阅读说明：本技术 分布式拓扑结构的位置识别方法、智能终端及存储介质 (Position identification method of distributed topological structure, intelligent terminal and storage medium ) 是由 高崇 陈沛东 曹华珍 何璇 李阳 唐俊熙 管霖 刘瑞宽 张黎明 林凌雪 于 2021-09-07 设计创作，主要内容包括：本申请公开了分布式拓扑结构的位置识别方法、智能终端及存储介质,应用于电缆型配电网,方法包括：在监控周期内,第一智能终端对本体开关状态、母线电压和支路电流进行采样,并计算出本侧采样结果；根据本侧采样结果,对第一智能终端监控的环网点以及第二智能终端监控的环网点之间的连接通道的开断情况进行第一次预判,得到第一预判结果；根据第一规则对第一预判结果进行二次判断,获得对通道的通断状态的判断结果；根据判断结果,获得第一智能终端在当前运行方式下自身所在馈线的拓扑关系以及在供电通道的上下游关系。本申请使得各智能终端能根据自己的状态量测,以及与相邻智能终端之间的信息交互,实现在线的拓扑变化识别。(The application discloses a position identification method of a distributed topology structure, an intelligent terminal and a storage medium, which are applied to a cable type power distribution network, wherein the method comprises the following steps: in the monitoring period, the first intelligent terminal samples the on-off state of the body, the bus voltage and the branch current and calculates a sampling result of the first intelligent terminal; according to the sampling result of the local side, performing first pre-judgment on the disconnection condition of a connecting channel between a ring network point monitored by a first intelligent terminal and a ring network point monitored by a second intelligent terminal to obtain a first pre-judgment result; performing secondary judgment on the first pre-judgment result according to a first rule to obtain a judgment result of the on-off state of the channel; and according to the judgment result, acquiring the topological relation of the feeder line of the first intelligent terminal under the current operation mode and the upstream and downstream relation of the power supply channel. According to the method and the system, each intelligent terminal can realize online topology change identification according to the state measurement of the intelligent terminal and the information interaction between the intelligent terminal and the adjacent intelligent terminal.)

1. The position identification method of the distributed topological structure is applied to a cable type power distribution network, and comprises the following steps:

in a monitoring period, a first intelligent terminal samples the on-off state of a body, bus voltage and branch current and calculates a sampling result of the local side, wherein the sampling result of the local side comprises a power frequency effective value, active power and reactive power;

according to the sampling result of the local side, performing first prejudgment on the disconnection condition of a connecting channel between the looped network point monitored by the first intelligent terminal and the looped network point monitored by the second intelligent terminal to obtain a first prejudgment result; the second intelligent terminal is an intelligent terminal adjacent to the first intelligent terminal, and the first pre-judgment result comprises the on-off state of the channel bilateral switch and a corresponding state confidence coefficient;

performing secondary judgment on the first pre-judgment result according to a first rule to obtain a judgment result of the on-off state of the channel; the judgment result comprises a channel on-off state and a channel confidence coefficient;

and according to the judgment result, acquiring the topological relation of the feeder line of the first intelligent terminal under the current operation mode and the upstream and downstream relation of the power supply channel.

2. The method according to claim 1, wherein the on-off state of the channel bilateral switch includes a local side switch state and an opposite side switch state, and the performing the second judgment on the first pre-judgment result according to the first rule includes:

if the opposite side switch state of the first pre-judgment result is unknown, determining a channel on-off state and a channel confidence coefficient according to the switch state of the current side;

if the switch state of the local side of the first prejudged result is communicated with the switch state of the opposite side of the first prejudged result, determining that the on-off state of the channel is communicated, and taking the channel confidence coefficient as the minimum value of the confidence coefficients of the two switch states;

and if the two switch states of the first prejudgment result are connected and disconnected respectively, determining that the on-off state of the channel is disconnected, and taking the corresponding switch state confidence coefficient that the switch state is disconnected as the channel confidence coefficient.

3. The method for identifying a location of a distributed topology according to claim 1, wherein the obtaining, according to the determination result, a topology relationship of a feeder line on which the first intelligent terminal is located in a current operation mode and before an upstream-downstream relationship of a power supply channel, further comprises:

in the monitoring period, the second intelligent terminal samples the on-off state of the body, the bus voltage and the branch current and calculates an outer side sampling result;

according to the outer side sampling result, performing secondary pre-judgment on the disconnection condition of a connecting channel between the looped network point monitored by the first intelligent terminal and the looped network point monitored by the second intelligent terminal to obtain a second pre-judgment result;

and the first intelligent terminal receives a second pre-judgment result sent by the second intelligent terminal and corrects the judgment result according to the second pre-judgment result and a second rule.

4. The method according to claim 3, wherein the modifying the determination result according to the second predetermined result and a second rule includes:

if the state confidence coefficient of the local side switch state of the first intelligent terminal is 1, keeping the original local side switch state and state confidence coefficient;

if the state confidence coefficient of the opposite side switch state of the second intelligent terminal is 1, the opposite side switch state and the state confidence coefficient of the second intelligent terminal are adopted;

if the judgment of the second intelligent terminal on the switch at the side is different from that of the first intelligent terminal and the confidence coefficient is higher than that of the first intelligent terminal, adopting the local switch state of the second intelligent terminal and taking the minimum value of the two confidence coefficients as the confidence coefficient of the state judgment;

and if the judgment of the first intelligent terminal on the opposite side switch is different from that of the second intelligent terminal, and the confidence coefficient is higher than that of the second intelligent terminal, adopting the state of the opposite side switch of the first intelligent terminal, and taking the minimum value of the two confidence coefficients as the confidence coefficient of the state judgment.

5. The method according to claim 3, wherein after the second determination is performed on the first predetermined result according to the first rule and the determination result of the on-off state of the channel is obtained, the method further comprises:

summarizing the first pre-judgment result and the judgment result to form first list information; the first list information comprises a channel name, a channel on-off state, a channel confidence level, a switch name, a switch state, a switch confidence level and a label.

6. The method for identifying a location of a distributed topology according to claim 5, wherein after performing a secondary determination on the first pre-determined result according to a first rule and obtaining a determination result of an on-off state of a channel, the method further comprises:

the second intelligent terminal collects a second pre-judgment result to form second list information;

and the first intelligent terminal obtains second list information sent by the second intelligent terminal.

7. The method for identifying the position of the distributed topology structure according to claim 1, wherein the obtaining, according to the determination result, the topology relationship of the feeder line where the first intelligent terminal is located in the current operation mode and the upstream-downstream relationship of the feeder line in the power supply channel comprises:

each first intelligent terminal generates an undirected graph topology tree from a local ring network point by adopting a width priority mode;

and finding the first intelligent terminal closest to the side of the power transformation station in the undirected graph topology tree, and adjusting the tree shape by taking the first intelligent terminal as a root node and a source node to obtain a new directed graph topology tree with upstream and downstream relations.

8. The method for location identification of a distributed topology according to claim 1,

the state confidence is divided from high to low into 1, 0.5, and 0.

9. An intelligent terminal, characterized in that it comprises a memory and a processor, said memory being connected to said processor, said memory storing a computer program which, when executed by said processor, implements the method for location identification of a distributed topology according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that a computer program is stored which, when executed, implements the method of location identification of a distributed topology of any of claims 1-8.

Technical Field

The application relates to the technical field of medium-voltage distribution networks, in particular to a position identification method of a distributed topology structure, an intelligent terminal and a storage medium.

Background

With the development of distributed power supplies, the trend distribution of an active power distribution network is increasingly complex and changeable, the number of objects to be monitored is increasingly huge, and a medium-voltage power distribution network develops towards the direction of distributed cooperative control in the future. Namely, the distribution terminals with quite intelligent decision-making capability are configured at the key distribution ring points. Monitoring and judging information is exchanged through interactive communication between adjacent intelligent terminals, and various control, protection and regulation functions of the power distribution network are realized in a partition autonomous and cooperative mode.

In areas with fast power load increase, the distribution network structure is constantly changing due to newly built substations and new customer installation. Moreover, the multi-loop feeder line in the medium-voltage distribution network is structurally interconnected and is open-loop in operation, and the operation topology changes frequently. Cooperative control and decision based on the intelligent terminals depend on that each terminal has correct judgment on the topological relation of the line where the terminal is located, and particularly, the upstream and downstream power supply relation between the self ring network and the respective adjacent buses must be accurately tracked. The passive topology updating by the indication of the superior control center is difficult to ensure the real-time performance and the reliability.

Disclosure of Invention

The application provides a position identification method of a distributed topological structure, an intelligent terminal and a storage medium, which are used for solving the problem that the real-time performance and the reliability are difficult to guarantee in the prior art in topological updating.

In order to solve the technical problem, the application provides a position identification method of a distributed topology structure, which is applied to a cable-type power distribution network, and the position identification method of the distributed topology structure comprises the following steps: in the monitoring period, the first intelligent terminal samples the on-off state of the body, the bus voltage and the branch current and calculates a sampling result of the local side, wherein the sampling result of the local side comprises a power frequency effective value, active power and reactive power; according to the sampling result of the local side, performing first pre-judgment on the disconnection condition of a connecting channel between a ring network point monitored by a first intelligent terminal and a ring network point monitored by a second intelligent terminal to obtain a first pre-judgment result; the second intelligent terminal is adjacent to the first intelligent terminal, and the first pre-judgment result comprises the on-off state of the channel bilateral switch and the corresponding state confidence coefficient; performing secondary judgment on the first pre-judgment result according to a first rule to obtain a judgment result of the on-off state of the channel; the judgment result comprises a channel on-off state and a channel confidence coefficient; and according to the judgment result, acquiring the topological relation of the feeder line of the first intelligent terminal under the current operation mode and the upstream and downstream relation of the power supply channel.

Optionally, the on-off state of the channel bilateral switch includes a local side switch state and an opposite side switch state, and the second judgment is performed on the first pre-judgment result according to a first rule, including: if the opposite side switch state of the first pre-judgment result is unknown, determining a channel on-off state and a channel confidence coefficient according to the switch state of the current side; if the switch state of the local side of the first prejudged result is communicated with the switch state of the opposite side of the first prejudged result, determining that the on-off state of the channel is communicated, and taking the channel confidence coefficient as the minimum value of the confidence coefficients of the two switch states; and if the two switch states of the first prejudgment result are connected and disconnected respectively, determining that the on-off state of the channel is disconnected, and taking the corresponding switch state confidence coefficient that the switch state is disconnected as the channel confidence coefficient.

Optionally, obtaining, according to the determination result, a topological relationship of a feeder line where the first intelligent terminal is located in the current operation mode and before the upstream and downstream relationship of the power supply channel, further includes: in the monitoring period, the second intelligent terminal samples the on-off state of the body, the bus voltage and the branch current and calculates an outer side sampling result; according to the outer side sampling result, performing secondary pre-judgment on the disconnection condition of a connecting channel between the looped network point monitored by the first intelligent terminal and the looped network point monitored by the second intelligent terminal to obtain a second pre-judgment result; and the first intelligent terminal receives a second pre-judgment result sent by the second intelligent terminal and corrects the judgment result according to the second pre-judgment result and a second rule.

Optionally, the modifying the judgment result according to the second pre-judgment result and the second rule includes: if the state confidence coefficient of the local side switch state of the first intelligent terminal is 1, keeping the original local side switch state and state confidence coefficient; if the state confidence coefficient of the opposite side switch state of the second intelligent terminal is 1, the opposite side switch state and the state confidence coefficient of the second intelligent terminal are adopted; if the judgment of the second intelligent terminal on the switch at the side is different from that of the first intelligent terminal and the confidence coefficient is higher than that of the first intelligent terminal, adopting the local switch state of the second intelligent terminal and taking the minimum value of the two confidence coefficients as the confidence coefficient of the state judgment; and if the judgment of the first intelligent terminal on the opposite side switch is different from that of the second intelligent terminal, and the confidence coefficient is higher than that of the second intelligent terminal, adopting the state of the opposite side switch of the first intelligent terminal, and taking the minimum value of the two confidence coefficients as the confidence coefficient of the state judgment.

Optionally, after performing secondary judgment on the first pre-judgment result according to the first rule and obtaining a judgment result of the on-off state of the channel, the method further includes: summarizing the first pre-judgment result and the judgment result to form first list information; the first list information comprises a channel name, a channel on-off state, a channel confidence level, a switch name, a switch state, a switch confidence level and a label.

Optionally, after performing secondary judgment on the first pre-judgment result according to the first rule and obtaining a judgment result of the on-off state of the channel, the method further includes: the second intelligent terminal collects a second pre-judgment result to form second list information; and the first intelligent terminal obtains the second list information sent by the second intelligent terminal.

Optionally, obtaining, according to the determination result, a topological relationship of the feeder where the first intelligent terminal is located in the current operation mode and an upstream-downstream relationship of the first intelligent terminal in the power supply channel, including: each first intelligent terminal generates an undirected graph topology tree from a local ring network point by adopting a width priority mode; and finding the first intelligent terminal closest to the side of the transformer station in the undirected graph topology tree, and adjusting the tree shapes by taking the first intelligent terminal as a root node and a source node to obtain a new directed graph topology tree with upstream and downstream relations.

Alternatively, the state confidence is divided from high to low into 1, 0.5, and 0.

In order to solve the above technical problem, the present application provides an intelligent terminal, which includes a memory and a processor, where the memory is connected to the processor, and the memory stores a computer program, and the computer program is executed by the processor to implement the location identification method of the distributed topology structure.

To solve the above technical problem, the present application provides a computer-readable storage medium storing a computer program, which when executed, implements the location identification method of the distributed topology described above.

The position identification method of the distributed topological structure, the intelligent terminals and the storage medium are applied to a cable-type power distribution network, each intelligent terminal can realize online topological change identification according to state measurement of the intelligent terminal and information interaction between the intelligent terminal and adjacent intelligent terminals, and high fault tolerance is achieved for a small number of measurement errors, so that the real-time performance and the reliability of topological updating of the medium-voltage power distribution network are guaranteed.

Drawings

In order to more clearly illustrate the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 is a schematic diagram of an embodiment of a feeder group and an intelligent terminal configuration according to the present application;

FIG. 2 is a flowchart illustrating an embodiment of a location identification method for a distributed topology according to the present application;

FIG. 3 is a decision tree rule diagram for predicting the channel switch state at the present side;

FIG. 4 is a schematic flow chart diagram illustrating another embodiment of a method for identifying a location of a distributed topology according to the present application;

FIG. 5 is a schematic diagram of an embodiment of an undirected graph topology tree of the present application;

fig. 6 is a schematic diagram of an embodiment of a directed graph topology tree formed by substation nodes as root nodes according to the present application;

FIG. 7 is a schematic structural diagram of an embodiment of an intelligent terminal according to the present application;

FIG. 8 is a schematic structural diagram of an embodiment of a computer-readable storage medium of the present application.

Detailed Description

In order to make those skilled in the art better understand the technical solution of the present application, the location identification method, the intelligent terminal and the storage medium of the distributed topology provided in the present application are further described in detail below with reference to the accompanying drawings and the detailed description.

The application provides a position identification method of a distributed topological structure, which is applied to a cable type power distribution network and firstly explains nouns and symbols related in the application. The method comprises the following specific steps:

(1) a medium voltage line in which topological interconnections exist is called a feeder group. When any fault occurs in the feeder group, the downstream load and the distributed power supply of the fault section can be supplied with power by other feeders through the interconnection switch.

(2) And configuring the intelligent terminal in the medium-voltage distribution network. Each intelligent terminal is responsible for monitoring one isolatable section. An intelligent terminal is generally configured by taking a ring-back point as a unit. Fig. 1 is a schematic diagram of an embodiment of a feeder group and an intelligent terminal configuration according to the present application.

The intelligent terminals are divided into two types, one type is the intelligent terminal on the low-voltage side of the transformer substation, and the identification is ST. Each substation low voltage bus has a unique terminal number, such as ST1, ST2 and ST3 in fig. 1. The other type is an intelligent terminal corresponding to each power supply section in the power distribution network, which is marked as SA, such as SA1-7 in FIG. 1. Wherein, the types of the first intelligent terminal and the second intelligent terminal mentioned in the following embodiments are SA.

(4) And each SA can perform timing sampling on the switching state of the ring network point, the bus voltage and the current of each branch in the monitoring area, and complete the calculation of the direction and the magnitude of the active power and the reactive power of the branch.

(5) Various decisions of the SA need to enhance fault tolerance by means of information interaction with adjacent SAs. The adjacent is that a power grid channel connecting two intelligent terminal monitoring buses does not need to pass through the supervision range of other intelligent terminals. Taking SA1 in fig. 1 as an example, its neighboring terminals (neighboring for short) include SA2, SA4 and SA 6.

(6) Each SA is configured to store the serial number of its adjacent SA and the serial numbers of the branch switches corresponding to the own side and the adjacent side in the electric channel of the adjacent terminal monitoring bus. Taking SA1 in fig. 1 as an example, it stores the following configuration information:

TABLE 1 switching pairing table of looped network points and adjacent looped network points

Correspondingly, the subset related to the adjacent SA/ST in the switch branch supervised by the intelligent terminal is recorded as N, and the subset formed by other switches is recorded as N. Taking SA1 as an example, N ═ k1, k2, k3, and-N ═ k4, k5, k6, k 7.

(7) Considering the frequency of the topology change of the power distribution network, each SA only needs to store the adjacent number information during configuration, and the numbers of other non-adjacent intelligent terminals in the feeder group and the topology structure information do not need to be pre-stored. For example, as in fig. 1, SA1 does not need to set and store other intelligent terminals in the feeder group in the configuration file, including SA1, SA3, SA5, SA7, ST1, ST2, ST3, and so on. The normal operation of the SA1 is not influenced by the topological change of other parts in the feeder group and the increase and decrease of the terminal.

The purpose of the application is that in the operation process, each intelligent terminal can identify the topology completion topological relation of the feeder line where the intelligent terminal is located and the upstream and downstream relation of the power supply channel in the current operation mode on line through the judgment logic of the intelligent terminal and the adjacent communication.

There are two key problems to be solved when implementing the above topological relation identification:

1) each node may contain a distributed power supply, so that the upstream and downstream relation cannot be simply judged according to the active power flow direction.

2) Local measurement of each intelligent terminal, including switch states, branch currents and the like, may have errors, and topology identification needs to have certain fault tolerance.

Referring to fig. 2, fig. 2 is a schematic flowchart illustrating an embodiment of a method for identifying a location of a distributed topology according to the present application, in this embodiment, the method for identifying a location of a distributed topology may include steps S110 to S140, where each step is as follows:

s110: in the monitoring period, the first intelligent terminal samples the on-off state of the body, the bus voltage and the branch current and calculates the sampling result of the side.

And the sampling result of the local side comprises a power frequency effective value, active power and reactive power.

Step S110 is a local signal acquisition step. In each monitoring period (typical value is 250ms), each first intelligent terminal SA samples the local switch state, the bus voltage and the branch current, calculates the power frequency effective value, and calculates the magnitude and direction of the active power and the reactive power of each branch.

Taking the first intelligent terminal SA1 as an example, the ring network point branch monitored by the intelligent terminal SA1 has a pure load branch (k4), a distributed power supply branch (k7), and a mixed branch (k5, k6) containing load and distributed power supply. The monitoring amount of the first intelligent terminal SA1 includes, per monitoring period:

i) analog quantity:

the fundamental wave effective value of the voltage of the looped network bus is as follows: v (SA 1);

branch current fundamental effective value: i (SA1-k1), I (SA1-k2), I (SA1-k3), I (SA1-k4), I (SA1-k5), I (SA1-k6) and I (SA1-k 7);

branch active power: p (SA1-k1), P (SA1-k2), P (SA1-k3), P (SA1-k4), P (SA1-k5), P (SA1-k6) and P (SA1-k7), wherein the power direction is positive when flowing into the bus and negative when flowing out.

Branch reactive power: q (SA1-k1), Q (SA1-k2), Q (SA1-k3), Q (SA1-k4), Q (SA1-k5), Q (SA1-k6) and Q (SA1-k7), wherein the power direction is positive when flowing into a bus and negative when flowing out.

ii) switching value:

the on-off state of all switches is as follows: g (SA1-k1), g (SA1-k2), g (SA1-k3), g (SA1-k4), g (SA1-k5), g (SA1-k6), g (SA1-k7), wherein the switch is closed to be 1 and the switch is opened to be 0.

S120: and according to the sampling result of the side, performing first prejudgment on the disconnection condition of a connecting channel between the looped network point monitored by the first intelligent terminal and the looped network point monitored by the second intelligent terminal to obtain a first prejudgment result.

The second intelligent terminal is adjacent to the first intelligent terminal, and the first prejudgment result comprises the on-off state of the channel bilateral switch and the corresponding state confidence coefficient. Alternatively, the state confidence is divided from high to low into 1, 0.5, and 0.

And each SA performs first prejudgment on the disconnection condition of the connecting channel between the ring network point where the SA is located and the ring network point monitored by the adjacent SA according to local measurement. The object of pre-judgment analysis is each switch branch belonging to the set N in the SA, and the pre-judgment content comprises state consistency detection and pre-judgment of the on-off state of the switches on two sides of the channel.

Recording the SA to be judged as SAx, and setting one switching branch in the switching subset N of the SAx to be judged as: the switch number SAx-ka of the present side, the adjacent SA is SAy, and the switch number of the adjacent side is SAy-kb. The prediction results needed are shown in table 2.

TABLE 2 SA PRE-NORMAL INDICATION

The decision rule is described by a decision tree, as shown in fig. 3, fig. 3 is a decision tree rule diagram for predicting the channel switch state at the present side. Wherein, Σ p (SAx-ki) denotes that the smart terminal SAx sums all branch active powers of its monitoring ring-around point. Epsilon is a small integer slightly larger than the measurement error. Null indicates that the value is unknown.

S130: and carrying out secondary judgment on the first pre-judgment result according to a first rule to obtain a judgment result of the on-off state of the channel.

The judgment result comprises a channel on-off state and a channel confidence coefficient.

If the opposite side switch state of the first pre-judgment result is unknown, determining a channel on-off state and a channel confidence coefficient according to the switch state of the current side; if the switch state of the local side of the first prejudged result is communicated with the switch state of the opposite side of the first prejudged result, determining that the on-off state of the channel is communicated, and taking the channel confidence coefficient as the minimum value of the confidence coefficients of the two switch states; and if the two switch states of the first prejudgment result are connected and disconnected respectively, determining that the on-off state of the channel is disconnected, and taking the corresponding switch state confidence coefficient that the switch state is disconnected as the channel confidence coefficient.

That is, step S130 is to form a channel state judgment, and exchange information with the adjacent, each SA generalizes the judgment of the channel switch state in the previous step, and forms a judgment of the channel on/off state, and the first rule includes the following three rules, as follows:

rule 1 if s1(SAy-kb) ═ NULL, the channel state and confidence are determined by the local switch states, i.e., the state and c value of s1 (SAx-ka).

Rule 2, if the measurement switch states are all 1, the channel state is 1 (link), and the confidence coefficient takes the minimum value of the two switch state c values.

Rule 3, if the measurement switch states are 1 and 0, respectively, the channel state is 0 (off), and the confidence coefficient takes the c value corresponding to the switch state being 0.

Summarizing the judgment results of the state of each channel and each switch, the SA forms the following list information and sends the list information to all adjacent SAs. Wherein the tag identifies from which SA the determination for the channel came.

Taking fig. 1 as an example, if the open-loop operation mode is SA2-k1 and SA1-k2 are disconnected and all local states are collected correctly, the list formed by the SA1 local judgments is as follows:

TABLE 3 example information List exchanged with neighbors by SA1

S140: and according to the judgment result, acquiring the topological relation of the feeder line of the first intelligent terminal under the current operation mode and the upstream and downstream relation of the power supply channel.

Each first intelligent terminal generates an undirected graph topology tree from a local ring network point by adopting a width priority mode; and finding the first intelligent terminal closest to the side of the transformer station in the undirected graph topology tree, and adjusting the tree shapes by taking the first intelligent terminal as a root node and a source node to obtain a new directed graph topology tree with upstream and downstream relations.

The embodiment provides a position identification method of a distributed topology structure, which is applied to a cable-type power distribution network, each intelligent terminal can realize online topology change identification according to the state measurement of the intelligent terminal and the information interaction between the intelligent terminal and the adjacent intelligent terminal, and has high fault tolerance for a small amount of measurement errors, so that the real-time performance and the reliability of topology updating of a medium-voltage power distribution network are guaranteed.

Referring to fig. 4, fig. 4 is a schematic flowchart of another embodiment of a location identification method of a distributed topology structure according to the present application, in this embodiment, the location identification method of the distributed topology structure may include steps S210 to S240, which are the same as the above embodiments and are not described herein again, and each step is specifically as follows:

s210: in the monitoring period, the first intelligent terminal samples the on-off state of the body, the bus voltage and the branch current and calculates a sampling result of the first intelligent terminal; and the second intelligent terminal samples the on-off state of the body, the bus voltage and the branch current and calculates an outer side sampling result.

S220: and according to the sampling result of the side, performing first prejudgment on the disconnection condition of a connecting channel between the looped network point monitored by the first intelligent terminal and the looped network point monitored by the second intelligent terminal to obtain a first prejudgment result.

S230: and performing secondary pre-judgment on the disconnection condition of a connecting channel between the ring network point monitored by the first intelligent terminal and the ring network point monitored by the second intelligent terminal according to the outside sampling result to obtain a second pre-judgment result.

S240: and carrying out secondary judgment on the first pre-judgment result according to a first rule to obtain a judgment result of the on-off state of the channel.

Optionally, after performing secondary judgment on the first pre-judgment result according to the first rule and obtaining a judgment result of the on-off state of the channel, the method further includes: summarizing the first pre-judgment result and the judgment result to form first list information; the first list information comprises a channel name, a channel on-off state, a channel confidence level, a switch name, a switch state, a switch confidence level and a label.

Optionally, after performing secondary judgment on the first pre-judgment result according to the first rule and obtaining a judgment result of the on-off state of the channel, the method further includes: the second intelligent terminal collects a second pre-judgment result to form second list information; and the first intelligent terminal obtains the second list information sent by the second intelligent terminal.

S250: and the first intelligent terminal receives a second pre-judgment result sent by the second intelligent terminal and corrects the judgment result according to the second pre-judgment result and a second rule.

If the state confidence coefficient of the local side switch state of the first intelligent terminal is 1, keeping the original local side switch state and state confidence coefficient;

if the state confidence coefficient of the opposite side switch state of the second intelligent terminal is 1, the opposite side switch state and the state confidence coefficient of the second intelligent terminal are adopted;

if the judgment of the second intelligent terminal on the switch at the side is different from that of the first intelligent terminal and the confidence coefficient is higher than that of the first intelligent terminal, adopting the local switch state of the second intelligent terminal and taking the minimum value of the two confidence coefficients as the confidence coefficient of the state judgment;

and if the judgment of the first intelligent terminal on the opposite side switch is different from that of the second intelligent terminal, and the confidence coefficient is higher than that of the second intelligent terminal, adopting the state of the opposite side switch of the first intelligent terminal, and taking the minimum value of the two confidence coefficients as the confidence coefficient of the state judgment.

S260: and according to the corrected judgment result, acquiring the topological relation of the feeder line of the first intelligent terminal under the current operation mode and the upstream and downstream relation of the power supply channel.

In this embodiment, connectivity correction and information expansion based on the neighbor information may be further included, and each SA receives list information from the neighbors and performs connectivity correction of the corresponding channel for the judgment of the channel between itself and the neighbors.

Each SA only corrects the judgment of the channel itself and the adjacent channel, and the second rule of correction includes four, specifically as follows:

if the confidence coefficient of the own judgment on the switch at the side is 1, the state and the confidence coefficient of the own judgment on the switch at the side are continuously adopted for judgment.

Rule 2, if the confidence of the determination of the opposite-side SA to the opposite-side switch state is 1, the determination and confidence determination of the opposite-side SA to the opposite-side switch state are adopted.

Rule 3, if the judgment of the switch state of the side by the opposite side SA is different from that of the side and the confidence coefficient is higher than that of the side, the judgment of the switch state of the side by the opposite side SA is adopted, and the minimum value of the two confidence coefficients is taken as the confidence coefficient of the state judgment.

Rule 4, if the determination of the SA of the current side on the opposite-side switch state is different from that of the opposite side and the confidence is higher than that of the opposite side, the determination of the SA of the current side on the opposite-side switch state is adopted and the minimum of the two confidences is taken as the confidence of the state determination.

And (4) after the updating is finished, the judgment of the channel state is updated by reapplying the channel on/off state judgment rule in the step (3).

And then expanding the state judgment of other channels which are provided by the opposite side and have no adjacent relation with the side into the topology information table of the SA.

Still taking the operation mode exemplified above as an example, the SA1 will receive information from SA2, SA4 and SA6 in the first round of exchange as shown in tables 4-6.

TABLE 4 exchange information from SA2

TABLE 5 exchange information from SA4

TABLE 6 exchange information from SA6

After connectivity modification and information table expansion, the SA1 stores the following topology information table:

table 7 SA1 stored topology information table (updated) example

Meanwhile, each of the other SAs also expands its own topology information table.

In other embodiments, periodic information table rolling update and exchange can be further included. Specifically, the method comprises the following steps:

and entering the next monitoring period. Each SA repeatedly performs the above steps 2-4 according to the updated local measurements. The following supplementary remarks are required for this:

1) in step 2, only the updating of the channel state prediction between the SA and its neighbor is considered, but the updating is performed on the expanded topology information table obtained in step 4 of the previous monitoring period. The method is to keep the channel judgment provided by other SAs in the information table unchanged, and only update the channel state prejudgment between adjacent SAs made by the SA.

2) And 3, sending the topology information table which is sent to the adjacent and updated in the second step, wherein the topology information table contains other channel information provided by other non-adjacent SAs.

3) And the information expansion and updating in the step 4 keep the information source of the label column unchanged. That is, if there is already a record of the channel in the topology information table of the SA, the old status information is overwritten with the new status information only if the channel and the tag in the adjacent topology records match with the original records. And if a new channel record which does not exist in the original topology information table of the SA appears, expanding a new channel record according to the description of the step 4.

Still taking the above-mentioned exemplary operation as an example, after three periods of rolling update, the SA1 has obtained complete feeder group topology information, and the formed information table is shown in table 8.

TABLE 8 representation of topology information stored by SA1 after three cycles

Next, a periodic topology generation step may be performed:

the topology generation may be performed after accumulating the rolling updates of a plurality of monitoring periods, that is, the period of the topology update should be an integer multiple of the monitoring period. The reason for adopting the setting is that the sensing domain of each SA can expand the range of the primary neighborhood every time a monitoring period passes, after a topology change occurs, K ring network points provided with SAs need to pass between a ring network point where a certain SAi is located and a ring network point which is associated with displacement, and the topology change can be sensed by the SAi after K monitoring periods.

Considering the number of backbone ring network points of a general distribution feeder group, it is proposed that the period of topology generation is 4-6 monitoring periods, i.e. topology change will be sensed by all SAs within 1s to 1.5 s.

The topology generation mode is as follows:

and each SA generates an undirected graph topology tree from the ring network point by adopting a width priority mode. The generation mode is that if the channel state of the local node is closed, the opposite side ring network point of the channel is represented by the SA number of the ring network point. By analogy of the first level, the undirected graph topology tree can be generated.

And then, finding the substation side intelligent terminal with the label ST in the undirected graph topology tree, and adjusting the tree shape by taking the undirected graph topology tree as a root node and a source node to obtain a new directed graph topology tree with upstream and downstream relations. Wherein, the superior node in the channel with the communication relation is the upstream node of the lower node.

Still taking the foregoing operation as an example, the SA1 finds its undirected graph topology tree based on table 8 by breadth-first search as shown in fig. 5. A directed graph topology tree formed by taking the substation node as a root node is shown in fig. 6.

Based on the position identification method of the distributed topology structure, the present application also provides an intelligent terminal, as shown in fig. 7, and fig. 7 is a schematic structural diagram of an embodiment of the intelligent terminal of the present application. The intelligent terminal 700 may comprise a memory 71 and a processor 72, the memory 71 is connected to the processor 72, a computer program is stored in the memory 71, and the computer program realizes the method of any of the above embodiments when executed by the processor 72. The steps and principles thereof have been described in detail in the above method and will not be described in detail herein.

In the present embodiment, the processor 72 may also be referred to as a Central Processing Unit (CPU). The processor 72 may be an integrated circuit chip having signal processing capabilities. The processor 72 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

Based on the position identification method of the distributed topology structure, the application also provides a computer readable storage medium. Referring to fig. 8, fig. 8 is a schematic structural diagram of an embodiment of a computer-readable storage medium according to the present application. The computer-readable storage medium 800 has stored thereon a computer program 81, which computer program 81, when being executed by a processor, implements the method of any of the above embodiments. The steps and principles thereof have been described in detail in the above method and will not be described in detail herein.

Further, the computer-readable storage medium 800 may also be various media that can store program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic tape, or an optical disk.

It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. In addition, for convenience of description, only a part of structures related to the present application, not all of the structures, are shown in the drawings. The step numbers used herein are also for convenience of description only and are not intended as limitations on the order in which the steps are performed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms "first", "second", etc. in this application are used to distinguish between different objects and not to describe a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.