阅读说明：本技术 一种基于负荷特性变化的配电网开断点优化方法 (Power distribution network breaking point optimization method based on load characteristic change ) 是由 崔建业 何云良 倪秋龙 胡真瑜 贾昕宁 吕磊炎 吴涛 陈华峰 叶宏 徐泽晖 金坚 于 2021-08-24 设计创作，主要内容包括：本发明提供了一种基于负荷特性变化的配电网开断点优化方法,所述优化方法具体为首先确定配电网开断点优化区域,提取优化区域内配电网一次设备数据并建立配电网一次设备模型,再采集优化区域内负荷量测数据并建立负荷量测模型,根据负荷量测模型和配电网一次设备模型获取优化区域内负荷特性数据,根据负荷特性数据构建网络重构算法模型,通过网络重构算法模型获取损耗效益最高的开关组合和调整时刻,将其作为开断点优化方案。本发明在制定开断点优化方案时,不仅对开断点进行优化调整,对于每次调整的调整时刻也进行限定,保证配电网优化区域内实施开断点优化方案后能够达到最大线损效益,既解决配电网负荷问题,又降低了配电网运行损耗。(The invention provides a power distribution network breaking point optimization method based on load characteristic change, which comprises the steps of firstly determining a power distribution network breaking point optimization area, extracting primary equipment data of a power distribution network in the optimization area and establishing a power distribution network primary equipment model, then collecting load measurement data in the optimization area and establishing a load measurement model, obtaining load characteristic data in the optimization area according to the load measurement model and the power distribution network primary equipment model, establishing a network reconstruction algorithm model according to the load characteristic data, obtaining a switch combination with the highest loss benefit and an adjustment time through the network reconstruction algorithm model, and taking the switch combination and the adjustment time as a breaking point optimization scheme. When the optimization scheme of the breaking points is formulated, the breaking points are optimized and adjusted, the adjusting time of each adjustment is limited, the maximum line loss benefit can be achieved after the optimization scheme of the breaking points is implemented in the optimization area of the power distribution network, the load problem of the power distribution network is solved, and the running loss of the power distribution network is reduced.)

1. A power distribution network breaking point optimization method based on load characteristic change is characterized by comprising the following steps:

determining an optimization area of a power distribution network break point, extracting primary equipment data of the power distribution network in the optimization area, and establishing a primary equipment model of the power distribution network according to the primary equipment data of the power distribution network;

secondly, collecting load measurement data in the optimized area, establishing a load measurement model according to the collected load measurement data, and then obtaining load characteristic data of the power distribution network in the optimized area according to the load measurement model and a primary equipment model of the power distribution network;

thirdly, constructing a network reconstruction algorithm model according to the load characteristic data of the power distribution network in the optimized area;

and step four, acquiring the switch combination and the adjustment time with the highest power distribution network line loss benefit in the optimization region through a network reconstruction algorithm model, and taking the acquired switch combination and the adjustment time as the determined optimization scheme of the break point corresponding to the optimization region of the break point of the power distribution network.

2. The method for optimizing the opening point of the power distribution network based on the load characteristic change according to claim 1, wherein the specific steps of obtaining the switch combination with the highest line loss benefit of the power distribution network in the optimized area and adjusting the moment through the network reconstruction algorithm model in the fourth step are as follows:

4.1, analyzing the circuit topology, acquiring the number k of circuits in a communication ring formed by directly connecting communication switches, acquiring the number m of the communication switches of the k circuits in the communication ring, and acquiring a switch array Sw [ m ] according to the number k of the circuits in the communication ring and the number m of the communication switches;

4.2, setting all measuring points in one day by taking the day as a period, and calculating the integral line Loss of one day of a communication ring formed by the existing communication switch before adjustment 0;

4.3, determining the adjusting times N, selecting N measuring point moments in a new day to perform permutation and combination, and taking the combination result of the N measuring point moments as the adjusting moment;

4.4, extracting the section data corresponding to each measuring point moment in the adjusting moment from Sw [ m]Get andcombining the switches, adjusting the switch positions according to the switch combinations, and calculating the one-day integral line Loss Loss1 of the communication ring after the disconnection point adjustment according to the section data corresponding to all the measuring point moments and the switch adjustment positions;

4.5, calculating the line loss benefit Lossp of the communication loop corresponding to the adjusting time, reselecting N measuring point times for permutation and combination, taking the combination result as the adjusting time, and returning to the step 4.4 until obtaining the line loss benefits Lossp corresponding to all the adjusting times;

4.6, screening out the maximum value in the line loss benefits Lossp corresponding to all the adjusting moments and recording the maximum value as Losspmax;

and 4.7, acquiring the corresponding switch combination and adjustment time when the line loss benefit is Losspmax.

3. The method for optimizing the disconnection point of the power distribution network based on the change of the load characteristics as claimed in claim 2, wherein the step 4.4 is performed in a step S_w[m]Get andwhen the switches are combined, the switch combination schemes causing the heavy load condition of the looped network or the circuit are screened and removed.

4. The method according to claim 1, wherein the specific process of obtaining the load characteristic data of the power distribution network in the optimized area according to the load measurement model and the power distribution network primary equipment model in the second step is as follows: selecting a time period, setting all measuring point moments in the time period, acquiring load measurement data of each power consumption terminal according to a load measurement model and a primary equipment model of the power distribution network, selecting one measuring point moment in the time period, extracting the load measurement data of each power consumption terminal corresponding to the measuring point moment, taking the average value of the load measurement data of all the power consumption terminals at the measuring point moment as a load characteristic value of the measuring point moment, acquiring the load characteristic values of all the measuring point moments in the time period, and acquiring the load characteristic data of the power distribution network in the selected time period according to the load characteristic values of all the measuring point moments.

5. The method for optimizing the disconnection point of the power distribution network based on the load characteristic change as claimed in claim 4, wherein the specific process of obtaining the load measurement data of each power consumption terminal according to the load measurement model and the primary equipment model of the power distribution network comprises: the method comprises the steps of obtaining position information of an electric terminal and a metering point according to a distribution network primary equipment model, matching the electric terminal with the metering point according to the position information of the electric terminal and the metering point, obtaining load measuring data corresponding to each metering point through a load measuring model, and obtaining load measuring data corresponding to each electric terminal according to a matching result of the electric terminal and the metering point.

6. The power distribution network breaking point optimization method based on load characteristic changes according to claim 1, wherein in the first step, the power distribution network primary equipment data comprise power distribution network primary equipment line graph mode data, power distribution network primary equipment line topology data and power distribution network primary equipment line account data.

Technical Field

The invention relates to the field of analysis and calculation of dispatching and running of a power distribution network, in particular to a power distribution network breaking point optimization method based on load characteristic change.

Background

With the development of society and the continuous increase of power consumption and the application of new technologies such as a smart grid, the total amount of power load is larger and larger, and the load composition and the load characteristics thereof are diversified and complicated along with the introduction of large-scale intermittent energy sources such as wind power integration and energy storage power station access. In order to meet the normal operation of the power distribution network, the line breaking points need to be adjusted and optimized according to load requirements, the adjustment of the line breaking points of the power distribution network can only be carried out by means of manual experience at present, the change of load characteristic data cannot be fully tracked by a manual adjustment mode, a reasonably adjusted breaking point optimization scheme is determined according to the change of the load characteristic data, the manually determined breaking point adjustment scheme cannot be adjusted to guarantee that the load problem of the operation of the power distribution network line can be solved, and the power supply reliability of the power distribution network is still difficult to guarantee.

Disclosure of Invention

The invention aims to overcome the defects in the prior art and provides a method for optimizing the breaking point of a power distribution network with changed load characteristics.

The purpose of the invention is realized by the following technical scheme:

a power distribution network breaking point optimization method based on load characteristic change comprises the following steps:

determining an optimization area of a power distribution network break point, extracting primary equipment data of the power distribution network in the optimization area, and establishing a primary equipment model of the power distribution network according to the primary equipment data of the power distribution network;

secondly, collecting load measurement data in the optimized area, establishing a load measurement model according to the collected load measurement data, and then obtaining load characteristic data of the power distribution network in the optimized area according to the load measurement model and a primary equipment model of the power distribution network;

thirdly, constructing a network reconstruction algorithm model according to the load characteristic data of the power distribution network in the optimized area;

and step four, acquiring the adjustment content of the breaking point with the highest line loss benefit through a network reconstruction algorithm model, and taking the acquired adjustment content of the breaking point as the optimization scheme of the breaking point corresponding to the optimization area of the breaking point of the power distribution network.

Further, the specific steps of obtaining the adjustment content of the breaking point with the highest line loss benefit through the network reconstruction algorithm model in the fourth step are as follows:

4.1, analyzing the circuit topology, acquiring the number k of circuits in a communication ring formed by directly connecting communication switches, acquiring the number m of the communication switches of the k circuits in the communication ring, and acquiring a switch array Sw [ m ] according to the number k of the circuits in the communication ring and the number m of the communication switches;

4.2, setting all measuring points in one day by taking the day as a period, and calculating the integral line Loss of one day of a communication ring formed by the existing communication switch before adjustment 0;

4.3, determining the adjusting times N, selecting N measuring point moments in a new day to perform permutation and combination, and taking the combination result of the N measuring point moments as the adjusting moment;

4.4, extraction adjustmentSection data corresponding to each measuring point in time from Sw [ m]Get andcombining the switches, adjusting the switch positions according to the switch combinations, and calculating the one-day integral line Loss Loss1 of the communication ring after the disconnection point adjustment according to the section data corresponding to all the measuring point moments and the switch adjustment positions;

4.5, calculating the line loss benefit Lossp of the communication loop corresponding to the adjusting time, reselecting N measuring point times for permutation and combination, taking the combination result as the adjusting time, and returning to the step 4.4 until obtaining the line loss benefits Lossp corresponding to all the adjusting times;

4.6, screening out the maximum value in the line loss benefits Lossp corresponding to all the adjusting moments and recording the maximum value as Losspmax;

and 4.7, acquiring the corresponding switch combination and adjustment time when the line loss benefit is Losspmax.

The adjustment time is set within a limited number of times by setting the measuring point time, so that the calculation amount is effectively reduced.

Further, in step 4.4 from Sw [ m ]]Get andwhen the switches are combined, the switch combination schemes causing the heavy load condition of the looped network or the circuit are screened and removed.

Further, the specific process of acquiring the load characteristic data of the power distribution network in the optimized area according to the load measurement model and the power distribution network primary equipment model in the step two is as follows: selecting a time period, setting all measuring point moments in the time period, acquiring load measurement data of each power consumption terminal according to a load measurement model and a primary equipment model of the power distribution network, selecting one measuring point moment in the time period, extracting the load measurement data of each power consumption terminal corresponding to the measuring point moment, taking the average value of the load measurement data of all the power consumption terminals at the measuring point moment as a load characteristic value of the measuring point moment, acquiring the load characteristic values of all the measuring point moments in the time period, and acquiring the load characteristic data of the power distribution network in the selected time period according to the load characteristic values of all the measuring point moments.

Further, the specific process of acquiring the load measurement data of each power consumption terminal according to the load measurement model and the distribution network primary equipment model is as follows: the method comprises the steps of obtaining position information of an electric terminal and a metering point according to a distribution network primary equipment model, matching the electric terminal with the metering point according to the position information of the electric terminal and the metering point, obtaining load measuring data corresponding to each metering point through a load measuring model, and obtaining load measuring data corresponding to each electric terminal according to a matching result of the electric terminal and the metering point.

The power utilization terminal is matched with the metering point through the primary equipment model of the power distribution network, the data acquired by the metering point are matched with the power utilization terminal, the load measurement data are distinguished according to the power utilization terminal, and when the power distribution network optimization region needs to be selected, the load characteristic data in the region can be acquired by extracting the load measurement data of all the power utilization terminals in the selected power distribution network region, so that the load characteristic data are refined, and the accuracy of optimization of the breaking point is further improved.

Further, in the first step, the power distribution network primary equipment data includes power distribution network primary equipment line graph model data, power distribution network primary equipment line topology data, and power distribution network primary equipment line account data.

The invention has the beneficial effects that:

the power distribution network model and the load measurement data are respectively modeled, load characteristic data changes are obtained according to the power distribution network equipment model and the load measurement data, the load characteristic data changes can reflect fluctuation characteristics of the power distribution network, and the load characteristic data changes obtained through the power distribution network equipment model and the load measurement data are more in line with actual operation conditions of the power distribution network, so that accuracy of subsequent breakpoint optimization is improved. When the content of the optimization scheme of the breaking points is formulated, not only are the switch combinations of the breaking points optimized and adjusted, but also the adjustment moments of the adjustment of the breaking points at each time are limited, the maximum line loss benefit can be achieved after the breaking points are optimized in the optimization region of the breaking points of the power distribution network, and the running loss of the power distribution network can be reduced while the load problem of the power distribution network is solved.

Drawings

FIG. 1 is a schematic flow diagram of the present invention;

fig. 2 is a schematic flow chart of acquiring content of adjustment of an opening point according to an embodiment of the present invention.

Detailed Description

The invention is further described below with reference to the figures and examples.

Example (b):

a method for optimizing a power distribution network breaking point based on load characteristic change is shown in figure 1 and comprises the following steps:

determining an optimization area of a power distribution network break point, extracting primary equipment data of the power distribution network in the optimization area, and establishing a primary equipment model of the power distribution network according to the primary equipment data of the power distribution network;

secondly, collecting load measurement data in the optimized area, establishing a load measurement model according to the collected load measurement data, and then obtaining load characteristic data of the power distribution network in the optimized area according to the load measurement model and a primary equipment model of the power distribution network;

thirdly, constructing a network reconstruction algorithm model according to the load characteristic data of the power distribution network in the optimized area;

and step four, acquiring the adjustment content of the breaking point with the highest line loss benefit through a network reconstruction algorithm model, and taking the acquired adjustment content of the breaking point as the optimization scheme of the breaking point corresponding to the optimization area of the breaking point of the power distribution network.

As shown in fig. 2, the specific steps of obtaining the adjustment content of the breaking point with the highest line loss benefit through the network reconstruction algorithm model in the fourth step are as follows:

4.1, analyzing the circuit topology, acquiring the number k of circuits in a communication ring formed by directly connecting communication switches, acquiring the number m of the communication switches of the k circuits in the communication ring, and acquiring a switch array Sw [ m ] according to the number k of the circuits in the communication ring and the number m of the communication switches;

4.2, setting 96 measuring points in one day by taking a day as a period and 15 minutes as one measuring point time, and calculating the integral line Loss of one day of a communication ring formed by the existing communication switch before adjustment 0;

4.3, determining the adjusting times N, selecting N measuring point moments in a new day to perform permutation and combination, and taking the combination result of the N measuring point moments as the adjusting moment;

4.4, extracting the section data corresponding to each measuring point moment in the adjusting moment from Sw [ m]Get andcombining the switches, adjusting the switch positions according to the switch combinations, and calculating the one-day integral line Loss Loss1 of the communication ring after the disconnection point adjustment according to the section data corresponding to all the measuring point moments and the switch adjustment positions;

4.5, calculating the line loss benefit Lossp of the link ring corresponding to the adjusting moment, and judging whether the number of the adjusting moments of the calculated link loss benefits reaches the number of the adjusting moments of the link ringIf not, returning to the step 4.3, reselecting N measuring points to perform permutation and combination at the moment, and taking the combination result as the adjustment time; if the line loss benefits are achieved, extracting line loss benefits Lossp corresponding to all the adjusting moments;

4.6, screening out the maximum value in the line loss benefits Lossp corresponding to all the adjusting moments and recording the maximum value as Losspmax;

and 4.7, acquiring the corresponding switch combination and adjustment time when the line loss benefit is Losspmax.

Taking the number of times of adjustment in one day as an example, the number of times of adjustment in step 4.5 is 9120.

All schemes of the breaking points are obtained by utilizing the switch combination in the interconnection network, but because the load is in the process of changing constantly in the operation process of the distribution network, the adjusting time of the breaking points is also selected, the adjusting time and the breaking point position with the highest line loss benefit are selected by the line loss benefits of each breaking point adjusting scheme at different adjusting times, and the adjusting time and the breaking point position are used as the adjusting content of the breaking point optimizing scheme, and after the optimizing adjustment is carried out according to the breaking point optimizing scheme, the operation power loss of the distribution network can be greatly reduced.

And 4.4, when the selected switches are combined to be used as a new disconnection point, the feasibility and the safety of the new disconnection point are ensured by taking the non-overrun condition of the line and the main transformer as a constraint condition.

In step 4.4 from Sw [ m]Get andwhen the switches are combined, the switch combination schemes causing the heavy load condition of the looped network or the circuit are screened and removed. The switch combination scheme which can cause the heavy load condition of the looped network or the line is removed, the subsequent line loss benefit calculation amount at each adjusting moment is reduced, and the optimization efficiency of the breaking point is improved.

By setting the measuring point time, the times of the measuring point time are limited within the limited times, the line loss benefit calculation times at each adjusting time can be controlled within the limited times, the calculation amount is reduced, and the calculation efficiency is improved.

The specific process of acquiring the load characteristic data of the power distribution network in the optimized area according to the load measurement model and the power distribution network primary equipment model in the second step is as follows: selecting a time period, setting all measuring point moments in the time period, acquiring load measurement data of each power consumption terminal according to a load measurement model and a primary equipment model of the power distribution network, selecting one measuring point moment in the time period, extracting the load measurement data of each power consumption terminal corresponding to the measuring point moment, taking the average value of the load measurement data of all the power consumption terminals at the measuring point moment as a load characteristic value of the measuring point moment, acquiring the load characteristic values of all the measuring point moments in the time period, and acquiring the load characteristic data of the power distribution network in the selected time period according to the load characteristic values of all the measuring point moments.

The specific process of acquiring the load measurement data of each power utilization terminal according to the load measurement model and the distribution network primary equipment model comprises the following steps: the method comprises the steps of obtaining position information of an electric terminal and a metering point according to a distribution network primary equipment model, matching the electric terminal with the metering point according to the position information of the electric terminal and the metering point, obtaining load measuring data corresponding to each metering point through a load measuring model, and obtaining load measuring data corresponding to each electric terminal according to a matching result of the electric terminal and the metering point.

In the first step, the power distribution network primary equipment data comprise power distribution network primary equipment line graph model data, power distribution network primary equipment line topology data and power distribution network primary equipment line account data.

Taking a certain line in a group of single-ring network 10kV lines in a certain area as an example, continuously collecting the operating day line loss electric quantity of the line 12 days before a certain month in a certain year, counting the day line loss statistical electric quantity of the previous 12 days, planning the corresponding daily break point optimization scheme in the next 12 days, adjusting the break point of the line in real time according to the obtained break point optimization scheme, collecting the daily day line loss electric quantity after adjustment, counting the day line loss statistical electric quantity of the next 12 days, comparing the day line loss statistical electric quantity with the day line loss statistical electric quantity of the previous 12 days, obtaining the total loss reduction electric quantity 206kWh after the break point adjustment from the comparison result, and achieving the purposes of eliminating local overload and reducing the operating loss.

The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.