阅读说明：本技术 包含故障判别的光伏阵列电压与电流传感器的优化布设方法 (Optimal layout method of photovoltaic array voltage and current sensors including fault discrimination ) 是由 汪海宁 陈昱明 闫秉科 张健 苏建徽 于 2019-11-13 设计创作，主要内容包括：本发明公开了一种包含故障判别的光伏阵列电压与电流传感器的优化布设方法,针对串并联光伏阵列连接结构特点,使用“交错式”布设每一串联支路的电压传感器,依据采集数据计算电压均值,数值偏差等特征量,分组判别组件短路和遮阴热斑故障；使用“间隔式”布设光伏阵列电流传感器,依据采集数据计算各组电流特征值,结合电压传感器判别结果,分组判别组件开路故障,从而利用有限的传感器采集数据并结合电路结构特征完成对光伏阵列运行状态的监测与常见故障的定位识别,在确保监测精度的条件下,减少传感器的使用数量,降低系统投资成本。(The invention discloses an optimized layout method of photovoltaic array voltage and current sensors including fault discrimination, aiming at the characteristics of a series-parallel photovoltaic array connection structure, the voltage sensors of each series branch are distributed in a staggered mode, characteristic quantities such as voltage mean values, numerical deviations and the like are calculated according to collected data, and short circuit and shading hot spot faults of components are discriminated in groups; the photovoltaic array current sensors are distributed at intervals, the characteristic values of all groups of currents are calculated according to the collected data, the open-circuit faults of the assemblies are judged in groups by combining the judgment results of the voltage sensors, so that the monitoring of the running state of the photovoltaic array and the positioning and identification of common faults are completed by using limited sensor collected data and combining the structural characteristics of the circuit, the number of the sensors is reduced under the condition of ensuring the monitoring precision, and the investment cost of the system is reduced.)

1. An optimal layout method of a photovoltaic array voltage and current sensor with fault discrimination is characterized by comprising the following steps:

step 1, supposing that the photovoltaic array comprises J parallel-connected group strings, wherein any J-th group string is a branch formed by connecting K photovoltaic modules in series; j ═ 1,2, …, J;

dividing K photovoltaic modules in the jth string into a group according to 'three continuous photovoltaic modules are in one group' to obtain

step 2, calculating the voltage mean value of the jth group string by using the formula (1)

Step 3, calculating the deviation r of the voltage sensor a in the ith group in the jth group by using the formula (2)_iaDeviation r from voltage sensor b_ib：

Step 4, deducing the maximum power point voltage V of the photovoltaic module according to the P-V characteristic curve of the photovoltaic module_MPPFor discriminating the voltage mean of the jth group stringWhether or not:at V_MPPWithin the range of +/-delta%, if the voltage condition is met, directly judging the voltage condition of the component, and obtaining a judgment result of the voltage state; otherwise, 2 XV_MPPAs a regression mean and assigned to

Step 5, dividing the J parallel groups in the photovoltaic array into a group according to 'two continuous groups are divided into a group', so as to obtainGroup (d);

a current sensor is arranged on the first group string u and the second group string v in any X group, so that data acquired by all the current sensors are obtained

step 6, calculating the current I of the Xth group by using the formula (3)_X：

I_X＝MI_X-MI_X-1(3)

In the formula (3), when X is 1, MI is allowed to stand_X-1＝0；

Step 7, based on the maximum power point voltage V_MPPAnd real-time illumination intensity data S acquired by the illumination intensity collector, determining the output current value of the photovoltaic module which normally operates under the current irradiance S by combining the I-V characteristic curve of the photovoltaic module, and recording the output current value as I_MPP(ii) a And then judging the grouping current condition.

2. The optimized layout method as claimed in claim 1, wherein the grouped voltages in step 4 are determined as follows:

firstly, the discrimination precision delta is set, and delta is more than or equal to 0 and less than or equal to 10 percent V_MPPAnd then sequentially judging:

if (I) r_iaIs greater than delta, and r_ibIf delta is less than delta, the first photovoltaic module in the ith group in the jth group string is considered to be in fault, and when V is greater than delta_ia∈[V_MPP-δ，V_MPP+δ]If not, the first photovoltaic module is in shading hot spot fault;

(II) if r_iaIs greater than delta, and r_ibIf delta is greater than delta, the second photovoltaic module in the ith group in the jth group string is considered to be in fault, and when V is greater than delta_iaOr V_ib∈[V_MPP-δ，V_MPP+δ]If the second photovoltaic module has a short-circuit fault, otherwise, the second photovoltaic module has a shading hot spot fault;

(III) if r_ia< delta, and r_ibIf delta is greater than delta, the third photovoltaic module in the ith group in the jth group string is considered to be in fault, and when V is greater than delta_ib∈[V_MPP-δ，V_MPP+δ]If the fault is not detected, the third photovoltaic module is in short circuit fault, otherwise, the third photovoltaic module is in shading hot spot fault;

(IV) if not, the photovoltaic modules in the ith group in the jth group string work normally, and the voltages of the three photovoltaic modules are 0.5V respectively_ia、0.5V_iaOr 0.5V_ib、0.5V_ib。

3. The optimized layout method of voltage and current sensors as claimed in claim 1, wherein said grouped current conditions in step 7 are determined as:

if I_X∈2I_MPPPlus or minus epsilon percent and the voltage sensor displays that the voltage of the X group is normal, the current I of the two branches in the X group_Xu≈I_Xv≈0.5I_XWhere ε represents the current error threshold and ε ∈ [5,10 ]]；

(II) if

(III) if

if I_X∈[-I_MPP×ε％,I_MPP×ε％]If the two strings are both open-circuit faults;

if I_X∈I_MPPIf the voltage is plus or minus epsilon%, then one or only one string in the X group is in open circuit fault;

otherwise, both group strings of the X group are shaded hot spot faults.

Technical Field

The invention relates to an optimized layout method of voltage and current sensors of a photovoltaic array and a real-time fault distinguishing technology, and belongs to the technical field of operation and maintenance monitoring of the photovoltaic array.

Background

Photovoltaic power generation is one of important means for solar energy utilization, rapid development is achieved in recent years, and real-time monitoring of a photovoltaic module is taken as a basic link of daily operation and maintenance of photovoltaic power generation, so that the method has important significance for ensuring stable operation of a photovoltaic system.

In engineering practice, part of photovoltaic modules forming a photovoltaic array may be affected by manufacturing process defects, improper storage and transportation and other factors, and when the photovoltaic modules operate in a severe outdoor environment for a period of time, phenomena such as surface cracks and air hole infiltration easily occur, so that part of crystals in the photovoltaic modules are damaged, and various structural faults are generated. In addition, the photovoltaic module in a good state can also be partially out of work due to shielding, so that the shielded part becomes a circuit load, consumes power and generates heat, and can be accompanied by hot spot damaged areas burned out due to local overheating, the packaging material of the photovoltaic module can be damaged by a serious hot spot phenomenon, and even the safety of the whole photovoltaic power station is influenced. In order to find abnormal conditions in the photovoltaic array in time and ensure high efficiency and safety of power station operation, the working state of the photovoltaic array must be monitored in real time, and the characteristic parameters capable of describing the working state most intuitively are the output voltage and current of the photovoltaic array, so that the installation of voltage and current sensors in the photovoltaic array and the possible fault judgment according to collected data are very necessary. In particular, the above-mentioned phenomena of aging, hot spots and the like may cause common faults including: short circuit failure, which is equivalent to a reduction in the number of components in the photovoltaic array, results in a reduction in the output current and a potential zero local voltage. And (II) an open circuit fault is equivalent to the disconnection of a certain branch, and the current output by the fault branch is zero at the moment. (III) hot spot failure, which is equivalent to part of the photovoltaic modules becoming loads, consumes the active power of the array, and the output current is reduced at the moment, but no zero voltage value can be generated before the photovoltaic modules are completely damaged and disconnected. And (IV) shading faults are equivalent to the initial expression stage of hot spot faults, and the current and the voltage output by the component at the moment are reduced.

For the above faults, the common monitoring means at present include a non-electrical signal acquisition and analysis method and an electrical signal acquisition and analysis method, including: the infrared image detection method comprises the following steps: the method mainly focuses on hot spot faults and omits a large number of U/I acquisition links, but has the defects of poor adaptability to open and short circuit faults, high price of the high-resolution infrared imager, poor tolerance to extreme meteorological conditions, high investment cost and difficult maintenance, and in addition, because infrared data is in an image form, the judgment accuracy of the infrared imager during computer analysis depends on an image recognition algorithm to a great extent, and the universality is poor. (II) high-frequency signal injection method: the Japanese scholars in the eighties of the last century propose that high-frequency signals are injected into a photovoltaic array, faults are diagnosed by comparing different characteristics of reflected waves of the high-frequency signals, short-circuit faults can be judged quickly, but hot spot faults are poor in distinguishing effect, and the high-frequency signal injection system is complex, low in operability and poor in instantaneity. (III) full sensor assay: namely, each photovoltaic module is additionally provided with a voltage, and the current sensor carries out numerical value acquisition. (iv) partial sensor assay: firstly, the arrangement of a photovoltaic array is modified, photovoltaic modules are connected in parallel and then connected in series to form a full-connection mode, voltage/current sensors are arranged in the array in a layered mode, data are collected and then gradually judged, and a suspicious region is reduced until a fault point is determined finally. The method reduces the number of sensors to a certain extent, changes the original arrangement mode of the photovoltaic modules, has certain limitation when being applied, can not accurately distinguish open-short circuit faults of the photovoltaic modules in the same layer, and needs to improve the accuracy. (V) capacitance to ground measurement: the method measures the capacitance value to ground of the series photovoltaic array, thereby judging the position of the open circuit and realizing the positioning of the hidden open circuit of the photovoltaic array. However, the method needs shutdown detection and field operation, cannot be monitored in real time, and is not high in practicability.

In conclusion, how to reliably and efficiently arrange the sensors, accurately judge the fault point in real time, improve the reliability of the monitoring system, and reduce the investment cost becomes a problem to be solved urgently.

Disclosure of Invention

The invention provides an optimal layout method of photovoltaic array voltage and current sensors with fault discrimination, aiming at overcoming the defects in the prior art, and aiming at completing monitoring of the operation state of the photovoltaic array and positioning and identifying of common faults by adjusting the layout mode of the sensors in the photovoltaic array, utilizing limited sensors to collect data and combining with circuit structural characteristics, reducing the number of the sensors and reducing the investment cost of a system under the condition of ensuring the monitoring precision.

In order to achieve the purpose, the invention adopts the following technical scheme:

the invention relates to an optimal layout method of a photovoltaic array voltage and current sensor with fault discrimination, which is characterized by comprising the following steps of:

step 1, supposing that the photovoltaic array comprises J parallel-connected group strings, wherein any J-th group string is a branch formed by connecting K photovoltaic modules in series; j ═ 1,2, …, J;

dividing K photovoltaic modules in the jth string into a group according to 'three continuous photovoltaic modules are in one group' to obtain

Group (d); the first two photovoltaic modules in any ith group are jointly provided with a voltage sensor a, and the last two photovoltaic modules in the group are jointly provided with a voltage sensor b, so that the data acquired by all the voltage sensors in the jth group string are obtained as follows:

wherein, V_ia,V_ibRepresenting the data collected by the voltage sensor a and the voltage sensor b in the ith group in the jth group string;

step 2, calculating the voltage mean value of the jth group string by using the formula (1)

Step 3, calculating the deviation r of the voltage sensor a in the ith group in the jth group by using the formula (2)_iaDeviation r from voltage sensor b_ib：

Step 4, deducing the maximum power point voltage V of the photovoltaic module according to the P-V characteristic curve of the photovoltaic module_MPPFor discriminating the voltage mean of the jth group string

Whether or not:

at V_MPPWithin the range of +/-delta%, if the voltage condition is met, directly judging the voltage condition of the component, and obtaining a judgment result of the voltage state; otherwise, 2 XV_MPPAs a regression mean and assigned to

Then returning to the step 3, after obtaining the deviation of the voltage sensor a and the deviation of the voltage sensor b in the updated ith group, executing grouping voltage condition judgment, wherein delta represents the set voltage error threshold value and belongs to the field of 5,15]；

Step 5, dividing the J parallel groups in the photovoltaic array into a group according to 'two continuous groups are divided into a group', so as to obtain

Group (d);

a current sensor is arranged on the first group string u and the second group string v in any X group, so that data acquired by all the current sensors are obtained

Wherein MI_XData collected for the Xth group of current sensors;

step 6, calculating the current I of the Xth group by using the formula (3)_X：

I_X＝MI_X-MI_X-1(3)

In the formula (3), when X is 1, MI is allowed to stand_X-1＝0；

Step 7, based on the maximum power point voltage V_MPPAnd real-time illumination intensity data S acquired by the illumination intensity collector, determining the output current value of the photovoltaic module which normally operates under the current irradiance S by combining the I-V characteristic curve of the photovoltaic module, and recording the output current value as I_MPP(ii) a And then judging the grouping current condition.

The optimized layout method of the present invention is also characterized in that the grouping voltage in the step 4 is determined as follows:

firstly, the discrimination precision delta is set, and delta is more than or equal to 0 and less than or equal to 10 percent V_MPPAnd then sequentially judging:

if (I) r_iaIs greater than delta, and r_ibIf delta is less than delta, the first photovoltaic module in the ith group in the jth group string is considered to be in fault, and when V is greater than delta_ia∈[V_MPP-δ，V_MPP+δ]If not, the first photovoltaic module is in shading hot spot fault;

(II) if r_iaIs greater than delta, and r_ibIf delta is greater, the jth group is consideredIn the string, the second photovoltaic module in the ith group fails and when V_iaOr V_ib∈[V_MPP-δ，V_MPP+δ]If the second photovoltaic module has a short-circuit fault, otherwise, the second photovoltaic module has a shading hot spot fault;

(III) if r_ia< delta, and r_ibIf delta is greater than delta, the third photovoltaic module in the ith group in the jth group string is considered to be in fault, and when V is greater than delta_ib∈[V_MPP-δ，V_MPP+δ]If the fault is not detected, the third photovoltaic module is in short circuit fault, otherwise, the third photovoltaic module is in shading hot spot fault;

(IV) if not, the photovoltaic modules in the ith group in the jth group string work normally, and the voltages of the three photovoltaic modules are 0.5V respectively_ia、0.5V_iaOr 0.5V_ib、0.5V_ib。

The packet current condition in the step 7 is judged as:

if I_X∈2I_MPPPlus or minus epsilon percent and the voltage sensor displays that the voltage of the X group is normal, the current I of the two branches in the X group_Xu≈I_Xv≈0.5I_XWhere ε represents the current error threshold and ε ∈ [5,10 ]]；

(II) if

And the voltage sensor displays the fault of the first group string u of the Xth group, the current I of the v branch in the Xth group is normal when the second group string v is normal_Xv＝I_MPPU branch current I_Xu＝I_X-I_MPPContinuing to judge I_Xu∈[-I_MPP×ε％,I_MPP×ε％]Whether the fault is established or not is judged, if so, the first group string u is an open circuit fault, otherwise, the first group string u is a shading hot spot fault;

(III) if

And the voltage sensor shows that two group strings of the Xth group have faults, then:

if I_X∈[-I_MPP×ε％,I_MPP×ε％]If the two strings are both open-circuit faults;

if I_X∈I_MPPIf the voltage is plus or minus epsilon%, then one or only one string in the X group is in open circuit fault;

otherwise, both group strings of the X group are shaded hot spot faults.

Compared with the prior art, the invention has the beneficial effects that:

1) aiming at the problem of monitoring the voltage and the current of the photovoltaic array with the series-parallel structure, the photovoltaic assembly is firstly arranged with the staggered voltage sensors, and then the assembly short circuit and shading hot spot fault identification is completed by matching with the grouping voltage state judgment process, so that the using quantity of the voltage sensors is reduced by 30 percent on the premise of ensuring the monitoring precision; secondly, the photovoltaic array is distributed with 'interval type' current sensors, branch circuit breaking and shading hot spot fault identification are completed by matching with a grouping current state judging process, on the premise that monitoring precision is guaranteed, the using quantity of the current sensors is reduced by 50%, the utilization efficiency of the u/i sensors is improved on the whole, the investment cost of a photovoltaic array monitoring system is reduced, and the photovoltaic array monitoring system has good economy.

2) The staggered voltage sensor arrangement and the spaced current sensor arrangement overcome the defect that the full sensor detection method uses too many sensor modules, simultaneously avoid the defects of poor data real-time performance and slow response of a monitoring system existing in an infrared monitoring method which completely abandons u/i sensors, and compared with the traditional partial sensor detection method, the method does not require to change the original photovoltaic array topological structure, thereby improving the real-time performance of the monitoring system and improving the applicable range of the arrangement method.

3) According to the invention, the voltage and current state discrimination process is grouped, fusion fault discrimination is carried out aiming at the series-parallel connection structural characteristics of the photovoltaic array and the acquired data characteristics of the staggered type and the interval type, the pertinence of data acquisition and the sufficiency of data utilization are improved, and the discrimination accuracy under limited data is ensured.

Drawings

FIG. 1 is a layout diagram of a voltage sensor in the present invention by the "interleaving method";

FIG. 2 is a graph showing P-V characteristics of a photovoltaic module;

FIG. 3 is a block diagram of a main flow of the packet voltage discrimination in the present invention;

FIG. 4 is a block diagram of a packet voltage discrimination subroutine of the present invention;

FIG. 5 is a layout diagram of a voltage and current sensor in the invention by an interval interleaving method;

FIG. 6 is a graph showing I-V characteristics of a photovoltaic module;

fig. 7 is a block diagram of a packet current discrimination flow in the present invention.

Detailed Description

For convenience of the following description, the present invention specifies the following four concepts: 1. scale index N: refers to the total number of photovoltaic modules covered by a measured area. N belongs to N₊In which N is₊Is a positive integer set. 2. Precision index F: the inverse number of the limit number of the suspicious fault photovoltaic module which can be determined after the parameters obtained by the current sensor are analyzed is obviously greater than 0 and less than or equal to 1, and the condition that F is 1 is an ideal condition and has the highest precision. 3. The consumption index S: refers to the number of sensors required to complete the monitoring of a system with a scale index N at a certain precision index F. S belongs to N₊In which N is₊Is a positive integer set. 4. Optimization index γ: after a system with a scale index of N is subjected to sensor layout with an accuracy index of F, if the consumption index is S, there is a relationship:

as can be seen from equation (1), the optimization index γ is positively correlated with the scale index N and the precision index F, and is negatively correlated with the consumption index S, and obviously, γ of the conventional one-to-one layout method is 1, and γ values of other methods can intuitively characterize the efficiency of the layout method relative to the conventional method.

In this embodiment, a photovoltaic array voltage and current sensor optimized layout method including fault discrimination includes the following steps:

step 1, assuming that the photovoltaic array comprises 6 parallel group strings, and any jth group string isThe branch is formed by connecting 6 photovoltaic modules in series; j ═ 1,2, …, J; fig. 1 depicts the basic series structure of the first group of strings of the photovoltaic array, and it can be seen that, for the terminal voltage of the photovoltaic module to be measured, if a traditional "full sensor detection" arrangement mode is used, an accurate index F is required to be 1, and voltage parameters of each photovoltaic module are independent from each other, then an consumption index S must be equal to a scale index N, that is, γ is 1, in order to improve an optimization index γ, the present invention divides K in the j-1 group string into 6 photovoltaic modules according to "three consecutive photovoltaic modules are in one group" to obtain 2 groups; two preceding photovoltaic modules in arbitrary ith group lay a voltage sensor a jointly, and two last photovoltaic modules in the group lay a voltage sensor b jointly again, accomplish "staggered" voltage sensor and lay, and the effect is as shown in fig. 1 to it is that to obtain the data that all voltage sensors gathered in 1 group string for jth: v_1a＝33.7V,V_1b＝67.2V；V_2a＝66.9V,V_2b65.8V, wherein V_ia,V_ibData collected by the voltage sensor a and the voltage sensor b of the ith group in the 1 group string is represented; i is 1, 2.

Step 2, in order to obtain a first reference value for photovoltaic module voltage discrimination, calculating a voltage average value of the (j) th-1 th group string by using the formula (2)

Wherein K is 3, V_1a＝33.7V,V_1b＝67.2V,V_2a＝66.9V,V_2bThe calculation was substituted into 65.8V to obtain

Step 3, collecting parameter mean value by using sensor

For reference, the j-th to 1-th group string is calculated using equation (3)Deviation r of voltage sensor a in group i_iaDeviation r from voltage sensor b_ib，i＝1,2：

Substitution data is calculated to obtain: r is_1a＝24.7V,r_1b＝8.8V,r_2a＝8.5V,r_2bThe deviation of each measured component from the normal operating point can be initially evaluated as 7.4V:

step 4, becauseFor the jth 1 group sensor acquisition parameter arithmetic mean value on the cluster, when more short circuits and shading faults exist at the same moment, the potential zero voltage and a large amount of voltage small reduction effect accumulation can cause the mean value to generate larger deviation relative to a normal working point value, the misjudgment is easily caused by direct use, and therefore the normal operation parameter of the photovoltaic module is taken as a supplementary reference: according to the P-V characteristic curve of the photovoltaic module shown in fig. 2, it can be seen that the voltage fluctuation range of the terminal of the normally running photovoltaic substring is not large due to the existence of the photovoltaic MPPT system, and accordingly, the maximum power point voltage V of the photovoltaic substring can be deduced_MPP33V, for discriminating the voltage average value of the 1 st group stringWhether or not:

at V_MPPIn the range of + -delta%, where delta represents the set voltage error threshold and delta e [5,15 ∈](ii) a In this embodiment, Δ is taken to be 10; if yes, directly executing module voltage condition judgment and obtaining a judgment result of the voltage state; otherwise, the 2 × VMPP is taken as the regression mean and assigned to

Then returning to the step 3, obtaining the deviation of the voltage sensor a in the ith group after updating and the voltage sensorb, then, the packet voltage status is determined, and the determination flow belongs to the main flow of the packet voltage determination as shown in fig. 3. Since here

The sample deviation is large, and the precondition requirement of direct discrimination is not satisfied, so 2 xV is adopted_MPP66V as the regression mean, assigned toThen, returning to step 3, the updated deviation of the voltage sensor a and the updated deviation of the voltage sensor b in the j-th-1 group are obtained as follows: r is_1a＝32.3V,r_1b＝1.2V,r_2a＝0.9V,r_2bJudging the voltage condition of the component again when the voltage is 0.2V; the component voltage in the step 4 is determined as follows:

firstly, the discrimination precision delta is set, and delta is more than or equal to 0 and less than or equal to 10 percent V_MPPAnd then sequentially judging:

if (I) r_iaIs greater than delta, and r_ibIf delta is less than delta, the first photovoltaic module in the ith group in the jth group string is considered to be in fault, and when V is greater than delta_ia∈[V_MPP-δ，V_MPP+δ]If not, the first photovoltaic module is in shading hot spot fault;

(II) if r_iaIs greater than delta, and r_ibIf delta is greater than delta, the second photovoltaic module in the ith group in the jth group string is considered to be in fault, and when V is greater than delta_iaOr V_ib∈[V_MPP-δ，V_MPP+δ]If the second photovoltaic module has a short-circuit fault, otherwise, the second photovoltaic module has a shading hot spot fault;

(III) if r_ia< delta, and r_ibIf delta is greater than delta, the third photovoltaic module in the ith group in the jth group string is considered to be in fault, and when V is greater than delta_ib∈[V_MPP-δ，V_MPP+δ]If the fault is not detected, the third photovoltaic module is in short circuit fault, otherwise, the third photovoltaic module is in shading hot spot fault;

(IV) if not, the photovoltaic modules in the ith group in the jth group string work normally, and the voltage of the three photovoltaic modules is divided into threeIs 0.5V respectively_ia、0.5V_iaOr 0.5V_ib、0.5V_ib。

The above-mentioned determination flow belongs to the sub-flow part of the packet voltage determination as shown in fig. 4. In the present embodiment, the determination accuracy δ is set to 10% V_MPPAnd 3V, and then sequentially judging: due to r_1aIs greater than delta, and r_1bDelta is less than the above judgment condition (I), and the first photovoltaic module in the 1 st group string is considered to be in fault, and V_1a＝32.3V∈[V_MPP-δ，V_MPP+δ]＝[30V,36V]The first photovoltaic module is indicated as short-circuit fault, and the voltages of the second and third photovoltaic modules without fault are known to be V in sequence_1a，V_1b-V_1aThe substitution data was calculated as 32.3V and 34.9V. And a second group r_2a< delta, and r_2bDelta is less than the above judgment condition (IV), which indicates that the photovoltaic modules in the 2 nd group in the 1 st group string work normally, and the voltages of the three photovoltaic modules are 0.5V respectively_1a、0.5V_1a、0.5V_1bThe substitution was calculated to be 33.4V, 33.2V, 33.0V.

So far, the data acquisition and the voltage fault analysis of the first group of strings of the photovoltaic array have been completed, and the analysis steps of the remaining 5 groups of strings are the same, which is not repeated, and the judgment conclusion given for the remaining 5 branches is that: all normal, second block subassembly short circuit fault, fourth board hides the hot spot trouble to supply that follow-up grouping current state differentiates the flow to use.

Step 5, further solving the problems of large-scale photovoltaic array current monitoring and open circuit fault identification in practical engineering on the basis of the previous three steps, and still using the staggered method for monitoring the voltage of each row of series structures; arranging current sensors at intervals for monitoring the current of each path of parallel structure, dividing the photovoltaic array into 6 parallel group strings according to 'two continuous group strings are a group' to obtain 3 groups;

a current sensor is arranged on the first group string u and the second group string v in any X group together to complete the 'interval type' arrangement of the current sensors, the effect is shown in figure 5, and the obtained current sensorsData MI collected by current sensor₁、MI₂、MI₃Sequentially comprises the following steps: 15.6A, 31.2A, 31.2A, wherein MI_XData collected for the Xth group of current sensors; x is 1,2, 3;

step 6, calculating the current I of the X group by using the formula (4)_X：

I_X＝MI_X-MI_X-1(4)

In the formula (4), when X is 1, MI is allowed to stand_X-10; substituting data to calculate to obtain I₁＝15.6A,I₂＝16.5A,I₃＝0A。

Step 7, based on the maximum power point voltage V_MPPAnd real-time illumination intensity data S acquired by the illumination intensity collector, because the photovoltaic array is under standard conditions, i.e. the irradiance S is 1000W/m²Determining the output current value of the photovoltaic module which normally operates under the current irradiance S to be 8.3A by combining the photovoltaic module I-V characteristic curve shown in FIG. 6, and marking as I_MPP(ii) a And then judging the current condition of the photovoltaic array.

Judging the current condition of the photovoltaic array in the step 7 as follows:

if I_X∈2I_MPPPlus or minus epsilon percent and the voltage sensor displays that the voltage of the X group is normal, the current I of the two branches in the X group_Xu≈I_Xv≈0.5I_XWhere ε represents the current error threshold and ε ∈ [5,10 ]]；

(II) ifAnd the voltage sensor displays the fault of the first group string u of the Xth group, the current I of the v branch in the Xth group is normal when the second group string v is normal_Xv＝I_MPPU branch current I_Xu＝I_X-I_MPPContinuing to judge I_Xu∈[-I_MPP×ε％,I_MPP×ε％]Whether the fault is established or not is judged, if so, the first group string u is an open circuit fault, otherwise, the first group string u is a shading hot spot fault;

(III) ifAnd the voltage sensor shows that two group strings of the Xth group have faults, then:

if I_X∈[-I_MPP×ε％,I_MPP×ε％]If the two strings are both open-circuit faults;

if I_X∈I_MPPIf the voltage is plus or minus epsilon%, then one or only one string in the X group is in open circuit fault;

otherwise, both group strings of the X group are shaded hot spot faults.

The above-described discrimination flow belongs to the section of the grouping current discrimination flow, as shown in fig. 7.

In this embodiment, the current error threshold e is set to 5 because

And the voltage sensor displays that the 1 st group of the first group of strings u has a short-circuit fault, the second group of strings v is normal and belongs to the judgment condition (II), and then the 1 st group of the v branch current I_1v＝I_MPP8.3A, it is stated that the v branch also has no open-circuit fault, while the u branch has a current I_1u＝I₁-I_MPPWhen 7.3A is reached, the judgment is continued: i is_1u∈[-I_MPP×5％,I_MPP×5％]If true, substituting I_1uCan be known as 7.3AIf the discriminant is not satisfied, the first group string u is a shading hot spot fault;

on the other hand, due to I₂＝15.6A∈2I_MPP±5％＝[15.78A,17.43A]And the voltage sensor displays that the group 2 voltage is normal and belongs to the judgment condition (I), the current I of the two branches in the group 2_2u≈I_2v≈0.5I₂No failure occurred in both branches, 8.3A.

Finally, due to

And the voltage sensor displays that the two group strings of the 3 rd group have faults and belong to the judgment condition (III), thenFurther discrimination: i is₃∈[-I_MPP×5％,I_MPP×5％]If true, substituting I₃0A means 0A ∈ [ -0.42A,0.42A]If the discriminant is true, the third group is judged that the two group strings are both open-circuit faults;

it should be further noted that, in the above determination methods, under the condition that the precision index F is equal to 1, if a method for reasonably reducing the precision index is combined, the optimization index γ is calculated respectively, and the following table is provided:

TABLE 1 exponential characteristic quantities for "staggered" arrangement of voltage sensors in a series configuration

Note:

(1) the general formula of S is:

S＝2NF/3 (5)

s is required to be an integer.

(2) Here, S cannot be calculated from the general formula, and when the accuracy required by 30 photovoltaic modules is F ═ 3, 10 photovoltaic measurement groups are obtained, 9 of the groups are selected and used in the "interval interleaving" method, 6 voltage sensors are required to be used, and the rest is used independently for 1 voltage sensor, and 7 sensors are used in total.

(3) Here, S cannot be calculated from the general formula, and the 20 photovoltaic measurement groups are obtained when the required accuracy of 60 photovoltaic modules is F ═ 3, and the method of co-injection (2) can be used here, but there is a large waste of equipment, and considering that 1 group of photovoltaic modules is added, the "interval interleaving" method is used for 21 photovoltaic measurement groups, and 14 sensors are counted.

As can be seen from table 1, compared with the conventional arrangement method γ being 1, the "staggered" arrangement method of the voltage sensors in the present invention increases the γ value, which increases the utilization efficiency of the sensors to a certain extent, and compared with the conventional one-to-one arrangement method, the present invention can save more than 30% of the number of sensors, and can reduce more than 60% of the number of voltage sensors if the accuracy is reasonably reduced; the interval arrangement rule reduces the use number of the current sensors by 50 percent; in conclusion, the method has better reliability and economic applicability.