Optimization control method and system for multiple photovoltaic access transformer areas

Abstract

The invention provides an optimal control method for a plurality of photovoltaic access areas, which comprises the following steps of: dividing a plurality of photovoltaic power generation systems accessed into the areas into a series group and a parallel group; obtaining a voltage value and a power demand value of the transformer area, the serial connection number of a first serial connection group, the serial connection number of a second serial connection group, the serial connection number of a third serial connection group, the parallel connection number of a first parallel connection group, the parallel connection number of a second parallel connection group, the parallel connection number of a third parallel connection group, a grid-connected voltage and the voltage fluctuation amplitude of the transformer area; carrying out standardization or normalization processing to obtain a plurality of data points, carrying out clustering to find out a cluster with the minimum transformer area voltage fluctuation amplitude under the current power demand value and the transformer area voltage value, and extracting an average value or a median of data from the cluster as a data value corresponding to the minimum transformer area voltage fluctuation amplitude; and carrying out optimization control on the multiple photovoltaic access transformer areas. According to the invention, the influence of multiple photovoltaic access areas can be reduced as much as possible.

Description

Technical Field

[0001] The present invention relates to the technical field of optimization of multiple photovoltaic access stations, and in particular to an optimization control method and system for multiple photovoltaic access stations. Background Art

[0002] Substation: Also called "substation area", it is a concept in the distribution network. Usually there is a transformer, which is connected to 10 kV at the top and 380 volts at the bottom. Most substations are also equipped with a distribution box. Then the so-called substation range is formed from the voltage below 10 kV, including the transformer, to the line fed from the distribution box.

[0003] Multi-PV access: refers to the situation where there are multiple PV power generation systems connected to the grid within the area. These PV power generation systems may be single-point unified PV systems (such as large-capacity PV power stations) or multi-point distributed PV systems (such as PV power systems used in households).

[0004] Impact of multiple photovoltaic access areas:

[0005] Power quality: Multiple photovoltaic access may lead to power quality problems such as three-phase imbalance, voltage fluctuation and flicker. The randomness and volatility of photovoltaic power sources cause changes in the power flow and voltage distribution of the power grid, thus affecting the power quality.

[0006] Islanding effect: When a photovoltaic power generation system is disconnected from the grid under certain circumstances but continues to supply power to the load, an islanding effect is formed, which may pose a threat to the safe and stable operation of the grid and the personal safety of maintenance personnel.

[0007] Grid dispatching: Multiple photovoltaic access makes grid dispatching more complicated. The output power of photovoltaic power generation systems is affected by factors such as weather and light, and is uncertain and volatile, which brings challenges to grid dispatching. Summary of the invention

[0008] The present invention provides an optimization control method and system for multiple photovoltaic access stations, so as to minimize the impact of multiple photovoltaic access stations.

[0009] This specification discloses an optimization control method for multiple photovoltaic access stations, including:

[0010] Divide the multiple photovoltaic power generation systems connected to the substation into series groups and parallel groups, each of which has at least three series groups and three parallel groups, and the number of series or parallel photovoltaic power generation systems in each group is different;

[0011] Obtaining the voltage value and power demand value of the substation, the series number of the first series group, the series number of the second series group, the series number of the third series group, the parallel number of the first parallel group, the parallel number of the second parallel group, the parallel number of the second parallel group, the parallel number of the third parallel group, the grid-connected voltage of the substation after multiple photovoltaic power generation systems are connected in series and parallel, and the voltage fluctuation amplitude of the substation after multiple photovoltaic power generation systems connected in series and parallel are connected to the substation, and performing standardization or normalization processing to obtain multiple data points;

[0012] Randomly select K data points as the initial cluster centers, K = 1, 2, ... n; n is the total number of data points;

[0013] Calculate the distance from each data point to all cluster centers, and assign the data point to the cluster with the closest cluster center. Recalculate the location of the cluster center based on the data points in the cluster, and repeat this step until the location of the cluster center no longer changes or reaches the preset number of iterations to obtain the clustering result.

[0014] Analyze the clustering results, find the cluster with the smallest voltage fluctuation amplitude under the current power demand value and the voltage value of the substation, and extract the average value or median of the data in the cluster as the data value corresponding to the minimum voltage fluctuation amplitude of the substation;

[0015] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0016] In this specification, the K value is determined using the elbow method and / or the silhouette coefficient method and / or the gap statistics method and / or the Calinski-Harabasz index method.

[0017] In this specification, the voltage value of the substation is used as a row vector, and the K value is used as a column vector to form a matrix, and then the voltage fluctuation amplitude of the substation is introduced to perform surface fitting to obtain a first fitting surface;

[0018] The power demand value is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the second fitting surface;

[0019] The total number of photovoltaic power generation systems in series is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the third fitting surface;

[0020] The total number of photovoltaic power generation systems in parallel is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the fourth fitting surface;

[0021] Based on the first fitting surface, a first K value corresponding to the current transformer area voltage value and the minimum transformer area voltage fluctuation amplitude is obtained;

[0022] Based on the second fitting surface, a second K value corresponding to the current power demand value and the minimum value of the voltage fluctuation amplitude in the substation area is obtained;

[0023] Based on the third fitting surface, the total number of first series connections and the third K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained;

[0024] Based on the fourth fitting surface, the first total number of parallel connections and the fourth K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained;

[0025] The mean value among the first K value, the second K value, the third K value and the fourth K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, the cluster with the smallest voltage fluctuation amplitude of the substation corresponding to the first total number of series connections and the first total number of parallel connections under the current power demand value and substation voltage value is found, and the mean value or median of the data is extracted from the cluster as the data value corresponding to the minimum voltage fluctuation amplitude of the substation;

[0026] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0027] In this specification, the number of series connections of the first series connection group is used as a row vector, and the K value is used as a column vector to form a matrix, and then the voltage fluctuation amplitude of the substation is introduced to perform surface fitting to obtain a fifth fitting surface;

[0028] Based on the fifth fitting surface, the number of series connection of the first series connection group and the fifth K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation area are obtained;

[0029] The mean value among the first K value, the second K value, the third K value, the fourth K value and the fifth K value is taken as the optimal K value for clustering, and after clustering, based on the clustering results, the cluster with the smallest voltage fluctuation amplitude in the substation area corresponding to the first total number of series connections and the first total number of parallel connections under the current power demand value and the substation area voltage value is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum voltage fluctuation amplitude in the substation area; wherein the average value between the number of series connections of the first series group corresponding to the minimum value of the voltage fluctuation amplitude in the substation area and the average value or median of the number of series connections of the extracted first series group is taken as the number of series connections of the first series group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0030] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0031] In this specification, the number of series connections of the second series connection group is used as a row vector, and the K value is used as a column vector to form a matrix, and then the voltage fluctuation amplitude of the substation is introduced to perform surface fitting to obtain a sixth fitting surface;

[0032] Based on the sixth fitting surface, the number of series connection of the second series connection group and the sixth K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation area are obtained;

[0033] The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value and the sixth K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude;

[0034] The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0035] The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0036] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0037] In this specification, the number of series connections of the third series connection group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the seventh fitting surface;

[0038] Based on the seventh fitting surface, the number of series connection of the third series connection group and the seventh K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation area are obtained;

[0039] The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value and the seventh K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude;

[0040] The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0041] The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0042] The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0043] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0044] In this specification, the number of parallel connections of the first parallel connection group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area, and a surface fitting is performed to obtain an eighth fitting surface;

[0045] Based on the eighth fitting surface, the parallel quantity of the first parallel group and the eighth K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation are obtained;

[0046] The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value, the seventh K value and the eighth K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude;

[0047] The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0048] The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0049] The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0050] The mean between the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation and the average value or median of the number of parallel connections of the first parallel connection group extracted is used as the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation;

[0051] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0052] In this specification, the parallel number of the second parallel group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain a ninth fitting surface;

[0053] Based on the ninth fitting surface, the parallel quantity of the second parallel group and the ninth K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained;

[0054] The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value, the seventh K value, the eighth K value and the ninth K value is taken as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude;

[0055] The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0056] The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0057] The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0058] The mean between the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation and the average value or median of the number of parallel connections of the first parallel connection group extracted is used as the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation;

[0059] The mean between the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area and the average value or median of the number of parallel connections of the extracted second parallel connection groups is used as the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area;

[0060] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0061] In this specification, the parallel number of the third parallel group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area, and a surface fitting is performed to obtain the tenth fitting surface;

[0062] Based on the tenth fitting surface, the parallel quantity of the third parallel group and the tenth K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained;

[0063] The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value, the seventh K value, the eighth K value, the ninth K value and the tenth K value is taken as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude;

[0064] The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0065] The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0066] The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0067] The mean between the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation and the average value or median of the number of parallel connections of the first parallel connection group extracted is used as the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation;

[0068] The mean between the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area and the average value or median of the number of parallel connections of the extracted second parallel connection groups is used as the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area;

[0069] The mean between the number of parallel connections of the third parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation area and the average value or median of the number of parallel connections of the third parallel connection group extracted is used as the number of parallel connections of the third parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation area;

[0070] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0071] This specification also discloses an optimization control system for multiple photovoltaic access stations, which is used to implement the optimization control method for multiple photovoltaic access stations described above. The optimization control system for multiple photovoltaic access stations includes:

[0072] A division module is used to divide the multiple photovoltaic power generation systems connected to the substation into series groups and parallel groups, each of which has at least 3 series groups and parallel groups, and the number of series or parallel photovoltaic power generation systems in each group is different;

[0073] A data acquisition module is used to acquire the voltage value and power demand value of the substation, the series number of the first series group, the series number of the second series group, the series number of the third series group, the parallel number of the first parallel group, the parallel number of the second parallel group, the parallel number of the second parallel group, the parallel number of the third parallel group, the grid-connected voltage of multiple photovoltaic power generation systems connected in series and parallel to the substation, and the voltage fluctuation amplitude of the substation after multiple photovoltaic power generation systems connected in series and parallel are connected to the substation, and perform standardization or normalization processing to obtain multiple data points;

[0074] Clustering module for:

[0075] Randomly select K data points as the initial cluster centers, K = 1, 2, ... n; n is the total number of data points;

[0076] Calculate the distance from each data point to all cluster centers, and assign the data point to the cluster with the closest cluster center. Recalculate the location of the cluster center based on the data points in the cluster, and repeat this step until the location of the cluster center no longer changes or reaches the preset number of iterations to obtain the clustering result.

[0077] The analysis module is used to analyze the clustering results, find out the cluster with the smallest voltage fluctuation amplitude under the current power demand value and the voltage value of the substation, and extract the average value or median of the data in the cluster as the data value corresponding to the minimum voltage fluctuation amplitude of the substation;

[0078] The optimization control module is used to optimize the control of multiple photovoltaic access areas based on the data value corresponding to the minimum area voltage fluctuation amplitude, so as to minimize the area voltage fluctuation amplitude.

[0079] The embodiments of this specification can at least achieve the following beneficial effects:

[0080] By dividing multiple photovoltaic power generation systems connected to the substation into series groups and parallel groups, the substation voltage value and power demand value, the series number of the first series group, the series number of the second series group, the series number of the third series group, the parallel number of the first parallel group, the parallel number of the second parallel group, the parallel number of the second parallel group, the parallel number of the third parallel group, the grid-connected voltage of the multiple photovoltaic power generation systems connected in series and parallel to the substation, and the substation voltage fluctuation amplitude after the multiple series-parallel photovoltaic power generation systems are connected to the substation are obtained, and standardized or normalized processing is performed to obtain multiple data points, clustering is performed to find the cluster with the smallest substation voltage fluctuation amplitude under the current power demand value and substation voltage value, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude; based on the data value corresponding to the minimum substation voltage fluctuation amplitude, optimization control of multiple photovoltaic access substations is performed to minimize the substation voltage fluctuation amplitude. The present invention can take the minimum voltage fluctuation amplitude of the substation as the goal, divide the series and parallel connections, perform clustering, find the data value corresponding to the minimum voltage fluctuation amplitude of the substation, and optimize the control of the multi-photovoltaic access substation based on this, so that after the multi-photovoltaic access substation, the voltage fluctuation amplitude of the substation can be minimized, that is, the impact of the multi-photovoltaic access substation can be minimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0082] Figure 1 It is a schematic diagram of the optimization control method of multiple photovoltaic access areas involved in the present invention. DETAILED DESCRIPTION

[0083] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the embodiments of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0084] The disclosure below provides many different embodiments or examples to implement different structures of the embodiments of the present invention. In order to simplify the disclosure of the embodiments of the present invention, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the embodiments of the present invention. In addition, the embodiments of the present invention can repeat reference numbers and / or reference letters in different examples, and this repetition is for the purpose of simplification and clarity, which itself does not indicate the relationship between the various embodiments and / or settings discussed.

[0085] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0086] like Figure 1 As shown, this specification discloses an optimization control method for multiple photovoltaic access stations, including:

[0087] The multiple photovoltaic power generation systems connected to the substation are divided into series groups and parallel groups. There are at least 3 series groups and parallel groups, and the number of series or parallel photovoltaic power generation systems in each group is not equal; (that is, the number of each group in the series group is not equal, and the number of each group in the parallel group is not equal;)

[0088] Obtaining the voltage value and power demand value of the substation, the series number of the first series group, the series number of the second series group, the series number of the third series group, the parallel number of the first parallel group, the parallel number of the second parallel group, the parallel number of the second parallel group, the parallel number of the third parallel group, the grid-connected voltage of the substation after multiple photovoltaic power generation systems are connected in series and parallel, and the voltage fluctuation amplitude of the substation after multiple photovoltaic power generation systems connected in series and parallel are connected to the substation, and performing standardization or normalization processing to obtain multiple data points;

[0089] Randomly select K data points as the initial cluster centers, K = 1, 2, ... n; n is the total number of data points;

[0090] Calculate the distance from each data point to all cluster centers, and assign the data point to the cluster with the closest cluster center. Recalculate the location of the cluster center based on the data points in the cluster, and repeat this step until the location of the cluster center no longer changes or reaches the preset number of iterations to obtain the clustering result.

[0091] Analyze the clustering results, find the cluster with the smallest voltage fluctuation amplitude under the current power demand value and the voltage value of the substation, and extract the average or median of the data in the cluster as the data value corresponding to the smallest voltage fluctuation amplitude of the substation; (these data include the series number of the first series group, the series number of the second series group, the series number of the third series group, the parallel number of the first parallel group, the parallel number of the second parallel group, the parallel number of the second parallel group, the parallel number of the third parallel group, the grid-connected voltage of multiple photovoltaic power generation systems connected to the substation after series and parallel connection, etc.)

[0092] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0093] In some embodiments, the K value is determined using the elbow method and / or the silhouette coefficient method and / or the gap statistics method and / or the Cal inski-Harabasz index method. When multiple methods are used to determine the K value, the average value is taken as the optimal K value; when combined with the first to tenth K values ​​described below, the average value is also taken as the optimal K value.

[0094] In some embodiments, the station voltage value is used as a row vector, and the K value is used as a column vector to form a matrix, and then the station voltage fluctuation amplitude is introduced to perform surface fitting to obtain a first fitting surface;

[0095] The power demand value is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the second fitting surface;

[0096] The total number of photovoltaic power generation systems in series is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the third fitting surface;

[0097] The total number of photovoltaic power generation systems in parallel is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the fourth fitting surface;

[0098] Based on the first fitting surface, a first K value corresponding to the current transformer area voltage value and the minimum transformer area voltage fluctuation amplitude is obtained;

[0099] Based on the second fitting surface, a second K value corresponding to the current power demand value and the minimum value of the voltage fluctuation amplitude in the substation area is obtained;

[0100] Based on the third fitting surface, the total number of first series connections and the third K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained;

[0101] Based on the fourth fitting surface, the first total number of parallel connections and the fourth K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained;

[0102] The mean value among the first K value, the second K value, the third K value and the fourth K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, the cluster with the smallest voltage fluctuation amplitude of the substation corresponding to the first total number of series connections and the first total number of parallel connections under the current power demand value and substation voltage value is found, and the mean value or median of the data is extracted from the cluster as the data value corresponding to the minimum voltage fluctuation amplitude of the substation;

[0103] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0104] In some embodiments, the number of series connections of the first series connection group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area, and a surface fitting is performed to obtain a fifth fitting surface;

[0105] Based on the fifth fitting surface, the number of series connection of the first series connection group and the fifth K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation area are obtained;

[0106] The mean value among the first K value, the second K value, the third K value, the fourth K value and the fifth K value is taken as the optimal K value for clustering, and after clustering, based on the clustering results, the cluster with the smallest voltage fluctuation amplitude in the substation area corresponding to the first total number of series connections and the first total number of parallel connections under the current power demand value and the substation area voltage value is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum voltage fluctuation amplitude in the substation area; wherein the average value between the number of series connections of the first series group corresponding to the minimum value of the voltage fluctuation amplitude in the substation area and the average value or median of the number of series connections of the extracted first series group is taken as the number of series connections of the first series group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0107] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0108] In some embodiments, the number of series connections of the second series connection group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area, and a surface fitting is performed to obtain a sixth fitting surface;

[0109] Based on the sixth fitting surface, the number of series connection of the second series connection group and the sixth K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation area are obtained;

[0110] The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value and the sixth K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude;

[0111] The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0112] The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0113] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0114] In some embodiments, the number of series connections of the third series connection group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area, and a surface fitting is performed to obtain a seventh fitting surface;

[0115] Based on the seventh fitting surface, the number of series connection of the third series connection group and the seventh K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation area are obtained;

[0116] The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value and the seventh K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude;

[0117] The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0118] The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0119] The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0120] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0121] In some embodiments, the parallel number of the first parallel group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the station area, and a surface fitting is performed to obtain an eighth fitting surface;

[0122] Based on the eighth fitting surface, the parallel quantity of the first parallel group and the eighth K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation are obtained;

[0123] The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value, the seventh K value and the eighth K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude;

[0124] The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0125] The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0126] The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0127] The mean between the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation and the average value or median of the number of parallel connections of the first parallel connection group extracted is used as the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation;

[0128] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0129] In some embodiments, the parallel number of the second parallel group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area, and a surface fitting is performed to obtain a ninth fitting surface;

[0130] Based on the ninth fitting surface, the parallel quantity of the second parallel group and the ninth K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained;

[0131] The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value, the seventh K value, the eighth K value and the ninth K value is taken as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude;

[0132] The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0133] The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0134] The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0135] The mean between the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation and the average value or median of the number of parallel connections of the first parallel connection group extracted is used as the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation;

[0136] The mean between the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area and the average value or median of the number of parallel connections of the extracted second parallel connection groups is used as the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area;

[0137] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0138] In some embodiments, the parallel number of the third parallel group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the station area, and a surface fitting is performed to obtain a tenth fitting surface;

[0139] Based on the tenth fitting surface, the parallel quantity of the third parallel group and the tenth K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained;

[0140] The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value, the seventh K value, the eighth K value, the ninth K value and the tenth K value is taken as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude;

[0141] The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0142] The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0143] The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area;

[0144] The mean between the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation and the average value or median of the number of parallel connections of the first parallel connection group extracted is used as the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation;

[0145] The mean between the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area and the average value or median of the number of parallel connections of the extracted second parallel connection groups is used as the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area;

[0146] The mean between the number of parallel connections of the third parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation area and the average value or median of the number of parallel connections of the third parallel connection group extracted is used as the number of parallel connections of the third parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation area;

[0147] Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

[0148] It should be understood that the above surface fitting operation can use existing software tools, such as the Curve Fitting tool in Matlab. The above modules can be existing data detection / measurement devices / sensors or data reading modules of multiple photovoltaic access stations, which can directly obtain data in multiple photovoltaic access stations.

[0149] It is clear that by obtaining data of multiple photovoltaic access areas in advance through existing equipment, a large amount of test data can be obtained. These test data can be simulation experiment data in the laboratory or actual measurement or operation data of multiple photovoltaic access areas in practice.

[0150] In the embodiments of this specification, an optimization control system for multiple photovoltaic access stations is also disclosed, which is used to implement the optimization control method for multiple photovoltaic access stations described above. The optimization control system for multiple photovoltaic access stations includes:

[0151] A division module is used to divide the multiple photovoltaic power generation systems connected to the substation into series groups and parallel groups, each of which has at least 3 series groups and parallel groups, and the number of series or parallel photovoltaic power generation systems in each group is different;

[0152] A data acquisition module is used to acquire the voltage value and power demand value of the substation, the series number of the first series group, the series number of the second series group, the series number of the third series group, the parallel number of the first parallel group, the parallel number of the second parallel group, the parallel number of the second parallel group, the parallel number of the third parallel group, the grid-connected voltage of multiple photovoltaic power generation systems connected in series and parallel to the substation, and the voltage fluctuation amplitude of the substation after multiple photovoltaic power generation systems connected in series and parallel are connected to the substation, and perform standardization or normalization processing to obtain multiple data points;

[0153] Clustering module for:

[0154] Randomly select K data points as the initial cluster centers, K = 1, 2, ... n; n is the total number of data points;

[0155] Calculate the distance from each data point to all cluster centers, and assign the data point to the cluster with the closest cluster center. Recalculate the location of the cluster center based on the data points in the cluster, and repeat this step until the location of the cluster center no longer changes or reaches the preset number of iterations to obtain the clustering result.

[0156] The analysis module is used to analyze the clustering results, find out the cluster with the smallest voltage fluctuation amplitude under the current power demand value and the voltage value of the substation, and extract the average value or median of the data in the cluster as the data value corresponding to the minimum voltage fluctuation amplitude of the substation;

[0157] The optimization control module is used to optimize the control of multiple photovoltaic access areas based on the data value corresponding to the minimum area voltage fluctuation amplitude, so as to minimize the area voltage fluctuation amplitude.

[0158] When implementing the methods of the above embodiments, it is only necessary to add corresponding functional modules.

[0159] The above-described embodiments are used to illustrate the present invention, not to limit the present invention, so changes in the exemplified values ​​or replacement of equivalent elements should still fall within the scope of the present invention.

[0160] From the above detailed description, it can be understood by those skilled in the art that the present invention can indeed achieve the aforementioned objectives and is in compliance with the provisions of the Patent Law.

[0161] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they are aware of the basic creative concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention. The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. It should be pointed out that any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0162] It should be noted that the above description of the relevant process is only for example and explanation, and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to the process under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.

[0163] The basic concepts have been described above. Obviously, for those of ordinary skill in the art who have read this application, the above invention disclosure is only for example and does not constitute a limitation of this application. Although not explicitly stated here, those of ordinary skill in the art may make various modifications, improvements and amendments to this application. Such modifications, improvements and amendments are suggested in this application, so such modifications, improvements and amendments still belong to the spirit and scope of the exemplary embodiments of this application.

[0164] At the same time, the present application uses specific words to describe the embodiments of the present application. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of the present application. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, some features, structures or characteristics in one or more embodiments of the present application can be appropriately combined.

[0165] In addition, it will be appreciated by those skilled in the art that various aspects of the present application may be illustrated and described by a number of patentable categories or situations, including any new and useful combination of processes, machines, products or substances, or any new and useful improvements thereto. Therefore, various aspects of the present application may be implemented entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may all be referred to as "units", "modules" or "systems". In addition, various aspects of the present application may take the form of a computer program product embodied in one or more computer-readable media, wherein computer-readable program code is contained therein.

[0166] The computer program code required for the operation of each part of the application can be written in any one or more programming languages, including object-oriented programming languages ​​such as Java, Scale, Smalltalk, Elffell, JADE, Emerald, C++, C#, VB.NET, Python, etc., such as C programming language, Visual Basic, Fortran2103, Perl, COBOL2102, PHP, ABAP, such as Python, Ruby and Groovy dynamic programming language or other programming languages. The program code can be run completely on the user's computer, or run on the user's computer as an independent software package, or partly run on the user's computer and partly run on the remote computer, or run completely on the remote computer or server. In the latter case, the remote computer can be connected to the user's computer by any network form, such as local area network (LAN) or wide area network (WAN), or be connected to an external computer (such as by the Internet), or in a cloud computing environment, or as a service, such as software as a service (SaaS).

[0167] In addition, unless explicitly stated in the claims, the order of the processing elements and sequences described in this application, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and methods of this application. Although the above disclosure discusses some invention embodiments that are currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with the essence and scope of the embodiments of this application. For example, although the implementation of the various components described above can be embodied in a hardware device, it can also be implemented as a pure software solution, for example, installation on an existing server or mobile device.

[0168] Similarly, it should be noted that in order to simplify the description disclosed in this application and thus help understand one or more embodiments of the invention, in the above description of the embodiments of the application, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this method of the application should not be interpreted as reflecting the intention that the claimed object requires more features than those explicitly stated in each claim. On the contrary, the subject of the invention should have fewer features than the above single embodiment.

Claims

1. An optimization control method for multiple photovoltaic access areas, characterized in that: include: Divide the multiple photovoltaic power generation systems connected to the substation into series groups and parallel groups, each of which has at least three series groups and three parallel groups, and the number of series or parallel photovoltaic power generation systems in each group is different; Obtaining the voltage value and power demand value of the substation, the series number of the first series group, the series number of the second series group, the series number of the third series group, the parallel number of the first parallel group, the parallel number of the second parallel group, the parallel number of the second parallel group, the parallel number of the third parallel group, the grid-connected voltage of the substation after multiple photovoltaic power generation systems are connected in series and parallel, and the voltage fluctuation amplitude of the substation after multiple photovoltaic power generation systems connected in series and parallel are connected to the substation, and performing standardization or normalization processing to obtain multiple data points; Randomly select K data points as the initial cluster centers, K = 1, 2, ... n; n is the total number of data points; Calculate the distance from each data point to all cluster centers, and assign the data point to the cluster with the closest cluster center. Recalculate the location of the cluster center based on the data points in the cluster, and repeat this step until the location of the cluster center no longer changes or reaches the preset number of iterations to obtain the clustering result. Analyze the clustering results, find the cluster with the smallest voltage fluctuation amplitude under the current power demand value and the voltage value of the substation, and extract the average value or median of the data in the cluster as the data value corresponding to the minimum voltage fluctuation amplitude of the substation; Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

2. The optimization control method for multiple photovoltaic access stations according to claim 1 is characterized in that: The K value is determined using the elbow method and / or the silhouette coefficient method and / or the gap statistic method and / or the Calinski-Harabasz index method.

3. The optimization control method for multiple photovoltaic access stations according to claim 1, characterized in that: The voltage value of the substation is used as a row vector, the K value is used as a column vector, a matrix is ​​constructed, and then the voltage fluctuation amplitude of the substation is imported to perform surface fitting to obtain the first fitting surface; The power demand value is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the second fitting surface; The total number of photovoltaic power generation systems in series is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the third fitting surface; The total number of photovoltaic power generation systems in parallel is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain a fourth fitting surface; Based on the first fitting surface, a first K value corresponding to the current transformer area voltage value and the minimum transformer area voltage fluctuation amplitude is obtained; Based on the second fitting surface, a second K value corresponding to the current power demand value and the minimum value of the voltage fluctuation amplitude in the substation area is obtained; Based on the third fitting surface, the total number of first series connections and the third K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained; Based on the fourth fitting surface, the first total number of parallel connections and the fourth K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained; The mean value among the first K value, the second K value, the third K value and the fourth K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, the cluster with the smallest voltage fluctuation amplitude of the substation corresponding to the first total number of series connections and the first total number of parallel connections under the current power demand value and substation voltage value is found, and the mean value or median of the data is extracted from the cluster as the data value corresponding to the minimum voltage fluctuation amplitude of the substation; Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

4. The optimization control method for multiple photovoltaic access stations according to claim 3 is characterized in that: The number of series connections in the first series connection group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain a fifth fitting surface; Based on the fifth fitting surface, the number of series connection of the first series connection group and the fifth K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation area are obtained; The mean value among the first K value, the second K value, the third K value, the fourth K value and the fifth K value is taken as the optimal K value for clustering, and after clustering, based on the clustering results, the cluster with the smallest voltage fluctuation amplitude in the substation area corresponding to the first total number of series connections and the first total number of parallel connections under the current power demand value and the substation area voltage value is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum voltage fluctuation amplitude in the substation area; wherein the average value between the number of series connections of the first series group corresponding to the minimum value of the voltage fluctuation amplitude in the substation area and the average value or median of the number of series connections of the extracted first series group is taken as the number of series connections of the first series group corresponding to the minimum voltage fluctuation amplitude in the substation area; Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

5. The optimization control method for multiple photovoltaic access stations according to claim 4 is characterized in that: The number of series connections in the second series connection group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain a sixth fitting surface; Based on the sixth fitting surface, the number of series connection of the second series connection group and the sixth K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation area are obtained; The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value and the sixth K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude; The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area; The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area; Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

6. The optimization control method for multiple photovoltaic access stations according to claim 5 is characterized in that: The number of series connections in the third series connection group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the seventh fitting surface; Based on the seventh fitting surface, the number of series connection of the third series connection group and the seventh K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation area are obtained; The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value and the seventh K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude; The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area; The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area; The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area; Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

7. The optimization control method for multiple photovoltaic access stations according to claim 6 is characterized in that: The parallel number of the first parallel group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain an eighth fitting surface; Based on the eighth fitting surface, the parallel quantity of the first parallel group and the eighth K value corresponding to the minimum value of the voltage fluctuation amplitude in the substation are obtained; The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value, the seventh K value and the eighth K value is used as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude; The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area; The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area; The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area; The mean between the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation and the average value or median of the number of parallel connections of the first parallel connection group extracted is used as the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation; Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

8. The optimization control method for multiple photovoltaic access stations according to claim 7 is characterized in that: The parallel number of the second parallel group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then introduced into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain a ninth fitting surface; Based on the ninth fitting surface, the parallel quantity of the second parallel group and the ninth K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained; The average value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value, the seventh K value, the eighth K value and the ninth K value is taken as the optimal K value for clustering, and after clustering, based on the clustering result, under the current power demand value and the substation voltage value, the cluster with the smallest substation voltage fluctuation amplitude corresponding to the first total number of series connections and the first total number of parallel connections is found, and the average value or median of the data is extracted from the cluster as the data value corresponding to the minimum substation voltage fluctuation amplitude; The average of the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of series connected in the first series connected group extracted is used as the number of series connected in the first series connected group corresponding to the minimum voltage fluctuation amplitude in the substation area; The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area; The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area; The mean between the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation and the average value or median of the number of parallel connections of the first parallel connection group extracted is used as the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation; The mean between the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area and the average value or median of the number of parallel connections of the extracted second parallel connection groups is used as the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area; Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

9. The optimization control method for multiple photovoltaic access stations according to claim 8, characterized in that: The parallel number of the third parallel group is used as a row vector, and the K value is used as a column vector to form a matrix, which is then imported into the voltage fluctuation amplitude of the substation area to perform surface fitting to obtain the tenth fitting surface; Based on the tenth fitting surface, the parallel quantity of the third parallel group and the tenth K value corresponding to the minimum voltage fluctuation amplitude of the substation are obtained; The mean value among the first K value, the second K value, the third K value, the fourth K value, the fifth K value, the sixth K value, the seventh K value, the eighth K value, the ninth K value and the tenth K value is taken as the optimal K value for clustering, and after clustering, based on the clustering results, the cluster with the smallest voltage fluctuation amplitude in the substation area corresponding to the first total number of series connections and the first total number of parallel connections under the current power demand value and the substation area voltage value is found, and the mean value or median of the data is extracted from the cluster as the data value corresponding to the minimum voltage fluctuation amplitude in the substation area; wherein the mean value between the number of series connections of the first series group corresponding to the minimum value of the voltage fluctuation amplitude in the substation area and the mean value or median of the number of series connections of the extracted first series group is taken as the number of series connections of the first series group corresponding to the minimum voltage fluctuation amplitude in the substation area; The average of the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of second series connected groups extracted is used as the number of second series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area; The average of the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area and the average value or median of the number of third series connected groups extracted is used as the number of third series connected groups corresponding to the minimum voltage fluctuation amplitude in the substation area; The mean between the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation and the average value or median of the number of parallel connections of the first parallel connection group extracted is used as the number of parallel connections of the first parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation; The mean between the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area and the average value or median of the number of parallel connections of the extracted second parallel connection groups is used as the number of parallel connections of the second parallel connection groups corresponding to the minimum voltage fluctuation amplitude of the substation area; The mean between the number of parallel connections of the third parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation area and the average value or median of the number of parallel connections of the third parallel connection group extracted is used as the number of parallel connections of the third parallel connection group corresponding to the minimum voltage fluctuation amplitude of the substation area; Based on the data value corresponding to the minimum voltage fluctuation amplitude of the substation, optimization control of multiple photovoltaic access substations is carried out to minimize the voltage fluctuation amplitude of the substation.

10. An optimization control system for multiple photovoltaic access areas, characterized in that: The optimization control method for implementing the multi-photovoltaic access area according to any one of claims 1 to 9, wherein the optimization control system for the multi-photovoltaic access area comprises: A division module is used to divide the multiple photovoltaic power generation systems connected to the substation into series groups and parallel groups, each of which has at least 3 series groups and parallel groups, and the number of series or parallel photovoltaic power generation systems in each group is different; A data acquisition module is used to acquire the voltage value and power demand value of the substation, the series number of the first series group, the series number of the second series group, the series number of the third series group, the parallel number of the first parallel group, the parallel number of the second parallel group, the parallel number of the second parallel group, the parallel number of the third parallel group, the grid-connected voltage of multiple photovoltaic power generation systems connected in series and parallel to the substation, and the voltage fluctuation amplitude of the substation after multiple photovoltaic power generation systems connected in series and parallel are connected to the substation, and perform standardization or normalization processing to obtain multiple data points; Clustering module for: Randomly select K data points as the initial cluster centers, K = 1, 2, ... n; n is the total number of data points; calculate the distance from each data point to all cluster centers, and assign the data point to the cluster with the nearest cluster center, recalculate the position of the cluster center according to the data points in the cluster, and repeat this step until the position of the cluster center no longer changes or reaches the preset number of iterations, and obtain the clustering result; The analysis module is used to analyze the clustering results, find out the cluster with the smallest voltage fluctuation amplitude under the current power demand value and the voltage value of the substation, and extract the average value or median of the data in the cluster as the data value corresponding to the minimum voltage fluctuation amplitude of the substation; The optimization control module is used to perform optimization control of multiple photovoltaic access areas based on the data value corresponding to the minimum area voltage fluctuation amplitude, so as to minimize the area voltage fluctuation amplitude.

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