Method and device for optimizing reactive compensation configuration of transformer substation

Abstract

The invention provides a method and device for optimizing reactive power compensation configuration of a transformer substation, and the method comprises the steps: calculating the reactive power demand of the transformer substation according to obtained load data in a set time period, carrying out the clustering of a plurality of daily reactive power demand curves, and obtaining a plurality of types of typical daily reactive power demand curves, so as to determine the total compensation capacity of a capacitor, according to the total compensation capacity of the capacitors, different parallel capacitor combinations are configured by taking the number of capacitor groups, the capacity of a single capacitor group and the bus voltage of a transformer substation as constraint conditions, and then the total sum of the investment cost of the capacitors, the investment cost of the static var compensator and the reactive compensation mismatch cost under the different parallel capacitor combinations is minimum as an objective function; and determining the reactive compensation optimal configuration of the transformer substation. Compared with a traditional equal-capacity grouping method, reactive power fine compensation of the transformer substation can be achieved, reactive power loss cost caused by reactive power mismatch is reduced, and stability and electric energy quality of an electric power system are improved.

Description

Technical Field

[0001] The present invention relates to the field of reactive power compensation, and more particularly to a method and device for optimizing reactive power compensation configuration of a substation. Background Art

[0002] With the accelerated construction of new power systems, the "source, network, load, and storage" of the power grid have undergone profound changes. The characteristics of "double high and double random" of new energy make the system controllability of the power grid reduced and the safety risk further increased after a large number of new energy sources are connected to the power grid. Reasonable substation reactive power configuration is considered to be one of the key factors to ensure the safe, economical and stable operation of the power system. The control and management of reactive power has a far-reaching impact on all aspects of the power system, including voltage stability, line loss, equipment life and system reliability. In previous engineering designs, it is usually based on specifications and experience configuration, relying on the planning and design personnel's own experience and industry standards to determine the capacity of the reactive compensation device. This method is simple and versatile, but its guidance is relatively macro and cannot meet the specific needs of each substation. In the process of the power system shifting from high-speed development to high-quality development, the reactive compensation configuration method for substations also urgently needs to meet the needs of refinement and differentiation. By establishing a simulation model for substations in a certain area, the use of mathematical optimization technology to determine the optimal reactive configuration to obtain the best reactive planning scheme is obviously a future development trend. Summary of the invention

[0003] In order to solve the technical problem that in the prior art, when configuring the reactive compensation capacity of a substation, the configuration mainly relies on the experience of planning and design personnel and industry standards, resulting in the inability to meet the specific needs of the substation, the present invention provides a method and device for optimizing the reactive compensation configuration of a substation.

[0004] According to one aspect of the present invention, the present invention provides a method for optimizing reactive power compensation configuration of a substation, comprising:

[0005] Obtain the load data of the substation within the set time period, the unit price of the number of capacitors to be configured, the unit price of the capacity, the depreciation rate and the service life of the static VAR compensator to be configured, and the reactive power loss price;

[0006] Determine a plurality of daily reactive power demand curves of the substation according to the load data;

[0007] Perform cluster calculation on several daily reactive power demand curves to generate several types of typical daily reactive power demand curves, and determine the weight value of each type of typical daily reactive power demand curve;

[0008] According to the total compensation capacity of the capacitors to be configured, a plurality of parallel capacitor combinations are determined according to the set capacitor selection constraints, wherein the total compensation capacity of the capacitors to be configured is the maximum value among the peak values ​​of the plurality of typical daily reactive power demand curves, and the parallel capacitor combination includes the number of capacitor groups and the capacity of a single capacitor group;

[0009] Calculate the mismatch area and maximum reactive output difference formed by the intersection of each typical daily reactive demand curve and the reactive output curve formed by capacitor switching under each group of parallel capacitor combinations;

[0010] Calculate the investment cost of capacitors for each group of parallel capacitors according to the total compensation capacity, unit price of the number of groups, unit price of capacity, depreciation rate and service life of the capacitors to be configured;

[0011] Calculate the investment cost of the static VAR compensator under each group of parallel capacitor combinations according to the capacity unit price, depreciation rate and service life of the static VAR compensator to be configured and the maximum reactive output;

[0012] According to the weight value of each type of typical daily reactive power demand curve, the mismatch area and reactive power loss price, the reactive power mismatch fee under each group of parallel capacitor combination is calculated;

[0013] Based on the set reactive compensation optimization configuration objective function, the optimal configuration of reactive compensation for substation is determined according to the capacitor investment cost, static VAR compensator investment cost and reactive mismatch cost under each group of parallel capacitor combinations.

[0014] According to another aspect of the present invention, the present invention provides a device for optimizing reactive power compensation configuration of a substation, the device comprising:

[0015] The data acquisition module is used to obtain the load data of the substation within the set time period, the unit price of the number of capacitors to be configured, the unit price of the capacity, the depreciation rate and the service life of the static VAR compensator to be configured, and the reactive power loss price;

[0016] A first curve module, used to determine a plurality of daily reactive power demand curves of the substation according to the load data;

[0017] The second curve module is used to perform cluster calculation on a plurality of daily reactive power demand curves, generate a plurality of typical daily reactive power demand curves, and determine the weight value of each type of typical daily reactive power demand curve;

[0018] A capacity configuration module, used to determine a plurality of parallel capacitor combinations according to the total compensation capacity of the capacitors to be configured and the set capacitor selection constraint conditions, wherein the total compensation capacity of the capacitors to be configured is the maximum value among the peak values ​​of the plurality of typical daily reactive power demand curves, and the parallel capacitor combination includes the number of capacitor groups and the capacity of a single capacitor group;

[0019] The first calculation module is used to calculate the mismatch area and the maximum difference in reactive output formed by the intersection of each type of typical daily reactive demand curve and the reactive output curve formed by capacitor switching under each group of parallel capacitor combinations;

[0020] The second calculation module is used to calculate the capacitor investment cost under each group of parallel capacitor combination according to the total compensation capacity, unit price of the number of groups, unit price of capacity, depreciation rate and service life of the capacitor to be configured;

[0021] A third calculation module is used to calculate the investment cost of the static VAR compensator under each group of parallel capacitor combinations according to the capacity unit price, depreciation rate and service life of the static VAR compensator to be configured and the maximum reactive output;

[0022] A fourth calculation module, used for calculating the reactive mismatch cost under each group of parallel capacitor combinations according to the weight value of each type of typical daily reactive demand curve, the mismatch area and the reactive loss electricity price;

[0023] The result output module is used to determine the optimal configuration of reactive power compensation of the substation based on the set reactive power compensation optimization configuration objective function and according to the capacitor investment cost, static VAR compensator investment cost and reactive power mismatch cost under each group of parallel capacitor combinations.

[0024] According to another aspect of the present invention, the present invention provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is used to execute the method described in any one of the above aspects of the present invention.

[0025] According to another aspect of the present invention, an electronic device is provided, comprising: a processor; a memory for storing instructions executable by the processor; the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method described in any one of the above aspects of the present invention.

[0026] The method and device for optimizing the reactive power compensation configuration of a substation described in the present invention, wherein the method includes obtaining the load data of the substation within a set time period, the unit price of the number of groups of capacitors to be configured, the unit price of capacity, the depreciation rate and the service life of the static VAR compensator to be configured, and the reactive power loss price; determining a number of daily reactive power demand curves of the substation according to the load data; performing cluster calculation on the several daily reactive power demand curves to generate a number of typical daily reactive power demand curves, and determining the weight value of each type of typical daily reactive power demand curve; determining a number of groups of parallel capacitor combinations according to the set capacitor selection constraints based on the total compensation capacity of the capacitors to be configured; calculating the typical daily reactive power demand curves of each type under each group of parallel capacitor combinations and the reactive power demand curves formed by capacitor switching; The mismatch area formed by the intersection of the reactive output curve and the maximum difference in reactive output; the investment cost of the capacitor under each group of parallel capacitors is calculated according to the total compensation capacity of the capacitor to be configured, the unit price of the number of groups, the unit price of capacity, the depreciation rate and the service life; the investment cost of the static VAR compensator under each group of parallel capacitors is calculated according to the unit price of capacity, depreciation rate and service life of the static VAR compensator to be configured and the maximum reactive output; the reactive mismatch cost under each group of parallel capacitors is calculated according to the weight value of each type of typical daily reactive demand curve, the mismatch area and the reactive loss electricity price; based on the set reactive compensation optimization configuration objective function, the optimal configuration of the reactive compensation of the substation is determined according to the capacitor investment cost, the static VAR compensator investment cost and the reactive mismatch cost under each group of parallel capacitors. The method and device take the minimization of the sum of capacitor investment cost, static VAR compensator investment cost and reactive compensation mismatch cost as the objective function, and take the number of capacitor groups, compensation capacity and substation bus voltage as constraints. By matching and compensating several types of typical daily reactive demand curves obtained by clustering, compared with the traditional equal-capacity grouping method, the method and device can realize refined reactive compensation of substations, reduce reactive loss costs caused by reactive mismatch, and improve the stability of the power system and the power quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0028] Figure 1 A flowchart of a method for optimizing reactive power compensation configuration of a substation according to a preferred embodiment of the present invention;

[0029] Figure 2 A schematic diagram of a typical daily reactive power demand curve according to a preferred embodiment of the present invention;

[0030] Figure 3 A schematic structural diagram of a device for optimizing reactive power compensation configuration of a substation according to a preferred embodiment of the present invention;

[0031] Figure 4 Schematic diagram of the structure of an electronic device according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0032] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0033] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0034] Exemplary Methods

[0035] Figure 1 Flow chart of a method for optimizing the configuration of reactive power compensation in a substation according to a preferred embodiment of the present invention. Figure 1 As shown, the method for optimizing the reactive power compensation configuration of a substation described in this preferred embodiment starts from step 101 .

[0036] In step 101, the load data of the substation within a set time period, the unit price of the number of capacitors to be configured, the unit price of the capacity, the depreciation rate and the service life of the static VAR compensator to be configured, and the reactive power loss price are obtained.

[0037] In this preferred embodiment, the set time period is usually one year, which can be freely adjusted according to actual calculation needs. The unit price of the number of groups of capacitors to be configured, the unit price of capacity, the depreciation rate and the service life of the static VAR compensator to be configured, and the reactive power loss price are usually unchanged within a certain period of time. Specific examples are shown in Table 1.

[0038] Table 1

[0039]

[0040] As shown in Table 1, in this preferred embodiment, it is assumed that the depreciation rate and service life of the capacitor and the static VAR compensator are the same.

[0041] In step 102, a plurality of daily reactive power demand curves of the substation are determined according to the load data.

[0042] Preferably, the multiple daily reactive power demand curves of the substation are determined according to the load data, wherein the reactive power demand calculation formula is:

[0043]

[0044] In the formula, Q B is the reactive power demand of the substation at any time, P L and are the load side active power and power factor of the substation at the corresponding time, ΔQ 0i 、V Ni and X Ti are the no-load reactive power loss, rated voltage and short-circuit impedance of the i-th transformer in the substation, respectively, Li are the active power on the load side of the i-th transformer in the substation at the corresponding time, and I is the total number of transformers in the substation.

[0045] In this preferred implementation, it is considered that the reactive power demand of the substation includes two parts: the reactive load of the substation and the reactive loss of the transformer. Among them, the reactive load is determined according to the active power and power factor on the load side of the substation, and the reactive loss is determined according to the rated voltage, short-circuit impedance of each transformer, and the active power on the load side of the transformer. According to the load data of the substation at each moment, the reactive power demand at the corresponding moment can be calculated, thereby obtaining the daily reactive power demand curve of the substation.

[0046] In step 103, cluster calculation is performed on a plurality of daily reactive power demand curves to generate a plurality of types of typical daily reactive power demand curves, and a weight value of each type of typical daily reactive power demand curve is determined.

[0047] Preferably, clustering calculation is performed on a plurality of daily reactive power demand curves to generate a plurality of types of typical daily reactive power demand curves, and a weight value of each type of typical daily reactive power demand curve is determined, including:

[0048] The k-means clustering method is used to cluster several daily reactive power demand curves to generate several types of typical daily reactive power demand curves.

[0049] The weight value of each type of typical daily reactive power demand curve is determined according to the number of daily reactive power curves in each type of typical daily reactive power demand curve. The calculation formula is:

[0050]

[0051] In the formula, w j is the weight value of the j-th typical day reactive power demand curve, N j is the number of daily reactive power curves in the jth type of typical daily reactive power demand curve, and J is the total number of typical daily reactive power demand curves.

[0052] Figure 2 Schematic diagram of a typical daily reactive power demand curve according to a preferred embodiment of the present invention. In this preferred embodiment, when the k-means clustering method is used to cluster the daily reactive power demand curves of a year, three types of typical daily reactive power demand curves need to be generated. The final clustering results are as follows: Figure 2 As shown. Figure 2 It can be seen that the peak value of the first type of typical daily reactive power demand curve is the largest, which is 11.7Mvar, and it is used as the total compensation capacity of the capacitor to be configured. Correspondingly, according to the total number of daily reactive power demand curves and the number of daily reactive power demand curves included in the three types of typical reactive power demand curves, the weight value of each type of typical reactive power demand curve can be calculated.

[0053] In step 104, a plurality of parallel capacitor combinations are determined according to the total compensation capacity of the capacitors to be configured and the set capacitor selection constraints, wherein the total compensation capacity of the capacitors to be configured is the maximum value among the peak values ​​of several types of typical daily reactive power demand curves, and the parallel capacitor combination includes the number of capacitor groups and the capacity of a single capacitor group.

[0054] Preferably, the plurality of groups of parallel capacitor combinations are determined according to the total compensation capacity of the capacitors to be configured and the set capacitor selection constraints, wherein the capacitor selection constraints include:

[0055]

[0056] In the formula, K m is the number of capacitor groups to be configured in the mth group of parallel capacitors, m is a natural number, k 1 and k 2 is a natural number not less than 2, Q c is the total compensation capacity of the capacitor to be configured, Q ck is the capacity of the kth group of capacitors to be configured in the mth group of parallel capacitors, V sm is the substation bus voltage when the mth group of parallel capacitors is combined, V smin and V smax They are the lower and upper limits of the substation bus voltage respectively.

[0057] In practical applications, considering the cost and space, it is impossible for a substation to be equipped with an infinite number of capacitors. Therefore, this preferred embodiment limits the number of configurable capacitor groups to 2 to 4 groups, that is, k 1 is 2, k 2 =4. For the substation bus voltage constraint, taking the 10kV side bus C voltage monitoring point of the 110kV substation as an example, the bus voltage V s Meet 9.3kV≤V s ≤10.7kV.

[0058] In step 105, the mismatch area and the maximum difference in reactive output formed by the intersection of each type of typical daily reactive demand curve and the reactive output curve formed by capacitor switching under each group of parallel capacitor combinations are calculated.

[0059] (1) In this preferred embodiment, when the number of capacitor groups is determined, the total compensation capacity of the capacitors is equal to the sum of the capacities of the determined number of capacitor groups, and the bus voltage satisfies the constraint conditions, for example, when the number of capacitor groups is 3, the total compensation capacity of the capacitors is 11.7 Mvar, the capacities of the individual groups are 1.05 Mvar, 2.87 Mvar and 7.78 Mvar respectively, and the bus voltage also satisfies the constraint conditions, by Figure 1 On each typical daily reactive power demand curve, for the daily reactive power demand at each moment, the above three groups of capacitors are switched on and off to ensure that the switched compensation capacity is closest to the daily reactive power demand at that moment, so as to obtain the mismatch area between the two within one year. At the same time, for the maximum difference in reactive power output between the daily reactive power demand on the typical daily reactive power demand curve and the switched capacitor compensation capacity at the corresponding moment, a static reactive power compensator of the corresponding capacity is set for reactive power compensation. When the total compensation capacity of the capacitor is 11.7Mvar, the capacities of the single groups are 1.05Mvar, 2.87Mvar and 7.78Mvar respectively. Figure 2 The three typical daily reactive demand curves shown in the figure determine that the capacity of the static VAR compensator for fine compensation of reactive power shortage is 0.8Mvar. In this preferred embodiment, three groups of capacitors with single group capacities of 1.05Mvar, 2.87Mvar and 7.78Mvar are used for reactive power compensation. Compared with the traditional equal-capacity grouping method that divides the capacity of each group of capacitors into 3.9Mvar, the reactive mismatch area is reduced from 23.08Mvar·h to 10.83Mvar·h, and the reactive power loss cost can be saved by 7,400 yuan per year. After adding the static VAR compensator, although the investment cost is increased by 80,000 yuan, the reactive power loss cost can be saved by 6,500 yuan per year, and the cost can be recovered in about 12.3 years. In addition, the stability and power quality of the power system are improved through fine reactive power compensation.

[0060] In step 106, the investment cost of the capacitors for each group of parallel capacitors is calculated according to the total compensation capacity of the capacitors to be configured, the unit price of the number of groups, the unit price of the capacity, the depreciation rate and the service life.

[0061] Preferably, the capacitor investment cost for each group of parallel capacitors is calculated based on the total compensation capacity, unit price of the number of groups, unit price of capacity, depreciation rate and service life of the capacitors to be configured, and the calculation formula is:

[0062]

[0063] Where W Cm is the investment cost of the capacitors to be configured under the mth group of parallel capacitors, K m is the number of capacitor groups to be configured in the mth parallel capacitor combination, Q C is the total compensation capacity of the capacitor to be configured; w N 、w Q Respectively represent the unit price of capacitor groups and the unit price of capacity; r C and γ C They respectively represent the depreciation rate and useful life of the capacitor to be configured.

[0064] In this preferred embodiment, since the unit price of the number of capacitor groups, the unit price of capacity, the depreciation rate, and the service life are all known items, the investment cost of the capacitor to be configured can be calculated after determining the number of capacitor groups in the parallel capacitor combination and the total compensation capacity of the capacitor to be configured.

[0065] In step 107, the static VAR compensator investment cost for each group of parallel capacitor combinations is calculated according to the capacity unit price, depreciation rate, service life and the maximum reactive output value of the static VAR compensator to be configured.

[0066] Preferably, the static VAR compensator investment cost is calculated for each group of parallel capacitor combinations according to the capacity unit price, depreciation rate, service life and the maximum reactive output of the static VAR compensator to be configured, and the calculation formula is:

[0067]

[0068] Where W Gm is the investment cost of static VAR compensator to be configured under the mth group of parallel capacitors, Q Gm w is the capacity of the static VAR compensator to be configured under the mth group of parallel capacitors, and the maximum reactive output value is taken; G 、r C and γ G They are respectively the capacity unit price, depreciation rate and service life of the static VAR compensator to be configured.

[0069] Similarly, since the unit price of the capacity, depreciation rate, and service life of the static VAR compensator are all known items, after determining the capacity of the static VAR compensator to be configured corresponding to a certain group of parallel capacitor combinations, the corresponding static VAR compensator investment cost can be calculated.

[0070] In step 108, the reactive mismatch fee under each group of parallel capacitor combinations is calculated according to the weight value of each type of typical day reactive power demand curve, the mismatch area and the reactive power loss price.

[0071] Preferably, the reactive mismatch fee under each group of parallel capacitor combinations is calculated based on the weight value of each type of typical daily reactive demand curve, the mismatch area and the reactive loss electricity price, and the calculation formula is:

[0072]

[0073] Where W Lm is the reactive mismatch cost under the mth group of parallel capacitors, a is the set time period, w L is the reactive power loss price, w j is the weight value of the j-th typical day reactive power demand curve, S Lallmj It is the mismatch area formed by the intersection of the jth typical day reactive power demand and the reactive power output curve formed by switching on and off the mth group of parallel capacitors.

[0074] Similarly, since the weight value of each type of typical daily reactive power demand curve has been determined during clustering, the reactive power loss price and the time period are all known items, once the mismatch area formed by the intersection of a certain type of typical daily reactive power demand and a reactive power output curve formed by the switching of a group of parallel capacitors is determined, the corresponding reactive power mismatch cost can be calculated.

[0075] In step 109, based on the set reactive compensation optimization configuration objective function, the optimal configuration of reactive power compensation of the substation is determined according to the capacitor investment cost, static VAR compensator investment cost and reactive power mismatch cost under each group of parallel capacitor combinations.

[0076] Preferably, the reactive compensation optimization configuration objective function is set to determine the optimal configuration of reactive compensation of the substation according to the capacitor investment cost, static VAR compensator investment cost and reactive mismatch cost under each group of parallel capacitor combinations, wherein the expression of the reactive compensation optimization configuration objective function is:

[0077] y=min{W Cm +W Gm +W Lm}

[0078] Where y is the minimum value of the reactive power compensation investment cost of the substation.

[0079] In this preferred embodiment, the parallel capacitor combination determined when the reactive power compensation investment cost of the substation is minimized, and the capacity of the static VAR compensator corresponding to the combination are the optimal configuration of reactive power compensation of the substation.

[0080] (2) The method for optimizing the reactive power compensation configuration of a substation described in this preferred embodiment determines the total compensation capacity of the capacitor by determining the typical daily reactive power demand curve of the substation, and generates a capacitor combination including the number of capacitor groups and the capacity of a single group according to the total compensation capacity of the capacitor, and calculates the mismatch area and the maximum difference in reactive power formed by the intersection of the daily reactive power demand curve of the substation and the reactive power output curve obtained by switching capacitors based on the capacitor combination, thereby calculating the investment cost of the capacitor, the investment cost of the static VAR compensator and the reactive power loss cost caused by the reactive power mismatch area according to the capacitor combination, the mismatch area and the maximum difference in reactive power, and determining the optimal reactive power compensation configuration by minimizing the sum of the investment cost of the capacitor, the investment cost of the static VAR compensator and the reactive power loss cost caused by the reactive power mismatch area, which not only effectively reduces the reactive power mismatch area and saves reactive power loss costs, but also realizes refined reactive power compensation and improves the stability and power quality of the power system.

[0081] Exemplary Devices

[0082] Figure 3 Schematic diagram of the structure of a device for optimizing reactive power compensation configuration of a substation according to a preferred embodiment of the present invention. Figure 3 As shown, the optimized substation reactive power compensation configuration 300 described in this preferred embodiment includes:

[0083] The data acquisition module 301 is used to obtain the load data of the substation within a set time period, the unit price of the number of capacitors to be configured, the unit price of the capacity, the depreciation rate and the service life of the static VAR compensator to be configured, and the reactive power loss price;

[0084] A first curve module 302, used to determine a plurality of daily reactive power demand curves of the substation according to the load data;

[0085] The second curve module 303 is used to perform cluster calculation on a plurality of daily reactive power demand curves, generate a plurality of typical daily reactive power demand curves, and determine a weight value of each type of typical daily reactive power demand curve;

[0086] The capacity configuration module 304 is used to determine a plurality of parallel capacitor combinations according to the total compensation capacity of the capacitors to be configured and the set capacitor selection constraint conditions, wherein the total compensation capacity of the capacitors to be configured is the maximum value among the peak values ​​of the plurality of typical daily reactive power demand curves, and the parallel capacitor combination includes the number of capacitor groups and the capacity of a single capacitor group;

[0087] The first calculation module 305 is used to calculate the mismatch area and the maximum difference in reactive output formed by the intersection of each type of typical daily reactive demand curve and the reactive output curve formed by capacitor switching under each group of parallel capacitor combinations;

[0088] The second calculation module 306 is used to calculate the capacitor investment cost under each group of parallel capacitor combinations according to the total compensation capacity, unit price of the number of groups, unit price of capacity, depreciation rate and service life of the capacitors to be configured;

[0089] The third calculation module 307 is used to calculate the investment cost of the static VAR compensator under each group of parallel capacitor combinations according to the capacity unit price, depreciation rate and service life of the static VAR compensator to be configured and the maximum reactive output;

[0090] A fourth calculation module 308 is used to calculate the reactive mismatch cost under each group of parallel capacitor combinations according to the weight value of each type of typical daily reactive demand curve, the mismatch area and the reactive loss electricity price;

[0091] The result output module 309 is used to determine the optimal configuration of reactive power compensation of the substation based on the set reactive power compensation optimization configuration objective function and according to the capacitor investment cost, static VAR compensator investment cost and reactive power mismatch cost under each group of parallel capacitor combinations.

[0092] Preferably, the first curve module 302 determines several daily reactive power demand curves of the substation according to the load data, wherein the calculation formula of the reactive power demand is:

[0093]

[0094] In the formula, Q B is the reactive power demand of the substation at any time, P L and are the load side active power and power factor of the substation at the corresponding time, ΔQ 0i 、V Ni and X Ti are the no-load reactive power loss, rated voltage and short-circuit impedance of the i-th transformer in the substation, respectively, Li are the active power on the load side of the i-th transformer in the substation at the corresponding time, and I is the total number of transformers in the substation.

[0095] Preferably, the second curve module 303 performs cluster calculation on a plurality of daily reactive power demand curves to generate a plurality of types of typical daily reactive power demand curves, and determines a weight value of each type of typical daily reactive power demand curve, including:

[0096] The k-means clustering method is used to cluster several daily reactive power demand curves to generate several types of typical daily reactive power demand curves.

[0097] The weight value of each type of typical daily reactive power demand curve is determined according to the number of daily reactive power curves in each type of typical daily reactive power demand curve. The calculation formula is:

[0098]

[0099] In the formula, w j is the weight value of the j-th typical day reactive power demand curve, N j is the number of daily reactive power curves in the jth type of typical daily reactive power demand curve, and J is the total number of typical daily reactive power demand curves.

[0100] Preferably, the capacity configuration module 304 determines a plurality of groups of parallel capacitor combinations according to the total compensation capacity of the capacitors to be configured and according to the set capacitor selection constraints, wherein the capacitor selection constraints include:

[0101]

[0102] In the formula, K m is the number of capacitor groups to be configured in the mth group of parallel capacitors, m is a natural number, k 1 and k 2 is a natural number not less than 2, Q c is the total compensation capacity of the capacitor to be configured, Q ck is the capacity of the kth group of capacitors to be configured in the mth group of parallel capacitors, V sm is the substation bus voltage when the mth group of parallel capacitors is combined, V smin and V smax They are the lower and upper limits of the substation bus voltage respectively.

[0103] Preferably, the second calculation module 306 calculates the capacitor investment cost under each group of parallel capacitors according to the total compensation capacity, unit price of the number of groups, unit price of capacity, depreciation rate and service life of the capacitors to be configured, and the calculation formula is:

[0104]

[0105] Where W Cm is the investment cost of the capacitors to be configured under the mth group of parallel capacitors, K m is the number of capacitor groups to be configured in the mth parallel capacitor combination, Q C is the total compensation capacity of the capacitor to be configured; w N 、w Q Respectively represent the unit price of capacitor groups and the unit price of capacity; r C and γ C They respectively represent the depreciation rate and useful life of the capacitor to be configured.

[0106] Preferably, the third calculation module 307 calculates the static VAR compensator investment cost under each group of parallel capacitor combinations according to the capacity unit price, depreciation rate and service life of the static VAR compensator to be configured and the maximum reactive output, and the calculation formula is:

[0107]

[0108] Where W Gm is the investment cost of static VAR compensator to be configured under the mth group of parallel capacitors, Q Gm w is the capacity of the static VAR compensator to be configured under the mth group of parallel capacitors, and the maximum reactive output value is taken; G 、r C and γ G They are respectively the capacity unit price, depreciation rate and service life of the static VAR compensator to be configured.

[0109] Preferably, the fourth calculation module 308 calculates the reactive mismatch cost under each group of parallel capacitor combinations according to the weight value of each type of typical daily reactive demand curve, the mismatch area and the reactive loss electricity price, and the calculation formula is:

[0110]

[0111] Where W Lm is the reactive mismatch cost under the mth group of parallel capacitors, a is the set time period, w L is the reactive power loss price, w j is the weight value of the j-th typical day reactive power demand curve, S Lallmj It is the mismatch area formed by the intersection of the jth typical day reactive power demand and the reactive power output curve formed by switching on and off the mth group of parallel capacitors.

[0112] Preferably, the result output module 309 determines the optimal configuration of reactive power compensation of the substation based on the set reactive power compensation optimization configuration objective function, according to the capacitor investment cost, static VAR compensator investment cost and reactive power mismatch cost under each group of parallel capacitor combinations, wherein the expression of the reactive power compensation optimization configuration objective function is:

[0113] y=min{W Cm +W Gm +W Lm}

[0114] Where y is the minimum value of the reactive power compensation investment cost of the substation.

[0115] The device for optimizing the reactive power compensation configuration of a substation described in the preferred embodiment generates a plurality of reactive power demand curves according to the load curve of the substation, and determines the total compensation capacity of capacitors after clustering the plurality of reactive power demand curves to generate a plurality of typical daily reactive power demand curves, and configures capacitor combinations according to the total compensation capacity of capacitors, determines the reactive power mismatch area and the capacity of the static VAR compensator based on different capacitor combinations, and finally determines the optimal configuration of reactive power compensation of the substation according to the investment cost of the capacitors, the investment cost of the static VAR compensator and the reactive power mismatch cost under each group of parallel capacitor combinations through the set reactive power compensation optimization configuration objective function. The steps are the same as those taken by the method for optimizing the reactive power compensation configuration of a substation described in the present invention, and the technical effects achieved are also the same, which will not be repeated here.

[0116] Exemplary Electronic Devices

[0117] Figure 4 The electronic device according to the preferred embodiment of the present invention is a schematic diagram of the structure of the electronic device. The electronic device can be any one or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device can communicate with the first device and the second device to receive the collected input signal from them. Figure 4 FIG. 1 is a block diagram of an electronic device according to an embodiment of the present disclosure. Figure 4 As shown, the electronic device includes one or more processors 401 and a memory 402 .

[0118] The processor 401 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0119] The memory 402 may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 401 may run the program instructions to implement the energy consumption anomaly diagnosis method based on the enterprise energy consumption space of each disclosed embodiment described above and / or other desired functions. In one example, the electronic device may also include: an input device 403 and an output device 404, which are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0120] In addition, the input device 403 may also include, for example, a keyboard, a mouse, and the like.

[0121] The output device 404 can output various information to the outside, and can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto.

[0122] Of course, to simplify, Figure 4 Only some of the components related to the present disclosure in the electronic device are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device may further include any other appropriate components.

[0123] Exemplary computer program products and computer-readable storage media

[0124] In addition to the above-mentioned methods and devices, an embodiment of the present disclosure may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps in the method for optimizing the reactive compensation configuration of a substation according to various embodiments of the present disclosure described in the above-mentioned "Exemplary Method" section of this specification.

[0125] The computer program product may be written in any combination of one or more programming languages ​​to write program code for performing the operations of the disclosed embodiments, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0126] In addition, an embodiment of the present disclosure may also be a computer-readable storage medium having computer program instructions stored thereon, and when the computer program instructions are executed by a processor, the processor executes the steps in the method for optimizing the reactive power compensation configuration of a substation according to various embodiments of the present disclosure described in the above “Exemplary Method” section of this specification.

[0127] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0128] The basic principles of the present disclosure are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present disclosure are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present disclosure. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, and are not limitations. The above details do not limit the present disclosure to the necessity of adopting the above specific details to be implemented.

[0129] Each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0130] The block diagrams of the devices, apparatuses, equipment, and systems involved in this disclosure are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including," "comprising," "having," and the like are open words, referring to "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or," and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0131] The apparatus and method of the present disclosure may be implemented in many ways. For example, the apparatus and method of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above, unless otherwise specifically stated. In addition, in some embodiments, the present disclosure may also be implemented as a program recorded in a recording medium, which includes machine-readable instructions for implementing the method according to the present disclosure. Therefore, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

[0132] It should also be noted that in the apparatus, equipment and method of the present disclosure, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present disclosure. The above description of the disclosed aspects is provided to enable any technician in the field to make or use the present disclosure. Various modifications to these aspects are very obvious to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown here, but to the widest scope consistent with the principles and novel features disclosed herein.

[0133] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A method for optimizing reactive power compensation configuration of a substation, characterized in that: The method comprises: Obtain the load data of the substation within the set time period, the unit price of the number of capacitors to be configured, the unit price of the capacity, the depreciation rate and the service life of the static VAR compensator to be configured, and the reactive power loss price; Determine a plurality of daily reactive power demand curves of the substation according to the load data; Perform cluster calculation on several daily reactive power demand curves to generate several types of typical daily reactive power demand curves, and determine the weight value of each type of typical daily reactive power demand curve; According to the total compensation capacity of the capacitors to be configured, a plurality of parallel capacitor combinations are determined according to the set capacitor selection constraints, wherein the total compensation capacity of the capacitors to be configured is the maximum value among the peak values ​​of the plurality of typical daily reactive power demand curves, and the parallel capacitor combination includes the number of capacitor groups and the capacity of a single capacitor group; Calculate the mismatch area and maximum reactive output difference formed by the intersection of each typical daily reactive demand curve and the reactive output curve formed by capacitor switching under each group of parallel capacitor combinations; Calculate the investment cost of capacitors for each group of parallel capacitors according to the total compensation capacity, unit price of the number of groups, unit price of capacity, depreciation rate and service life of the capacitors to be configured; Calculate the investment cost of the static VAR compensator under each group of parallel capacitor combinations according to the capacity unit price, depreciation rate and service life of the static VAR compensator to be configured and the maximum reactive output; According to the weight value of each type of typical daily reactive power demand curve, the mismatch area and reactive power loss price, the reactive power mismatch fee under each group of parallel capacitor combination is calculated; Based on the set reactive compensation optimization configuration objective function, the optimal configuration of reactive compensation for substation is determined according to the capacitor investment cost, static VAR compensator investment cost and reactive mismatch cost under each group of parallel capacitor combinations.

2. The method according to claim 1, characterized in that The multiple daily reactive power demand curves of the substation are determined according to the load data, wherein the reactive power demand calculation formula is: In the formula, Q B is the reactive power demand of the substation at any time, P L and are the load side active power and power factor of the substation at the corresponding time, ΔQ 0i 、V Ni and X Ti are the no-load reactive power loss, rated voltage and short-circuit impedance of the i-th transformer in the substation, respectively, Li are the active power on the load side of the i-th transformer in the substation at the corresponding time, and I is the total number of transformers in the substation.

3. The method according to claim 1, characterized in that The clustering calculation is performed on a plurality of daily reactive power demand curves to generate a plurality of types of typical daily reactive power demand curves, and a weight value of each type of typical daily reactive power demand curve is determined, including: The k-means clustering method is used to cluster several daily reactive power demand curves to generate several types of typical daily reactive power demand curves. The weight value of each type of typical daily reactive power demand curve is determined according to the number of daily reactive power curves in each type of typical daily reactive power demand curve. The calculation formula is: In the formula, w j is the weight value of the j-th typical day reactive power demand curve, N j is the number of daily reactive power curves in the jth type of typical daily reactive power demand curve, and J is the total number of typical daily reactive power demand curves.

4. The method according to claim 1, characterized in that: According to the total compensation capacity of the capacitor to be configured, a plurality of groups of parallel capacitor combinations are determined according to the set capacitor selection constraints, wherein the capacitor selection constraints include: In the formula, K m is the number of capacitor groups to be configured in the mth parallel capacitor combination, m is a natural number, k1 and k2 are natural numbers not less than 2, Q c is the total compensation capacity of the capacitor to be configured, Q ck is the capacity of the kth group of capacitors to be configured in the mth group of parallel capacitors, V sm is the substation bus voltage when the mth group of parallel capacitors is combined, V smin and V smax They are the lower and upper limits of the substation bus voltage respectively.

5. The method according to claim 1, characterized in that The investment cost of capacitors for each group of parallel capacitors is calculated based on the total compensation capacity of the capacitors to be configured, the unit price of the number of groups, the unit price of the capacity, the depreciation rate and the service life, and the calculation formula is: Where W Cm is the investment cost of the capacitors to be configured under the mth group of parallel capacitors, K m is the number of capacitor groups to be configured in the mth parallel capacitor combination, Q C is the total compensation capacity of the capacitor to be configured; w N 、w Q Respectively represent the unit price of capacitor groups and the unit price of capacity; r C and γ C They respectively represent the depreciation rate and useful life of the capacitor to be configured.

6. The method according to claim 1, characterized in that The static VAR compensator investment cost is calculated for each group of parallel capacitors according to the capacity unit price, depreciation rate, service life and the maximum reactive output of the static VAR compensator to be configured, and the calculation formula is: Where W Gm is the investment cost of static VAR compensator to be configured under the mth group of parallel capacitors, Q Gm w is the capacity of the static VAR compensator to be configured under the mth group of parallel capacitors, and the maximum reactive output value is taken; G 、r C and γ G They are respectively the capacity unit price, depreciation rate and service life of the static VAR compensator to be configured.

7. The method according to claim 1, characterized in that The reactive mismatch cost under each group of parallel capacitor combination is calculated based on the weight value of each typical day reactive demand curve, the mismatch area and reactive loss electricity price, and the calculation formula is: Where W Lm is the reactive mismatch cost under the mth group of parallel capacitors, a is the set time period, w L is the reactive power loss price, w j is the weight value of the j-th typical day reactive power demand curve, S Lallmj It is the mismatch area formed by the intersection of the jth typical day reactive power demand and the reactive power output curve formed by switching on and off the mth group of parallel capacitors.

8. The method according to claim 1, characterized in that The reactive compensation optimization configuration objective function is set based on the capacitor investment cost, static VAR compensator investment cost and reactive mismatch cost under each group of parallel capacitor combinations to determine the optimal configuration of reactive compensation for the substation, wherein the expression of the reactive compensation optimization configuration objective function is: y=min{W Cm +W Gm +W Lm } Where y is the minimum value of the reactive power compensation investment cost of the substation.

9. A device for optimizing reactive power compensation configuration of a substation, characterized in that: The device comprises: The data acquisition module is used to obtain the load data of the substation within the set time period, the unit price of the number of capacitors to be configured, the unit price of the capacity, the depreciation rate and the service life of the static VAR compensator to be configured, and the reactive power loss price; A first curve module, used to determine a plurality of daily reactive power demand curves of the substation according to the load data; The second curve module is used to perform cluster calculation on a plurality of daily reactive power demand curves, generate a plurality of typical daily reactive power demand curves, and determine the weight value of each type of typical daily reactive power demand curve; A capacity configuration module, used to determine a plurality of parallel capacitor combinations according to the total compensation capacity of the capacitors to be configured and the set capacitor selection constraint conditions, wherein the total compensation capacity of the capacitors to be configured is the maximum value among the peak values ​​of the plurality of typical daily reactive power demand curves, and the parallel capacitor combination includes the number of capacitor groups and the capacity of a single capacitor group; The first calculation module is used to calculate the mismatch area and the maximum difference in reactive output formed by the intersection of each type of typical daily reactive demand curve and the reactive output curve formed by capacitor switching under each group of parallel capacitor combinations; The second calculation module is used to calculate the capacitor investment cost under each group of parallel capacitor combination according to the total compensation capacity, unit price of the number of groups, unit price of capacity, depreciation rate and service life of the capacitor to be configured; A third calculation module is used to calculate the investment cost of the static VAR compensator under each group of parallel capacitor combinations according to the capacity unit price, depreciation rate and service life of the static VAR compensator to be configured and the maximum reactive output; A fourth calculation module, used for calculating the reactive mismatch cost under each group of parallel capacitor combinations according to the weight value of each type of typical daily reactive demand curve, the mismatch area and the reactive loss electricity price; The result output module is used to determine the optimal configuration of reactive power compensation of the substation based on the set reactive power compensation optimization configuration objective function and according to the capacitor investment cost, static VAR compensator investment cost and reactive power mismatch cost under each group of parallel capacitor combinations.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program is used to execute the method according to any one of claims 1 to 8.

11. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1 to 8.

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