A method, system and device for harmonic control in distribution network

Abstract

The present invention discloses a method, system and device for harmonic control of distribution network, which relates to the technical field of harmonic control of distribution network, obtains the harmonic compensation current of power grid and the harmonic data of multiple low-voltage users, and classifies and processes each harmonic data to obtain multiple evaluation index sets, performs weight determination processing on each evaluation index set, obtains the evaluation weight coefficient corresponding to each evaluation index set, constructs the evaluation index vector of each evaluation index set according to the data type of each evaluation index set, uses each evaluation weight coefficient and each evaluation index vector to compensate and distribute the harmonic compensation current of power grid, and obtains the compensation harmonic current value of each low-voltage user. The method solves the technical problem that the harmonic control of distribution network is mainly based on the centralized control mode, and the decentralized industrial load of distribution network cannot be finely and flexibly controlled, which reduces the reliability of harmonic control of distribution network.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution network harmonic control, and in particular to a power distribution network harmonic control method, system and equipment. Background Art

[0002] With the widespread access to distributed renewable energy, power electronic devices are widely used in distribution networks, resulting in increased and increasingly complex harmonic pollution in distribution networks, posing severe challenges to the safe and economical operation of power grids.

[0003] Currently, harmonic control in distribution networks primarily utilizes current detection APFs (CDAPFs). These devices detect the current in the feeder lines of harmonic sources and simultaneously generate equal-amplitude, opposite-direction harmonic compensation currents to control harmonics in the distribution network. However, APFs primarily operate in a centralized control mode, operating at high-voltage nodes to ensure that the grid-connected current at those nodes is a standard sine wave. This makes it impossible to precisely and flexibly control the decentralized industrial loads of the distribution network, reducing the reliability of harmonic control in the distribution network. Summary of the Invention

[0004] The present invention provides a method, system and device for harmonic control in a distribution network, which solves the technical problem that harmonic control in a distribution network is mainly based on a centralized control mode, cannot perform fine and flexible control on the decentralized industrial loads of the distribution network, and reduces the reliability of harmonic control in the distribution network.

[0005] A first aspect of the present invention provides a method for harmonic control in a distribution network, comprising:

[0006] Obtaining the harmonic compensation current of the power grid and the harmonic data of multiple low-voltage users, and classifying and processing each of the harmonic data to obtain multiple evaluation index sets;

[0007] Perform weighting processing on each of the evaluation indicator sets to obtain the evaluation weight coefficient corresponding to each of the evaluation indicator sets;

[0008] Constructing an evaluation indicator vector for each evaluation indicator set according to the data type of each evaluation indicator set;

[0009] The compensation weight coefficients and the evaluation index vectors are used to distribute the power grid harmonic compensation current to obtain the compensation harmonic current value of each low-voltage user.

[0010] Optionally, the step of weighting each evaluation indicator set to obtain an evaluation weight coefficient corresponding to each evaluation indicator set includes:

[0011] Using a subjective hierarchy method to scale each of the evaluation index sets to obtain multiple evaluation scale values;

[0012] Inputting each of the evaluation scale values ​​into a preset judgment matrix to obtain a target judgment matrix;

[0013] The judgment elements associated with each of the evaluation indicator sets are extracted from the target judgment matrix, and the judgment elements associated with each of the evaluation indicator sets are input into a preset weighting function to obtain the evaluation weight coefficient corresponding to each of the evaluation indicator sets.

[0014] Optionally, the step of constructing the evaluation indicator vector of each evaluation indicator set according to the data type of each evaluation indicator set includes:

[0015] According to the data type of each evaluation index set, each evaluation index set is divided into a harmonic voltage evaluation index set, a harmonic current evaluation index set, a power evaluation index set and a distance evaluation index set;

[0016] Vectorizing each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit corresponding to each harmonic voltage content rate to obtain a first evaluation index vector;

[0017] quantizing each harmonic current value in the harmonic current evaluation index set and the harmonic current limit vector corresponding to each harmonic current value to obtain a second evaluation index vector;

[0018] Constructing a third evaluation index vector using the power evaluation index set;

[0019] An electrical distance analysis is performed on the distance evaluation index set to obtain a fourth evaluation index vector.

[0020] Optionally, the step of performing vector processing on each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit corresponding to each harmonic voltage content rate to obtain a first evaluation index vector includes:

[0021] Ratio processing is performed on each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit value corresponding to each harmonic voltage content rate to obtain the harmonic voltage distortion rate corresponding to each harmonic voltage content rate;

[0022] Constructing a first evaluation matrix using all of the harmonic voltage distortion rates;

[0023] Performing weighting processing on each of the harmonic voltage distortion rates to obtain a first evaluation weight corresponding to each of the harmonic voltage distortion rates and constructing a first weight matrix using the first evaluation weight;

[0024] The first evaluation matrix is ​​multiplied by the first weight matrix to obtain a first evaluation index vector.

[0025] Optionally, the step of quantizing each of the harmonic current values ​​in the harmonic current evaluation index set and the harmonic current limit vector corresponding to each of the harmonic current values ​​to obtain a second evaluation index vector includes:

[0026] performing ratio processing on each harmonic current value in the harmonic current evaluation index set and the harmonic current limit value corresponding to each harmonic current value to obtain the harmonic current amplitude corresponding to each harmonic current value;

[0027] constructing a second evaluation matrix using all of the harmonic current amplitudes;

[0028] Performing weighting processing on each of the harmonic current amplitudes to obtain a second evaluation weight corresponding to each of the harmonic current amplitudes and constructing a second weight matrix using the second evaluation weight;

[0029] The second evaluation matrix is ​​multiplied by the second weight matrix to obtain a second evaluation index vector.

[0030] Optionally, the step of constructing a third evaluation indicator vector using the power evaluation indicator set includes:

[0031] The power evaluation index is concentrated and the average active power is averaged to obtain the power average;

[0032] performing ratio processing on each of the average active powers and the power mean respectively to obtain a power ratio corresponding to each of the average active powers;

[0033] All of the power ratios are used to construct a third evaluation index vector.

[0034] Optionally, the step of performing electrical distance analysis on the distance evaluation indicator set to obtain a fourth evaluation indicator vector includes:

[0035] Calculate the electrical distance between each user in the distance evaluation index set and the grid connection point;

[0036] All the electrical distances are normalized to obtain a fourth evaluation index vector.

[0037] Optionally, the step of using each of the evaluation weight coefficients and each of the evaluation index vectors to compensate and distribute the grid harmonic compensation current to obtain the compensation harmonic current value of each low-voltage user includes:

[0038] Matrixing the evaluation weight coefficients to obtain an evaluation weight coefficient matrix;

[0039] Matrixing each of the evaluation index vectors to obtain an evaluation index matrix;

[0040] The evaluation weight coefficient matrix, the evaluation index matrix and the power grid harmonic compensation current are multiplied to obtain the compensation harmonic current value of each low-voltage user.

[0041] A second aspect of the present invention provides a distribution network harmonic control system, comprising:

[0042] An acquisition module is used to obtain the harmonic compensation current of the power grid and the harmonic data of multiple low-voltage users, and classify and process each of the harmonic data to obtain multiple evaluation index sets;

[0043] A weight determination module is used to perform weight determination processing on each evaluation indicator set to obtain the evaluation weight coefficient corresponding to each evaluation indicator set;

[0044] A construction module, configured to construct an evaluation indicator vector for each evaluation indicator set according to the data type of each evaluation indicator set;

[0045] The compensation module is used to use each of the evaluation weight coefficients and each of the evaluation index vectors to compensate and distribute the power grid harmonic compensation current to obtain the compensation harmonic current value of each low-voltage user.

[0046] A third aspect of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the distribution network harmonic control method as described in any one of the above items.

[0047] It can be seen from the above technical solutions that the present invention has the following advantages:

[0048] The present invention obtains the harmonic compensation current of the power grid and the harmonic data of multiple low-voltage users, and then divides each harmonic data according to category to obtain multiple evaluation index sets. The multiple evaluation index sets are used as influencing factors to comprehensively evaluate the harmonic current that should be compensated for each low-voltage user in the distribution network, thereby determining the compensation harmonic current value corresponding to each low-voltage user, and thus realizing decentralized management of the distribution network harmonics. This overcomes the technical problem that the existing technology mainly relies on a centralized management mode, cannot perform fine and flexible control of the decentralized industrial loads of the distribution network, and reduces the reliability of the harmonic management of the distribution network. Compared with the traditional harmonic management method, the present invention can accurately calculate the compensation harmonic current value required by each user, reduce the loss caused by the APF transmission through the line, and improve the reliability of the harmonic management of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0050] Figure 1 A flowchart of a method for harmonic control in a distribution network provided in accordance with the first embodiment of the present invention;

[0051] Figure 2 A flow chart of the steps of a method for harmonic control in a distribution network provided in the second embodiment of the present invention;

[0052] Figure 3 A structural block diagram of a distribution network harmonic control system provided in the third embodiment of the present invention;

[0053] Figure 4 This is a structural block diagram of a computer device provided in Example 4 of the present invention. DETAILED DESCRIPTION

[0054] The embodiments of the present invention provide a method, system and device for harmonic control in a distribution network, which are used to solve the technical problem that harmonic control in a distribution network is mainly based on a centralized control mode, which cannot precisely and flexibly control the decentralized industrial loads of the distribution network, thereby reducing the reliability of harmonic control in the distribution network.

[0055] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0056] See also Figure 1 , Figure 1 This is a flowchart of the steps of a distribution network harmonic control method provided in Example 1 of the present invention.

[0057] The present invention provides a method for controlling harmonics in a distribution network, comprising:

[0058] Step 101: Obtaining the power grid harmonic compensation current and harmonic data of multiple low-voltage users, and classifying and processing each harmonic data to obtain multiple evaluation index sets;

[0059] The amount of grid harmonic compensation current refers to the total installed capacity of APF in the distribution network.

[0060] Harmonic data refers to the harmonic voltage content rate, harmonic voltage content rate limit, harmonic current value, harmonic current limit, average active power and node self-impedance of low-voltage users.

[0061] In an embodiment of the present invention, the harmonic compensation current of the power grid and the harmonic data of each harmonic source user in the low voltage level area are obtained, and each harmonic data is classified and processed to obtain multiple evaluation index sets.

[0062] Step 102: weight each evaluation indicator set to obtain the evaluation weight coefficient corresponding to each evaluation indicator set;

[0063] In an embodiment of the present invention, a subjective hierarchy method is used to scale each evaluation index set to obtain a scale value between each evaluation index set, and each scale value is input into a preset 4×4 judgment matrix to obtain a target judgment matrix. The evaluation weight coefficient corresponding to each evaluation index set is determined based on the target judgment matrix.

[0064] Step 103: construct an evaluation indicator vector for each evaluation indicator set according to the data type of each evaluation indicator set;

[0065] In an embodiment of the present invention, based on the data type of each evaluation indicator set, which includes harmonic voltage distortion rate, harmonic current amplitude, average active power, and electrical distance, when the data type is harmonic voltage distortion rate or harmonic current amplitude, the evaluation indicator vector for the evaluation indicator set is constructed in conjunction with the weighting method in step 102. When the data type is average active power, the evaluation indicator set is input into a preset mean function to obtain the evaluation indicator vector corresponding to the evaluation indicator set. When the data type is electrical distance, the electrical distance between the self-impedances of each node in the evaluation indicator set is calculated and then normalized to obtain the evaluation indicator vector for the evaluation indicator set.

[0066] Step 104 : using each evaluation weight coefficient and each evaluation index vector to distribute the compensation current of the power grid harmonic compensation, and obtaining the compensation harmonic current value of each low-voltage user.

[0067] In an embodiment of the present invention, each evaluation weight coefficient is used to construct an evaluation weight matrix, and each evaluation index vector is used to construct an evaluation index matrix. The evaluation weight matrix, the evaluation index matrix and the power grid harmonic compensation current are multiplied to obtain the compensated harmonic current value of each low-voltage user.

[0068] In an embodiment of the present invention, the present invention obtains the amount of harmonic compensation current of the power grid and the harmonic data of multiple low-voltage users, and then divides each harmonic data according to category to obtain multiple evaluation index sets, and uses multiple evaluation index sets as influencing factors to comprehensively evaluate the harmonic current that should be compensated for each low-voltage user in the distribution network, thereby determining the compensation harmonic current value corresponding to each low-voltage user, and thus realizing decentralized management of the harmonics in the distribution network. This overcomes the technical problem that the existing technology mainly relies on a centralized management mode, cannot perform fine and flexible control of the decentralized industrial loads of the distribution network, and reduces the reliability of the harmonic management of the distribution network. Compared with the traditional harmonic management method, the present invention can accurately calculate the compensation harmonic current value required by each user, reduce the loss caused by the APF transmission through the line, and improve the reliability of the harmonic management of the distribution network.

[0069] See also Figure 2 , Figure 2 This is a flowchart of the steps of a distribution network harmonic control method provided in Example 2 of the present invention.

[0070] The present invention provides a method for controlling harmonics in a distribution network, comprising:

[0071] Step 201: Obtain the power grid harmonic compensation current and harmonic data of multiple low-voltage users, and classify each harmonic data to obtain multiple evaluation index sets;

[0072] In an embodiment of the present invention, the harmonic compensation current of the power grid and the harmonic data of multiple low-voltage users are obtained, and each harmonic data is classified and processed according to the harmonic voltage distortion rate, harmonic current amplitude, the electrical distance of the user from the grid connection point, and the average active power of the user to obtain multiple evaluation index sets.

[0073] Step 202: weight each evaluation indicator set to obtain the evaluation weight coefficient corresponding to each evaluation indicator set;

[0074] Furthermore, step 202 includes the following sub-steps:

[0075] S11. Use the subjective hierarchy method to scale each evaluation index set to obtain multiple evaluation scale values;

[0076] In the embodiment of the present invention, as shown in Table 1, the subjective hierarchy method is used to scale each evaluation index set to obtain the evaluation scale value t between each evaluation index set. ij .

[0077]

[0078] Table 1

[0079] S12, inputting each evaluation scale value into a preset judgment matrix to obtain a target judgment matrix;

[0080] In the embodiment of the present invention, a 4×4 target judgment matrix is ​​constructed using the judgment scale value.

[0081] It should be noted that the target judgment matrix is ​​specifically:

[0082]

[0083] S13. Extracting the judgment elements associated with each evaluation index set from the target judgment matrix, and inputting the judgment elements associated with each evaluation index set into a preset weighting function to obtain the evaluation weight coefficient corresponding to each evaluation index set.

[0084] In the embodiment of the present invention, the judgment elements associated with each evaluation index set are extracted from the target judgment matrix. For example, the evaluation index set is K1, that is, the judgment element associated with the evaluation index set in the target judgment matrix is ​​W. 11 、W 12 、W 13 and W 14 , input the judgment elements associated with each evaluation index set into the preset fixed weight function to obtain the evaluation weight coefficient corresponding to each evaluation index set.

[0085] It should be noted that the specific weight function is:

[0086]

[0087] in, is the evaluation weight coefficient of the i-th evaluation index set, Determine the element in row i and column j of W.

[0088] Step 203: Divide each evaluation index set into a harmonic voltage evaluation index set, a harmonic current evaluation index set, a power evaluation index set, and a distance evaluation index set according to the data type of each evaluation index set;

[0089] In the embodiment of the present invention, each evaluation index set is divided into a harmonic voltage evaluation index set, a harmonic current evaluation index set, a power evaluation index set, and a distance evaluation index set according to data type.

[0090] Step 204: quantize each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit corresponding to each harmonic voltage content rate to obtain a first evaluation index vector;

[0091] Furthermore, step 204 includes the following sub-steps:

[0092] A11. Ratio each harmonic voltage content rate in the harmonic voltage evaluation index set with the content rate limit corresponding to each harmonic voltage content rate to obtain the harmonic voltage distortion rate corresponding to each harmonic voltage content rate;

[0093] In an embodiment of the present invention, each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit corresponding to each harmonic voltage content rate are input into a preset voltage distortion rate function to obtain the harmonic voltage distortion rate corresponding to each harmonic voltage content rate.

[0094] It should be noted that the voltage distortion rate function is specifically:

[0095]

[0096] in, is the harmonic voltage distortion rate of the jth harmonic voltage content of user i, is the jth harmonic voltage content rate of user i, is the content rate limit of subharmonic voltage content rate, is the total number of users, is the total number of harmonics.

[0097] A12. Construct a first evaluation matrix using all harmonic voltage distortion rates;

[0098] In the embodiment of the present invention, all harmonic voltage distortion rates are used to construct the first evaluation matrix.

[0099] It should be noted that the first evaluation matrix is ​​specifically:

[0100]

[0101] A13. Weighting each harmonic voltage distortion rate to obtain a first evaluation weight corresponding to each harmonic voltage distortion rate and constructing a first weight matrix using the first evaluation weight;

[0102] In the embodiment of the present invention, each harmonic voltage distortion rate is weighted by the method of step 202 to obtain a first judgment weight corresponding to each harmonic voltage distortion rate. For example, each harmonic voltage distortion rate is scaled by the subjective hierarchy method to obtain multiple voltage scale values ​​(i.e., the severity of the harm of different harmonics to power equipment is determined according to the subjective hierarchy method). Each harmonic voltage distortion rate is used to construct a first judgment weight. A target judgment matrix is ​​constructed by extracting judgment elements associated with each harmonic voltage distortion rate from the target judgment matrix, inputting each judgment element into a preset weighting function, and obtaining first judgment weights corresponding to each harmonic voltage distortion rate. The first judgment weights are used to construct a first weight matrix.

[0103] A14. Multiply the first evaluation matrix and the first weight matrix to obtain a first evaluation index vector.

[0104] In the embodiment of the present invention, the multiplication value between the first evaluation matrix and the first weight matrix is ​​calculated to obtain the first evaluation index vector, wherein the size of the first evaluation index vector is (i.e. the first evaluation index vector ,in, is the first element in the first evaluation index vector, is the second element in the first evaluation index vector, is the first evaluation index vector elements).

[0105] Step 205: quantize each harmonic current value in the harmonic current evaluation index set and the harmonic current limit vector corresponding to each harmonic current value to obtain a second evaluation index vector;

[0106] Furthermore, step 205 includes the following sub-steps:

[0107] S21, performing ratio processing on each harmonic current value in the harmonic current evaluation index set and the harmonic current limit value corresponding to each harmonic current value to obtain the harmonic current amplitude corresponding to each harmonic current value;

[0108] In an embodiment of the present invention, each harmonic current value in the harmonic current evaluation index set and the harmonic current limit corresponding to each harmonic current value are input into a preset harmonic current amplitude function to obtain the harmonic current amplitude corresponding to each harmonic current value.

[0109] It should be noted that the harmonic current amplitude function is specifically:

[0110]

[0111] in, is the harmonic current amplitude of the jth harmonic current amplitude of user i, is the jth harmonic current amplitude of user i, is the harmonic current limit of the jth harmonic current.

[0112] S22, constructing a second evaluation matrix using all harmonic current amplitudes;

[0113] In an embodiment of the present invention, all harmonic current amplitudes are used to construct a second evaluation matrix, wherein the second evaluation matrix is ​​specifically:

[0114]

[0115] S23, performing weighting processing on each harmonic current amplitude to obtain a second evaluation weight corresponding to each harmonic current amplitude and constructing a second weight matrix using the second evaluation weight;

[0116] In the embodiment of the present invention, each harmonic current amplitude is weighted by the method of step 202 to obtain a second evaluation weight corresponding to each harmonic current amplitude. For example, the subjective hierarchy method is used to scale each harmonic current amplitude to obtain multiple current scaling values ​​(i.e., the importance of different harmonics is determined according to the subjective hierarchy method), and each harmonic current amplitude is used to construct a second evaluation weight. A target judgment matrix is ​​constructed by extracting judgment elements associated with each harmonic current amplitude from the target judgment matrix, inputting each judgment element into a preset weighting function, and obtaining second judgment weights corresponding to each harmonic current amplitude. The second judgment weights are used to construct a second weight matrix.

[0117] S24. Multiply the second evaluation matrix and the second weight matrix to obtain a second evaluation index vector.

[0118] In the embodiment of the present invention, the product value between the second evaluation matrix and the second weight matrix is ​​calculated to obtain the second evaluation index vector (ie, the second evaluation index vector ,in, is the first element in the second evaluation index vector, is the second element in the second evaluation index vector, is the first in the second evaluation index vector elements).

[0119] Step 206: construct a third evaluation index vector using the power evaluation index set;

[0120] Furthermore, step 206 includes the following sub-steps:

[0121] S31, performing mean processing on the average active powers of the power evaluation index to obtain a power mean;

[0122] S32, performing ratio processing on each average active power and the power mean to obtain a power ratio corresponding to each average active power;

[0123] In the embodiment of the present invention, each average active power in the power evaluation index set is input into a preset power ratio function to obtain a power ratio corresponding to each average active power.

[0124] It should be noted that the power ratio function is specifically:

[0125]

[0126] in, is the average active power of the i-th user, is the mean power, is the power ratio of the i-th user.

[0127] S33. Use all power ratios to construct a third evaluation index vector.

[0128] In the embodiment of the present invention, all power ratios are used to construct the third evaluation index vector (i.e. ).

[0129] Step 207: Perform electrical distance analysis on the distance evaluation index set to obtain a fourth evaluation index vector.

[0130] Furthermore, step 207 includes the following sub-steps:

[0131] S41, calculating the electrical distance between each user in the distance evaluation index set and the grid connection point;

[0132] In the embodiment of the present invention, the distance evaluation index is concentrated and the distance between each user and the grid connection point is input into a preset electrical distance function to obtain the electrical distance between each user and the grid connection point.

[0133] It should be noted that the electrical distance function is specifically:

[0134]

[0135] in, is the self-impedance of the ith node, is the mutual impedance between the i-th and j-th nodes.

[0136] S42: Normalize all electrical distances to obtain a fourth evaluation index vector.

[0137] In the embodiment of the present invention, all electrical distances are normalized to obtain the fourth evaluation index vector (i.e. ,in, is the dimension conversion value of the electrical distance between user 1 and grid connection point j, is the dimension conversion value of the electrical distance between user 2 and grid connection point j, is the dimension-converted value of the electrical distance between user N and grid connection point j).

[0138] Step 208: Use each evaluation weight coefficient and each evaluation index vector to distribute the power grid harmonic compensation current to obtain the compensation harmonic current value of each low-voltage user.

[0139] Furthermore, step 208 includes the following sub-steps:

[0140] S51, matrixing each evaluation weight coefficient to obtain an evaluation weight coefficient matrix;

[0141] In the embodiment of the present invention, each evaluation weight coefficient is used to construct an evaluation weight coefficient matrix.

[0142] It should be noted that the evaluation weight coefficient matrix is ​​specifically:

[0143]

[0144] in, is the evaluation weight coefficient matrix, is the evaluation weight coefficient corresponding to the first evaluation index vector, is the evaluation weight coefficient corresponding to the second evaluation index vector, is the evaluation weight coefficient corresponding to the third evaluation index vector, is the evaluation weight coefficient corresponding to the fourth evaluation index vector.

[0145] S52, performing matrix processing on each evaluation index vector to obtain an evaluation index matrix;

[0146] In the embodiment of the present invention, each evaluation index vector is used to construct an evaluation index matrix.

[0147] It should be noted that the evaluation index matrix is ​​specifically as follows:

[0148]

[0149] in, is the first evaluation index vector, is the second evaluation index vector, is the third evaluation index vector, is the fourth evaluation index vector, is the power ratio of the first user, is the power ratio of the second user, is the power ratio of the Nth user, is the dimension conversion value of the electrical distance between user 1 and grid connection point j, is the dimension conversion value of the electrical distance between user 2 and grid connection point j, The dimension-converted value of the electrical distance between user N and grid connection point j.

[0150] S53: Multiply the evaluation weight coefficient matrix, the evaluation index matrix, and the power grid harmonic compensation current to obtain the compensation harmonic current value of each low-voltage user.

[0151] In an embodiment of the present invention, the multiplication value between the evaluation weight coefficient matrix, the evaluation index matrix and the grid harmonic compensation current is calculated to obtain the compensation harmonic current value of each low-voltage user (that is, the APF capacity that should be installed for each low-voltage user).

[0152] In another embodiment of the present invention, in a specific implementation of S53, to facilitate the implementation of the method, the above process can be converted into a formula encapsulation form, and the expression of the compensation harmonic current value of each low-voltage user is as follows:

[0153]

[0154]

[0155] in, is the compensation harmonic current value of the i-th low-voltage user, is the grid harmonic compensation current, is the compensation coefficient of the i-th low-voltage user, is the compensation coefficient for the first low-voltage user, is the compensation coefficient for the second low-voltage user, A collection of compensation coefficients for low-voltage users.

[0156] In an embodiment of the present invention, the present invention obtains the amount of harmonic compensation current of the power grid and the harmonic data of multiple low-voltage users, and then divides each harmonic data according to category to obtain multiple evaluation index sets, and uses multiple evaluation index sets as influencing factors to comprehensively evaluate the harmonic current that should be compensated for each low-voltage user in the distribution network, thereby determining the compensation harmonic current value corresponding to each low-voltage user, and thus realizing decentralized management of the harmonics in the distribution network. This overcomes the technical problem that the existing technology mainly relies on a centralized management mode, cannot perform fine and flexible control of the decentralized industrial loads of the distribution network, and reduces the reliability of the harmonic management of the distribution network. Compared with the traditional harmonic management method, the present invention can accurately calculate the compensation harmonic current value required by each user, reduce the loss caused by the APF transmission through the line, and improve the reliability of the harmonic management of the distribution network.

[0157] See also Figure 3 , Figure 3 This is a structural block diagram of a distribution network harmonic control system provided in Example 3 of the present invention.

[0158] The present invention provides a distribution network harmonic control system, comprising:

[0159] The acquisition module 301 is used to obtain the harmonic compensation current of the power grid and the harmonic data of multiple low-voltage users, and classify and process each harmonic data to obtain multiple evaluation index sets;

[0160] The weight determination module 302 is used to perform weight determination processing on each evaluation indicator set to obtain the evaluation weight coefficient corresponding to each evaluation indicator set;

[0161] A construction module 303 is used to construct an evaluation indicator vector of each evaluation indicator set according to the data type of each evaluation indicator set;

[0162] The compensation module 304 is used to use various evaluation weight coefficients and various evaluation index vectors to compensate and distribute the power grid harmonic compensation current to obtain the compensation harmonic current value of each low-voltage user.

[0163] Furthermore, the weight determination module 302 includes:

[0164] The scaling submodule is used to scale each evaluation index set using the subjective hierarchy method to obtain multiple evaluation scale values;

[0165] The first construction submodule is used to input each evaluation scale value into a preset judgment matrix to obtain a target judgment matrix;

[0166] The first analysis submodule is used to extract the judgment elements associated with each evaluation index set from the target judgment matrix, and input the judgment elements associated with each evaluation index set into a preset fixed weight function to obtain the judgment weight coefficient corresponding to each evaluation index set.

[0167] Furthermore, the construction module 303 includes:

[0168] A division submodule is used to divide each evaluation index set into a harmonic voltage evaluation index set, a harmonic current evaluation index set, a power evaluation index set and a distance evaluation index set according to the data type of each evaluation index set;

[0169] A first vector module is used to vectorize each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit value corresponding to each harmonic voltage content rate to obtain a first evaluation index vector;

[0170] A second vector quantum module is used to vectorize each harmonic current value in the harmonic current evaluation index set and the harmonic current limit value corresponding to each harmonic current value to obtain a second evaluation index vector;

[0171] A third vector quantum module, used to construct a third evaluation index vector using the power evaluation index set;

[0172] The fourth vector quantum module is used to perform electrical distance analysis on the distance evaluation index set to obtain a fourth evaluation index vector.

[0173] Furthermore, the first vector module includes:

[0174] The first analysis unit is used to perform ratio processing on each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit value corresponding to each harmonic voltage content rate to obtain the harmonic voltage distortion rate corresponding to each harmonic voltage content rate;

[0175] A first construction unit is configured to construct a first evaluation matrix using all harmonic voltage distortion rates;

[0176] A first weight determination unit is used to perform weight determination processing on each harmonic voltage distortion rate to obtain a first evaluation weight corresponding to each harmonic voltage distortion rate and construct a first weight matrix using the first evaluation weight;

[0177] The second analysis unit is used to multiply the first evaluation matrix and the first weight matrix to obtain a first evaluation index vector.

[0178] Furthermore, the second quantum module includes:

[0179] The third analysis unit is used to perform ratio processing on each harmonic current value in the harmonic current evaluation index set and the harmonic current limit value corresponding to each harmonic current value to obtain the harmonic current amplitude corresponding to each harmonic current value;

[0180] A second construction unit is configured to construct a second evaluation matrix using all harmonic current amplitudes;

[0181] A second weighting unit is used to perform weighting processing on each harmonic current amplitude, obtain a second evaluation weight corresponding to each harmonic current amplitude and construct a second weight matrix using the second evaluation weight;

[0182] The fourth analysis unit is used to multiply the second evaluation matrix and the second weight matrix to obtain a second evaluation index vector.

[0183] Furthermore, the third quantum module includes:

[0184] A fifth analysis unit is used to perform average processing on each average active power of the power evaluation index to obtain a power average;

[0185] a sixth analyzing unit, configured to perform ratio processing on each average active power and the power mean, to obtain a power ratio corresponding to each average active power;

[0186] The third evaluation index vector is constructed using all power ratios.

[0187] Furthermore, the fourth quantum module includes:

[0188] The seventh analysis unit is used to calculate the electrical distance between each user and the grid connection point in the distance evaluation index set;

[0189] The eighth analysis unit is configured to normalize all electrical distances to obtain a fourth evaluation index vector.

[0190] Furthermore, the compensation module 304 includes:

[0191] The second construction submodule is used to matrix-process each evaluation weight coefficient to obtain an evaluation weight coefficient matrix;

[0192] The third construction submodule is used to matrix-process each evaluation index vector to obtain an evaluation index matrix;

[0193] The second analysis submodule is used to multiply the evaluation weight coefficient matrix, the evaluation index matrix and the power grid harmonic compensation current to obtain the compensation harmonic current value of each low-voltage user.

[0194] See also Figure 4 , Figure 4 This is a structural block diagram of a computer device provided in Example 4 of the present invention.

[0195] An electronic device according to an embodiment of the present invention includes: a memory 401 and a processor 402, wherein the memory 402 stores a computer program; when the computer program is executed by the processor 402, the processor 402 executes a distribution network harmonic control method as described in any of the above embodiments.

[0196] Memory 401 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Memory 401 has storage space 403 for program code 413 for executing any of the method steps described above. For example, storage space 403 for program code may include individual program codes 413 for implementing various steps in the method described above. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes may be compressed, for example, in a suitable format. When executed by a processing device, these codes cause the processing device to execute the various steps in the method described above. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks. The program codes may be compressed, for example, in a suitable format. When these codes are executed by a computing and processing device, they cause the computing and processing device to execute the various steps of the above-described method for controlling harmonics in a power distribution network.

[0197] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0198] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0199] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0200] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0201] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0202] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for harmonic control in a distribution network, characterized in that: include: Obtaining the harmonic compensation current of the power grid and the harmonic data of multiple low-voltage users, and classifying and processing each of the harmonic data to obtain multiple evaluation index sets; Performing weighting processing on each of the evaluation indicator sets to obtain the evaluation weight coefficient corresponding to each of the evaluation indicator sets; Constructing the evaluation indicator vector of each evaluation indicator set according to the data type of each evaluation indicator set; Using each of the evaluation weight coefficients and each of the evaluation index vectors to compensate and distribute the power grid harmonic compensation current, and obtain the compensation harmonic current value of each low-voltage user; The step of constructing the evaluation indicator vector of each evaluation indicator set according to the data type of each evaluation indicator set comprises: According to the data type of each evaluation index set, each evaluation index set is divided into a harmonic voltage evaluation index set, a harmonic current evaluation index set, a power evaluation index set and a distance evaluation index set; Vectorizing each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit value corresponding to each harmonic voltage content rate to obtain a first evaluation index vector; Quantizing each of the harmonic current values ​​in the harmonic current evaluation index set and the harmonic current limit vectors corresponding to each of the harmonic current values ​​to obtain a second evaluation index vector; Constructing a third evaluation index vector by using the power evaluation index set; Electrical distance analysis is performed on the distance evaluation index set to obtain a fourth evaluation index vector.

2. The method for harmonic control of distribution network according to claim 1, characterized in that: The step of weighting each of the evaluation indicator sets to obtain the evaluation weight coefficient corresponding to each of the evaluation indicator sets includes: Using a subjective hierarchy method to scale each of the evaluation index sets to obtain multiple evaluation scale values; Inputting each of the evaluation scale values ​​into a preset judgment matrix to obtain a target judgment matrix; The judgment elements associated with each of the evaluation indicator sets are extracted from the target judgment matrix, and the judgment elements associated with each of the evaluation indicator sets are input into a preset weighting function to obtain the judgment weight coefficients corresponding to each of the evaluation indicator sets.

3. The method for harmonic control of distribution network according to claim 1, characterized in that: The step of vectorizing each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit values ​​corresponding to each harmonic voltage content rate to obtain a first evaluation index vector comprises: Respectively performing ratio processing on each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit value corresponding to each harmonic voltage content rate, so as to obtain the harmonic voltage distortion rate corresponding to each harmonic voltage content rate; Using all of the harmonic voltage distortion rates to construct a first evaluation matrix; Performing weighting processing on each of the harmonic voltage distortion rates to obtain a first evaluation weight corresponding to each of the harmonic voltage distortion rates and constructing a first weight matrix using the first evaluation weight; The first evaluation matrix is ​​multiplied by the first weight matrix to obtain a first evaluation index vector.

4. The method for harmonic control of distribution network according to claim 1, characterized in that: The step of quantizing each of the harmonic current values ​​in the harmonic current evaluation index set and the harmonic current limit vectors corresponding to each of the harmonic current values ​​to obtain a second evaluation index vector comprises: Respectively performing ratio processing on each of the harmonic current values ​​in the harmonic current evaluation index set and the harmonic current limit value corresponding to each of the harmonic current values ​​to obtain the harmonic current amplitude corresponding to each of the harmonic current values; constructing a second evaluation matrix using all of the harmonic current amplitudes; Performing weighting processing on each of the harmonic current amplitudes to obtain a second evaluation weight corresponding to each of the harmonic current amplitudes and constructing a second weight matrix using the second evaluation weight; The second evaluation matrix is ​​multiplied by the second weight matrix to obtain a second evaluation index vector.

5. The method for harmonic control of distribution network according to claim 1, characterized in that: The step of using the power evaluation index set to construct a third evaluation index vector comprises: The power evaluation index is concentrated and each average active power is averaged to obtain a power average; Respectively performing ratio processing on each of the average active powers and the power mean to obtain a power ratio corresponding to each of the average active powers; All of the power ratios are used to construct a third evaluation index vector.

6. The method for harmonic control of distribution network according to claim 1, characterized in that: The step of performing electrical distance analysis on the distance evaluation index set to obtain a fourth evaluation index vector comprises: Calculate the electrical distance between each user and the grid connection point in the distance evaluation index set; All the electrical distances are normalized to obtain a fourth evaluation index vector.

7. The method for harmonic control of distribution network according to claim 1, characterized in that: The step of using each of the evaluation weight coefficients and each of the evaluation index vectors to compensate and distribute the power grid harmonic compensation current to obtain the compensation harmonic current value of each low-voltage user includes: Matrixing each of the evaluation weight coefficients to obtain an evaluation weight coefficient matrix; Matrixing each of the evaluation index vectors to obtain an evaluation index matrix; The evaluation weight coefficient matrix, the evaluation index matrix and the power grid harmonic compensation current are multiplied to obtain the compensation harmonic current value of each low-voltage user.

8. A distribution network harmonic control system, characterized in that: include: The acquisition module is used to obtain the harmonic compensation current of the power grid and the harmonic data of multiple low-voltage users, and classify and process each of the harmonic data to obtain multiple evaluation index sets; A weight determination module is used to perform weight determination processing on each evaluation indicator set to obtain the evaluation weight coefficient corresponding to each evaluation indicator set; A construction module, used to construct an evaluation indicator vector of each evaluation indicator set according to the data type of each evaluation indicator set; A compensation module, used to use each of the evaluation weight coefficients and each of the evaluation index vectors to compensate and distribute the harmonic compensation current of the power grid, so as to obtain the compensation harmonic current value of each low-voltage user; The building blocks include: A division submodule, used for dividing each evaluation index set into a harmonic voltage evaluation index set, a harmonic current evaluation index set, a power evaluation index set and a distance evaluation index set according to the data type of each evaluation index set; A first vector module is used to vectorize each harmonic voltage content rate in the harmonic voltage evaluation index set and the content rate limit value corresponding to each harmonic voltage content rate to obtain a first evaluation index vector; A second vector submodule is used to vectorize each of the harmonic current values ​​in the harmonic current evaluation index set and the harmonic current limit values ​​corresponding to each of the harmonic current values ​​to obtain a second evaluation index vector; A third vector quantum module, used to construct a third evaluation index vector using the power evaluation index set; The fourth vector quantum module is used to perform electrical distance analysis on the distance evaluation indicator set to obtain a fourth evaluation indicator vector.

9. An electronic device, characterized in that: It includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the distribution network harmonic control method as described in any one of claims 1 to 7.

Images