Net rack optimization adjustment method and device for improving new energy multi-station short-circuit ratio

Abstract

The invention provides a grid optimization adjustment method and device for improving the short-circuit ratio of new energy multiple stations, and the method comprises the steps: recognizing unqualified nodes through the short-circuit ratio in a basic power grid operation mode, carrying out the sub-network division and shortest path recognition of the unqualified nodes, and determining a candidate branch set; generating a candidate operation mode set according to the basic power grid operation mode and branches in the candidate branch set; and determining an effectiveness result of each candidate operation mode according to the short-circuit capacity and the equivalent capacity change value of an unqualified bus node in the new energy multi-station short-circuit ratio unqualified node set contained in each candidate operation mode in the candidate operation mode and in the basic operation mode, and generating a grid optimization adjustment strategy set. According to the method, automatic generation of an effective net rack optimization adjustment strategy for new energy multi-station short circuit ratio improvement is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of safety and stability analysis and control of new energy power systems, and more specifically, to a grid optimization adjustment method and device for improving the short-circuit ratio of multiple renewable energy stations. Background Art

[0002] In recent years, new energy power generation equipment represented by wind power and photovoltaic power generation has been connected to the power grid on a large scale. Most of the existing new energy power generation equipment adopts the control mode of tracking the grid voltage, which requires the AC power grid to provide voltage support. The short-circuit ratio of multiple new energy stations is an important indicator for measuring voltage support. In actual applications, there have been many high-penetration new energy grid-connected areas with high unqualified short-circuit ratios of multiple new energy stations. There is an urgent need to study the control measures to improve the short-circuit ratio.

[0003] At present, the research on the short-circuit ratio of multiple renewable energy stations is mainly focused on its reasonable definition and calculation method, and the research on the control measures to improve the short-circuit ratio is still relatively lacking. The method of improving the short-circuit ratio of multiple renewable energy stations in engineering is mainly based on the manual trial and error method based on expert experience, which has the defects of high labor cost and difficulty in obtaining the optimal solution. There is a lack of optimization control methods and systems aimed at improving the short-circuit ratio of multiple renewable energy stations. At present, the power grid planning simulation software system does not have the decision-making support function for improving the short-circuit ratio of multiple renewable energy stations.

[0004] In principle, the grid structure and wiring method of the new energy grid-connected area will affect the short-circuit ratio of the new energy multi-station system. The above factors will directly lead to changes in short-circuit capacity, thereby causing changes in the short-circuit ratio of the grid-connected point. Therefore, during the operation stage, it is possible to consider changing the grid wiring method and switching the maintenance line input and output status, and by reducing the equivalent impedance of the new energy grid-connected point system and increasing the short-circuit capacity of the grid-connected point, the short-circuit ratio of the grid-connected point can be improved. In the planning stage, the goal of improving the short-circuit ratio of the grid-connected point can be achieved by adding transmission lines and transformers in the grid-connected point area.

[0005] Therefore, it is urgent to study and propose a new energy multi-station short-circuit ratio improvement control method based on grid optimization and adjustment, and develop corresponding auxiliary decision-making devices, so as to improve the safe and stable operation level of power grids and new energy stations. Summary of the invention

[0006] In order to solve the technical problems that the prior art lacks an optimization control method and system aimed at improving the short-circuit ratio of multiple renewable energy stations, and that the power grid planning simulation software system does not have a decision support function for improving the short-circuit ratio of multiple renewable energy stations, the present invention provides a grid optimization adjustment method and device for improving the short-circuit ratio of multiple renewable energy stations.

[0007] According to one aspect of the present invention, the present invention provides a grid optimization adjustment method for improving the short-circuit ratio of multiple renewable energy stations, the method comprising:

[0008] Step 1-1, constructing a power grid simulation digital model including multiple renewable energy stations, wherein the power grid simulation digital model includes a power grid flow simulation component data model and a power grid stability simulation component data model, the power grid flow simulation component data model constitutes a basic power grid operation mode, the power grid flow simulation component data model includes a renewable energy station model, and the renewable energy station model includes a renewable energy power generation unit;

[0009] Step 1-2, based on the short-circuit ratio calculation formula, calculate the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio according to the operating parameters of the bus node of each new energy station under the basic power grid operation mode, wherein the bus node of each new energy station includes the low-voltage node of the new energy power generation unit and the grid-connected high-voltage node of each new energy station, and the operating parameters include the system nominal voltage of the bus node, the conjugate of the actual operating voltage, the apparent power of the new energy injected into the power grid, and the self-impedance and the mutual impedance with other bus nodes;

[0010] Step 1-3, based on the set unqualified node judgment rule, determine the unqualified nodes of the short-circuit ratio of multiple new energy stations according to the short-circuit ratio of the bus nodes of each new energy station under the basic power grid operation mode, and generate a set of unqualified nodes of the short-circuit ratio of multiple new energy stations;

[0011] Step 1-4, based on the set sub-network grouping rules, generate at least one sub-network set according to the mutual impedance modulus values ​​of any two bus nodes in the new energy multi-station short-circuit ratio unqualified node set and the set modulus threshold;

[0012] Step 1-5, for any two bus nodes in each sub-network set, the shortest path between the two bus nodes is calculated according to the power grid branch impedance between the two bus nodes, and the candidate branch set of the power grid is determined according to the number of occurrences of the branch included in the shortest path, wherein the power grid branch impedance includes the transmission line reactance and transformer leakage reactance in the power grid power flow simulation element data model;

[0013] Step 1-6, generating a candidate operating mode set according to the basic power grid operating mode and the branches in the candidate branch set;

[0014] Step 1-7, based on the short-circuit ratio calculation formula, calculate the corresponding short-circuit capacity and equivalent capacity according to the operating parameters of the unqualified bus nodes in the new energy multi-station short-circuit ratio unqualified node set contained in each candidate operating mode in the candidate operating mode set;

[0015] Step 1-8, determine the validity result of each candidate operating mode according to the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of new energy multi-stations contained in each candidate operating mode under the candidate operating mode, and the short-circuit capacity and equivalent capacity under the basic operating mode, and generate a grid optimization adjustment strategy set based on the validity result, wherein the validity result includes a valid operating mode and an invalid operating mode.

[0016] According to another aspect of the present invention, the present invention provides a grid optimization and adjustment device for improving the short-circuit ratio of multiple renewable energy stations, the device comprising:

[0017] A model building module, used to build a power grid simulation digital model including multiple renewable energy stations, wherein the power grid simulation digital model includes a power grid flow simulation component data model and a power grid stability simulation component data model, the power grid flow simulation component data model constitutes a basic power grid operation mode, the power grid flow simulation component data model includes a renewable energy station model, and the renewable energy station model includes a renewable energy power generation unit;

[0018] The first calculation module is used to calculate the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio based on the short-circuit ratio calculation formula and the operating parameters of the bus node of each new energy station under the basic power grid operation mode, wherein the bus node of each new energy station includes the low-voltage node of the new energy power generation unit and the grid-connected high-voltage node of each new energy station, and the operating parameters include the system nominal voltage of the bus node, the conjugate of the actual operating voltage, the apparent power of the new energy injected into the power grid, and the self-impedance and the mutual impedance with other bus nodes;

[0019] The first set module is used to determine the unqualified nodes of the short-circuit ratio of multiple new energy stations based on the set unqualified node judgment rules and the short-circuit ratio of the bus nodes of each new energy station under the basic power grid operation mode, and generate a set of unqualified nodes of the short-circuit ratio of multiple new energy stations;

[0020] The second set module is used to generate at least one sub-network set based on the set sub-network grouping rules and according to the mutual impedance modulus values ​​of any two bus nodes in the new energy multi-station short-circuit ratio unqualified node set and the set modulus threshold;

[0021] The third set module calculates the shortest path between the two bus nodes according to the power grid branch impedance between the two bus nodes for any two bus nodes in each sub-network set, and determines the candidate branch set of the power grid according to the number of occurrences of the branch included in the shortest path, wherein the power grid branch impedance includes the transmission line reactance and transformer leakage reactance in the power grid power flow simulation element data model;

[0022] A fourth set module, configured to generate a candidate operation mode set according to the basic power grid operation mode and the branches in the candidate branch set;

[0023] A second calculation module is used to calculate the corresponding short-circuit capacity and equivalent capacity based on the short-circuit ratio calculation formula according to the operating parameters of the unqualified bus nodes in the new energy multi-station short-circuit ratio unqualified node set contained in each candidate operating mode in the candidate operating mode set;

[0024] The result output module is used to determine the validity result of each candidate operating mode according to the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of new energy multi-stations contained in each candidate operating mode under the candidate operating mode, and the short-circuit capacity and equivalent capacity under the basic operating mode, and generate a grid optimization adjustment strategy set according to the validity result, wherein the validity result includes a valid operating mode and an invalid operating mode.

[0025] 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.

[0026] 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.

[0027] The grid optimization adjustment method and device for improving the short-circuit ratio of multiple renewable energy stations described in the present invention, wherein the method constructs a grid simulation digital model including multiple renewable energy stations, and based on the short-circuit ratio calculation formula, calculates the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio according to the operating parameters of the bus node of each renewable energy station under the basic grid operation mode; identifies unqualified nodes by short-circuit ratio, divides them into sub-networks, identifies the shortest paths, and determines a candidate branch set; generates a candidate operation mode set according to the basic grid operation mode and the branches in the candidate branch set; determines the effectiveness result of each candidate operation mode according to the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the unqualified node set of the renewable energy multi-station short-circuit ratio contained in each candidate operation mode under the candidate operation mode, as well as the short-circuit capacity and equivalent capacity under the basic operation mode, and generates a grid optimization adjustment strategy set according to the effectiveness result. The method and device identify unqualified bus nodes under the basic operation mode of the power grid, perform sub-network division and shortest path identification, generate candidate operation modes, and then compare the short-circuit capacity and equivalent capacity of the unqualified bus nodes under the candidate operation modes with the change values ​​of the short-circuit capacity and equivalent capacity of the corresponding unqualified bus nodes under the basic operation mode, thereby realizing the automatic generation of effective grid optimization and adjustment strategies for improving the short-circuit ratio of multiple new energy stations, providing technical support for the scientific planning of new power systems and the safe and stable operation of new energy stations, and helping to improve the safe and stable operation level of the power grid and the large-scale safe access level of new energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:

[0029] Figure 1 A flowchart of a grid optimization adjustment method for improving the short-circuit ratio of multiple renewable energy stations according to a preferred embodiment of the present invention;

[0030] Figure 2 It is a structural schematic diagram of a grid optimization and adjustment device for improving the short-circuit ratio of multiple renewable energy stations according to a preferred embodiment of the present invention;

[0031] Figure 3 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 The flowchart of the grid optimization adjustment method for improving the short-circuit ratio of multiple renewable energy stations according to the preferred embodiment of the present invention is shown in FIG. Figure 1 As shown, the flowchart of the grid optimization adjustment method for improving the short-circuit ratio of multiple renewable energy stations described in this preferred embodiment starts from step 101.

[0036] In step 101, a power grid simulation digital model including multiple renewable energy stations is constructed, wherein the power grid simulation digital model includes a power grid flow simulation component data model and a power grid stability simulation component data model, the power grid flow simulation component data model constitutes a basic power grid operation mode, the power grid flow simulation component data model includes a renewable energy station model, and the renewable energy station model includes a renewable energy power generation unit.

[0037] In this preferred embodiment, the power grid flow simulation component data model includes the following models: ① transmission line model, parameters include resistance, reactance, conductance, and susceptance; ② transformer model, parameters include leakage reactance, ratio, and tap position; ③ generator model, parameters include active output value and reactive output value; ④ load model, parameters include active value and reactive value; ⑤ new energy station model, including new energy power generation unit bus node information (including node name, node type, reference voltage, node partition, maximum active output of new energy equipment, actual active output of new energy equipment), line information (including line name, line rated current, resistance per unit value, reactance per unit value, and earth susceptance, covering the connection lines between each new energy equipment and the collection station), transformer information (including transformer name, rated capacity, leakage reactance, transformer tap position, covering the box transformer and step-up transformer connected to each new energy equipment). The power grid flow simulation component data model used for the calculation of the short-circuit ratio of multiple new energy stations constitutes the basic power grid operation mode, which is marked as S0. Through the power grid flow simulation component data model, the system nominal voltage, self-impedance, injected renewable energy apparent power, mutual impedance between bus nodes, conjugate of operating voltage, etc. of the bus node can be determined by flow calculation.

[0038] The grid stability simulation element data model includes: a generator model, an excitation system model, a stabilizer model, a speed regulator and prime mover model, and a new energy model, wherein the new energy model includes a general model of a fixed-speed wind turbine set, a general model of a doubly-fed type wind turbine set, a general model of a direct-drive type wind turbine set, a photovoltaic power generation model, and an energy storage system model.

[0039] In step 102, based on the short-circuit ratio calculation formula, the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio are calculated according to the operating parameters of the bus node of each new energy station under the basic power grid operation mode, wherein the bus node of each new energy station includes the low-voltage node of the new energy power generation unit and the grid-connected high-voltage node of each new energy station, and the operating parameters include the system nominal voltage of the bus node, the conjugate of the actual operating voltage, the apparent power of the new energy injected into the power grid, and the self-impedance and the mutual impedance with other bus nodes.

[0040] Preferably, the short-circuit ratio calculation formula is based on the operation parameters of the bus node of each new energy station under the basic power grid operation mode to calculate the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio, wherein the short-circuit ratio calculation formula is:

[0041]

[0042] Where, MRSCR i It represents the short-circuit ratio of the bus node i of the new energy station; represents the system nominal voltage of bus node i; They represent the conjugate of the actual operating voltage of bus node i and bus node j respectively; 1≤i,j≤N, N is the total number of bus nodes in the power grid, i, j, N are all natural numbers, They represent the actual apparent power of the new energy injected into the bus node i and the bus node point respectively; represents the complex power conversion factor between bus node i and bus node j, represents the self-impedance of busbar node i, Sk represents the mutual impedance between busbar node i and busbar node j, i Represents the short-circuit capacity of busbar node i; Se i Represents the equivalent capacity of bus node i.

[0043] In this preferred embodiment, the calculation formula for calculating the short-circuit ratio of multiple renewable energy stations in the power grid is the same. Therefore, it is only necessary to know the operating parameter values ​​of the power grid in different operating modes to determine the short-circuit capacity, equivalent capacity and short-circuit ratio in the corresponding operating mode based on the short-circuit ratio calculation formula, wherein the operating parameter values ​​of the power grid in different operating modes are obtained by performing flow calculations in the corresponding operating modes.

[0044] In step 103, based on the set unqualified node judgment rules, the unqualified nodes of the short-circuit ratio of multiple new energy stations are determined according to the short-circuit ratio of the bus nodes of each new energy station under the basic power grid operation mode, and a set of unqualified nodes of the short-circuit ratio of multiple new energy stations is generated.

[0045] Preferably, the unqualified node judgment rule based on the setting is used to determine the unqualified nodes of the new energy multi-station short circuit ratio according to the short circuit ratio of the bus node of each new energy station under the basic power grid operation mode, and generate a set of unqualified nodes of the new energy multi-station short circuit ratio, wherein the expression of the unqualified node judgment rule is:

[0046]

[0047] Where, MRSCR Li It is the short-circuit ratio when the busbar node i of the new energy station is the low-voltage node of the new energy power generation unit, MRSCR Hi is the short-circuit ratio when the bus node i of the new energy station is the grid-connected high-voltage node of the new energy station, Th1 and Th2 are the set short-circuit ratio division thresholds, Th1 and Th2 are both positive numbers, and Th1<Th2;

[0048] When the short-circuit ratio of bus node i under the basic power grid operation mode meets the unqualified node judgment rule, bus node i is determined to be an unqualified node for the short-circuit ratio of the new energy multi-station;

[0049] Generate the unqualified node set B of the new energy multi-station short-circuit ratio according to the r busbar nodes that meet the unqualified node criterion L , where B L = {B Ln |1≤n≤r}, n, r are both natural numbers.

[0050] In step 104, based on the set sub-network grouping rules, at least one sub-network set is generated according to the mutual impedance modulus values ​​of any two bus nodes in the new energy multi-station short-circuit ratio unqualified node set and the set modulus threshold.

[0051] Preferably, the subnetwork grouping rule based on the setting generates at least one subnetwork set according to the mutual impedance modulus of any two bus nodes in the new energy multi-station short-circuit ratio unqualified node set and the set modulus threshold, wherein the subnetwork grouping rule is:

[0052] Z ab ≥Z min

[0053] In the formula, Z ab is the mutual impedance modulus between bus nodes a and b in the short-circuit ratio unqualified node set of new energy multi-stations, 1≤a,b≤r, r is the total number of bus nodes in the short-circuit ratio unqualified node set of new energy multi-stations, a, b, r are all natural numbers, Z min is the modulus threshold to be set, which is a positive number;

[0054] When there are c pairs of busbar nodes in the set of nodes with unqualified short-circuit ratios of new energy multi-stations, and the mutual impedance modulus values ​​under the basic power grid operation mode meet the sub-network grouping rules, the c pairs of busbar nodes are exhaustedly permuted and combined to generate k sub-network sets, among which the d-th sub-network set is marked as D d , D d contains at least one pair of busbar nodes, 1≤d≤k, d and k are both natural numbers.

[0055] In step 105, for any two bus nodes in each sub-network set, the shortest path between the two bus nodes is calculated based on the grid branch impedance between the two bus nodes, and a candidate branch set of the grid is determined based on the number of occurrences of the branches included in the shortest path, wherein the grid branch impedance includes the transmission line reactance and transformer leakage reactance in the grid power flow simulation element data model.

[0056] Preferably, for any two bus nodes in each sub-network set, the shortest path between the two bus nodes is calculated according to the impedance of the power grid branch between the two bus nodes, and a candidate branch set of the power grid is determined according to the number of occurrences of the branches included in the shortest path, including:

[0057] Step 2-1: For the d-th subnetwork set, label it as D d A set of k sub-networks, initialized with d = 1;

[0058] Step 2-2: When the subnetwork set D d When there are u busbar nodes in the system, for any two buses, bus node pairs, where u≤r, r is the total number of bus nodes in the set of nodes with unqualified short-circuit ratios of multiple renewable energy stations, and C represents the combination calculation in mathematics;

[0059] Step 2-3: For sub-network set D d In The shortest communication path between any bus node pairs is obtained by using the Bidirectional Dijkstra algorithm. busbar node pairs Group shortest paths, where each group of shortest paths consists of several branches;

[0060] Step 2-4: According to The branch generation subnetwork set D contained in the group shortest path d The key branch set L d ;

[0061] Step 2-5: Count the key branch set L d The number of times each branch appears in the network is calculated, and the branches are arranged from most to least according to the number of times, and the branch with the most appearances is inserted into the candidate branch set L c If the critical branch set L d If there are multiple branches that appear the most times, they will be inserted into the candidate branch set L at the same time. C middle;

[0062] Step 2-6: Update d=d+1. If d≤k, go to step 2-2; if d>k, go to step 2-7;

[0063] Step 2-7: Organize and form a candidate branch set L C ={L 1.max L 2.max … L k.max … L (k+x).max}, where x represents the number of branches that need to be added when there are multiple branches with the highest number of occurrences in the critical branch set.

[0064] In this preferred implementation, for the sub-network set D d In A pair of bus nodes is identified, and the grid branch impedance is used as the distance measure between the bus node pairs. The Bidirectional Dijkstra algorithm is used to identify the shortest communication path between any bus node pairs. The specific implementation method is to take one of the bus nodes in the bus node pair as the starting point and add it to the forward queue, and take the other bus node as the end point and add it to the backward queue. Under the basic grid operation mode, the shortest path between the two bus nodes is obtained by forward and backward searching.

[0065] In step 106 , a candidate operating mode set is generated according to the basic power grid operating mode and the branches in the candidate branch set.

[0066] Preferably, generating a candidate operating mode set according to the basic power grid operating mode and the branches in the candidate branch set includes:

[0067] Assume that the basic power grid operation mode is S0 and the candidate branch set is L C ={L 1.max L 2.max … L k.max …L (k+x).max},but:

[0068] Remove set L from S0 C For any branch in the in:

[0069]

[0070] In S0, the set L C Any branch in the expansion is expanded once to generate an operation mode set containing expansion measures in:

[0071]

[0072] Run Mode Set Find the union and obtain the candidate operation mode set S containing 2(k+x) candidate operation modes C ,in:

[0073]

[0074] In the formula, S f is the f-th candidate operating mode, 1≤f≤2(k+x), 2(k+x) is the total number of candidate operating modes.

[0075] In step 107, based on the short-circuit ratio calculation formula, the corresponding short-circuit capacity and equivalent capacity are calculated according to the operating parameters of the unqualified bus nodes in the new energy multi-station short-circuit ratio unqualified node set contained in each candidate operating mode in the candidate operating mode set.

[0076] In step 108, the effectiveness result of each candidate operating mode is determined based on the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the set of unqualified nodes with new energy multi-station short-circuit ratios contained in each candidate operating mode under the candidate operating mode, as well as the short-circuit capacity and equivalent capacity under the basic operating mode, and a grid optimization adjustment strategy set is generated based on the effectiveness results, wherein the effectiveness results include valid operating modes and invalid operating modes.

[0077] Preferably, the determination of the effectiveness result of each candidate operation mode according to the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of new energy multi-stations included in each candidate operation mode under the candidate operation mode, and the short-circuit capacity and equivalent capacity under the basic operation mode, and the generation of a grid optimization adjustment strategy set according to the effectiveness result, includes:

[0078] Step 3-1: For the fth candidate operation mode S f The candidate operation mode set S C , initialize f=1;

[0079] Step 3-2: According to the candidate operation mode S f The unqualified bus nodes in the unqualified node set of the new energy multi-station short-circuit ratio are included in the candidate operation mode S f The short-circuit capacity and equivalent capacity under the basic operation mode are calculated respectively for the candidate operation mode S f The unqualified bus nodes in the unqualified node set of the new energy multi-station short-circuit ratio are included in the candidate operation mode S f The short-circuit capacity change and equivalent capacity change under the condition are calculated as follows:

[0080]

[0081] In the formula, 1≤n≤r, r is the total number of busbar nodes in the short-circuit ratio unqualified node set of new energy multi-stations, Sk fn ,Sk fn , ΔSk fn and ΔSe fn The candidate operation modes S f The nth unqualified bus node in the set of unqualified nodes with short-circuit ratio of multiple renewable energy stations is selected in the candidate operation mode S fShort-circuit capacity, equivalent capacity, short-circuit capacity change value and equivalent capacity change value under Sk f0 and Se f0 The candidate operation modes S f The short-circuit capacity and equivalent capacity of the nth unqualified busbar node in the set of unqualified nodes with short-circuit ratios of multiple renewable energy stations under the basic operation mode;

[0082] Step 3-3: Determine the operation mode S according to the strategy effectiveness criterion f The effectiveness result of the corresponding optimization adjustment strategy, where if the expression of the effectiveness criterion of the strategy is:

[0083] ΔSk fn *Se f0 >ΔSe fn *Sk f0

[0084] When the candidate operation mode S f All unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of multiple renewable energy stations are included in the candidate operation mode S f When the short-circuit capacity change value and equivalent capacity change value under the basic operation mode meet the effectiveness criterion of the strategy, the candidate operation mode S is determined. f The validity result is that the operation mode is valid, and the operation mode S f Mark it as an effective grid optimization adjustment strategy and insert it into the effective grid optimization adjustment strategy set S F When the candidate operation mode S f Any unqualified bus node in the set of unqualified nodes with short-circuit ratio of multiple renewable energy stations is selected in the candidate operation mode S f When the short-circuit capacity change value and the equivalent capacity change value under the basic operation mode do not meet the effectiveness criterion of the strategy, determine the candidate operation mode S f The validity result is that the operation mode is invalid, and the candidate operation mode S f Mark as invalid grid optimization adjustment strategy;

[0085] Step 3-4: Let f = f + 1. If f ≤ 2(k + x), go to step 3-2; if f > 2(k + x), go to step 3-5.

[0086] Step 3-5: Gather and generate a set of effective grid optimization adjustment strategies S F .

[0087] The grid optimization and adjustment method for improving the short-circuit ratio of multiple renewable energy stations described in this preferred embodiment constructs a grid simulation digital model including multiple renewable energy stations, and based on the short-circuit ratio calculation formula, calculates the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio according to the operating parameters of the bus node of each renewable energy station under the basic grid operation mode; identifies unqualified nodes through the short-circuit ratio, divides them into sub-networks, identifies the shortest paths, and determines a candidate branch set; generates a candidate operation mode set according to the basic grid operation mode and the branches in the candidate branch set; determines the effectiveness result of each candidate operation mode according to the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of multiple renewable energy stations contained in each candidate operation mode under the candidate operation mode, as well as the short-circuit capacity and equivalent capacity under the basic operation mode, and generates a grid optimization adjustment strategy set according to the effectiveness result. The method realizes the automatic generation of effective grid optimization adjustment strategies for improving the short-circuit ratio of multiple renewable energy stations, provides technical support for the scientific planning of new power systems and the safe and stable operation of renewable energy stations, and is conducive to improving the safe and stable operation level of the power grid and the large-scale safe access level of renewable energy.

[0088] Exemplary Devices

[0089] Figure 2 This is a schematic diagram of the structure of a grid optimization and adjustment device for improving the short-circuit ratio of multiple renewable energy stations according to a preferred embodiment of the present invention. Figure 2 As shown, the grid optimization and adjustment device 200 for improving the short-circuit ratio of multiple new energy stations described in this preferred embodiment includes:

[0090] The model building module 201 is used to build a power grid simulation digital model including multiple renewable energy stations, wherein the power grid simulation digital model includes a power grid flow simulation component data model and a power grid stability simulation component data model, the power grid flow simulation component data model constitutes a basic power grid operation mode, the power grid flow simulation component data model includes a renewable energy station model, and the renewable energy station model includes a renewable energy power generation unit;

[0091] The first calculation module 202 is used to calculate the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio according to the operating parameters of the bus node of each new energy station under the basic power grid operation mode based on the short-circuit ratio calculation formula, wherein the bus node of each new energy station includes the low-voltage node of the new energy power generation unit and the grid-connected high-voltage node of each new energy station, and the operating parameters include the system nominal voltage of the bus node, the conjugate of the actual operating voltage, the apparent power of the new energy injected into the power grid, and the self-impedance and the mutual impedance with other bus nodes;

[0092] The first set module 203 is used to determine the unqualified nodes of the short circuit ratio of the new energy multi-station according to the short circuit ratio of the bus node of each new energy station under the basic power grid operation mode based on the set unqualified node judgment rule, and generate a set of unqualified nodes of the short circuit ratio of the new energy multi-station;

[0093] The second set module 204 is used to generate at least one sub-network set based on the set sub-network grouping rule and according to the mutual impedance modulus values ​​of any two bus nodes in the new energy multi-station short-circuit ratio unqualified node set and the set modulus threshold;

[0094] The third set module 205 calculates the shortest path between the two bus nodes according to the power grid branch impedance between the two bus nodes for any two bus nodes in each sub-network set, and determines the candidate branch set of the power grid according to the number of occurrences of the branch included in the shortest path, wherein the power grid branch impedance includes the transmission line reactance and transformer leakage reactance in the power grid power flow simulation element data model;

[0095] A fourth set module 206, configured to generate a candidate operation mode set according to the basic power grid operation mode and the branches in the candidate branch set;

[0096] The second calculation module 207 is used to calculate the corresponding short-circuit capacity and equivalent capacity based on the short-circuit ratio calculation formula according to the operating parameters of the unqualified bus nodes in the new energy multi-station short-circuit ratio unqualified node set contained in each candidate operating mode in the candidate operating mode set;

[0097] The result output module 208 is used to determine the effectiveness result of each candidate operating mode according to the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the set of unqualified nodes with new energy multi-station short-circuit ratios contained in each candidate operating mode under the candidate operating mode, and the short-circuit capacity and equivalent capacity under the basic operating mode, and generate a grid optimization adjustment strategy set according to the effectiveness result, wherein the effectiveness result includes a valid operating mode and an invalid operating mode.

[0098] Preferably, the first calculation module 202 calculates the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio based on the short-circuit ratio calculation formula according to the operating parameters of the bus node of each new energy station under the basic power grid operation mode, wherein the short-circuit ratio calculation formula is:

[0099]

[0100] Where, MRSCR i It represents the short-circuit ratio of the bus node i of the new energy station; represents the system nominal voltage of bus node i; They represent the conjugate of the actual operating voltage of bus node i and bus node j respectively; 1≤i,j≤N, N is the total number of bus nodes in the power grid, i, j, N are all natural numbers, They represent the actual apparent power of the new energy injected into the bus node i and the bus node point respectively; represents the complex power conversion factor between bus node i and bus node j, represents the self-impedance of busbar node i, Sk represents the mutual impedance between busbar node i and busbar node j, i Represents the short-circuit capacity of busbar node i; Se i Represents the equivalent capacity of bus node i.

[0101] Preferably, the first set module 203 determines the unqualified nodes of the short circuit ratio of multiple new energy stations according to the short circuit ratio of the bus node of each new energy station under the basic power grid operation mode based on the set unqualified node judgment rule, and generates a set of unqualified nodes of the short circuit ratio of multiple new energy stations, wherein the expression of the unqualified node judgment rule is:

[0102]

[0103] Where, MRSCR Li It is the short-circuit ratio when the busbar node i of the new energy station is the low-voltage node of the new energy power generation unit, MRSCR Hi is the short-circuit ratio when the bus node i of the new energy station is the grid-connected high-voltage node of the new energy station, Th1 and Th2 are the set short-circuit ratio division thresholds, Th1 and Th2 are both positive numbers, and Th1<Th2;

[0104] When the short-circuit ratio of bus node i under the basic power grid operation mode meets the unqualified node judgment rule, bus node i is determined to be an unqualified node for the short-circuit ratio of the new energy multi-station;

[0105] Generate the unqualified node set B of the new energy multi-station short-circuit ratio according to the r busbar nodes that meet the unqualified node criterion L , where B L = {B Ln |1≤n≤r}, n, r are both natural numbers.

[0106] Preferably, the second set module 204 generates at least one sub-network set based on the set sub-network grouping rule, according to the mutual impedance modulus of any two bus nodes in the new energy multi-station short-circuit ratio unqualified node set and the set modulus threshold, wherein the sub-network grouping rule is:

[0107] Z ab ≥Z min

[0108] In the formula, Z ab is the mutual impedance modulus between bus nodes a and b in the short-circuit ratio unqualified node set of new energy multi-stations, 1≤a,b≤r, r is the total number of bus nodes in the short-circuit ratio unqualified node set of new energy multi-stations, a, b, r are all natural numbers, Z min is the modulus threshold to be set, which is a positive number;

[0109] When there are c pairs of busbar nodes in the set of nodes with unqualified short-circuit ratios of new energy multi-stations, and the mutual impedance modulus values ​​under the basic power grid operation mode meet the sub-network grouping rules, the c pairs of busbar nodes are exhaustedly permuted and combined to generate k sub-network sets, among which the d-th sub-network set is marked as D d , D d contains at least one pair of busbar nodes, 1≤d≤k, d and k are both natural numbers.

[0110] Preferably, the third set module 205 calculates the shortest path between the two bus nodes according to the power grid branch impedance between the two bus nodes for any two bus nodes in each sub-network set, and determines the candidate branch set of the power grid according to the number of occurrences of the branches included in the shortest path, including:

[0111] Step 2-1: For the d-th subnetwork set, label it as D d A set of k sub-networks, initialized with d = 1;

[0112] Step 2-2: When the subnetwork set D d When there are u busbar nodes in the system, for any two buses, bus node pairs, where u≤r, r is the total number of bus nodes in the set of nodes with unqualified short-circuit ratios of multiple renewable energy stations, and C represents the combination calculation in mathematics;

[0113] Step 2-3: For sub-network set D d In The shortest communication path between any bus node pairs is obtained by using the Bidirectional Dijkstra algorithm. busbar node pairs Group shortest paths, where each group of shortest paths consists of several branches;

[0114] Step 2-4: According to The branch generation subnetwork set D contained in the group shortest path d The key branch set L d ;

[0115] Step 2-5: Count the key branch set L d The number of times each branch appears in the network is calculated, and the branches are arranged from most to least according to the number of times, and the branch with the most appearances is inserted into the candidate branch set L c If the critical branch set L d If there are multiple branches that appear the most times, they will be inserted into the candidate branch set L at the same time. C middle;

[0116] Step 2-6: Update d=d+1. If d≤k, go to step 2-2; if d>k, go to step 2-7;

[0117] Step 2-7: Organize and form a candidate branch set L C ={L 1.max L 2.max … L k.max … L (k+x).max}, where x represents the number of branches that need to be added when there are multiple branches with the highest number of occurrences in the critical branch set.

[0118] Preferably, the fourth set module 206 generates a candidate operation mode set according to the basic power grid operation mode and the branches in the candidate branch set, including:

[0119] Assume that the basic power grid operation mode is S0 and the candidate branch set is L C ={L 1.max L 2.max … L k.max …L (k+x).max},but:

[0120] Remove set L from S0 C For any branch in the in:

[0121]

[0122] In S0, the set L C Any branch in the expansion is expanded once to generate an operation mode set containing expansion measures in:

[0123]

[0124] Run Mode Set Find the union and obtain the candidate operation mode set S containing 2(k+x) candidate operation modes C ,in:

[0125]

[0126] In the formula, S f is the f-th candidate operating mode, 1≤f≤2(k+x), 2(k+x) is the total number of candidate operating modes.

[0127] Preferably, the result output module 208 determines the effectiveness result of each candidate operation mode according to the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of new energy multi-stations contained in each candidate operation mode under the candidate operation mode, and the short-circuit capacity and equivalent capacity under the basic operation mode, and generates a grid optimization adjustment strategy set according to the effectiveness result, including:

[0128] Step 3-1: For the fth candidate operation mode S f The candidate operation mode set S C , initialize f=1;

[0129] Step 3-2: According to the candidate operation mode S f The unqualified bus nodes in the unqualified node set of the new energy multi-station short-circuit ratio are included in the candidate operation mode S f The short-circuit capacity and equivalent capacity under the basic operation mode are calculated respectively for the candidate operation mode S f The unqualified bus nodes in the unqualified node set of the new energy multi-station short-circuit ratio are included in the candidate operation mode S f The short-circuit capacity change and equivalent capacity change under the condition are calculated as follows:

[0130]

[0131] In the formula, 1≤n≤r, r is the total number of busbar nodes in the short-circuit ratio unqualified node set of new energy multi-stations, Sk fn 、Se fn , ΔSk fn and ΔSe fn The candidate operation modes S f The nth unqualified bus node in the set of unqualified nodes with short-circuit ratio of multiple renewable energy stations is selected in the candidate operation mode S f Short-circuit capacity, equivalent capacity, short-circuit capacity change value and equivalent capacity change value under Sk f0 and Se f0 The candidate operation modes S f The short-circuit capacity and equivalent capacity of the nth unqualified busbar node in the set of unqualified nodes with short-circuit ratios of multiple renewable energy stations under the basic operation mode;

[0132] Step 3-3: Determine the operation mode S according to the strategy effectiveness criterion fThe effectiveness result of the corresponding optimization adjustment strategy, where if the expression of the effectiveness criterion of the strategy is:

[0133] ΔSk fn *Se f0 >ΔSe fn *Sk f0

[0134] When the candidate operation mode S f All unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of multiple renewable energy stations are included in the candidate operation mode S f When the short-circuit capacity change value and equivalent capacity change value under the basic operation mode meet the effectiveness criterion of the strategy, the candidate operation mode S is determined. f The validity result is that the operation mode is valid, and the operation mode S f Mark it as an effective grid optimization adjustment strategy and insert it into the effective grid optimization adjustment strategy set S F When the candidate operation mode S f Any unqualified bus node in the set of unqualified nodes with short-circuit ratio of multiple renewable energy stations included in the candidate operation mode S f When the short-circuit capacity change value and the equivalent capacity change value under the basic operation mode do not meet the effectiveness criterion of the strategy, determine the candidate operation mode S f The validity result is that the operation mode is invalid, and the candidate operation mode S f Mark as invalid grid optimization adjustment strategy;

[0135] Step 3-4: Let f=f+1. If f≤2(k+x), go to step 3-2; if f>2(k+x), go to step 3-5;

[0136] Step 3-5: Gather and generate a set of effective grid optimization adjustment strategies S F .

[0137] The grid optimization and adjustment device for improving the short-circuit ratio of multiple renewable energy stations described in this preferred embodiment constructs a grid simulation digital model including multiple renewable energy stations, calculates the short-circuit ratio, identifies unqualified nodes, divides sub-networks, generates a set of candidate operating modes, and compares the short-circuit capacity change values ​​and equivalent capacity change values ​​under the candidate operating modes and the basic grid operating modes to generate a set of grid optimization adjustment strategies. The steps are the same as those taken by the grid optimization and adjustment method for improving the short-circuit ratio of multiple renewable energy stations described in the present invention, and the technical effects achieved are also the same, which will not be repeated here.

[0138] Exemplary Electronic Devices

[0139] Figure 3 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 3 FIG. 1 is a block diagram of an electronic device according to an embodiment of the present disclosure. Figure 3 As shown, the electronic device includes one or more processors 301 and a memory 302 .

[0140] The processor 301 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.

[0141] The memory 302 may include one or more computer program products, which 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 301 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 303 and an output device 304, which are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0142] In addition, the input device 303 may also include, for example, a keyboard, a mouse, and the like.

[0143] The output device 304 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.

[0144] Of course, to simplify, Figure 3 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.

[0145] Exemplary computer program products and computer-readable storage media

[0146] 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 of the grid optimization adjustment method for improving the short-circuit ratio of multiple new energy stations according to various embodiments of the present disclosure described in the above-mentioned "Exemplary Method" section of this specification.

[0147] 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.

[0148] In addition, an embodiment of the present disclosure may also be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, enables the processor to execute the steps of the grid optimization adjustment method for improving the short-circuit ratio of multiple new energy stations according to various embodiments of the present disclosure described in the above “Exemplary Method” section of this specification.

[0149] 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.

[0150] 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.

[0151] 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 system 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.

[0152] 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.

[0153] The method and apparatus of the present disclosure may be implemented in many ways. For example, the method and apparatus 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.

[0154] 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.

[0155] 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 grid optimization adjustment method for improving the short-circuit ratio of multiple renewable energy stations, characterized in that: The method comprises: Step 1-1, constructing a power grid simulation digital model including multiple renewable energy stations, wherein the power grid simulation digital model includes a power grid flow simulation component data model and a power grid stability simulation component data model, the power grid flow simulation component data model constitutes a basic power grid operation mode, the power grid flow simulation component data model includes a renewable energy station model, and the renewable energy station model includes a renewable energy power generation unit; Step 1-2, based on the short-circuit ratio calculation formula, calculate the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio according to the operating parameters of the bus node of each new energy station under the basic power grid operation mode, wherein the bus node of each new energy station includes the low-voltage node of the new energy power generation unit and the grid-connected high-voltage node of each new energy station, and the operating parameters include the system nominal voltage of the bus node, the conjugate of the actual operating voltage, the apparent power of the new energy injected into the power grid, and the self-impedance and the mutual impedance with other bus nodes; Step 1-3, based on the set unqualified node judgment rule, determine the unqualified nodes of the short-circuit ratio of multiple new energy stations according to the short-circuit ratio of the bus nodes of each new energy station under the basic power grid operation mode, and generate a set of unqualified nodes of the short-circuit ratio of multiple new energy stations; Step 1-4, based on the set sub-network grouping rules, generate at least one sub-network set according to the mutual impedance modulus values ​​of any two bus nodes in the new energy multi-station short-circuit ratio unqualified node set and the set modulus threshold value; Step 1-5, for any two bus nodes in each sub-network set, the shortest path between the two bus nodes is calculated according to the power grid branch impedance between the two bus nodes, and the candidate branch set of the power grid is determined according to the number of occurrences of the branch included in the shortest path, wherein the power grid branch impedance includes the transmission line reactance and transformer leakage reactance in the power grid power flow simulation element data model; Step 1-6, generating a candidate operating mode set according to the basic power grid operating mode and the branches in the candidate branch set; Step 1-7, based on the short-circuit ratio calculation formula, calculate the corresponding short-circuit capacity and equivalent capacity according to the operating parameters of the unqualified bus nodes in the new energy multi-station short-circuit ratio unqualified node set contained in each candidate operating mode in the candidate operating mode set; Step 1-8, determine the validity result of each candidate operating mode according to the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of new energy multi-stations contained in each candidate operating mode under the candidate operating mode, and the short-circuit capacity and equivalent capacity under the basic operating mode, and generate a grid optimization adjustment strategy set based on the validity result, wherein the validity result includes a valid operating mode and an invalid operating mode.

2. The method according to claim 1, characterized in that Based on the short-circuit ratio calculation formula, the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio are calculated according to the operating parameters of the bus node of each new energy station under the basic power grid operation mode, wherein the short-circuit ratio calculation formula is: Where, MRSCR i It represents the short-circuit ratio of the bus node i of the new energy station; represents the system nominal voltage of bus node i; They represent the conjugate of the actual operating voltage of bus node i and bus node j respectively; 1≤i,j≤N, N is the total number of bus nodes in the power grid, i, j, N are all natural numbers, They represent the actual apparent power of the new energy injected into the bus node i and the bus node point respectively; represents the complex power conversion factor between bus node i and bus node j, represents the self-impedance of busbar node i, Sk represents the mutual impedance between busbar node i and busbar node j, i Represents the short-circuit capacity of busbar node i; Se i Represents the equivalent capacity of bus node i.

3. The method according to claim 1, characterized in that The unqualified node judgment rule based on the setting is used to determine the unqualified nodes of the short circuit ratio of multiple new energy stations according to the short circuit ratio of the bus node of each new energy station under the basic power grid operation mode, and generate a set of unqualified nodes of the short circuit ratio of multiple new energy stations, wherein the expression of the unqualified node judgment rule is: Where, MRSCR Li It is the short-circuit ratio when the busbar node i of the new energy station is the low-voltage node of the new energy power generation unit, MRSCR Hi is the short-circuit ratio when the bus node i of the new energy station is the grid-connected high-voltage node of the new energy station, Th1 and Th2 are the set short-circuit ratio division thresholds, Th1 and Th2 are both positive numbers, and Th1<Th2; When the short-circuit ratio of bus node i under the basic power grid operation mode meets the unqualified node judgment rule, bus node i is determined to be an unqualified node for the short-circuit ratio of the new energy multi-station; Generate the unqualified node set B of the new energy multi-station short-circuit ratio according to the r busbar nodes that meet the unqualified node criterion L , where B L = {B Ln |1≤n≤r}, n, r are both natural numbers.

4. The method according to claim 1, characterized in that: The sub-network grouping rule based on the setting generates at least one sub-network set according to the mutual impedance modulus of any two bus nodes in the new energy multi-station short-circuit ratio unqualified node set and the set modulus threshold, wherein the sub-network grouping rule is: WITH ab ≥Z min In the formula, Z ab is the mutual impedance modulus between bus nodes a and b in the short-circuit ratio unqualified node set of new energy multi-stations, 1≤a,b≤r, r is the total number of bus nodes in the short-circuit ratio unqualified node set of new energy multi-stations, a, b, r are all natural numbers, Z min is the modulus threshold to be set, which is a positive number; When there are c pairs of busbar nodes in the set of nodes with unqualified short-circuit ratios of new energy multi-stations, and the mutual impedance modulus values ​​under the basic power grid operation mode meet the sub-network grouping rules, the c pairs of busbar nodes are exhaustedly permuted and combined to generate k sub-network sets, among which the d-th sub-network set is marked as D d , D d contains at least one pair of busbar nodes, 1≤d≤k, d and k are both natural numbers.

5. The method according to claim 1, characterized in that For any two bus nodes in each sub-network set, the shortest path between the two bus nodes is calculated according to the impedance of the power grid branch between the two bus nodes, and a candidate branch set of the power grid is determined according to the number of occurrences of the branches included in the shortest path, including: Step 2-1: For the d-th subnetwork set, label it as D d A set of k sub-networks, initialized with d = 1; Step 2-2: When the subnetwork set D d When there are u busbar nodes in the system, for any two buses, bus node pairs, where u≤r, r is the total number of bus nodes in the set of nodes with unqualified short-circuit ratios of multiple renewable energy stations, and C represents the combination calculation in mathematics; Step 2-3: For subnetwork set D d In The shortest communication path between any bus node pairs is obtained by using the Bidirectional Dijkstra algorithm. busbar node pairs Group shortest paths, where each group of shortest paths consists of several branches; Step 2-4: According to The branch generation subnetwork set D contained in the group shortest path d The key branch set L d ; Step 2-5: Count the key branch set L d The number of times each branch appears in the network is calculated, and the branches are arranged from most to least according to the number of times, and the branch with the most appearances is inserted into the candidate branch set L c In; if the key branch set L d If there are multiple branches that appear the most times, they will be inserted into the candidate branch set L at the same time. C middle; Step 2-6: Update d=d+1. If d≤k, go to step 2-2; if d>k, go to step 2-7; Step 2-7: Organize and form a candidate branch set L C ={L 1.max L 2.max … L k.max … L (k+x).max }, where x represents the number of branches that need to be added when there are multiple branches with the highest number of occurrences in the critical branch set.

6. The method according to claim 1, characterized in that The generating a candidate operating mode set according to the basic power grid operating mode and the branches in the candidate branch set includes: Assume that the basic power grid operation mode is S0 and the candidate branch set is L C ={L 1.max L 2.max … L k.max … L (k+x).max },but: Remove set L from S0 C For any branch in the in: In S0, the set L C Any branch in the expansion is expanded once to generate an operation mode set containing expansion measures in: Run Mode Set and Find the union and obtain the candidate operation mode set S containing 2(k+x) candidate operation modes C ,in: In the formula, S f is the f-th candidate operating mode, 1≤f≤2(k+x), 2(k+x) is the total number of candidate operating modes.

7. The method according to claim 1, characterized in that The method of determining the effectiveness result of each candidate operation mode according to the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of new energy multi-stations included in each candidate operation mode under the candidate operation mode, and the short-circuit capacity and equivalent capacity under the basic operation mode, and generating a grid optimization adjustment strategy set according to the effectiveness result, includes: Step 3-1: For the fth candidate operation mode S f The candidate operation mode set S C , initialize f=1; Step 3-2: According to the candidate operation mode S f The unqualified bus nodes in the unqualified node set of the new energy multi-station short-circuit ratio are included in the candidate operation mode S f The short-circuit capacity and equivalent capacity under the basic operation mode are calculated respectively for the candidate operation mode S f The unqualified bus nodes in the unqualified node set of the new energy multi-station short-circuit ratio are included in the candidate operation mode S f The short-circuit capacity change and equivalent capacity change under the condition are calculated as follows: In the formula, 1≤n≤r, r is the total number of busbar nodes in the short-circuit ratio unqualified node set of new energy multi-stations, Sk fn ,Sk fn , ΔSk fn and ΔSe fn The candidate operation modes S f The nth unqualified bus node in the set of unqualified nodes with short-circuit ratio of multiple renewable energy stations is selected in the candidate operation mode S f Short-circuit capacity, equivalent capacity, short-circuit capacity change value and equivalent capacity change value under Sk f0 and Se f0 The candidate operation modes S f The short-circuit capacity and equivalent capacity of the nth unqualified busbar node in the set of unqualified nodes with short-circuit ratios of multiple renewable energy stations under the basic operation mode; Step 3-3: Determine the operation mode S according to the strategy effectiveness criterion f The effectiveness result of the corresponding optimization adjustment strategy, where if the expression of the effectiveness criterion of the strategy is: ΔSk fn *Se f0 >ΔSe fn *Sk f0 When the candidate operation mode S f All unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of multiple renewable energy stations are included in the candidate operation mode S f When the short-circuit capacity change value and equivalent capacity change value under the basic operation mode meet the effectiveness criterion of the strategy, the candidate operation mode S is determined. f The validity result is that the operation mode is valid, and the operation mode S f Mark it as an effective grid optimization adjustment strategy and insert it into the effective grid optimization adjustment strategy set S F When the candidate operation mode S f Any unqualified bus node in the set of unqualified nodes with short-circuit ratio of multiple renewable energy stations is selected in the candidate operation mode S f When the short-circuit capacity change value and the equivalent capacity change value under the basic operation mode do not meet the effectiveness criterion of the strategy, determine the candidate operation mode S f The validity result is that the operation mode is invalid, and the candidate operation mode S f Mark as invalid grid optimization adjustment strategy; Step 3-4: Let f = f + 1. If f ≤ 2(k + x), go to step 3-2; if f > 2(k + x), go to step 3-5. Step 3-5: Gather and generate a set of effective grid optimization adjustment strategies S F .

8. A grid optimization and adjustment device for improving the short-circuit ratio of multiple renewable energy stations, characterized in that: The device comprises: A model building module, used to build a power grid simulation digital model including multiple renewable energy stations, wherein the power grid simulation digital model includes a power grid flow simulation component data model and a power grid stability simulation component data model, the power grid flow simulation component data model constitutes a basic power grid operation mode, the power grid flow simulation component data model includes a renewable energy station model, and the renewable energy station model includes a renewable energy power generation unit; The first calculation module is used to calculate the corresponding short-circuit capacity, equivalent capacity and short-circuit ratio based on the short-circuit ratio calculation formula and the operating parameters of the bus node of each new energy station under the basic power grid operation mode, wherein the bus node of each new energy station includes the low-voltage node of the new energy power generation unit and the grid-connected high-voltage node of each new energy station, and the operating parameters include the system nominal voltage of the bus node, the conjugate of the actual operating voltage, the apparent power of the new energy injected into the power grid, and the self-impedance and the mutual impedance with other bus nodes; The first set module is used to determine the unqualified nodes of the short-circuit ratio of multiple new energy stations based on the set unqualified node judgment rules and the short-circuit ratio of the bus nodes of each new energy station under the basic power grid operation mode, and generate a set of unqualified nodes of the short-circuit ratio of multiple new energy stations; The second set module is used to generate at least one sub-network set based on the set sub-network grouping rules and according to the mutual impedance modulus values ​​of any two bus nodes in the new energy multi-station short-circuit ratio unqualified node set and the set modulus threshold; The third set module calculates the shortest path between the two bus nodes according to the power grid branch impedance between the two bus nodes for any two bus nodes in each sub-network set, and determines the candidate branch set of the power grid according to the number of occurrences of the branch included in the shortest path, wherein the power grid branch impedance includes the transmission line reactance and transformer leakage reactance in the power grid power flow simulation element data model; A fourth set module, configured to generate a candidate operation mode set according to the basic power grid operation mode and the branches in the candidate branch set; A second calculation module is used to calculate the corresponding short-circuit capacity and equivalent capacity based on the short-circuit ratio calculation formula according to the operating parameters of the unqualified bus nodes in the new energy multi-station short-circuit ratio unqualified node set contained in each candidate operating mode in the candidate operating mode set; The result output module is used to determine the validity result of each candidate operating mode according to the short-circuit capacity and equivalent capacity of the unqualified bus nodes in the set of unqualified nodes with short-circuit ratio of new energy multi-stations contained in each candidate operating mode under the candidate operating mode, and the short-circuit capacity and equivalent capacity under the basic operating mode, and generate a grid optimization adjustment strategy set according to the validity result, wherein the validity result includes a valid operating mode and an invalid operating mode.

9. 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 7.

10. 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 7.

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