Multi-dimensional evaluation method based on new energy station wiring scheme

Abstract

The invention proposes a multi-dimensional evaluation method based on a new energy station wiring scheme, and the method comprises the steps: extracting a new energy station grid-connected access wiring scene, carrying out the classification according to a station main body organization mode, an access node position and an access structure mode, and constructing a three-dimensional index system for economical efficiency, reliability and settlement convenience. Node classification and multi-scene simulation analysis are combined, modeling is carried out on a related power plant and a power grid, unit optimization is carried out with the minimum cost, index characteristics of multiple dimensions such as economy, reliability and settlement convenience are analyzed respectively and comprehensively, and an optimal wiring mode under specific conditions is obtained through influence factor changes. According to the method, the application boundary of different station organization modes in the aspect of metering and settlement convenience is defined, and a quantifiable decision basis is provided for a power grid enterprise in the new energy station grid connection and power grid planning process.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power system planning, and particularly relates to a multi-dimensional evaluation method based on a new energy station wiring scheme. BACKGROUND

[0002] With the continuous development of green energy, electric energy has gradually become a mainstream energy, and the use requirements of the power system are gradually increasing, bringing new challenges to the planning and operation management of the power grid access scheme in terms of flexibility, adequacy, safety, etc. However, the traditional power grid access mode is difficult to adapt to the diversified grid connection demand of new energy stations. In addition, the metering settlement mechanism and multi-subject equity distribution problem of the power grid integration scheme are increasingly prominent, and the proportion of new energy grid connection metering settlement disputes is also on the rise.

[0003] In the prior art, the grid integration access scheme mainly focuses on the selection of the grid connection node, and the grid structure, substation distribution, load distribution, and substation capacity are evaluated. The existing evaluation method does not consider the influence of the specific new energy station grid connection and the related humanities, ignores the multi-dimensional factors of the coupling relationship between the access node and the transmission network, and lacks consideration of the key of the access node. Therefore, the existing evaluation dimension of the wiring scheme of the new energy station for power grid access is relatively single, and the evaluation effect of the wiring scheme of the power grid access is not good. SUMMARY

[0004] The present application provides a multi-dimensional evaluation method based on a new energy station wiring scheme, which aims to enrich the evaluation dimension of the new energy station wiring scheme and improve the evaluation effect of the wiring scheme of the power grid access.

[0005] Specifically, in view of the deficiencies in the prior art that the new energy station grid connection scheme does not consider the node key, the influence of the specific new energy station grid connection, and the lack of in-depth analysis of the actual demand for property clarity and metering independence in complex scenarios such as multi-subject access, a new energy station multi-dimensional grid connection scheme evaluation method considering node classification is proposed. The method starts from the new energy station grid connection scheme, extracts typical scenarios of new energy station access, classifies nodes based on IEEE standard node model and unit model, selects typical nodes to carry out unit combination and operation simulation, analyzes the multi-dimensional characteristics of new energy stations under different nodes and access schemes based on simulation, thereby comprehensively identifying the advantages and disadvantages of various grid connection schemes, and providing decision basis for high-quality grid connection and power grid planning after evaluation.

[0006] To achieve the above-mentioned purpose, the present application provides a multi-dimensional evaluation method based on a new energy station wiring scheme, comprising:

[0007] Collect wiring scheme sample data of grid-connected access schemes of new energy station;

[0008] According to the wiring scheme sample data, the wiring scheme of the new energy station is classified to obtain a classified wiring scheme;

[0009] Collect grid-connected index data of the new energy station, and construct a multi-dimensional evaluation index for evaluating the new energy station according to grid-connected characteristics in the grid-connected index data, wherein the multi-dimensional evaluation index at least includes an economic index, a reliability index and a settlement convenience index;

[0010] According to the multi-dimensional evaluation index and the classified wiring scheme, simulation training is performed to generate grid-connected access simulation data corresponding to different wiring schemes, and a power grid model is created according to the grid-connected access simulation data;

[0011] Based on the power grid model, the wiring scheme of the current grid-connected access is evaluated and calculated according to the multi-dimensional evaluation index to determine a multi-dimensional evaluation result corresponding to the multi-dimensional evaluation index, wherein the multi-dimensional evaluation result includes evaluation results corresponding to dimensions of economic efficiency, reliability and settlement convenience.

[0012] In the preferred embodiment of the present application, the classified wiring scheme includes a plurality of access schemes classified according to different main organization modes, access node positions and access structure modes;

[0013] According to the main organization mode of the new energy station, the new energy wiring scene includes typical forms of bundled access and multi-subject access;

[0014] According to the access node position of the new energy station, the new energy wiring scene includes access to the main power transmission network, access to the regional power distribution network, access to the low-voltage power distribution network and access to the load side node;

[0015] According to the access structure mode of the new energy station, the new energy wiring scene includes direct access, series access, T-type access and Π-type access.

[0016] In the preferred embodiment of the present application, the step of classifying the wiring scheme of the new energy station according to the wiring scheme sample data to obtain the classified wiring scheme includes:

[0017] Calculate the feature vector centrality of each wiring scheme in the wiring scheme sample data;

[0018] According to the feature vector centrality, each wiring scheme in the wiring scheme sample data is classified to determine the classified wiring scheme.

[0019] In the preferred embodiment of the present application, each connection scheme includes at least one connection node, and each connection scheme has different connection relationship or topology for different connection nodes;

[0020] The step of calculating the eigenvector centrality of each connection scheme in the connection scheme sample data includes:

[0021] According to the connection relationship or topology of different connection nodes in the connection scheme, the local node eigenvalue in the connection scheme is calculated;

[0022] The calculation formula of the local node eigenvalue is: ;

[0023] Among them, the local node eigenvalue is ; N is the number of nodes in the connection scheme.

[0024] According to the local node eigenvalue, the global node eigenvalue is calculated;

[0025] The calculation formula of the global node eigenvalue is: ;

[0026] Among them, the global node eigenvalue is ; The number of shortest paths between two adjacent nodes i and j is ;

[0027] According to the global node eigenvalue, the eigenvector centrality corresponding to the connection scheme is calculated;

[0028] The calculation formula of the eigenvector centrality corresponding to the connection scheme is: ;

[0029] Among them, the eigenvector centrality is ; The eigenvalue corresponding to the adjacency matrix is

[0030] In the preferred embodiment of the present application, the multi-dimensional evaluation index includes an economic index, the economic index includes an investment cost and a daily income, and the multi-dimensional evaluation result includes an evaluation result of the economic index;

[0031] The step of calculating the multi-dimensional evaluation index based on the power grid model to determine the multi-dimensional evaluation result corresponding to the multi-dimensional evaluation index includes:

[0032] The investment cost of the connection scheme of the new energy station connected to the grid at this time is calculated;

[0033] calculate daily income of the connection scheme of the new energy station when being connected to the grid;

[0034] determine the evaluation result of the economic index of the connection scheme of the new energy station when being connected to the grid according to the investment cost and the daily income.

[0035] In the preferred embodiment of the present application, the evaluation and calculation of the multi-dimensional evaluation index of the connection scheme when being connected to the grid based on the power grid model further comprises:

[0036] The investment cost comprises total line investment, in-plant step-up equipment and power plant investment, and the investment cost is calculated by considering a depreciation formula;

[0037] The calculation formula of the investment cost is:

[0038] Among them, the line investment, the substation investment and the power plant investment are respectively in yuan; , , is the residual value rate; is the service life, in years; is a line set;

[0039] The daily income is the product of the on-grid price and the daily power generation capacity minus the operation cost, wherein the operation cost comprises grid loss and power plant operation and maintenance cost;

[0040] The calculation formula of the operation cost is:

[0041]

[0042] Among them, is the power generation capacity of the i-th unit at t time, in MW; is the on-grid loss rate; is the time interval, in hours; is the on-grid price, in yuan / MWh; M is the power generation project operation and maintenance cost, in yuan; is a set of generator units.

[0043] In the preferred embodiment of the present application, the multi-dimensional evaluation index comprises a reliability index, the reliability index comprises a resilience and robustness index composed of expected unsupplied power and annual average outage time, and the multi-dimensional evaluation result comprises the evaluation result of the reliability index;

[0044] ​​The step of performing multi-dimensional evaluation index evaluation calculation on the wiring scheme of the new energy station for the current grid connection based on the power grid model to determine the multi-dimensional evaluation result corresponding to the multi-dimensional evaluation index comprises:

[0045] The reliability index is calculated according to the resilience index constituted by the expected unsupplied power and the annual average power outage time;

[0046] The calculation formula of the resilience index is:

[0047]

[0048] Among them, the is the average power of the node i, and the unit is MW; is the stop point duration, is the fault probability of the element device connected at the node; is the number of users of the node i, and the unit is house; is the number of nodes, is the annual cumulative outage time of the users of the node i, is the total load power.

[0049] In the preferred embodiment of the present application, the multi-dimensional evaluation index includes a convenience index, and the convenience index includes an ownership partitioning clarity OCI and a gateway independence MIS;

[0050] The step of performing multi-dimensional evaluation index evaluation calculation on the wiring scheme of the new energy station for the current grid connection based on the power grid model to determine the multi-dimensional evaluation result corresponding to the multi-dimensional evaluation index comprises:

[0051] The ownership partitioning clarity OCI of the wiring scheme of the new energy station for the current grid connection is calculated.

[0052] The gateway independence MIS of the wiring scheme of the new energy station for the current grid connection is calculated.

[0053] The evaluation result of the convenience index of the wiring scheme of the new energy station is determined according to the ownership partitioning clarity OCI and the gateway independence MIS.

[0054] In the preferred embodiment of the present application, the step of performing multi-dimensional evaluation index evaluation calculation on the wiring scheme of the new energy station for the current grid connection based on the power grid model to determine the multi-dimensional evaluation result corresponding to the multi-dimensional evaluation index further comprises:

[0055] The ownership partitioning clarity measures the grid connection topology complexity according to the number of different enterprises connected to the same line, and the smaller the index is, the more complex it is;

[0056] The calculation formula of the ownership partitioning clarity is:

[0057] wherein the is the number of enterprises accessed under the i-th node; is the maximum number of enterprises allowed;

[0058] The gateway independence is measured by the ratio of the total number of system independent metering points and the total number of metering points to measure the complexity of metering management;

[0059] The calculation formula of the gateway independence is

[0060] wherein the is the number of independent metering points, is the total number of metering points.

[0061] In the preferred embodiment of the present application, after the step of determining the multi-dimensional evaluation result corresponding to the multi-dimensional evaluation index, the node classification multi-dimensional evaluation method based on the new energy station connection scheme further comprises:

[0062] Respectively analyzing and comprehensively analyzing the index characteristics of the multi-dimensional evaluation result, and determining the corresponding adjustment suggestion;

[0063] According to the adjustment suggestion, determining the target grid connection scheme.

[0064] The one or more technical solutions proposed in the present application have at least the following technical effects:

[0065] The present application collects the connection scheme sample data of the grid connection access scheme of the new energy station; according to the connection scheme sample data, classifies the connection scheme of the new energy station to obtain the classified connection scheme; collects the grid connection index data of the new energy station, and according to the grid connection characteristics in the grid connection index data, constructs multi-dimensional evaluation indexes for evaluating the new energy station, wherein the multi-dimensional evaluation indexes at least include economic indexes, reliability indexes and settlement convenience indexes; according to the multi-dimensional evaluation indexes and the classified connection scheme, performs simulation training to generate grid connection access simulation data corresponding to different connection schemes, and creates a power grid model according to the grid connection access simulation data; based on the power grid model, performs evaluation calculation of the multi-dimensional evaluation indexes on the connection scheme of the current grid connection access, and determines the multi-dimensional evaluation result corresponding to the multi-dimensional evaluation indexes, wherein the multi-dimensional evaluation result includes evaluation results corresponding to the dimensions of economic efficiency, reliability and settlement convenience.

[0066] Compared with the prior art, the application builds a multi-dimensional evaluation index of economy, reliability and settlement convenience, and carries out multi-scene simulation analysis combined with the classification of access nodes in different wiring schemes, thereby creating a power grid model which can effectively identify the advantages and disadvantages of various grid-connected access schemes in different dimensions, and based on the power grid model, the current access scheme is evaluated according to the multi-dimensional evaluation index, and the corresponding multi-dimensional evaluation result is obtained. Therefore, not only the influence law of the access structure on the system economy and reliability is revealed, but also the applicable boundary of different station organization modes in the aspect of metering and settlement convenience is determined, which provides quantifiable decision basis for power grid enterprises in the process of new energy station grid connection and power grid planning. Compared with the existing evaluation scheme, the application comprehensively evaluates the wiring scheme from multiple dimensions, optimizes the evaluation effect of evaluating the wiring scheme, has higher reference value and application potential, and can significantly improve the scientificity and rationality of the grid connection scheme design. BRIEF DESCRIPTION OF DRAWINGS

[0067] The accompanying drawings, which are incorporated into and form a part of the specification, illustrate an embodiment consistent with the application and, together with the description, serve to explain the principles of the application.

[0068] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the accompanying drawings required to be used in the embodiments or prior art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0069] Figure 1 A flowchart provided for Embodiment One of the multi-dimensional evaluation method based on the new energy station wiring scheme of the application;

[0070] Figure 2 A flowchart provided for Embodiment Two of the multi-dimensional evaluation method based on the new energy station wiring scheme of the application;

[0071] Figure 3 A flowchart provided for Embodiment Three of the multi-dimensional evaluation method based on the new energy station wiring scheme of the application;

[0072] Figure 4 A flowchart provided for Embodiment Four of the multi-dimensional evaluation method based on the new energy station wiring scheme of the application;

[0073] Figure 5 A flowchart provided for Embodiment Five of the multi-dimensional evaluation method based on the new energy station wiring scheme of the application;

[0074] Figure 6A flowchart provided for Embodiment Six of the multi-dimensional evaluation method based on the new energy station wiring scheme of the application is shown in the figure.

[0075] The purposes, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0076] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the application and do not limit the application.

[0077] In order to better understand the technical solutions of the application, the following will be described in detail with reference to the drawings and specific embodiments.

[0078] It should be noted that the execution subject of the embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a resource allocation device, etc. capable of realizing the above functions. The following will take the resource allocation device as an example (hereinafter referred to as the device) to describe the embodiment and the following embodiments.

[0079] Based on this, the embodiment of the application provides a multi-dimensional evaluation method based on a new energy station wiring scheme, which is described in detail with reference to Figure 1 , Figure 1 The flowchart of the first embodiment of the resource allocation method of the application is shown in the figure.

[0080] In the embodiment, the resource allocation method comprises steps S10-S50:

[0081] Step S10, collect wiring scheme sample data of the grid-connected access scheme of the new energy station.

[0082] The wiring scheme sample data refers to a set of basic information related to various wiring methods for supporting scheme analysis and evaluation in the process of grid-connected access of the new energy station. The wiring scheme sample data can record the specific characteristics, technical parameters and related information of different wiring schemes.

[0083] Specifically, the wiring scheme sample data can include: station main body organization related data, access node location data and access structure mode data.

[0084] The station main body organization related data can include: whether the access scene belongs to bundled access (single property subject) or multi-subject access (multiple property subjects), the number of enterprises involved, the property division boundary, etc., which are used to distinguish the wiring characteristics under different subject participation modes.

[0085] The access node location data can include: a power grid level to which the access node belongs (such as a trunk power grid, a regional power distribution grid, a low-voltage power distribution grid, and a load side node), a node number, a voltage level corresponding to the node, a surrounding substation distribution, and a load capacity, and the like, reflecting the spatial positioning characteristics of the connection scheme.

[0086] The access structure mode data can include: a specific connection form (for example, direct access, series access, T-type access, Π-type access, and the like), and physical parameters related to the structure, such as a line type (such as LGJ-300), a line length, a distance between nodes, a distance between a newly built substation and an access node / line, whether line removal is involved, and a removal cost ratio, and the like, embodying the topological structure of the connection and engineering implementation details and the like information.

[0087] In step S10, the basic data of various connection schemes in the process of connecting the new energy substation to the grid can be systematically collected. Specifically, detailed information of the connection scheme in different scenarios needs to be comprehensively collected, including but not limited to: a substation main body organization form (such as bundled access, multi-subject access), a spatial location of an access node (such as a trunk power grid, a regional power distribution grid, a low-voltage power distribution grid, and a load side node), an access structure type (such as direct access, series access, T-type access, Π-type access, and the like), and technical parameters related to the connection scheme (such as a line type, a node number, a distance parameter, a number of subjects involved, and the like). Through the standardized collection of the above sample data, a data foundation is laid for the subsequent classification and evaluation of the connection scheme.

[0088] In the embodiments of the present application, classification can be performed according to the substation main body organization mode, the access node location, and the access structure mode.

[0089] The main body organization form of the new energy substation essentially determines the basic logic of resource allocation, property division, dispatching control, and economic settlement. According to the main body organization form of the new energy substation, the new energy access scene can be divided into two typical forms: bundled access and multi-subject access.

[0090] From the hierarchical structure of the power system, the spatial location of the new energy access node directly affects its effect on system power flow distribution, voltage support, and dispatching control. According to the classification of the access node location, there are mainly access to the trunk power grid, access to the regional power distribution grid, access to the low-voltage power distribution grid, and access to the load side node.

[0091] According to the access structure mode, the currently widely used access structures in engineering practice mainly include direct access, series access, T-type access, and Π-type access.

[0092] In step S20, according to the connection scheme sample data, the connection scheme of the new energy substation is classified to obtain a classified connection scheme.

[0093] The connection scheme of the new energy station is classified according to the preset classification standard, and the classification logic mainly includes three dimensions: (1) classified according to the main organization mode of the station, which can be divided into bundled access (single property subject) and multi-subject access (multiple property subjects); (2) classified according to the access node position, which can be divided into access to the main power transmission network, access to the regional power distribution network, access to the low-voltage power distribution network and access to the load side node; (3) classified according to the access structure mode, which can be divided into direct access, series access, T-type access, Π-type access and other typical forms. Through the above classification, the diversified connection schemes are sorted into categories with clear characteristics, providing a structured framework for evaluating the characteristics of different schemes

[0094] In step S30, the grid-connected index data of the new energy station is collected, and a multi-dimensional evaluation index for evaluating the new energy station is constructed according to the grid-connected characteristics in the grid-connected index data, wherein the multi-dimensional evaluation index at least includes economic index, reliability index and settlement convenience index.

[0095] Economic mainly involves investment cost and daily income, reliability is measured by the toughness of the system, and settlement convenience is mainly affected by the number of access subjects at the same interface and whether the gateway metering point is affected by the metering power of other metering points.

[0096] In step S30, the key index data in the grid-connected process of the new energy station is collected, covering investment cost, power generation, network loss rate, outage time, metering point configuration and other core parameters related to grid-connected operation. Based on the grid-connected characteristics reflected by these data, an evaluation index system including the following three dimensions is constructed. Economic index: including total investment (including line, substation, power plant investment and depreciation cost) and daily income (the product of on-grid price and power generation minus network loss and operation and maintenance cost), used to measure the economic feasibility of the connection scheme; Reliability index: taking system toughness (resilience) as the core, quantified through expected unsupplied power and annual average outage time, reflecting the ability of the system to maintain function and recover normal operation after disturbance; Settlement convenience index: including property segmentation clarity (OCI, i.e. the ratio of the number of node access enterprises to the maximum allowed number) and gateway independence (MIS, i.e. the ratio of independent metering points to total metering points), used to evaluate the convenience of metering settlement and the clarity of rights division in the multi-subject scenario.

[0097] In step S40, according to the multi-dimensional evaluation index and the classified connection scheme, simulation training is performed to generate grid-connected access simulation data corresponding to different connection schemes, and a power grid model is created according to the grid-connected access simulation data.

[0098] In combination with the classified connection scheme and the constructed multi-dimensional evaluation index, simulation training is carried out. Specifically, the output model of the new energy power plant (such as photovoltaic, wind power) and the traditional power plant (considering equipment characteristics, environmental influence, operation constraint, etc.) needs to be established, and the power grid model framework including node power balance, line flow constraint and other elements needs to be constructed; unit commitment simulation is carried out with the minimum cost as the target, the state of different connection schemes in actual operation is simulated, and the grid connection simulation data (such as investment cost, daily income, outage time, ownership clarity index (OCI), metering independence score (MIS), etc.) covering economy, reliability and settlement convenience are generated. Based on the above simulation data, the power grid model consistent with the actual power grid operation rule is finally constructed, which provides a simulation carrier for subsequent evaluation calculation.

[0099] In step S50, based on the power grid model, the multi-dimensional evaluation index of the connection scheme of the current grid connection is evaluated and calculated to determine the multi-dimensional evaluation result corresponding to the multi-dimensional evaluation index, wherein the multi-dimensional evaluation result includes the evaluation result corresponding to the dimension of economy, reliability and settlement convenience.

[0100] Based on the constructed power grid model, the multi-dimensional evaluation index is quantitatively calculated for the current grid connection connection scheme to be evaluated. Specifically, in the economy dimension, the total investment (including depreciation) and daily income are calculated to determine the economic cost and income level of the scheme; in the reliability dimension, the system resilience level is quantified through the expected unsupplied power and the annual average outage time; in the settlement convenience dimension, the ownership clarity index (OCI) and the metering independence score (MIS) are calculated to evaluate the convenience of metering settlement and the clarity of the right division.

[0101] Therefore, based on the above calculation, the multi-dimensional evaluation result covering economy, reliability and settlement convenience is formed, which provides a quantitative decision basis for the optimization selection of the new energy station grid connection scheme.

[0102] Based on the first embodiment of the present application, the second embodiment of the present application is proposed, and the same or similar contents as the above embodiment one can be referred to the above introduction, and the following will not be repeated. On this basis, please refer to Figure 2 In step S20, the connection scheme of the new energy station is classified according to the connection scheme sample data, and the classified connection scheme includes steps S21-S22:

[0103] In step S21, the feature vector centrality of each connection scheme in the connection scheme sample data is calculated.

[0104] The eigenvector centrality is a network analysis index. In different connection schemes, the eigenvector centrality is used to calculate the eigenvector of the network adjacency matrix to evaluate the importance of a node, and the importance of a node in different connection schemes depends not only on the number of directly connected nodes, but also on the importance of the connected nodes.

[0105] In step 21, the node importance features of each connection scheme in the power network are quantified by calculating the eigenvector centrality of the connection scheme sample data. Specifically, for each connection scheme (such as bundled access to the main power grid, multi-agent T-shaped access to the regional distribution network, etc.), a corresponding network adjacency matrix is constructed, and the elements in the matrix represent the connection relationship between the nodes involved in the scheme (such as whether they are directly connected, connection strength, etc.). Then the eigenvector corresponding to the largest eigenvalue of the adjacency matrix is solved, and the value of each element in the eigenvector represents the eigenvector centrality score of the corresponding node. Through this calculation, the network influence of the access node due to the connection relationship with other nodes (especially important nodes) under different connection schemes can be determined, providing a quantitative basis for subsequent classification and evaluation of connection schemes based on node importance.

[0106] In a specific embodiment, the eigenvector centrality of the connection relationship or topology structure corresponding to each connection scheme can be calculated, and the connection scheme can be classified according to the eigenvector centrality.

[0107] Here, each connection scheme has at least one connection node, and each connection scheme has different connection relationships or topologies for different connection nodes. The steps of calculating the eigenvector centrality of each connection scheme in the connection scheme sample data include the following steps:

[0108] (1) According to the connection relationship or topology structure of different connection nodes in the connection scheme, the local node eigenvalue in the connection scheme is calculated.

[0109] (2) The calculation formula of the local node eigenvalue is: ;

[0110] wherein, is the local eigenvalue of the node; is the branch directly connected to the node in the power network, and N is the number of nodes in the connection scheme.

[0111] (3) According to the local node eigenvalue, the global node eigenvalue is calculated.

[0112] The calculation formula of the global node eigenvalue is: ;

[0113] wherein, is the global eigenvalue of the node. is the number of shortest paths for two adjacent nodes i and j; the global eigenvalue of all nodes constitutes an adjacency matrix ;

[0114] (4) According to the global eigenvalue of the node, the characteristic vector centrality corresponding to the wiring scheme is calculated;

[0115] The calculation formula of the characteristic vector centrality corresponding to the wiring scheme is: ;

[0116] wherein, is the characteristic vector centrality to be solved, is the eigenvalue corresponding to the adjacency matrix.

[0117] Step S22, according to the characteristic vector centrality, each wiring scheme in the wiring scheme sample data is classified to determine the classified wiring scheme.

[0118] Here, the classification of the wiring scheme according to the characteristic vector centrality can be the classification of the nodes according to the Pareto principle, and the specific classification types include key nodes, secondary key nodes and general nodes.

[0119] In step S22, after the characteristic vector centrality of each wiring scheme is calculated, the process of systematically classifying all wiring scheme samples based on the characteristic vector centrality. Specifically, first, the characteristic vector centrality quantization results (i.e. the scores reflecting the importance of the access nodes of each scheme in the power network) corresponding to various wiring schemes are summarized, and then according to the preset classification standard (such as the score threshold determined based on the Pareto principle, or the classification interval determined in combination with the actual operation demand of the power grid), different wiring schemes are divided into categories corresponding to the importance level of the nodes (for example, the schemes with characteristic vector centrality scores in the top 20% are classified as key node access, the schemes with scores in the middle interval are classified as secondary key node access, and the schemes with lower scores are classified as general node access). Through this classification, the differences in network influence of different wiring schemes can be clearly distinguished, so that the classified wiring schemes not only retain their own structural characteristics, but also reflect the importance level of their access nodes, laying a foundation for subsequent targeted evaluation of wiring schemes for different levels of nodes.

[0120] Based on the first embodiment of the present application, the third embodiment of the present application is proposed. In the third embodiment of the present application, the same or similar contents as the above-mentioned first embodiment can be referred to the above introduction, and the following will not be repeated. On this basis, please refer to Figure 3 , Figure 3The scheme is calculated for the economic index-based evaluation of the connection scheme. As step S50, based on the power grid model, the connection scheme of the current grid-connected access is evaluated and calculated for multi-dimensional evaluation indexes to determine a refined scheme of the multi-dimensional evaluation results corresponding to the multi-dimensional evaluation indexes, including steps S31-S33:

[0121] Step S31, calculate the investment cost of the connection scheme of the new energy station in the current grid-connected access;

[0122] In step S31, the total cost of the current connection scheme in engineering construction and equipment investment can be calculated, mainly including the investment of core facilities such as lines, substations, power plants, etc. At the same time, the depreciation cost (apportioned cost after deducting residual value) within the equipment service life needs to be considered, so as to quantify the initial investment scale of the scheme.

[0123] It should be noted that the investment cost includes: total investment of lines, in-plant step-up equipment, and power plant investment, which is calculated considering the depreciation formula.

[0124] In a specific embodiment, the calculation formula for calculating the investment cost is:

[0125]

[0126] Among them, , , are the line investment, substation investment, and power plant investment, respectively, in yuan; is the residual value rate; is the service life, in years; is the line set.

[0127] Step S32, calculate the daily income of the connection scheme of the new energy station in the current grid-connected access;

[0128] In step S32, the daily economic return of the connection scheme is calculated, specifically the product of daily on-grid power and on-grid electricity price, and then the daily operation cost (such as line loss, equipment maintenance cost, etc.) is subtracted, to finally obtain the daily net income of the connection scheme, reflecting its short-term economic output capacity.

[0129] The daily income is the product of on-grid electricity price and daily power generation energy minus operation cost, wherein the operation cost includes network loss and power plant operation and maintenance cost.

[0130] In a specific embodiment, the calculation formula for calculating the operation cost is:

[0131]

[0132] Among them, ​is the power generation of the i th unit at time t, in MW; is the on-grid loss rate; is the time interval, in h; is the on-grid electricity price, in yuan / MWh; M is the operation and maintenance cost of the power generation project, in yuan; is the set of generator units.

[0133] In step S33, the economic indicator evaluation result of the wiring scheme of the new energy station for the current grid connection is determined according to the investment cost and the daily income.

[0134] After the investment cost and the daily income are calculated, the economy of the wiring scheme for the current time can be evaluated according to the investment cost and the daily income. The total investment cost and the daily income are comprehensively analyzed to form a comprehensive evaluation of the economy of the current wiring scheme. For example, the payback period can be calculated in combination with the investment scale and the daily income, or the cost-benefit ratio can be directly compared, and finally the level of the scheme in the economic dimension is determined to provide a quantitative basis for decision-making.

[0135] Based on the first embodiment of the present application, the fourth embodiment of the present application is proposed. In the fourth embodiment of the present application, the same or similar contents as the above-mentioned first embodiment can be referred to the above introduction, and will not be described in detail. On this basis, please refer to Figure 4 , Figure 4 is a scheme for evaluating and calculating the wiring scheme based on the reliability indicator. As step S50, based on the power grid model, the wiring scheme for the current grid connection is evaluated and calculated based on the multi-dimensional evaluation indicators, and the detailed scheme of the multi-dimensional evaluation results corresponding to the multi-dimensional evaluation indicators is determined, including step S41:

[0136] In step S41, the reliability indicator is calculated according to the resilience and robustness indicator composed of the expected unsupplied power and the annual average outage time.

[0137] In step S41, the reliability indicator is calculated by the resilience and robustness indicator. Specifically, the reliability of the power system under the current wiring scheme of the new energy station is quantitatively evaluated by combining the two key parameters of the expected unsupplied power (i.e. the power that cannot be normally supplied) and the annual average outage time (the average value of the total annual outage time). The two parameters directly reflect the ability of the system to maintain power supply and the efficiency of the system to recover normal operation after being disturbed (such as equipment failure, natural disaster, etc.). The combination of the two parameters can comprehensively reflect the performance of the system in terms of reliability.

[0138] In a specific embodiment, the calculation formula of the resilience and robustness indicator is:

[0139]

[0140] wherein, Pi is the average load power of the node i, in MW; T is the duration of the outage point, Pi is the probability of failure of the connected element equipment at the node; Ni is the number of users of the node i, in households; N is the number of nodes, The annual cumulative outage time of the users of node i, Total load power.

[0141] Based on the first embodiment of the present application, the fifth embodiment of the present application is proposed. In the fifth embodiment of the present application, the same or similar contents as the above-mentioned embodiment one can be referred to the above introduction, and the subsequent will not be described in detail. On this basis, please refer to Figure 5 , Figure 5 As step S50, based on the power grid model, the multi-dimensional evaluation index of the wiring scheme of the current grid-connected access is evaluated and calculated, and the detailed scheme of the multi-dimensional evaluation result corresponding to the multi-dimensional evaluation index is determined, including steps S51-S53:

[0142] Step S51, calculate the property division clarity OCI of the wiring scheme of the new energy station when the current grid-connected access.

[0143] Wherein, the property division clarity OCI measures the grid connection topology complexity according to the number of different enterprises accessed by the same line.

[0144] In step S51, the clarity degree of property division in the current wiring scheme is quantified. Specifically, the OCI value is obtained by calculating the ratio of the number of enterprises actually accessed under the same access node to the maximum number of enterprises allowed to access the node. The smaller the ratio, the more enterprises accessed by the same node, and the more complex the property division; the closer the ratio to 1, the clearer the property division, which can reduce the rights disputes between multiple subjects.

[0145] It should be noted that the property division clarity measures the grid connection topology complexity according to the number of different enterprises accessed by the same line, and the smaller the index, the more complex.

[0146] In a specific embodiment, the calculation formula of the property division clarity is:

[0147]

[0148] Wherein, Ni is the number of enterprises accessed under the i-th node; Nmax is the maximum number of enterprises allowed;

[0149] The gateway point independence measures the metering management complexity through the ratio of the total number of system independent metering points to the total number of metering points.

[0150] Step S52, calculate the gateway independence MIS of the wiring scheme of the new energy station in the current grid-connected access.

[0151] Wherein, the gateway independence MIS measures the metering management complexity through the ratio of the total number of independent metering points in the system to the total number of metering points.

[0152] In step S52, the independence of metering settlement in the current wiring scheme is evaluated. The MIS value is obtained by calculating the ratio of the number of independent metering points in the system to the total number of metering points. The higher the ratio, the higher the proportion of independent metering, the less the interference of the power metering of each subject by other metering points, and the lower the confusion risk in settlement; the lower the ratio, the stronger the metering correlation and the higher the settlement complexity.

[0153] In a specific embodiment, the calculation formula of the gateway independence is:

[0154] Wherein, is the number of independent metering points, is the total number of metering points.

[0155] Step S51, determine the evaluation result of the convenience index of the new energy station wiring scheme according to the property partition clarity OCI and the gateway independence MIS.

[0156] After determining the property partition clarity and the gateway independence, the overall evaluation of the settlement convenience of the current wiring scheme can be formed according to the property partition clarity and the gateway independence. For example, the scheme with OCI close to 1 and high MIS indicates that the property is clear and the metering is independent, and the settlement convenience is good; if OCI is small and MIS is low, it indicates that the settlement is easy to produce disputes, and the convenience is poor. Through the combined analysis of the two, the actual performance of the scheme in the settlement dimension is clear, which provides a basis for the scheme selection in the multi-subject access scene.

[0157] Based on the first embodiment of the present application, the sixth embodiment of the present application is proposed. In the sixth embodiment of the present application, the same or similar contents as the above embodiment one can refer to the above introduction, and the following will not be repeated. On this basis, please refer to Figure 2 , before step S10, the multi-dimensional evaluation method based on the new energy station wiring scheme steps S61~S62:

[0158] Step S61, respectively analyze and comprehensively analyze the index characteristics of the multi-dimensional evaluation result, and determine the corresponding adjustment suggestion.

[0159] First, the characteristics of the indicators in the three dimensions of economy, reliability, and settlement convenience in the multi-dimensional evaluation results are analyzed separately to determine the advantages and disadvantages of the current connection scheme in each dimension (for example, whether the investment cost is too high in the economy index, whether the daily income meets the standard; whether the resilience meets the system requirements in the reliability index; whether the OCI and MIS meet the multi-agent access demand in the settlement convenience index). Subsequently, through comprehensive analysis of the correlation and trade-off relationship of the indicators in each dimension (such as a scheme with good economy but poor reliability, or high settlement convenience but high investment cost), combined with the core needs of the actual application scenario (such as prioritizing reliability or focusing on cost reduction), targeted adjustment suggestions are proposed, such as optimizing the access node location to reduce investment, increasing independent metering points to improve settlement convenience, adjusting the connection structure to enhance system resilience, etc., to provide direction for subsequent scheme optimization

[0160] Step S61, according to the adjustment suggestion, determine the target connection scheme.

[0161] Based on the adjustment suggestion proposed in step S61, the original connection scheme is optimized and iterated, and through comparison of the improvement effect of different adjustment schemes in multi-dimensional evaluation indicators, the scheme with the best comprehensive performance is selected as the target connection scheme. The target connection scheme needs to balance between economy, reliability, and settlement convenience, and meet the actual access needs of new energy stations (such as clear property rights in multi-agent scenarios and system resilience under high reliability requirements), etc. Finally, it provides a feasible and quantifiable optimal connection scheme for new energy station grid connection, ensuring high-quality grid connection and safe and stable operation of the power grid.

[0162] The following presents an optimal embodiment of the present application to exemplarily illustrate the content protected by the present application scheme. It should be noted that this embodiment is an example and does not limit the patent scope of the present application. Any equivalent structural transformation made by using the content of the present application specification and drawings, or direct / indirect application in other related technical fields is included in the patent protection scope of the present application.

[0163] Step 1, extract the possible connection typical scenarios of new energy station grid connection.

[0164] Step 2, analyze the characteristics of new energy station grid connection, construct evaluation indicators, extract economy, reliability, and settlement convenience indicators. Economy mainly involves investment cost and daily income, reliability is measured by system resilience, and settlement convenience is mainly affected by the number of access agents at the same interface and whether the gateway metering point is affected by the metering electricity of other metering points.

[0165] The economy index mainly includes investment cost and daily income.

[0166] The investment cost mainly considers the parts with large expenses, and is composed of total line investment, in-plant voltage boosting equipment and power plant investment, and the depreciation formula is as follows,

[0167]

[0168] In the formula, , , Line investment, substation investment and power plant investment are respectively denoted by yuan; Residual value rate; Service life, unit: year; Line set.

[0169] The daily income is the product of the on-grid price and the daily power generation capacity minus the operation cost, and the operation cost of the power plant is composed of the network loss and the operation and maintenance cost of the power plant,

[0170]

[0171] In the formula, The power generation capacity of the i-th unit at t time is denoted by MW; On-grid loss rate; Time interval, unit: h; On-grid price, unit: yuan / MWh; M is the operation and maintenance cost of the power generation project, unit: yuan; Generator set.

[0172] The reliability index is composed of the resilience index composed of the expected unsupplied power and the annual average power outage time, and the resilience of the power system mainly includes strain, defense, recovery, perception, coordination and learning. The present application focuses on the recovery, and the recovery resilience describes the ability of the system to absorb impact, maintain function and recover to the normal operation state in a short time after suffering disturbances such as natural disasters, equipment failure, attacks and the like.

[0173]

[0174] In the formula, The average power of the node i is denoted by MW; Duration of the stop point, The fault probability of the element device connected at the node; The number of users of the node i, unit: household; The number of nodes, The annual cumulative time of the node i user power outage, Total load power.

[0175] Two indicators of settlement convenience are extracted, namely, property right segmentation clarity OCI and gateway independence MIS. The property right segmentation clarity measures the complexity of network topology according to the number of different enterprises accessing the same line, and the smaller the index, the more complex it is.

[0176]

[0177] The number of enterprises accessing the i-th node; The maximum number of enterprises allowed.

[0178] The gateway independence measures the complexity of metering management through the ratio of the total number of independent metering points and the total number of metering points,

[0179]

[0180] In the formula The number of independent metering points, The total number of metering points.

[0181] Step 3, considering the position and topology structure of the node itself, calculating the characteristic vector centrality, and classifying the node.

[0182] According to the Pareto principle, the nodes are classified into key nodes, secondary key nodes and general nodes.

[0183] In the present application, the global eigenvalue of the node is used as the adjacency matrix.

[0184]

[0185] In the formula The local eigenvalue of the node; The branch directly connected to the node in the power network.

[0186]

[0187] In the formula The global eigenvalue of the node; The number of shortest paths between node i and node j; the global eigenvalue of all nodes constitutes the adjacency matrix .

[0188]

[0189] In the formula The characteristic vector centrality, The eigenvalue corresponding to the adjacency matrix.

[0190] Step 4, model the power plants involved, such as photovoltaic, wind power, coal-fired power plants, and the power grid, to optimize the unit at the minimum cost, and calculate the indicators of the three dimensions of economy, reliability and settlement convenience.

[0191] For photovoltaic power plants, a photovoltaic power plant output model is established. The output of a newly built photovoltaic power plant is related to the efficiency of the photovoltaic panel and the solar radiation,

[0192]

[0193] wherein, is the total number of photovoltaic panels; is the area of each photovoltaic panel, in m2; is the global horizontal irradiance, which is the sum of the direct radiation and atmospheric scattering radiation received from the sun perpendicular to the ground, in W / m2; in the formula is the nominal efficiency of the panel under standard conditions; is the temperature coefficient, is the reference cell temperature, in ℃; is the actual working temperature; is the inverter efficiency; is the rated value reduction factor.

[0194] For coal power plants, a coal power unit model is established. The output constraint, the climbing constraint, the minimum start / stop time constraint, the start / stop cost, the output cost, and the hot standby constraint are respectively established.

[0195]

[0196] wherein, is the output of unit i at time t, in MW; , is the minimum and maximum output of the unit, in MW; is the unit state, 1 indicating start and 0 indicating stop; , is the ascending / descending power rate limit, in MW / h; is the start variable, equal to 1 indicating that unit i starts at time t, is the stop variable, equal to 1 indicating that unit i stops at time t; , is the minimum running and minimum stop time of unit i, in h; T is the dispatching period, in h; is the total start / stop cost, in yuan; , is the start and stop cost, in yuan; is the running cost, in yuan, , , is the operation cost coefficient, is the reserve capacity for accident, unit: MW.

[0197] The power grid model is established, including the matrix form of node power flow, node balance and line power flow constraints.

[0198]

[0199] wherein, is the node injection power matrix, is the admittance matrix, is the node phase angle vector, is the diagonal element of the admittance matrix, is the non-diagonal element of the admittance matrix, is the line impedance, and is is the line power flow, is the maximum line power flow.

[0200] Based on the system, the new photovoltaic power plant is selected to access the node and the unit combination is carried out. The optimization objective of unit combination is to minimize the system cost,

[0201]

[0202] Step 5, the index characteristics of the three dimensions of economy, reliability and settlement convenience are analyzed respectively and comprehensively. Subsequently, under what conditions does the optimal performance of which connection mode appear through the change of influencing factors, so as to give the connection scheme suggestion.

[0203] The following is described by a specific embodiment. Selecting a new photovoltaic power plant in a certain northern Hebei area to access IEEE-30 node is discussed.

[0204] The rated capacity of the photovoltaic power plant is 80MW photovoltaic module, which adopts single crystal silicon solar 440Wp+ battery module. Through the calculation of maximum load hours, economic current density, conductor cross section selection, heat verification conductor cross section selection LGJ-300, the main part of investment cost also includes support, inverter, switch cabinet, transformer specific unit cost parameters and other economic parameters as shown in table 1:

[0205] Table 1 economic parameters

[0206]

[0207] The node classification is carried out, and the node scores are shown in Table 2. After classification, 4 and 6 nodes are selected from key nodes, 7 and 8 nodes are selected from secondary key nodes, and 1 and 3 nodes are selected from general nodes to determine the power plant access position. Considering the influence of the access structure mode, for the selected 4 and 6 nodes, four scenarios of direct access node 4, direct access node 6, T access between 4 and 6 nodes, and Π access between 4 and 6 nodes are set. The distance between 4 and 6 nodes is 24.05 km. The new power plant is 4.5 km away from the 4-6 line, 11.23 km away from node 4, and 14.71 km away from node 6. For the selected 7 and 8 nodes, three scenarios of direct access node 7, direct access node 8, and series access node 8 are set. There is no direct line between 7 and 8 nodes. The new power plant is 23.11 km away from node 7 and 18 km away from node 8. For the selected 1 and 3 nodes, four scenarios of direct access node 1, direct access node 3, T access between 1 and 3 nodes, and Π access between 1 and 3 nodes are set. The power plant is set to be 10 km away from the 1-3 line. The distance between 1 and 3 nodes is 107.56 km. The new power plant is 48.54 km away from node 1 and 60.89 km away from node 3. Special attention should be paid to the demolition cost when Π access is performed. The line removal cost is 35% of the new project cost. Considering the different main organization modes of the station, four scenarios of internal bundling of 4 enterprises and multi-main access to 1 node and 3 node are set.

[0208] Table 2 Node classification table

[0209]

[0210] The following Table 3 is obtained by performing unit commitment and index calculation with the minimum cost. The wiring scheme and access point can be selected according to the self-focused aspect.

[0211] Table 3 Index of access structure mode scenario

[0212]

[0213] In terms of economy, the investment cost and daily income of each scheme differ significantly. For key nodes, direct access node 4 is the most economical; for secondary key nodes, direct access node 8 has the lowest investment cost of 14006.49 yuan / day and the highest daily income of 126361.65 yuan / day, which is the most economical with low investment and high income; for general nodes, T access between nodes 1 and 3 is the most economical.

[0214] In terms of reliability, direct access node 7 has the best comprehensive performance. Among key nodes, direct access node 4 has the highest reliability; among secondary key nodes, direct access node 7 has the best comprehensive performance; among general nodes, direct access node 1 performs best.

[0215] In terms of settlement convenience, the series access node 8 is the most complex for settlement. The total number of access node bodies is set to 5, which is the same as the maximum allowed number of body access. Its OCI is 0.776, and MIS is 0.75, because this scheme involves sharing equipment with existing power plants and reducing independent metering points, resulting in the worst settlement convenience. As shown in Table 4, compare different access modes of different stations, for example, the direct access node 1, the internal bundling OCI is 0.7667, and the MIS is 0.8750, the multi-body access OCI is 0.6667, and the MIS is 0.9091. The access property of the multi-body is poor, but the gateway independence is better than the bundling access scheme. Different access schemes need to be selected according to the settlement requirements.

[0216] Table 4: Scene index of station body organization mode

[0217]

[0218] This embodiment is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A multi-dimensional evaluation method based on the wiring scheme of new energy power stations, characterized in that, The method includes: Collect sample data of wiring schemes for grid connection of new energy power plants; Based on the sample data of the wiring scheme, the wiring schemes of new energy power stations are classified to obtain the classified wiring schemes; Collect grid connection index data of new energy power stations, and construct multi-dimensional evaluation indicators for evaluating the new energy power stations based on the grid connection characteristics in the grid connection index data. The multi-dimensional evaluation indicators include at least economic indicators, reliability indicators and settlement convenience indicators. Based on the multi-dimensional evaluation indicators and the classified wiring schemes, simulation training is performed to generate grid connection simulation data corresponding to different wiring schemes, and a power grid model is created based on the grid connection simulation data. Based on the power grid model, the wiring scheme for the current grid connection is evaluated and calculated using multi-dimensional evaluation indicators to determine the multi-dimensional evaluation results corresponding to the multi-dimensional evaluation indicators. The multi-dimensional evaluation results include the evaluation results corresponding to the dimensions of economy, reliability, and settlement convenience.

2. The multi-dimensional evaluation method based on the wiring scheme of new energy power stations according to claim 1, characterized in that, The categorized wiring schemes include multiple access schemes classified according to different main organizational methods, access node locations, and access structure methods; According to the main organizational method of new energy power stations, the new energy connection scenarios include: typical forms of bundled access and multi-entity access; According to the location of the access node of the new energy power station, the new energy connection scenarios include: access to the main transmission network, access to the regional distribution network, access to the low-voltage distribution network, and access to the load-side node; According to the access structure of new energy power stations, the new energy connection scenarios include: direct access, series access, T-type access and Π-type access.

3. The multi-dimensional evaluation method based on the wiring scheme of new energy power stations according to claim 1, characterized in that, The step of classifying the wiring schemes of new energy power plants based on the wiring scheme sample data to obtain the classified wiring schemes includes: Calculate the eigenvector centrality of each wiring scheme in the sample data of the wiring schemes; The wiring scheme sample data is classified according to the eigenvector centrality to determine the classified wiring scheme.

4. The multi-dimensional evaluation method based on the wiring scheme of new energy power stations according to claim 3, characterized in that, Each wiring scheme includes at least one wiring node, and each wiring scheme has different connection relationships or topologies for different wiring nodes. The step of calculating the eigenvector centrality of each wiring scheme in the wiring scheme sample data includes: Based on the connection relationship or topology of different wiring nodes in the wiring scheme, calculate the local node characteristic values ​​in the wiring scheme. The formula for calculating the feature values ​​of the local nodes is as follows: ; Among them, the These are local eigenvalues ​​of the node; N represents the branch that the node is directly connected to in the power network, and N is the number of nodes in the wiring scheme. Calculate the global node feature values ​​based on the local node feature values; The formula for calculating the global node feature value is as follows: ; Among them, the The global feature value of the node; Let be the number of shortest paths between two adjacent nodes i and j; the global eigenvalues ​​of all nodes form an adjacency matrix. ; Based on the global feature values ​​of the nodes, calculate the eigenvector centrality corresponding to the wiring scheme; The formula for calculating the eigenvector centrality corresponding to the wiring scheme is: ; Among them, the For the desired eigenvector centrality, These are the eigenvalues ​​corresponding to the adjacency matrix.

5. The multi-dimensional evaluation method based on the wiring scheme of new energy power stations according to claim 1, characterized in that, The multi-dimensional evaluation indicators include economic indicators, which include investment costs and daily returns, and the multi-dimensional evaluation results include the evaluation results of the economic indicators. The steps of evaluating and calculating multi-dimensional evaluation indicators for the wiring scheme of the current grid connection based on the power grid model, and determining the multi-dimensional evaluation results corresponding to the multi-dimensional evaluation indicators, include: Calculate the investment cost of the wiring scheme for the current grid connection of the new energy power station; Calculate the daily revenue of the wiring scheme for the current grid connection of the new energy power station; The evaluation results of the economic indicators of the wiring scheme for the current grid connection of the new energy power station are determined based on the investment cost and the daily revenue.

6. The multi-dimensional evaluation method based on the wiring scheme of new energy power stations according to claim 5, characterized in that, The process of evaluating and calculating multi-dimensional evaluation indicators for the wiring scheme of the current grid connection based on the power grid model, and determining the multi-dimensional evaluation results corresponding to the multi-dimensional evaluation indicators, also includes: The investment cost includes: total investment in the transmission line, in-plant step-up equipment, and power plant investment. The investment cost is calculated taking into account the depreciation formula. The formula for calculating investment costs is as follows: ; Among them, the , , These are investment in transmission lines, substations, and power plants, respectively, in yuan. It is the residual value rate; It refers to the service life, in years; It is a collection of routes; The daily revenue is the product of the grid-connected electricity price and the daily generated electricity, minus the operating costs, wherein the operating costs include grid losses and the power plant's operation and maintenance costs; The formula for calculating the operating costs is as follows: in, Let represent the power generation of the i-th generating unit at time t, in MW. Internet access loss rate; The time interval is expressed in hours (h). The figure represents the grid connection price, expressed in yuan / MWh; M represents the operation and maintenance cost of the power generation project, expressed in yuan. This is a collection of generator sets.

7. The multi-dimensional evaluation method based on the wiring scheme of new energy power stations according to claim 1, characterized in that, The multi-dimensional evaluation indicators include reliability indicators, which include resilience indicators composed of expected unsupplied power and average annual outage time. The multi-dimensional evaluation results include the evaluation results of the reliability indicators. The steps of evaluating and calculating multi-dimensional evaluation indicators for the wiring scheme of the current grid connection based on the power grid model, and determining the multi-dimensional evaluation results corresponding to the multi-dimensional evaluation indicators, include: The reliability index is calculated based on the resilience index, which is composed of the expected unsupplied power and the average annual outage time. The formula for calculating the resilience index is as follows: Among them, the Here is the average load power at node i, in MW; The duration of the stop point. The probability of failure of the components or devices connected at this node; Let i be the number of users at node i, in units of households. For the number of nodes, Node i user's cumulative annual power outage time Total load power consumption.

8. The multi-dimensional evaluation method based on the wiring scheme of new energy power stations according to claim 1, characterized in that, The multi-dimensional evaluation indicators include convenience indicators, which include Ownership Clarity Index (OCI) and Metering Independence Score (MIS). The steps of evaluating and calculating multi-dimensional evaluation indicators for the wiring scheme of the current grid connection based on the power grid model, and determining the multi-dimensional evaluation results corresponding to the multi-dimensional evaluation indicators, include: Calculate the property rights division clarity (OCI) of the wiring scheme for the current grid connection of a new energy power station; Calculate the gate independence (MIS) of the wiring scheme for the current grid connection of the new energy power station; The evaluation results of the convenience index of the new energy power station wiring scheme are determined based on the property division clarity (OCI) and the gateway independence (MIS).

9. A multi-dimensional evaluation method based on the wiring scheme of new energy power stations according to claim 8, characterized in that, The process of evaluating and calculating multi-dimensional evaluation indicators for the wiring scheme of the current grid connection based on the power grid model, and determining the multi-dimensional evaluation results corresponding to the multi-dimensional evaluation indicators, also includes: The clarity of property rights division is measured by the number of different enterprises connected to the same line to measure the complexity of the network topology; the smaller the index, the more complex the network topology. The formula for calculating the clarity of the property division is as follows: Among them, the This represents the number of enterprises connected to the i-th node. The maximum number of companies allowed; The independence of the checkpoints is measured by the ratio of the total number of independent metering points to the total number of metering points in the system to measure the complexity of metering management. The formula for calculating the independence of the checkpoint is as follows: Among them, the For independent measurement points, This represents the total number of measurement points.

10. A multi-dimensional evaluation method based on the wiring scheme of new energy power stations according to any one of claims 1 to 9, characterized in that, After determining the multidimensional evaluation results corresponding to the multidimensional evaluation indicators, the node classification multidimensional evaluation method based on the new energy power station wiring scheme further includes: The characteristics of the indicators in the multidimensional evaluation results are analyzed separately and comprehensively, and corresponding adjustment suggestions are determined. Based on the aforementioned adjustment recommendations, determine the target network connection scheme.

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