LU503869B1 - Method for constructing vulnerability assessment model based on power grid considering multi-heterogeneous res - Google Patents
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Abstract
Disclosed are a method and a device for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES, a computer apparatus and a storage medium. The method includes: constructing a comprehensive feature parameter ; constructing an actual power grid model having dynamic features and containing multi-heterogeneous RESs and a time-varying load based on a comprehensive feature parameter of the power grid model; constructing a vulnerability assessment index system for a power grid node/branch having dynamic features based on the actual power grid model having the dynamic features and containing the multi-heterogeneous RESs and the time-varying load; and constructing an overall vulnerability index assessment system of the power grid; and by comprehensively analyzing influence of the dynamic features of the multi-heterogeneous RESs and the time-varying load on a comprehensive vulnerability assessment index, constructing a comprehensive vulnerability assessment model of the power grid based on the dynamic features.
Description
BL-5643
METHOD FOR CONSTRUCTING VULNERABILITY ASSESSMENT MODEL, ~~ |-°08869
BASED ON POWER GRID CONSIDERING MULTI-HETEROGENEOUS RES
[01] The present application relates to the technical field of power system security, in particular to a method and a device for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES, a computer apparatus and a storage medium.
[02] A modern smart power grid is connected to numerous multi-heterogeneous renewable energy resource (RES) power generation systems, such as wind power and photovoltaics, resulting in increasing types and quantities of power grid elements. In addition, the demands of users make loads of the power grid change over time, and internal parts of the system are more closely linked and an operation process is more complicated and changeable.
[03] Due to rapid growth of multi-heterogeneous RESs (for example, wind power and photovoltaics) power generation technologies and their increasing penetration in the power grid, RES power generation has become an important part of the power grid.
However, under influence of the environment and features of renewable energy, RES outputs feature time-variability, dynamics, randomness, dispersion heterogeneity, etc., causing effects on structures and power flow of the power grid that cannot be ignored.
For example, when the RES power outputs fluctuate, the power flow of the power grid changes accordingly. Based on the demands of the users, the loads of the power system have certain time-variability. In the multi-heterogeneous RES and time-varying load-containing power grid with, large-scale connection to the grid of various RES resources and randomness, dynamics, load time-variability, etc. of actual outputs lead to dramatic changes in the power system structure, the power flow and operation modes, which in turn affects vulnerability of the power grid. The power grid vulnerability assessment is to identify and protect vulnerable links, and then to prevent cascading failures caused by fracture of the vulnerable links. On account of the dynamic features of the multi-heterogeneous RESs and time-varying loads, the vulnerable links of the power system change indefinitely.
[04] Based on this, in order to solve the above technical problems, a method and a device for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES, a computer apparatus and a storage medium are provided.
[05] In a first aspect, a method for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES is provided. The method includes: obtaining actual power system data, where the actual power system data includes: a renewable energy resource (RES) type connected to a grid, a system load 1
BL-5643 requirement and an actual power grid structure; and obtaining dynamic features such as LU503869 fluctuation, randomness and load time-variability of various RES outputs;
[06] obtaining, based on the actual power grid structure, feature parameters of a power grid model based on dynamic features of multi-heterogeneous RESs and a time-varying load, where the feature parameters include a node weight, a line reactance, a line admittance, etc.
[07] computing dynamic features under the conditions of different-output multi-heterogeneous RESs and the time-varying load based on a grid power flow distribution, where the dynamic features include a direction and a magnitude of power flow:
[08] constructing a comprehensive feature parameter for measuring the power grid model based on the dynamic features and the feature parameters;
[09] constructing an actual power grid model having dynamic features and containing multi-heterogeneous RESs and a time-varying load based on the comprehensive feature parameter of the power grid model;
[10] constructing an overall vulnerability index assessment system of the power grid based on the actual power grid model having the dynamic features and containing the multi-heterogeneous RESs and the time-varying load;
[11] analyzing influence of the dynamic features of the multi-heterogeneous RESs and the time-varying load on a comprehensive vulnerability assessment index based on the overall vulnerability index assessment system of the power grid, and constructing a comprehensive vulnerability assessment model of the power grid based on the dynamic features.
[12] In the solution above, optionally, the obtaining dynamic features such as fluctuation, randomness and load time-variability of various RES outputs is performed in a manner as follows: collecting and searching files, references, etc.
[13] In the solution above, further optionally, the obtaining actual power system data is performed in a manner as follows: investigating and surveying an actual power system.
[14] In the solution above, further optionally, the constructing an overall vulnerability index assessment system of the power grid includes: by combining electrical features of power grid operation and the dynamic features of the RES and the time-varying load, analyzing a real-time state of power grid operation by using static/transient energy, a line transmission capacity, a power stability margin, a power transfer amount, a branch capacity margin, branch vulnerability, an anode voltage margin, node interval vulnerability, etc.
[15] In the solution above, further optionally, after the constructing an overall vulnerability index assessment system of the power grid, based on each single vulnerability index, the overall vulnerability index assessment system of the power grid is constructed by using mathematical methods such as averaging, root mean square, a sum, a maximum and a minimum according to features of the index.
[16] In the solution above, further optionally, after the constructing an overall vulnerability index assessment system of the power grid, the method further includes: processing actual values of the indexes by using various normalization methods; 2
BL-5643
[17] proposing a fusion rule of vulnerability information in various indexes by LU503869 introducing an information entropy weight, Spearman Rank, mathematical envelopment analysis, analytic hierarchy process, etc, and constructing a comprehensive assessment index and a computation model of node/branch vulnerability and overall vulnerability of the power grid by fusing the vulnerability information of various indexes.
[18] In a second aspect, a device for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES is provided. The device includes:
[19] an obtaining module configured to obtain actual power system data, where the actual power system data includes: a renewable energy resource (RES) type connected to a grid, a system load requirement and an actual power grid structure; obtaining dynamic features such as fluctuation, randomness and load time-variability of various
RES outputs; obtain dynamic features such as fluctuation, randomness and load time-variability of various RES outputs; and obtain, based on the actual power grid structure, feature parameters of a power grid model based on dynamic features of multi-heterogeneous RESs and a time-varying load, where the feature parameters include a node weight, a line reactance, a line admittance, etc.;
[20] a construction module configured to compute dynamic features under the conditions of different-output multi-heterogeneous RESs and the time-varying load based on a grid power flow distribution, where the dynamic features include a direction and a magnitude of power flow; construct a comprehensive feature parameter for measuring the power grid model based on the dynamic features and the feature parameters of the power grid model; construct an actual power grid model having dynamic features and containing multi-heterogeneous RESs and a time-varying load based on the comprehensive feature parameter of the power grid model; construct an overall vulnerability index assessment system of the power grid based on the actual power grid model having the dynamic features and containing the multi-heterogeneous
RESs and the time-varying load; and analyze influence of the dynamic features of the multi-heterogeneous RESs and the time-varying load on a comprehensive vulnerability assessment index based on the overall vulnerability index assessment system of the power grid, and construct a comprehensive vulnerability assessment model of the power grid based on the dynamic features.
[21] In a third aspect, a computer apparatus is provided, and includes a memory and a processor, where the memory stores a computer program, and the processor implements steps as below when executing the computer program: obtaining actual power system data, where the actual power system data includes: a renewable energy resource (RES) type connected to a grid, a system load requirement and an actual power grid structure; and obtaining dynamic features such as fluctuation, randomness and load time-variability of various RES outputs;
[22] obtaining, based on the actual power grid structure, feature parameters of a power grid model based on dynamic features of multi-heterogeneous RESs and a time-varying load, where the feature parameters include a node weight, a line reactance, a line admittance, etc.
[23] computing dynamic features under the conditions of different-output 3
BL-5643 multi-heterogeneous RESs and the time-varying load based on a grid power flow LU503869 distribution, where the dynamic features include a direction and a magnitude of power flow:
[24] constructing a comprehensive feature parameter for measuring the power grid model based on the dynamic features and the feature parameters of the power grid model;
[25] constructing an actual power grid model having dynamic features and containing multi-heterogeneous RESs and a time-varying load based on the comprehensive feature parameter of the power grid model;
[26] constructing an overall vulnerability index assessment system of the power grid based on the actual power grid model having the dynamic features and containing the multi-heterogeneous RESs and the time-varying load;
[27] analyzing influence of the dynamic features of the multi-heterogeneous RESs and the time-varying load on a comprehensive vulnerability assessment index based on the overall vulnerability index assessment system of the power grid, and constructing a comprehensive vulnerability assessment model of the power grid based on the dynamic features.
[28] In a fourth aspect, a computer readable storage medium is provided and stores a computer program, where the computer program implements steps as below when executed by a processor:
[29] obtaining actual power system data, where the actual power system data includes: a renewable energy resource (RES) type connected to a grid, a system load requirement and an actual power grid structure; and obtaining dynamic features such as fluctuation, randomness and load time-variability of various RES outputs;
[30] obtaining, based on the actual power grid structure, feature parameters of a power grid model based on dynamic features of multi-heterogeneous RESs and a time-varying load, where the feature parameters include a node weight, a line reactance, a line admittance, etc.
[31] computing dynamic features under the conditions of different-output multi-heterogeneous RESs and the time-varying load based on a grid power flow distribution, where the dynamic features include a direction and a magnitude of power flow;
[32] constructing a comprehensive feature parameter for measuring the power grid model based on the dynamic features and the feature parameters of the power grid model;
[33] constructing an actual power grid model having dynamic features and containing multi-heterogeneous RESs and a time-varying load based on the comprehensive feature parameter of the power grid model;
[34] constructing an overall vulnerability index assessment system of the power grid based on the actual power grid model having the dynamic features and containing the multi-heterogeneous RESs and the time-varying load; and
[35] analyzing influence of the dynamic features of the multi-heterogeneous RESs and the time-varying load on a comprehensive vulnerability assessment index based on the overall vulnerability index assessment system of the power grid, and constructing a 4
BL-5643 comprehensive vulnerability assessment model of the power grid based on the dynamic LU503869 features.
[36] The present invention has the following beneficial effects:
[37] the present invention provides the method for construction a model for a multi-heterogeneous RES and time-varying load-containing power grid considering the dynamic features. Based on the dynamic features such as the fluctuation and the randomness of connected multi-heterogeneous RESs and the time-varying load, the multi-heterogeneous RES and time-varying load-containing power grid model considering the dynamic features is constructed in combination with an actual grid connection manner, and model parameters are designed to describe a dynamic change process brought by the multi-heterogeneous RESs and the time-varying load to the system. The vulnerability assessment index system of the grid considering the dynamic features is proposed. The influence of the dynamic features such as the fluctuation and the randomness of the multi-heterogeneous RESs and the time-varying load on vulnerability of the system is analyzed. Based on the grid structure and the electrical operation features, the vulnerability index assessment system of the grid node/branch considering the dynamic features is proposed, and then the overall vulnerability index assessment system of the power grid considering the dynamic features is proposed. The vulnerability assessment method for the power grid considering the dynamic features is proposed. Aiming at the vulnerability index system of the power grid, heterogeneity of vulnerability information carried by the index is analyzed, and the rule and method of vulnerability information fusion are proposed. Aiming at dynamic scenarios of the RES and the time-varying load, the vulnerability assessment model and assessment method for the power grid based on the dynamic features are formed by combining the analytic hierarchy process and the entropy weight method.
[38] FIG 1 is a schematic flowchart of a method for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES according to an example of the present invention;
[39] FIG 2 is a schematic specific flowchart of a detailed technical solution for implementing an overall technical route of a method for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES according to an example of the present invention; and
[40] FIG 3 is a diagram of an internal structure of a computer apparatus according to an example.
[41] In order to make objectives, technical solutions, and advantages of the present application clearer, the present application will be further described below in detail with reference to accompanying drawings and examples. It should be understood that particular examples described herein are merely intended to explain the present application, but are not intended to limit the present application.
[42] The present application provides a method for constructing a vulnerability
BL-5643 assessment model based on a power grid considering multi-heterogeneous RES. In a LU503869 first aspect, the method for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES is provided. The method includes: actual power system data are obtained, where the actual power system data includes: a renewable energy resource (RES) type connected to a grid, a system load requirement and an actual power grid structure; and the step that actual power system data 1s performed in a manner as follows: an actual power system are investigated and surveyed.
[43] Dynamic features such as fluctuation, randomness and load time-variability of various RES outputs are obtained, and the step that dynamic features such as fluctuation, randomness and load time-variability of various RES outputs is performed in a manner as follows: files, references, etc. are collected and searched.
[44] Based on the actual power grid structure, feature parameters of a power grid model are designed by analyzing dynamic features of multi-heterogeneous RESs and a time-varying load, where the feature parameters include a node weight, a line reactance, a line admittance, etc.
[45] Dynamic features such as a direction and a magnitude of power flow under the conditions of different-output multi-heterogeneous RESs and the time-varying load are computed based on a grid power flow distribution, and a comprehensive feature parameter for measuring the power grid model 1s constructed by combining the dynamic features with the feature parameters of the power grid model.
[46] An actual power grid model having dynamic features and containing multi-heterogeneous RESs and a time-varying load is constructed based on the comprehensive feature parameter of the power grid model.
[47] À vulnerability assessment index system for a power grid node/branch having dynamic features is constructed based on the actual power grid model having the dynamic features and containing the multi-heterogeneous RESs and the time-varying load; and an overall vulnerability index assessment system of the power grid 1s constructed.
[48] The step that a vulnerability assessment index system for a power grid node/branch having dynamic features is constructed includes: by combining electrical features of power grid operation and the dynamic features of the RES and the time-varying load, a real-time state of power grid operation is analyzed by using static/transient energy, a line transmission capacity, a power stability margin, a power transfer amount, a branch capacity margin, branch vulnerability, an anode voltage margin, node interval vulnerability, etc.
[49] After the step that a vulnerability assessment index system for a power grid node/branch having dynamic features is constructed, based on each single vulnerability index, the overall vulnerability index assessment system of the power grid is constructed by using mathematical methods such as averaging, root mean square, a sum, a maximum and a minimum according to features of the index.
[50] Actual values of the indexes are processed by using various normalization methods.
[51] A fusion rule of vulnerability information in various indexes are proposed by 6
BL-5643 introducing an information entropy weight, Spearman Rank, mathematical envelopment LU503869 analysis, analytic hierarchy process, etc, and a comprehensive assessment index and a computation model of node/branch vulnerability and overall vulnerability of the power grid are constructed by fusing the vulnerability information of various indexes.
[52] By comprehensively analyzing influence of the dynamic features of the multi-heterogeneous RESs and the time-varying load on a comprehensive vulnerability assessment index, a comprehensive vulnerability assessment model of the power grid is constructed based on the dynamic features.
[53] In the method for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES, the method for construction a model for a power grid containing multi-heterogeneous RES and time-varying load with considering the dynamic features is proposed. Based on the dynamic features such as the fluctuation and the randomness of connected multi-heterogeneous RESs and the time-varying load, the power grid model containing multi-heterogeneous RES and time-varying load considering the dynamic features is constructed in combination with an actual grid connection manner, and model parameters are designed to describe a dynamic change process brought by the multi-heterogeneous RESs and the time-varying load to the system. The vulnerability assessment index system of the grid considering the dynamic features is proposed. The influence of the dynamic features such as the fluctuation and the randomness of the multi-heterogeneous RESs and the time-varying load on vulnerability of the system is analyzed. Based on the grid structure and the electrical operation features, the vulnerability index assessment system of the grid node/branch considering the dynamic features is proposed, and then the overall vulnerability index assessment system of the power grid considering the dynamic features is proposed. The vulnerability assessment method for the power grid considering the dynamic features is proposed. Aiming at the vulnerability index system of the power grid, heterogeneity of vulnerability information carried by the index is analyzed, and the rule and method of vulnerability information fusion are proposed.
Aiming at dynamic scenarios of the RES and the time-varying load, the vulnerability assessment model and assessment method for the power grid based on the dynamic features are formed by combining the analytic hierarchy process and the entropy weight method.
[54] In one example, as shown in FIG. 2, firstly, the actual power system 1s investigated and surveyed on a type of RESs connected to the grid, system load requirements, the basic structure of the grid, etc. By collecting and searching files, documents, etc, the dynamic features such as fluctuation, randomness and load time-variability of various RES outputs are analyzed, and a probability model describing the dynamic features of multi-heterogeneous RESs and the time-varying load is derived through theoretical derivation, such that the actual power grid model having the dynamic features and containing the multi-heterogeneous RESs and the time-varying load is constructed. Then, the influence of grid connection of the multi-heterogeneous RESs and the dynamic features such as fluctuation, randomness and load time-variability of outputs thereof on vulnerability of the power grid is analyzed. Based on the complex grid theory and the electrical features, the vulnerability 7
BL-5643 assessment index system of the power grid node/branch and the overall vulnerability LU503869 assessment index system of the grid that may fully reflect the dynamic features of the multi-heterogeneous RESs and the time-varying load are proposed. Finally, emphases of various vulnerability indexes, the vulnerability information carried thereon and a relation between indexes are analyzed, and the constructed models and simulation analysis methods are combined to explore the fusion rule and methods of various vulnerability information, thus forming the comprehensive vulnerability assessment model and assessment model considering the dynamic features. In addition, throughout a research process of the project, the applicant will build a simulation platform based on the actual power grid and data, using MATLAB, PSCAD, COMPLEX and other software, so as to provide platform support for construction of the power grid model having the dynamic features and containing the multi-heterogeneous RESs and the time-varying load, as well as its vulnerability assessment theory research, parameter design, performance verification, etc. The multi-heterogeneous RES and time-varying load-containing power grid dynamic model is constructed: a modern power grid is connected to multi-heterogeneous RESs on a large scale, and the energy system is in a multi-style development trend. Due to environmental factors and various RES power generation features, outputs thereof feature fluctuation, intermittence, randomness, etc. and users and active management on power loads of a power grid supporting management system require the loads to change over time, thereby aggravating the burden of stable operation of the power grid. Therefore, it is necessary to construct the power grid model having the dynamic features according to the actual power grid. This project analyzes power grid component resources such as the multi-heterogeneous RESs and the time-varying load, studies influence of environmental factors, market demand and other factors on multi-heterogeneous RES power generation power and load power, constructs a power dynamic curve and a probability mathematical model that may reflect actual RES power input/output and time-varying load features, and explores the influence of its dynamic features on power grid operation. Moreover, due to the increase in power supply types, power electronic apparatuses and intelligent apparatuses have also increased accordingly, making the power grid structure more complicated. Based on the actual power grid structure, by analyzing the dynamic features of the multi-heterogeneous RESs and the time-varying loads, the feature parameters of the power grid model, such as the node weight, the line reactance and the line admittance, are designed. Based on the network power flow distribution, the dynamic features such as power flow direction and magnitude are calculated. The dynamic features such as the direction and the magnitude of power flow under the conditions of different-output multi-heterogeneous RESs and the time-varying load are computed based on the grid power flow distribution, the comprehensive feature parameter for measuring the power grid model is constructed by effectively combining the dynamic features with the feature parameters of the power grid model, and therefore the actual power grid model having the dynamic features and containing the multi-heterogeneous RESs and the time-varying load is constructed.
[55] The vulnerability assessment index system having the dynamic features is proposed: the increase in the multi-heterogeneous RES power supply and random load 8
BL-5643 scheduling in the power grid make the grid structure and the operation mode more LU503869 complex and changeable, and the grid power flow also has strong uncertainty and variability, which greatly affects the system vulnerability and increases the risk of system operation and control. In order to research the vulnerability features of the power grid, this project is based on the multi-heterogeneous RES and time-varying load-containing power grid model, takes the complex grid 1s the theoretical basis, plans to build indexes such as degree center, node cohesion, node importance, betweenness center, compactness and node path efficiency to research the structural performance of the power grid. Combined with the electrical features of the grid operation and the dynamic features of the RES and time-varying load, it is proposed to analyze the real-time state of power grid operation by using static/transient energy, a line transmission capacity, a power stability margin, a power transfer amount, a branch capacity margin, branch vulnerability, an anode voltage margin, node interval vulnerability, etc, so as to constructing the vulnerability assessment index system for the power grid node/branch having dynamic features. Based on each single vulnerability index, the overall vulnerability index assessment system of the power grid is proposed to be constructed by using mathematical methods such as averaging, root mean square, a sum, a maximum and a minimum according to features of the index. The comprehensive vulnerability assessment model of the power grid based on the dynamic features 1s formed: fracture of key links in the grid may lead to system power imbalance and even lead to large-scale power outage. The key to ensure the safe operation of the power grid lies in identifying and protecting the key links of the power grid.
Considering the problems of different indexes in the vulnerability assessment index system, such as different emphases, different vulnerability information, inconsistent dimensions and even contradictions among indexes, it is proposed to process actual values of the indexes by using various normalization methods, and then the fusion rule of vulnerability information in various indexes is proposed by introducing an information entropy weight, Spearman Rank, mathematical envelopment analysis, analytic hierarchy process, etc, and the comprehensive assessment index and computation model of node/branch vulnerability and overall vulnerability of the power grid are constructed by fusing the vulnerability information of various indexes. The influence of the dynamic features of the multi-heterogeneous RESs and the time-varying load on the comprehensive vulnerability assessment index is comprehensively analyzed, and the comprehensive vulnerability assessment model of the power grid based on the dynamic features 1s formed.
[56] It may be understood by those skilled in the art that the structure shown in FIG. 3 1s merely a block diagram of part of the structure related to the solution of the present application, and does not constitute limitation to computer apparatuses to which the solution of the present application is applied. The specific computer apparatuses may include more or less components than those shown in the figure, or combine some components, or have different component arrangements.
[57] In an example, a computer apparatus is provided, and includes a memory and a processor, a computer program is stored in the memory, and all or part of processes in the method of the above example are involved. 9
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[58] In an example, a computer-readable storage medium is provided, stores a LU503869 computer program 1s stored, and relates to all or part of the processes in the method of the above example.
[59] Those skilled in the art may understand that all or part of the processes in the method in the above example may be implemented by instructing related hardware through a computer program, the computer program may be stored in the nonvolatile computer-readable storage medium, and when executed, the computer program may include the processes of the above example. Any reference to the memory, the storage, the database or other media used in the examples according to the present application may include at least one of a non-volatile memory and a volatile memory. The non-volatile memory may include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory, an optical memory, etc. The volatile memory may include a random access memory (RAM) or an external cache memory. For illustration instead of limitation, RAM may be in various forms, such as a static random access memory (SRAM) or a dynamic random access memory (DRAM).
[60] Various technical features of the above example can be arbitrarily combined.
To simplify description, all possible combinations of the various features of the above examples are not described. However, the combinations of these technical features shall fall within the scope recorded in the description in the case of no conflict.
[61] The examples above are merely several types of embodiments of the present application, and are specifically described in detail, but cannot be interpreted as limiting the scope of the patent for the invention as a result. It shall be noted that for those of ordinary skill in the field, several variations and improvements can be made on the premise without deviating from a concept of the present application, these variations and improvements shall fall within the protection scope of the present application.
Hence, the protection scope of the patent for the present application shall be subject to the appended claims.
Claims (9)
1. A method for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES, comprising: obtaining actual power system data, wherein the actual power system data comprises: a renewable energy resource (RES) type connected to a grid, a system load requirement and an actual power grid structure; and obtaining dynamic features such as fluctuation, randomness and load time-variability of various RES outputs; obtaining, based on the actual power grid structure, feature parameters of a power grid model based on dynamic features of multi-heterogeneous RESs and a time-varying load, wherein the feature parameters comprise a node weight, a line reactance, a line admittance, etc. computing dynamic features under the conditions of different-output multi-heterogeneous RESs and the time-varying load based on a grid power flow distribution, wherein the dynamic features comprise a direction and a magnitude of power flow; constructing a comprehensive feature parameter for measuring the power grid model based on the dynamic features and the feature parameters of the power grid model; constructing an actual power grid model having dynamic features and containing multi-heterogeneous RESs and a time-varying load based on the comprehensive feature parameter of the power grid model; constructing an overall vulnerability index assessment system of the power grid based on the actual power grid model having the dynamic features and containing the multi-heterogeneous RESs and the time-varying load; and analyzing influence of the dynamic features of the multi-heterogeneous RESs and the time-varying load on a comprehensive vulnerability assessment index based on the overall vulnerability index assessment system of the power grid, and constructing a comprehensive vulnerability assessment model of the power grid based on the dynamic features.
2. The method according to claim 1, wherein the obtaining dynamic features such as fluctuation, randomness and load time-variability of various RES outputs is performed in a manner as follows: collecting and searching files. documents, etc.
3. The method according to claim 1, wherein the obtaining actual power system data is performed in a manner as follows: investigating and surveying an actual power system.
4. The method according to claim 1, wherein the constructing an overall vulnerability index assessment system of the power grid comprises: by combining electrical features of power grid operation and the dynamic features of the RES and the time-varying load, analyzing a real-time state of power grid operation by using static/transient energy, a line transmission capacity, a power stability margin, a power transfer amount, a branch capacity margin, branch vulnerability, an anode voltage margin, node interval vulnerability, etc.
5. The method according to claim 4, wherein after the constructing an overall 11
BL-5643 vulnerability index assessment system of the power grid, based on each single LU503869 vulnerability index, the overall vulnerability index assessment system of the power grid is constructed by using mathematical methods such as averaging, root mean square, a sum, a maximum and a minimum according to features of the index.
6. The method according to claim 4, wherein after the constructing an overall vulnerability index assessment system of the power grid, the method further comprises: processing actual values of the indexes by using various normalization methods; and proposing a fusion rule of vulnerability information in various indexes by introducing an information entropy weight, Spearman Rank, mathematical envelopment analysis, analytic hierarchy process, etc, and constructing a comprehensive assessment index and a computation model of node/branch vulnerability and overall vulnerability of the power grid by fusing the vulnerability information of various indexes.
7. A device for constructing a vulnerability assessment model based on a power grid considering multi-heterogeneous RES, comprising: an obtaining module configured to obtain actual power system data, wherein the actual power system data comprises: a renewable energy resource (RES) type connected to a grid, a system load requirement and an actual power grid structure; obtaining dynamic features such as fluctuation, randomness and load time-variability of various RES outputs; obtain dynamic features such as fluctuation, randomness and load time-variability of various RES outputs; and obtain, based on the actual power grid structure, feature parameters of a power grid model based on dynamic features of multi-heterogeneous RESs and a time-varying load, wherein the feature parameters comprise a node weight, a line reactance, a line admittance, etc. and a construction module configured to compute dynamic features under the conditions of different-output multi-heterogeneous RESs and the time-varying load based on a grid power flow distribution, wherein the dynamic features comprise a direction and a magnitude of power flow; construct a comprehensive feature parameter for measuring the power grid model based on the dynamic features and the feature parameters of the power grid model; construct an actual power grid model having dynamic features and containing multi-heterogeneous RESs and a time-varying load based on the comprehensive feature parameter of the power grid model; construct an overall vulnerability index assessment system of the power grid based on the actual power grid model having the dynamic features and containing the multi-heterogeneous RESs and the time-varying load; and analyze influence of the dynamic features of the multi-heterogeneous RESs and the time-varying load on a comprehensive vulnerability assessment index based on the overall vulnerability index assessment system of the power grid, and construct a comprehensive vulnerability assessment model of the power grid based on the dynamic features.
8. A computer apparatus, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements steps of the method according to any one of claims 1-6 when executing the computer program.
9. A computer readable storage medium, storing a computer program, wherein the computer program implements steps of the method of any one of claims 1-6 when executed by a processor. 12
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| CN202210366106.8A CN114662970A (en) | 2022-04-08 | 2022-04-08 | Construction method based on RES power grid vulnerability assessment model containing multiple heterogeneous objects |
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