A power grid risk assessment method based on Monte Carlo and least squares support vector machine

A technology of support vector machine and least squares, applied in information technology support systems, data processing applications, instruments, etc., can solve problems such as inability to complete evaluation in real time, and cannot fully consider changes in equipment status, so as to ensure safe operation, Comprehensive effect of risk calculation

Active Publication Date: 2022-07-05
STATE GRID GASU ELECTRIC POWER RES INST +1
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Problems solved by technology

[0005] The present invention mainly aims at the deficiency that the existing risk assessment method cannot comprehensively consider the change of the equipment state and cannot complete the assessment in real time, introduces the least square support vector machine and uses the Monte Carlo method to assess the risk of the power grid

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  • A power grid risk assessment method based on Monte Carlo and least squares support vector machine
  • A power grid risk assessment method based on Monte Carlo and least squares support vector machine
  • A power grid risk assessment method based on Monte Carlo and least squares support vector machine

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[0077] In order to facilitate the understanding and implementation of the present invention by those skilled in the art, the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the embodiments described herein are only used to illustrate and explain the present invention, but not to limit it. this invention.

[0078] The invention performs simulation calculation on the matlab software platform, uses the power grid simulation data and the power flow calculation function of the matpower toolbox, and the support vector machine function of the least squares support vector machine lab toolbox. The RTS-79 system and the IEEE300 node system are used for simulation calculations, which represent power grids of different scales, and both provide information such as load models, generator conditions, and the structure of the transmission grid. RTS-79 includes 24 nodes, 38 lines and 33 genera...

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Abstract

The invention proposes a power grid risk assessment method of Monte Carlo and least square support vector machine. Considering the real-time failure rate of equipment and changes in operating mode, the Monte Carlo method optimized by the Latin hypercube algorithm is used to generate risk sample data, and multiple faults can be searched in limited computing time to fully reflect the grid fault situation; and Gaussian disturbance particles are used. The group-optimized least-squares support vector machine trains risk samples to greatly reduce the computation time. Under the condition of ensuring the accuracy of risk calculation, the method in this paper can achieve online calculation of power grid risk and sensitivity, and provide a reference for risk source tracking and equipment differentiated operation and maintenance.

Description

technical field [0001] The invention belongs to the technical field of power grid risk assessment, and in particular relates to a power grid risk assessment method of Monte Carlo and least square support vector machine. Background technique [0002] The research on power system risk assessment is mainly divided into analytical method and Monte Carlo simulation method. The sampling times of the Monte Carlo method are not affected by the scale of the power grid, and can easily reflect the actual conditions such as various operation control strategies and load changes, and can handle multiple, correlated and cascading failures. The use of Monte Carlo method can solve the problem that the current risk database of large power grids lacks a method for handling multiple faults. However, the Monte Carlo method still produces a large number of repeated sampling scenarios, and repetitive calculations such as topology analysis, power flow calculation, and load reduction are required f...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06Y04S10/50
Inventor 郝如海祁莹智勇拜润卿陈仕彬邢延东高磊刘文飞史玉杰张彦凯张海龙崔力心陈力赵步宇龚庆武刘栋王誉博
Owner STATE GRID GASU ELECTRIC POWER RES INST
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