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power grid risk assessment method of a Monte Carlo and least square 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 not being able to fully consider changes in equipment status, and not being able to complete evaluations in real time

Active Publication Date: 2019-03-26
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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  • power grid risk assessment method of a Monte Carlo and least square support vector machine

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Embodiment Construction

[0077] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0078] The invention performs simulation calculation on the matlab software platform, uses the power grid simulation data and power flow calculation function of the matpower toolbox, and the support vector machine function of the least square support vector machine lab toolbox. The RTS-79 system and the IEEE300 node system are used for simulation calculations, which respectively represent power grids of different scales. Both of them provide information such as load models, generator conditions, and the structure of the transmission network. RTS-79 includes 2...

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Abstract

The invention provides a power grid risk assessment method of a Monte Carlo and least square support vector machine. By considering the real-time failure rate and the operation mode change of the equipment, firstly, risk sample data is generated by using a Monte Carlo method optimized by a Latin hypercube algorithm, multiple failures can be searched within limited calculation time, and the power grid failure condition is comprehensively reflected; And a risk sample is trained by using a least square support vector machine optimized by a Gaussian disturbance particle swarm, so that the purposeof greatly reducing the calculation time is achieved. Under the condition that the risk calculation accuracy is ensured, the method can achieve the online calculation of the power grid risk and sensitivity, and provides a reference basis for risk source tracking, equipment differential operation and maintenance and the like.

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 based on 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. Among them, the simulation sampling times of the Monte Carlo method is not affected by the scale of the power grid, and it is easy to reflect the actual conditions of various operation control strategies and load changes, and can handle multiple, correlated and cascading faults. Using the Monte Carlo method can solve the problem that the current large-scale power grid risk library lacks a method for dealing with multiple faults. However, the Monte Carlo method will still generate a large number of repeated sampling scenarios, and it is necessary to perform repetitive calculations such as topology analysi...

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Application Information

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Patent Type & Authority Applications(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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