Electric Field Prediction and Optimization Method of Switchgear Based on Support Vector Machine and Genetic Algorithm

Abstract

The invention relates to a method for predicting and optimizing the electric field of a switch cabinet based on a support vector machine and a genetic algorithm, comprising: 1. Selecting the main factors and levels that affect the distribution of the electric field inside the switch cabinet, establishing an orthogonal test table, and calculating the electric field inside the switch cabinet , get the maximum electric field intensity on the surface of the contact box, and build a training sample; 2. Use the support vector machine regression model to establish a prediction model for the maximum electric field intensity on the surface of the switchgear contact box; 3. Select the influencing factors and level combinations for finite element electric field calculation , get the maximum electric field intensity on the surface of the contact box, construct a verification sample, optimize the penalty factor and kernel function parameters of the prediction model, and obtain the optimized prediction model; 4. Use the genetic algorithm to optimize the design of the switchgear structure. The value of the influencing factors corresponding to the minimum value of the maximum electric field intensity on the surface of the cell is the optimized structural parameter. This method can predict and optimize the structure of the switchgear electric field simply, efficiently and accurately.

Description

Technical field [0001] The present invention belongs to the field of power switchgear technology, specifically relates to a switchgear electric field prediction and optimization method based on a support vector machine and genetic algorithm. Background [0002] As an important power equipment for receiving and distributing electric energy, high-voltage switchgear is widely used in every link of the transmission and distribution network, and its safe operation is directly related to the safety of the entire power grid and the quality of power supply to the user by the power system, and is one of the most important electrical equipment in the power system. As the high-voltage switchgear continues to develop in the direction of miniaturization and compactness, the space size of the switchgear and its footprint are greatly saved, and at the same time, more stringent requirements are put forward for the insulation and structural design of the switchgear. Unreasonable structural design...

AI Technical Summary

Problems solved by technology

[0003] At present, high-voltage switchgear mainly uses finite element analysis software to conduct optimization analysis of the electric field. However, the parameters used in the optimization process are mostly existing empirical parameters, and the optimization process usually involves changing parameters many times and repeated tests, which has a large blindness

Especially for the optimization design under multiple influencing factors, if the primary and secondary conditions of the factors are not clear, not only the optimization design workload is heavy, but also the best optimization results may not be obtained

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