Predicting of spatial electric field generated by substation switch operation based on AOS-GCN-LSTM Model

Author:

Shi Jinpeng1,Wang Donglai1,Zhao Yan1,Li Chengze1,Zhang Aijun1

Affiliation:

1. , Shenyang Institute of Engineering, , China

Abstract

The radiation of adjacent field sources has a specific spatial correlation. In order to suppress electromagnetic disturbance and improve the electromagnetic compatibility of secondary equipment, the electric field’s spatial coupling characteristics and distribution law should be mastered. Therefore, a method for predicting the spatial electric field generated by substation switching operation based on the Atomic Orbital Search-Graph Convolution Network- Long and Short-Term Memory (AOS-GCN-LSTM) model is presented to deal with this problem. First, the GCN is used to construct graph data according to node characteristics and topology information. The feature selection uses the Maximum Information Coefficient (MIC) to extract the spatial correlation of the adjacent field source radiation. At the same time, the LSTM is used to capture the temporal correlation characteristics of different position field strengths in space. Then, the AOS is used to optimize the model with a hyperparameter. In addition, the simulation data of the full-wave simulation model of the spatial electric field generated by switch operation in a 220 kV GIS substation is an example of verification. The results show that the prediction error of the proposed method is below 3%, and it has strong adaptability to the application environment and good prediction performance.

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

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