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基于改进孪生神经网络的低频低压减载装置在线解耦控制方法

于立强 刘佳言 李露 霍晓燕 李世杰

计算技术与自动化2024,Vol.43Issue(2):57-61,130,6.
计算技术与自动化2024,Vol.43Issue(2):57-61,130,6.DOI:10.16339/j.cnki.jsjsyzdh.202402010

基于改进孪生神经网络的低频低压减载装置在线解耦控制方法

On Line Decoupling Control Method of Low Frequency and Low Voltage Load Shedding Device Based on Improved Siamese Neural Network

于立强 1刘佳言 1李露 1霍晓燕 1李世杰2

作者信息

  • 1. 国网冀北承德供电公司,河北 承德 067000
  • 2. 北京科东电力控制系统有限责任公司,北京 100192
  • 折叠

摘要

Abstract

The excessive application of low frequency and low voltage load shedding devices leads to the problem of large load in the device system,which reduces the practicability of low frequency and low voltage load shedding devices.In order to solve this problem,an online decoupling control method of low frequency and low voltage load shedding devices based on improved twin neural network is proposed.By analyzing the frequency characteristics of low frequency and low voltage load shedding devices,this method provides important information for online decoupling control of low frequency and low voltage load shedding devices;On this basis,a hybrid model of low frequency and low voltage load shedding device is constructed,from which a trainable data set is generated,and the load shedding amount of low frequency and low voltage load shedding device system is determined according to the minimum sensitivity of load shedding characteristics of power flow Jacobian ma-trix;In order to improve the control accuracy of the system,the obtained results are input to the improved twin neural net-work,the optimal load shedding amount is trained,and distributed to the load shedding node of the device system,so as to achieve the purpose of cutting off the load,and realize the online decoupling control of low-frequency and low-voltage load shedding devices.The experimental results show that the method has strong practicability through the comparative test of load shedding efficiency and control performance.

关键词

改进孪生神经网络/低频低压减载装置/在线解耦控制/潮流雅可比矩阵

Key words

improved Siamese neural network/low frequency and low voltage load shedding device/on line decoupling control/power flow Jacobian matrix

分类

信息技术与安全科学

引用本文复制引用

于立强,刘佳言,李露,霍晓燕,李世杰..基于改进孪生神经网络的低频低压减载装置在线解耦控制方法[J].计算技术与自动化,2024,43(2):57-61,130,6.

计算技术与自动化

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