计算技术与自动化2024，Vol.43Issue(4)：29-34,6.DOI:10.16339/j.cnki.jsjsyzdh.202404005
基于价值函数和策略函数的站用直流电源系统电源故障预判算法
A Power Failure Prediction Algorithm for Station DC Power Supply System Based on Value Function and Strategy Function
许明政 1李仲强 1蔡志强 1刘嘉豪 1徐强1
作者信息
- 1. 国网安徽省电力有限公司超高压分公司,安徽 合肥 230000
- 折叠
摘要
Abstract
In the process of predicting power supply faults in station DC power supply systems,fault prediction mainly relies on a single value function,which cannot cope with dimensional explosions caused by weak changes in strategies,resul-ting in low G-mean values in fault prediction results.Therefore,a power failure prediction algorithm for station DC power supply systems is proposed that combines the value function and strategy function.Normalize the historical operating param-eters of the power supply,select the parameters that meet the requirements through grey analysis,and form a fault predic-tion analysis dataset.Construct a combination value function to describe the variance changes in a data sequence.The rein-forcement learning agent is composed of improved value function and strategy function,and a power failure prediction model including multi-layer perceptron network is designed.After data training and adjusting the model to be in the optimal state,high-quality DC power system power fault prediction results are obtained.The experimental results show that the G-mean value of the proposed method for power supply fault prediction is 0.98 ensuring the accuracy of the fault prediction results.关键词
价值函数/策略函数/多层感知机MLP/站用直流电源系统/电源故障/故障预判Key words
value function/strategy function/multilayer perceptron MLP/station DC power supply system/power fail-ure/fault prediction分类
信息技术与安全科学引用本文复制引用
许明政,李仲强,蔡志强,刘嘉豪,徐强..基于价值函数和策略函数的站用直流电源系统电源故障预判算法[J].计算技术与自动化,2024,43(4):29-34,6.
