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电力系统中变电站继电保护系统决策能力优化研究

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文章旨在优化电力系统变电站继电保护系统的性能优化.首先,分析并论述了继电保护系统基本要求;其次,针对继电保护系统常用深度学习算法存在的问题,从环境建模、奖励函数模型和ε-greedy参数调优方面入手,提出了性能优化的方法;最后,对比并分析某变电站继电保护系统性能优化情况.研究结果表明,智能技术的引入提高了继电保护系统的性能,为提高电力系统的稳定性和安全性提供了切实有效的解决方案.
Research on Decision-Making Capability Optimization of Substation Relay Protection System in Power System
The purpose of this paper is to optimize the performance optimization of substation relay protection system in power system.Firstly,the basic requirements of relay protection system are analyzed and discussed.Secondly,aiming at the problems of deep learning algorithms commonly used in relay protection systems,the performance optimization methods are proposed from the aspects of environment modeling,reward function model and ε-greedy parameter optimization.Finally,the performance optimization of relay protection system in a substation is compared and analyzed.The research results show that the introduction of intelligent technology improves the performance of relay protection system and provides a practical and effective solution to improve the stability and security of power system.

relay protection systemperformance optimizationartificial intelligence

高巍、何志雨

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内蒙古电力(集团)有限责任公司呼和浩特供电分公司,内蒙古 呼和浩特 010010

继电保护系统 性能优化 人工智能

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(1)
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