基于人工智能的电气自动化控制方法优化
Optimization of Electrical Automation Control Method Based on Artificial Intelligence
乔雅婷 1梁丽婕1
作者信息
- 1. 国网山西省电力公司超高压变电分公司,山西 太原 030032
- 折叠
摘要
随着电力系统规模的扩大和复杂性的增加,传统的电气自动化控制方法已难以满足现代电网的需求.提出了一种融合深度学习、强化学习、专家系统的电气自动化控制优化方法,旨在提高电网的智能化水平和运行效率.通过实验验证,该方法在负荷预测精度、控制策略优化、故障处理速度等方面均优于传统方法,为智能电网的发展提供了新思路.
Abstract
With the expansion and complexity of power system,the traditional electrical automation control method has been difficult to meet the needs of modern power grid.An electrical automation control optimization method combining deep learning,reinforcement learning and expert system is proposed to improve the intelligent level and operation efficiency of power grid.The experimental results show that this method is superior to the traditional method in load forecasting accuracy,control strategy optimization and fault handling speed,which provides a new idea for the development of smart grid.
关键词
电气自动化控制/人工智能/深度学习Key words
electrical automation control/artificial intelligence/deep learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据