电器与能效管理技术Issue(6)：70-79,10.DOI:10.16628/j.cnki.2095-8188.2024.06.011
基于人工智能的变电站倒闸智能防误技术研究与应用
Research and Application of Intelligent Anti-Misoperation Technolgy for Substation Switching Operation Based on Artificial Intelligence
胡新雨 1郁海彭 1何智 1赵缪敏 1邢松尧 1张进伟2
作者信息
- 1. 国网江苏省电力有限公司 南通供电分公司,江苏 南通 260001
- 2. 北京电链科技有限公司,北京 100020
- 折叠
摘要
Abstract
In response to the current lack of effective error prevention verification methods and low level of intelligence in operation tickets,a knowledge graph based intelligent error prevention technology for substation switching is proposed by combining deep reinforcement learning algorithms.Firstly,the data such as power grid equipment topology and scheduling error prevention regulations is utilized to constructe a physical entity graph and an error prevention semantic graph of the equipment,and a scheduling knowledge graph is automatically fused to form.Then,based on intelligent error prevention algorithms,a graph of error prevention regulations is constructed to automatically generate the optimal switching operation sequence that complies with the error prevention regulations,and the intelligent error prevention verification is achieved.Finally,the practicality of knowledge graph intelligent error prevention,the performance of deep reinforcement learning,and the efficiency of intelligent error prevention are analyzed through examples.The results show that the proposed method has certain advantages in improving the efficiency and accuracy of intelligent error prevention for switching.关键词
倒闸操作/智能防误/深度强化学习/知识图谱Key words
switching operation/intelligent error prevention/deep reinforcement learning/knowledge graph分类
信息技术与安全科学引用本文复制引用
胡新雨,郁海彭,何智,赵缪敏,邢松尧,张进伟..基于人工智能的变电站倒闸智能防误技术研究与应用[J].电器与能效管理技术,2024,(6):70-79,10.
