基于语义网的智能站继电保护隐性故障辨识诊断技术研究

继电保护系统的隐性故障是造成保护误动或拒动、系统失稳并造成大面积停电的重要原因之一。分析了继电保护隐性故障机理,应用语义网技术,在CLIPS平台上建立了智能变电站领域知识库和继电保护隐性故障辨识规则库。对变电站一次系统、二次系统、通信系统、辅助系统的建模体系进行说明,并在此建模基础上进一步关联了隐性故障辨识规则库。同时,以某500 kV智能变电站为例,通过可视化平台验证了静态特性、动态特性和不确定隐性故障辨识规则与处理策略的有效性,为智能变电站运维检修及故障排查提供决策依据。

Research of identification and diagnosis technology for protection relay hidden fault in smart substation based on semantic web

The hidden fault of the relay protection system is one of the important reasons for the protection malfunction or refusal, and the power system instability. The hidden failure mechanism of relay protection is analyzed. Based on the semantic web technology, the smart substation domain knowledge base and the relay protection hidden fault identification rule base are established on the C Language Integrated Production System (CLIPS) platform. The modeling system of substation primary system, secondary system, communication system and auxiliary system is explained, and the implicit fault identification rule base is further correlated on the basis of this modeling. At the same time, taking a 500 kV intelligent substation as an example, the effectiveness of static characteristics, dynamic characteristics and uncertain hidden fault identification rules and processing strategies are verified by the visualization platform, which provides decision-making basis for intelligent substation operation and maintenance inspection and troubleshooting. This work is supported by Science and Technology Project of the Headquarter of State Grid Corporation of China (No. JBB17201500108) and Science and Technology Project of State Grid Anhui Electric Power Company (No. 52120015007T).