基于语义网的智能变电站运维专家系统可扩展建模与应用

针对智能变电站运维专家系统存在知识内容变更困难与扩展性差的难题，提出了一种基于语义网的智能变电站专家系统知识库建模方法。首先，分析语义网的基本概念与功能，建立基于语义网变电站运维专家系统建模的技术基础。其次，从智能变电站设备配置、IED配置和通信配置三个层面建立可扩展性模型，并分析可扩展模型优点。以天目湖智能变电站为对象，对建模过程、模型及可扩展性进行说明，并基于CLIPS(C Language Integrated Production System)平台对相关模型进行验证。建模及仿真验证表明，语义网使知识库的构造更加体系化，提高了知识库不同概念之间的逻辑性和统一性，从而达到提高专家系统知识库扩展性和规则库规则复用性。

Modeling and application of expert system for scalable smart substation based on semantic web

Nowadays, there exist problems in smart substation operation and maintenance expert system, such as difficulties of knowledge content change and poor scalability. Therefore, a new knowledge structure modeling method ofsmart substation expert knowledge database based on the conception of semantic network is proposed. Firstly, the basic conception and functions of semantic web are analyzed so as to build technological base for smart substation expert knowledge database modelling. Secondly, a scalable model is established from three aspects including smart substation equipment configuration, IED configuration, and communication configuration. Thirdly, Tianmuhu smart substation model is chosen as an example to clarify the expert system modelling process and its expansibility. In addition, the C Language Integrated Production System (CLIPS) platform is used to verify the models. Through modeling and simulation, it is shown that the structure of semantic-network-based knowledge base is more systematic. The logic and uniformity among different concepts in knowledge base are improved, so that the goals of improving the expansibility of expert system knowledge base and the reuse rate of the rule base can be achieved. This work is supported by Science & Technology Project of Shanghai Electric Power Company of SGCC:Research on Image Simulation Technology of Secondary System of Intelligent Substation Based on SCD (No. 520940150013).