Cooperative Multi-Agent Diagnosis Substation Faults Based on Artificial Immune Theory
نویسندگان
چکیده
Based on Multi-Agent (MA) technology and Artificial Immune (AI) theory, a novel substation fault diagnosis approach is proposed in the paper. The method firstly considers substation fault diagnosis a global complicated problem in uncertainty environment, and decomposes it into several relatively-simple local sub-problems based on ontology concept. Then diagnosis agent is respectively designed for every local sub-problem and cooperative multi-agent systems are applied for distributed substation fault diagnosis. In process of diagnosis, the method fully embodies the characteristics of learning-memory-forgetting of immune diagnosis agents, and that consequently facilitates the evolution of agent colony. Related to substation fault diagnosis, that is, error tolerance ability of systems is dramatically improved. Eventually, a simulation example in substation fault diagnosis shows the availability of the method. Key-Words: Substation; Fault diagnosis; Ontology; Cooperative Multi-Agent Systems; Artificial Immunity
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