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人工智能技术为广域后备保护容错性的研究提供了有力的技术平台。借助人工智能技术,文中提出了基于相邻变电站信息融合的广域后备保护算法,用于变电站集中式结构的后备保护。该保护系统收集所在变电站及相邻变电站内的各种主保护信息和后备保护信息,对获取的信息采取融合策略,构成遗传算法的适应度函数,通过遗传算法的最优搜索决策,纠正所在变电站内缺失或错误的信息。对IEEE 5机14节点系统的仿真结果表明,所提出的算法简单可行、可靠性高。
Artificial intelligence technology provides a powerful technology platform for the research of wide area backup protection fault tolerance. With artificial intelligence technology, this paper proposes a wide area back-up protection algorithm based on information fusion of adjacent substations, which is used for backup protection of substation centralized structure. The protection system collects various kinds of main protection information and back-up protection information in the substation and adjacent substations, and adopts the fusion strategy to obtain the information to form the fitness function of the genetic algorithm. The optimal search decision of the genetic algorithm is used to correct the substation Missing or wrong information. The simulation results of the IEEE 5-bus 14-bus system show that the proposed algorithm is simple and feasible and has high reliability.