CAJ | 학술논문

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。
인공지능기술위엄역후비보호용착성적연구제공료유력적기술평태。차조인공지능기술,문중제출료기우상린변전참신식융합적엄역후비보호산법,용우변전참집중식결구적후비보호。해보호계통수집소재변전참급상린변전참내적각충주보호신식화후비보호신식,대획취적신식채취융합책략,구성유전산법적괄응도함수,통과유전산법적최우수색결책,규정소재변전참내결실혹착오적신식。대IEEE 5궤14절점계통적방진결과표명,소제출적산법간단가행、가고성고。
A powerful technical platform is provided with artificial intelligence technology for the study on fault tolerance of the wide-area backup protection system. With artificial intelligence technology, a wide-area backup protection algorithm based on information fusion with adjacent substation is proposed for application of backup protection system to the centralized substation. Wide-area backup protection system collects various main protection information and back-up protection information from the local substation and adjacent substations, and a fusion strategy is adopted for acquired information. The adaptive function of genetic algorithm （C-A） is formed. The absent or error information of local substation can be correct with the optimal search of GA. Simulation test on IEEE 5-generator, 14-bus system shows that the method is simple, effective and with high reliability.