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机构地区:[1]山东大学电气工程学院,山东省济南市250061
出 处:《中国电机工程学报》2012年第4期85-92,14,共8页Proceedings of the CSEE
基 金:山东省自然科学基金项目(2009ZRB02446)~~
摘 要:为了进一步提高诊断算法的效率以及准确度,提出了通过完备的知识表示方法进行电网故障诊断的方案。通过对故障时刻电网拓扑以及各类保护知识的表达,将充分的故障诊断知识提供给诊断算法,这使其可在多类信息的基础上对故障元件进行准确的判断,并且通过对知识的优化降低了故障诊断算法的复杂程度。运用Petri对故障知识进行逻辑推理,即使在保护和断路器有误动、拒动的情况下仍然准确判断出故障元件。仿真结果表明,该方法在诊断效率与准确性方面能够满足实际需求,可作为智能电网自愈程序的接口。For further improvements on the efficiency and accuracy of the fault diagnosis,this paper proposed a scheme in which fault diagnosis was done through comprehensive representations of knowledge.Sufficient fault diagnosis knowledge was provided to the diagnosis algorithm through the representation of network topology and the various protections knowledge.In this way,the fault diagnosis program can make an accurate judgment on faulty components with all kinds of information,and the optimization of knowledge can make the fault diagnosis method simple.The Petri net was used to do the logical inference on the base of knowledge,which can judge the faulty components accurately even with mal-operations of protective relays and circuit breakers.Simulation results show that the proposed method can meet the requirements of practical applications,and the program can be applied as the interface of the self-healing process in smart grids.
关 键 词:输电网 故障诊断 拓扑分析 知识表示 PETRI网
分 类 号:TM71[电气工程—电力系统及自动化]
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