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作 者:吴文可[1] 文福拴[2] 薛禹胜[3] 周华锋[4] 李晓露[5]
机构地区:[1]华南理工大学电力学院,广东省广州市510640 [2]浙江大学电气工程学院,浙江省杭州市310027 [3]南瑞集团公司(国网电力科学研究院),江苏省南京市211106 [4]中国南方电网电力调度控制中心,广东省广州市510623 [5]阿尔斯通电网技术中心有限公司,上海市201114
出 处:《电力系统自动化》2013年第24期43-53,共11页Automation of Electric Power Systems
基 金:国家科技支撑计划资助项目(2011BAA07B02);南方电网公司重点科技项目(K-ZB2011-012)~~
摘 要:提出一种基于电气量判据、保护判据和断路器判据,并能够计及这3类判据时序属性的多源信息延时约束加权模糊Petri网故障诊断模型。首先,分析故障前后的电力网络拓扑以确定可疑故障元件。之后,采用反向推理寻径法识别故障元件动作可能路径,并在此基础上构造加权模糊Petri网故障诊断模型来确定故障元件;该模型能够计及故障电气量及其时序属性、元件故障和保护动作之间、保护动作和断路器跳闸之间的延时约束以及保护和断路器动作不确定性,且诊断推理全程采用矩阵运算来实现。在上述基础上,采用逆向推理判断警报信息的完整性和正确性,识别出误动或拒动的保护与断路器。最后,用IEEE 39节点系统和贵州兴仁变电站实际故障案例对所构建的故障诊断模型的正确性和求解方法的有效性作了验证。Based on the criteria for electrical data,protective relays and circuit breakers,a weighted fuzzy Petri net based model with time-delay constraints for power system fault diagnosis employing information from multiple sources is presented,in which the temporal features of the three criteria are taken into account.First,the candidate fault components are identified by analyzing the power network topologies before and after the occurrence of a fault or faults.Then,the action paths can be found by the backward reasoning routing,thus the fault diagnosing model based on the weighted fuzzy Petri net is developed to identify the fault components.The electrical data and their temporal features are exploited in the development of the Petri net as well.The time-delay constraints between faulty components and operating protective relays as well as between operating protective relays and tripped circuit breakers,and the malfunctions of protective relays and circuit breakers,can be accommodated.A matrix operation based method is employed for fault diagnosis reasoning.The backward reasoning is next used to identify the malfunctioning protective relays and/or circuit breakers.Finally,the IEEE 39-bus power system and an actual fault scenario of Xingren substation in Guizhou Province are used for demonstrating the feasibility and efficiency of the fault diagnosis model and method developed.
分 类 号:TM73[电气工程—电力系统及自动化]
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