检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:熊国江[1] 石东源[1] 朱林[1] 陈祥文[2]
机构地区:[1]强电磁工程与新技术国家重点实验室,华中科技大学,湖北省武汉市430074 [2]华中电网有限公司,湖北省武汉市430077
出 处:《电力系统自动化》2014年第5期59-65,共7页Automation of Electric Power Systems
基 金:国家自然科学基金资助项目(50907024,51107048)~~
摘 要:提出了基于径向基函数神经网络的电网模糊元胞故障诊断方法,旨在有效解决神经网络应用于电网故障诊断所面临的适应网络拓扑结构变化的可移植性问题。该方法以单个线路、母线和变压器为元胞对象,以保护各元胞的所有关联保护和对应的断路器为输入,建立了元胞通用神经网络诊断模型,并给出了故障诊断时模型的自动生成方法。此外,考虑到电网故障信息存在不完备性和不确定性,本文采用模糊矢状图来描述电网元件、保护和断路器之间的逻辑推理关系,并提取出蕴含不确定性的模糊推理规则,用于训练元胞通用神经网络。算例仿真结果表明,该方法简单、有效,能处理各种复杂故障情况,且能有效适应网络拓扑结构的变化,具有良好的容错性和可移植性。A fuzzy cellular fault diagnosis method of power grids based on the radial basis function neural network is proposed for solving the transportability problem of adapting to the network topology changes when applying neural networks to fault diagnosis of power grids.This method takes single line,bus and transformer as a cellular obj ect,and takes all the associated protective relays (PRs) and circuit breakers (CBs) used to protect the cellule as inputs to develop a generalized cellular neural network diagnostic model.Moreover,a method for automatic generation of the diagnostic model during fault diagnosis is presented.In addition,taking into account the fault information”s characteristic of incompleteness and uncertainty,a fuzzy sagittal diagram for each cellular type is adopted to describe the logic reasoning relationships between the components,PRs, and CBs.From the diagram,multiple fuzzy reasoning rules containing uncertainties can be extracted to train the generalized cellular neural network.The simulation results show that the proposed method is simple,efficient,and can solve different complex faults. Moreover, it can effectively adapt to network topology changes and has good fault tolerance and transportability.
关 键 词:电力系统 元胞故障诊断 径向基函数神经网络 模糊矢状图 可移植性
分 类 号:TM73[电气工程—电力系统及自动化]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.116.170.100