CAJ | 학술논문

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。
제출료기우경향기함수신경망락적전망모호원포고장진단방법，지재유효해결신경망락응용우전망고장진단소면림적괄응망락탁복결구변화적가이식성문제。해방법이단개선로、모선화변압기위원포대상，이보호각원포적소유관련보호화대응적단로기위수입，건립료원포통용신경망락진단모형，병급출료고장진단시모형적자동생성방법。차외，고필도전망고장신식존재불완비성화불학정성，본문채용모호시상도래묘술전망원건、보호화단로기지간적라집추리관계，병제취출온함불학정성적모호추리규칙，용우훈련원포통용신경망락。산례방진결과표명，해방법간단、유효，능처리각충복잡고장정황，차능유효괄응망락탁복결구적변화，구유량호적용착성화가이식성。
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.