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作 者:苗红霞[1] 萧旋旋 江冰[1] 胡钢[1] MIAO Hongxia XIAO Xuanxuan JIANG Bing HU Gang(College of Intemet of Things Engineering, Hohai University, Changzhou 213000, China)
机构地区:[1]河海大学物联网工程学院,江苏常州213000
出 处:《电力系统保护与控制》2017年第14期85-91,共7页Power System Protection and Control
基 金:常州市科技攻关项目(CE20150086)
摘 要:预装式变电站将气体绝缘组合电器设备(GIS)、变压器、低压开关柜和二次设备等作为模块集成在一组外壳内,使得整个变电站成为了一个产品,故对预装式变电站的整站状态评估成为可能。提出了基于信息融合的评估方法。首先用多层模糊综合评价法、BP神经网络和灰色关联法三种方法对预装式变电站中的GIS、变压器、低压开关柜和二次设备四大模块进行状态评估。再利用DS合成法则将三种方法得出的评估结果进行融合,分别得出各个模块的综合评估结果。最后将这四大模块作为预装式变电站的评价因素,使用单层模糊综合评价法对整站进行状态评估。仿真结果表明,该方法能正确评估出预装式变电站整站的健康状态。Prefabricated substation is composed of four modules, which are insulated switchgear, transformers, low voltage switch cabinet and secondary equipment, making the whole substation become a product, so it's possible to assess the overall status of it. In this paper, an evaluation method based on information fusion is proposed. The multilayer fuzzy comprehensive evaluation method, BP neural network and grey correlation method are used to assess the four modules to get the evaluation results. Then, the DS combination rule is used to fuse the evaluation results. Finally, the fuzzy comprehensive evaluation method is used again to assess the status of the prefabricated substation based on the four modules evaluation results. Simulation results show that the proposed method can correctly evaluate the operating status of the preinstalled substation.
关 键 词:预装式变电站状态评估 信息融合 模糊综合评判 神经网络 灰色关联
分 类 号:TM63[电气工程—电力系统及自动化]
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