王东芳,黄国权,黄廷城,张勇军
WANG Dongfang,HUANG Guoquan,HUANG Tingcheng,ZHANG Yongjun

• 1:广东电网有限责任公司河源供电局
• 2:智慧能源工程技术研究中心华南理工大学电力学院

摘要(Abstract)：

信息物理融合技术增强了配电网一二次设备间相互耦合和影响,为全面反映柱上开关一、二次部分整体的运行状态,在当前的柱上开关运行状态在线监测指标体系基础上,针对柱上开关一二次融合的特性提出了二次部分与非运行状态评价指标,采用组合加权法确定指标权重并结合模糊综合评价法对一二次融合柱上开关状态进行评估。在权重设置上,采用熵权法分析柱上开关设备在一个巡检周期内的状态量变化趋势,以突出其在具体阶段各指标的数据劣化变值权重。进而综合数据劣化变值权重与指标重要度定值权重对指标赋权。最后,采用柱上开关的实际运行监测数据进行综合评估分析,算例结果验证了该方法相比于定权法更能准确评估柱上开关运行状态。
Cyber-physical fusion enhances the coupling and influence of primary and secondary equipment in distribution network. To fully reflect the operating state of primary and secondary components of pole-mounted switch, this paper, in view of the characteristics of the primary and secondary fusion, proposes the evaluation index for the paper adopts the entropy weight method to analyze the state quantity change trend of the polemounted switch in an inspection cycle, which can highlight the weight of deterioration index of specific equipment in specific stages. Moreover, this paper combines the data deterioration weights and the index importance weights to weigh the index synthetically. Finally, the actual operation monitoring data of the polemounted switch is used for comprehensive evaluation and analysis. The results of the example verify that the method in this paper can more accurately evaluate the pole-mounted switch operation status than the fixed weight method.

关键词(KeyWords)： 一二次融合;柱上开关;数据劣化度;指标重要度;组合权重
primary and secondary fusion;pole-mounted switch;data deterioration;index importance;combined weight

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 王东芳,黄国权,黄廷城,张勇军
WANG Dongfang,HUANG Guoquan,HUANG Tingcheng,ZHANG Yongjun

DOI: 10.19585/j.zjdl.202002008

参考文献(References)：

• [1]兰剑,王承玉,李庆余.中国配电开关应关注的发展热点[J].高压电器,2015,51(10):217-220.
• [2]YANG T,ZHAI F,LIU J L,et al.Self-organized cyber physical power system blockchain architecture and protocol[J].International Journal of Distributed Sensor Networks,2018,14(10):1-9.
• [3]GUO J,WANG Y F,GUO C X,et al.Cyber-Physical Power System(CPPS)reliability assessment considering cyber attacks against monitoring functions[C]//2016 IEEE Power and Energy Society General Meeting(PESGM).New York,USA:IEEE,2016.
• [4]赵俊华,文福拴,薛禹胜,等.电力CPS的架构及其实现技术与挑战[J].电力系统自动化,2010,34(16):1-7.
• [5]张勇军,陈泽兴,蔡泽祥,等.新一代信息能源系统:能源互联网[J].电力自动化设备,2016,36(9):1-7.
• [6]朱吉然,冷华,王伊健,等.配电自动化终端状态评价研究[J].供用电,2017,34(2):59-63.
• [7]于婧洋.配网设备状态评价与风险评估模型的探索研究[D].长春:吉林大学,2015.
• [8]熊江咏,杨桂平,郭毅,等.ECT与EVT在智能配电设备一二次融合中相融性分析[J].电力电容器与无功补偿,2019,40(1):108-114.
• [9]黎鹏,黄道春,阮江军,等.柱上开关开断对二次智能设备的电磁干扰研究[J].电工技术学报,2015,30(8):27-37.
• [10]袁浩,屈刚,庄卫金,等.电网二次设备状态监测内容探讨[J].电力系统自动化,2014,38(12):100-106.
• [11]郭以贺.中压电力线通信关键技术研究[D].北京:华北电力大学,2014.
• [12]ZHOU Y,MA L,YANG J,et al.Entropy Weight Health Index method of power transformer condition assessment[C]//2011 9th International Conference on Reliability,Maintainability and Safety.New York,USA:IEEE,2011.
• [13]李济沅,邱玉婷,于竞哲,等.基于灰色关联度和TOPSIS的真空断路器运行状态综合评估[J].高压电器,2017,53(3):242-247.
• [14]LU H X,YE Y D,CHEN G.Transformer fault diagnosis algorithm based on entropy-weighting information bottleneck method[C]//2015 International Conference on CyberEnabled Distributed Computing and Knowledge Discovery.New York,USA:IEEE,2015.
• [15]赵晓明,余志慧,张雪松.考虑隶属度可变的继电保护变权模糊综合状态评价方法[J].电力系统保护与控制,2017,45(15):22-29.
• [16]李海英,冯冬,宋建成.中压真空断路器的模糊-证据理论在线状态评估模型[J].高压电器,2013,49(1):40-45.
• [17]马良.配电自动化二次设备状态评估技术研究[D].济南:山东大学,2018.
• [18]龚方亮,牟龙华,郭文明,等.基于D-S证据理论的配电终端状态诊断[J].电力系统保护与控制,2018,46(1):30-36.
• [19]王洪,卢志涛,王少博,等.基于人工智能的电网用蓄电池健康度评估[J].广东电力,2019,32(4):79-84.
• [20]黄廷城,叶琳浩,张勇军.基于AHP-熵权法的配电网用电可靠性综合评估[J].广东电力,2018,31(1):44-50.
• [21]李海英,冯冬,宋建成.中压真空断路器状态的雷达图法评估模型[J].电网技术,2013,37(7):2053-2059.
• [22]杨博雯,钱伟懿.粒子群优化算法中惯性权重改进策略综述[J].渤海大学学报(自然科学版),2019,40(3):274-288.
• [23]陈艳.基于IC A和自适应混合智能算法的应用[J].浙江水利水电学院学报,2019,31(1):68-72.