基于信息趋势预测和组合赋权的智能变电站继电保护系统状态模糊综合评价
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摘要
智能变电站建设为二次设备实时信息的获取提供了条件,准确了解继电保护系统的状态对提高供电可靠性具有重要作用。根据智能变电站的信息流向和设备功能建立基于实时自检信息和关键历史信息的状态评价信息模型,考虑传统状态评价方法对系统状态的评估具有滞后性,提出基于信息趋势预测的惩罚修正策略,根据趋势预测的结果选取岭形模糊隶属度函数进行模糊处理;采用层次分析法和反熵权法结合的组合赋权方法进行权重设定,克服了传统熵权法灵敏度太高的缺陷。将所提方法与传统方法进行对比验证,仿真结果表明所提方法可以有效地提高状态评价结果的准确性和及时性。
The construction of intelligent substation provides conditions for the acquisition of real-time information of the secondary equipment. Accurate understanding of the state of relay protection system plays an important role in improving the reliability of power supply. According to the information flow and equipment functions of intelligent substation,the state evaluation information model based on real-time selfchecking information and key historical information is established. Taking the hysteresis quality of traditional state evaluation method on the system's state into account,the correction strategy based on information trend prediction is proposed. Mountain shaped fuzzy subordinate function is selected for fuzzy processing according to trend prediction results. The weights are set by combination weighting method combining with the analytic hierarchy process method and anti-entropy weighting method,which overcomes the too-high sensitivity of traditional entropy weighting method. Compared with the traditional method,simulative results show that the proposed method can improve the accuracy and timeliness of state evaluation results effectively.
The construction of intelligent substation provides conditions for the acquisition of real-time information of the secondary equipment. Accurate understanding of the state of relay protection system plays an important role in improving the reliability of power supply. According to the information flow and equipment functions of intelligent substation,the state evaluation information model based on real-time selfchecking information and key historical information is established. Taking the hysteresis quality of traditional state evaluation method on the system's state into account,the correction strategy based on information trend prediction is proposed. Mountain shaped fuzzy subordinate function is selected for fuzzy processing according to trend prediction results. The weights are set by combination weighting method combining with the analytic hierarchy process method and anti-entropy weighting method,which overcomes the too-high sensitivity of traditional entropy weighting method. Compared with the traditional method,simulative results show that the proposed method can improve the accuracy and timeliness of state evaluation results effectively.
引文
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[17]王国权,王森,刘华勇,等.基于自适应的动态三次指数平滑法的风电场风速预测[J].电力系统保护与控制,2014,42(15):117-121.WANG Guoquan,WANG Sen,LIU Huayong,et al.Self-adaptive and dynamic cubic ES method for wind speed forecasting[J].Power System Protection and Control,2014,42(15):117-121.
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[20]张心洁,葛少云,刘洪,等.智能配电网综合评估体系与方法[J].电网技术,2014,38(1):40-46.ZHANG Xinjie,GE Shaoyun,LIU Hong,et al.Comprehensive assessment system and method of smart distribution grid[J].Power System Technology,2014,38(1):40-46.
[2]阮羚,谢齐家,高胜友,等.人工神经网络和信息融合技术在变压器状态评估中的应用[J].高电压技术,2014,40(3):822-828.RUAN Ling,XIE Qijia,GAO Shengyou,et al.Application of artificial neural network and information fusion technology in power transformer condition assessment[J].High Voltage Engineering,2014,40(3):822-828.
[3]杜林,袁蕾,熊浩,等.电力变压器运行状态可拓层次评估[J].高电压技术,2011,37(4):897-903.DU Lin,YUAN Lei,XIONG Hao,et al.Extension hierarchy assessment for operating condition of power transformer[J].High Voltage Engineering,2011,37(4):897-903.
[4]吴姜,蔡泽祥,胡春潮.基于模糊正态分布隶属函数的继电保护装置状态评价[J].电力系统保护与控制,2012,40(5):48-52.WU Jiang,CAI Zexiang,HU Chunchao.Status evaluation of protective relays based on the membership function in fuzzy normal distribution[J].Power System Protection and Control,2012,40(5):48-52.
[5]宋人杰,陈禹名.基于变权系数的继电保护状态模糊综合评价方法[J].电力系统保护与控制,2016,44(3):46-50.SONG Renjie,CHEN Yuming.Fuzzy synthetic evaluation of relay protection based on variable weight value[J].Power System Protection and Control,2016,44(3):46-50.
[6]王跃强,廖华兴,袁晓青,等.基于保信系统的继电保护状态评价系统的开发与应用[J].电力系统保护与控制,2014,42(8):134-139.WANG Yueqiang,LIAO Huaxing,YUAN Xiaoqing,et al.Development and application of relay protection condition evaluation system based on fault information processing system[J].Power System Protection and Control,2014,42(8):134-139.
[7]段若晨,王丰华,顾承昱,等.采用改进层次分析法综合评估500 k V输电线路防雷改造效果[J].高电压技术,2014,40(1):131-137.DUAN Ruochen,WANG Fenghua,GU Chengyu,et al.Comprehensive evaluation of 500 k V transmission line lightning protection effect based on improved analytic hierarchy process[J].High Voltage Engineering,2014,40(1):131-137.
[8]肖峻,王成山,周敏.基于区间层次分析法的城市电网规划综合评判决策[J].中国电机工程学报,2004,24(4):54-61.XIAO Jun,WANG Chengshan,ZHOU Min.ANIAHP-based MADMmethod in urban power system planning[J].Proceedings of the CSEE,2004,24(4):54-61.
[9]罗毅,李昱龙.基于熵权法和灰色关联分析法的输电网规划方案综合决策[J].电网技术,2013,37(1):77-81.LUO Yi,LI Yulong.Comprehensive decision-making of transmission network planning based on entropy weight and grey relational analysis[J].Power System Technology,2013,37(1):77-81.
[10]欧阳森,石怡理.改进熵权法及其在电能质量评估中的应用[J].电力系统自动化,2013,37(21):156-159,164.OUYANG Sen,SHI Yili.A new improved entropy method and its application in power quality evaluation[J].Automation of Electric Power Systems,2013,37(21):156-159,164.
[11]杨志超,张成龙,葛乐,等.基于熵权法的绝缘子污闪状态模糊综合评价[J].电力自动化设备,2014,34(4):90-94.YANG Zhichao,ZHANG Chenglong,GE Le,et al.Comprehensive fuzzy evaluation based on entropy weight method for insulator flashover pollution[J].Electric Power Automation Equipment,2014,34(4):90-94.
[12]彭志峰,杨明玉.基于变权理论的继电保护状态评价方法[J].中国电力,2014,47(4):92-96.PENG Zhifeng,YANG Mingyu.Status evaluation method of relay protection based on the variable weight theory[J].Electric Power,2014,47(4):92-96.
[13]陈晶腾,林韩,蔡金锭,等.一种引入熵函数进行组合赋权的直流落点选择方法[J].电力自动化设备,2015,35(1):146-152.CHEN Jingteng,LIN Han,CAI Jinding,et al.DC-link location selection by combination weighting based on entropy function[J].Electric Power Automation Equipment,2015,35(1):146-152.
[14]周湶,徐智,廖瑞金,等.基于云理论和核向量空间模型的电力变压器套管绝缘状态评估[J].高电压技术,2013,39(5):1101-1106.ZHOU Quan,XU Zhi,LIAO Ruijin,et al.Insulation condition assessment of power transformer bushing based on cloud model and kernel vector space model[J].High Voltage Engineering,2013,39(5):1101-1106.
[15]吕朋蓬,赵晋泉,李端超,等.电网运行状态评价指标体系与综合评价方法[J].电网技术,2015,39(8):2245-2252.L譈Pengpeng,ZHAO Jinquan,LI Duanchao,et al.An assessment index system for power grid operation status and corresponding synthetic assessment method[J].Power System Technology,2015,39(8):2245-2252.
[16]李春杰,程艳从,赵会茹.基于效用函数的电力普遍服务综合效用评价[J].电力系统自动化,2012,36(22):50-54.LI Chunjie,CHENG Yancong,ZHAO Huiru.Comprehensive utility evaluation of electric power universal service based on utility function[J].Automation of Electric Power Systems,2012,36(22):50-54.
[17]王国权,王森,刘华勇,等.基于自适应的动态三次指数平滑法的风电场风速预测[J].电力系统保护与控制,2014,42(15):117-121.WANG Guoquan,WANG Sen,LIU Huayong,et al.Self-adaptive and dynamic cubic ES method for wind speed forecasting[J].Power System Protection and Control,2014,42(15):117-121.
[18]汪培庄,李洪兴.模糊系统理论与模糊计算机[M].北京:科学出版社,1996:20-55.
[19]张海瑞,韩冬,刘玉娇,等.基于反熵权法的智能电网评价[J].电力系统保护与控制,2012,40(11):24-29.ZHANG Hairui,HAN Dong,LIU Yujiao,et al.Smart grid evaluation based on anti-entropy weight method[J].Power System Protection and Control,2012,40(11):24-29.
[20]张心洁,葛少云,刘洪,等.智能配电网综合评估体系与方法[J].电网技术,2014,38(1):40-46.ZHANG Xinjie,GE Shaoyun,LIU Hong,et al.Comprehensive assessment system and method of smart distribution grid[J].Power System Technology,2014,38(1):40-46.