多源信息融合技术在继电保护中的应用
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摘要
随着电网规模的日益扩大,电力系统已成为一个高阶非线性和高度复杂性的系统,电力系统的故障信息也呈现多样性、随机性、复杂性和深度耦合性。多源信息融合技术的使用,能够有效解决现今继电保护领域中存在的复杂性故障分析难题。首先介绍了多源信息融合技术的原理和在继电保护领域的应用现状;然后从继电保护动作新判据、数据有效性甄别、智能化继电保护等方面,详细分析了多源信息融合技术在继电保护中的利用;最后对多源信息融合技术在继电保护中的未来应用领域进行了展望。
With the continuous development of the power grid,the power system has become a high order nonlinear and highly complex system. The fault information of the power system also presents diversity,randomness,complexity and deep coupling. The application of multi-source information fusion technology can effectively solve the complex fault analysis problems in the field of relay protection. Firstly,this paper introduces the theory of multi-source information fusion technology and its application status in relay protection. Then,this paper describes the utilization of multi-source information fusion technology in relay protection from the new criteria of relay protection theory,data fault tolerance,and intelligent relay protection. Finally,the future application mode of multi-source information fusion technology in relay protection is prospected.
With the continuous development of the power grid,the power system has become a high order nonlinear and highly complex system. The fault information of the power system also presents diversity,randomness,complexity and deep coupling. The application of multi-source information fusion technology can effectively solve the complex fault analysis problems in the field of relay protection. Firstly,this paper introduces the theory of multi-source information fusion technology and its application status in relay protection. Then,this paper describes the utilization of multi-source information fusion technology in relay protection from the new criteria of relay protection theory,data fault tolerance,and intelligent relay protection. Finally,the future application mode of multi-source information fusion technology in relay protection is prospected.
引文
[1]孟凡青.基于多源信息融合技术的电网特征信号检测研究[D].上海:上海交通大学,2010.
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[9]王继业,王德林,杨国生,等.大数据技术在继电保护领域的研究与应用[J].电力信息与通信技术,2016,14(12):1-8.WANG Jiye,WANG Delin,YANG Guosheng,et al.Research and application of big data technology in relay protection[J].Electric Power Information and Communication Technology,2016,14(12):1-8.
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[12]谢国财,胡亚平,陈炯聪,等.多源异构电网参数融合方法及工程应用[J].电力系统自动化,2015,39(6):121-127.XIE Guocai,HU Yaping,CHEN Jiongcong,et al.Afusion method for multi-source and heterogeneous parameters of power grid and its engineering application[J].Automation of Electric Power Systems,2015,39(6):121-127.
[13]朱林,段献忠,苏盛,等.基于证据理论的数字化变电站继电保护容错方法[J].电工技术学报,2011,26(1):154-161.Z H U Lin,DUAN Xianzhong,SU Sheng,e t a l.Evidence theory based fault-tolerant method for protective relays in digital substations[J].Transactions of China Electrotechnical Society,2011,26(1):154-161.
[14]焦在滨,吴润东,王钊,等.利用数据融合技术提升输电线路故障定位精度的新方法[J].中国电机工程学报,2017,37(9):2571-2579.JIAO Zaibin,WU Rundong,WANG Zhao,et al.Anovel method to improve the fault location accuracy in transmission line based on data fusion technology[J].Proceedings of the CSEE,2017,37(9):2571-2579.
[15]刘广一,周建其.融合多源数据的智能配用电多时间尺度数据分析技术[J].供用电,2018,35(3):10-16.LIU Guangyi,ZHOU Jianqi.Multi-time scale data analysis technology for smart distribution and utilization system with multi-source data integration[J].Distribution&Utilization,2018,35(3):10-16.
[16]胡发林,余盛超,李鹏,等.基于多信息源的配电网主动抢修应用[J].供用电,2017,34(9):71-75.HU Falin,YU Shengchao,LI Peng,et al.Application of active emergency repair in distribution network based on multiple information sources[J].Distribution&Utilization,2017,34(9):71-75.
[17]金强,李红军,王瑞发,等.基于多源地形数据融合的配电网工程场景仿真研究[J].供用电,2017,34(9):41-45.JIN Qiang,LI Hongjun,WANG Ruifa,et al.Research on scenario simulation for distribution network projects based on multi-source terrain data fusion[J].Distribution&Utilization,2017,34(9):41-45.
[18]张波,陈福锋,王玉婷,等.特高压皖电东送线路零序互感对接地距离保护的影响[J].电力系统自动化,2013,37(21):94-98.ZHANG Bo,CHEN Fufeng,WANG Yuting,et al.Impact of zero-sequence mutual inductance in UHV Anhuitoeast power transfer lines on phase-earth distance protection[J].Automation of Electric Power Systems,2013,37(21):94-98.
[2]刘开第,吴和琴,庞彦军.不确定性信息数学处理及其应用[M].北京:科学出版社,1999:77-94.
[3]王蓓蓓,郭基伟,谢敬东,等.基于信息融合技术的电力变压器故障部位诊断[J].高压电器,2003(1):49-52.WANG Beibei,GUO Jiwei,XIE Jingdong,et al.Application of information fusion based on dempster-shafter’s evidence theory to the diagnosis of transformer’s fault position[J].High Voltage Apparatus,2003(1):49-52.
[4]王永强,律方成,李和明.基于粗糙集理论和贝叶斯网络的电力变压器故障诊断方法[J].中国电机工程学报,2006,26(8):137-141.WANG Yongqiang,LüFangcheng,LI Heming.Synthetic fault diagnosis method of power transformer based on rough set theory and bayesian network[J].Proceedings of the CSEE,2006,26(8):137-141.
[5]郭创新,高振兴,刘毅,等.采用分层多源信息融合的电网故障诊断方法[J].高电压技术,2010,36(12):2976-2983.GUO Chuangxin,GAO Zhenxing,LIU Yi,et al.Hierarchical fault diagnosis approach for power grid with information fusion using multi-data resources[J].High Voltage Engineering,2010,36(12):2976-2983.
[6]唐志军,翟博龙,林国栋,等.信息融合技术在智能变电站故障分析决策中的应用[J].电网与清洁能源,2017,33(10):84-88.TANG Zhijun,ZHAI Bolong,LIN Guodong,et al.Application of information fusion technology in the fault analysis and decision-making for smart substations[J].Power System and Clean Energy,2017,33(10):84-88.
[7]王继生,郭锐,刘方方,等.基于信息相似度的配电网故障培训评价方法[J].智慧电力,2018,46(6):95-100.WANG Jisheng,GUO Rui,LIU Fangfang,et al.Distribution network fault training evaluation method based on information similarity[J].Smart Power,2018,46(6):95-100.
[8]刘毅.电网故障诊断的多源信息融合方法研究[D].杭州:浙江大学,2010.
[9]王继业,王德林,杨国生,等.大数据技术在继电保护领域的研究与应用[J].电力信息与通信技术,2016,14(12):1-8.WANG Jiye,WANG Delin,YANG Guosheng,et al.Research and application of big data technology in relay protection[J].Electric Power Information and Communication Technology,2016,14(12):1-8.
[10]侯仁政,张岩,张小易,等.基于多源数据融合的电力系统故障诊断与评估平台开发[J].机电工程,2017,34(10):1173-1179.HOU Renzheng,ZHANG Yan,ZHANG Xiaoyi,et al.Power system fault diagnosis and evaluation platform based on multi-source data fusion[J].Journal of Mechanical&Electrical Engineering,2017,34(10):1173-1179.
[11]吴杰康,胥志强,徐庆焯,等.基于多状态信息修正优化组合的电力设备故障率计算方法[J].广东电力,2016,29(8):60-66.WU Jiekang,XU Zhiqiang,XU Qingzhuo,et al.Calculation method for fault rate of electric power equipment based on multi-state information amendment optimization combination[J].Guangdong Electric Power,2016,29(8):60-66.
[12]谢国财,胡亚平,陈炯聪,等.多源异构电网参数融合方法及工程应用[J].电力系统自动化,2015,39(6):121-127.XIE Guocai,HU Yaping,CHEN Jiongcong,et al.Afusion method for multi-source and heterogeneous parameters of power grid and its engineering application[J].Automation of Electric Power Systems,2015,39(6):121-127.
[13]朱林,段献忠,苏盛,等.基于证据理论的数字化变电站继电保护容错方法[J].电工技术学报,2011,26(1):154-161.Z H U Lin,DUAN Xianzhong,SU Sheng,e t a l.Evidence theory based fault-tolerant method for protective relays in digital substations[J].Transactions of China Electrotechnical Society,2011,26(1):154-161.
[14]焦在滨,吴润东,王钊,等.利用数据融合技术提升输电线路故障定位精度的新方法[J].中国电机工程学报,2017,37(9):2571-2579.JIAO Zaibin,WU Rundong,WANG Zhao,et al.Anovel method to improve the fault location accuracy in transmission line based on data fusion technology[J].Proceedings of the CSEE,2017,37(9):2571-2579.
[15]刘广一,周建其.融合多源数据的智能配用电多时间尺度数据分析技术[J].供用电,2018,35(3):10-16.LIU Guangyi,ZHOU Jianqi.Multi-time scale data analysis technology for smart distribution and utilization system with multi-source data integration[J].Distribution&Utilization,2018,35(3):10-16.
[16]胡发林,余盛超,李鹏,等.基于多信息源的配电网主动抢修应用[J].供用电,2017,34(9):71-75.HU Falin,YU Shengchao,LI Peng,et al.Application of active emergency repair in distribution network based on multiple information sources[J].Distribution&Utilization,2017,34(9):71-75.
[17]金强,李红军,王瑞发,等.基于多源地形数据融合的配电网工程场景仿真研究[J].供用电,2017,34(9):41-45.JIN Qiang,LI Hongjun,WANG Ruifa,et al.Research on scenario simulation for distribution network projects based on multi-source terrain data fusion[J].Distribution&Utilization,2017,34(9):41-45.
[18]张波,陈福锋,王玉婷,等.特高压皖电东送线路零序互感对接地距离保护的影响[J].电力系统自动化,2013,37(21):94-98.ZHANG Bo,CHEN Fufeng,WANG Yuting,et al.Impact of zero-sequence mutual inductance in UHV Anhuitoeast power transfer lines on phase-earth distance protection[J].Automation of Electric Power Systems,2013,37(21):94-98.