智能用电非侵入式负荷监测系统研究
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摘要
能源互联网对智能电网的数据交互与信息挖掘提出了更高的要求。非侵入式负荷监测技术能够挖掘用户用电负荷状态信息,在智能用电领域受到日益广泛的重视。针对现有非侵入式负荷监测系统只能解决用户端负荷数据挖掘,难以实现电网与用户的双向交互及用户信息深度挖掘等问题,提出智能用电非侵入式负荷监测系统及其技术架构设计,并从信息通信、负荷识别和数据挖掘等方面分析论述该系统的实现与应用技术方案。
With the development of Global Energy Internet(GEI), the research of data interaction and information mining for Smart Grid plays more important roles. Non-intrusive load monitoring(NILM) can be utilized to mine customers' load status and has attracted many attentions in the field of intelligent power utilization. In this paper, a NILM system and its technology architecture is proposed to solve the problems of utility-customers interaction and deep excavation in customer information. Finally, the implementation and application of this system is analyzed in terms of the information communication, load identification and data mining.
With the development of Global Energy Internet(GEI), the research of data interaction and information mining for Smart Grid plays more important roles. Non-intrusive load monitoring(NILM) can be utilized to mine customers' load status and has attracted many attentions in the field of intelligent power utilization. In this paper, a NILM system and its technology architecture is proposed to solve the problems of utility-customers interaction and deep excavation in customer information. Finally, the implementation and application of this system is analyzed in terms of the information communication, load identification and data mining.
引文
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[18]李泽文,邓拓夫,曾祥君,等.智能电网能量流的时空多尺度大数据探讨[J].电力科学与技术学报,2015,30(1):22-27.LI Ze-wen,DENG Tuo-fu,ZENG Xiang-jun,et al.Study on big data with time space multi-scale for smart grid power flow[J].Journal of Electric Power Science and Technology,2015,30(1):22-27.
[2]曾鸣,杨雍琦,李源非,等.能源互联网背景下新能源电力系统运营模式及关键技术初探[J].中国电机工程学报,2016,36(3):681-691ZENG Ming,YANG Yong-qi,LI Yuan-fei,et al.The preliminary research for key operation mode and technologies of electrical power system with renewable energy sources under Energy Internet[J].Proceedings of the CSEE,2016,36(3):681-691.
[3]曾鸣,杨雍琦,刘敦楠,等.能源互联网“源-网-荷-储”协调优化运营模式及关键技术[J].电网技术,2016,40(1):114-124.ZENG Ming,YANG Yong-qi,LIU Dun-nan,et al.“Generation-Grid-Load-Storage” coordinative optimal operation mode of Energy Internet and key technologies[J].Power System Technology,2016,40(1):114-124.
[4]李志强,高大兵,苏盛,等.基于大数据的智能电表入侵检测方法[J].电力科学与技术学报,2016,31(1):121-126.LI Zhi-qiang,GAO Da-bing,SU Sheng,et al.Big data based intrusion detection method of smart meters[J].Journal of Electric Power Science and Technology,2016,31(1):121-126.
[5]Hart G W.Nonintrusive appliance load monitoring[J].Proceedings of the IEEE,1992,80(12):1 870-1 891.
[6]余贻鑫,栾文鹏.智能电网述评[J].中国电机工程学报,2009,29(34):1-8.YU Yi-xin,LUAN Wen-peng.Smart grid and its implementations[J].Proceedings of the CSEE,2009,29(34):1-8.
[7]孙毅,崔灿,陆俊,等.基于遗传优化的非侵入式家居负荷分解方法[J].电网技术,2016,40(12):3 912-3 917.SUN Yi,CUI Can,LU Jun,et al.A non-intrusive household load monitoring method based on genetic optimization[J].Power System Technology,2016,40(12):3 912-3 917.
[8]黎鹏,余贻鑫.非侵入式电力负荷在线分解[J].天津大学学报:自然科学与工程技术版,2009,42(4):303-308.LI Peng,YU Yi-xin.Nonintrusive method for on-line power load decomposition[J].Journal of Tianjin University:Natural Science and Engineering Technology,2009,42(4):303-308.
[9]Liang J,Ng S K K,Kendall G,et al.Load signature study—Part I:Basic concept,structure,and methodology[J].IEEE Transactions on Power Delivery,2010,25(2):551-560.
[10]Lin Y H ,Tsai M S .Non-intrusive load monitoring by novel neuro-fuzzy classification considering uncertainties[J].IEEE Transactions on Smart Grid,2014,5(5):2 376-2 384.
[11]牛卢璐,贾宏杰.一种适用于非侵入式负荷监测的暂态事件检测算法[J].电力系统自动化,2011,35(9):30-35.NIU Lu-lu,JIA Hong-jie.Transient event detection algorithm for non-intrusive load monitoring[J].Automation of Electric Power Systems,2011,35(9):30-35.
[12]崔灿,孙毅,陆俊,等.基于混合CS的WSN六边形格状优化分簇路由算法研究[J].通信学报,2016,37(5):176-183.CUI Can,SUN Yi,LU Jun,et al.Research on a hexagonal lattice optimal clustering routing algorithm based on hybrid CS for WSN[J].Journal on Communications,2016,37(5):176-183.
[13]冯森.面向智能配用电的无线传感器网络路由优化协议研究[D].北京:华北电力大学,2015.
[14]马韬韬,李珂,朱少华,等.智能电网信息和通信技术关键问题探讨[J].电力自动化设备,2010,30(5):87-91.MA Tao-tao,LI Ke,ZHU Shao-hua,et al.Discussion about information and communication technology of smart grid[J].Electric Power Automation Equipment,2010,30(5):87-91.
[15]彭小圣,邓迪元,程时杰,等.面向智能电网应用的电力大数据关键技术[J].中国电机工程学报,2015,35(3):503-511.PENG Xiao-sheng,DENG Di-yuan,CHENG Shi-jie,et al.Key technologies of electric power big data and its application prospects in smart grid[J].Proceedings of the CSEE,2015,35(3):503-511.
[16]王德文,孙志伟.电力用户侧大数据分析与并行负荷预测[J].中国电机工程学报,2015,35(3):527-537.WANG De-wen,SUN Zhi-wei.Big data analysis and parallel load forecasting of electric power user side[J].Proceedings of the CSEE,2015,35(3):527-537.
[17]项胜,何怡刚,王金平.家庭智能用电系统的实现方法[J].电力科学与技术学报,2014,29(3):40-44.XIANG Sheng,HE Yi-gang,WANG Jin-ping.The implementation of domestic intelligent energy system[J].Journal of Electric Power Science and Technology,2014,29(3):40-44.
[18]李泽文,邓拓夫,曾祥君,等.智能电网能量流的时空多尺度大数据探讨[J].电力科学与技术学报,2015,30(1):22-27.LI Ze-wen,DENG Tuo-fu,ZENG Xiang-jun,et al.Study on big data with time space multi-scale for smart grid power flow[J].Journal of Electric Power Science and Technology,2015,30(1):22-27.