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.
引文
[1]孙毅,许鹏,单葆国,等.售电侧改革背景下“互联网+”电能替代发展路线[J].电网技术,2016,40(12):3 648-3 654.SUN Yi,XU Peng,SHAN Bao-guo,et al.Road map for “Internet Plus” energy substitution in electricity retail market reform in China[J].Power System Technology,2016,40(12):3 648-3 654.
[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.