用电负荷指纹管理的层次化系统设计
|
摘要
具备负荷特征识别功能的监控系统对实现电力需求侧的自主式、智能化管理至关重要。为解决非侵入式检测技术仅局限于既定设备的问题,促进各类用电设备的主动识别,以支撑自动需求侧管理体系下用电行为分析、用电优化控制功能。文中定义了基于家用电器运行特性的"负荷指纹"及其构成,并以信息物理融合系统为基础,提出负荷指纹管理的层次化技术架构,包括本地及云端两层用电负荷指纹管理平台。最后研制插座式智能采集终端、具备多通信技术的智能交互集中器,可为该技术架构的实现提供坚实的硬件支撑。
A monitoring system with load feature recognition is crucial to the realization of autonomic and intelligent management of power demand side. In order to solve the problem that nonintrusive detection technology is limited to established equipment,to promote the active recognition of all kinds of electrical equipments so that the functions of power consuming behavior analysis and power optimization control are supported in automatic demand side management system,load dactylogram and its composition based on operational characteristics of household appliances are defined. Based on cyberphysical system,a hierarchical technology structure for load dactylogram management is presented,which includes the double layer dactylogram management platform with a local system and a cloud server. Finally,intelligent gathering terminal with socket and intelligent interactive concentrator with multiple communication technologies are developed to provide strong support of hardware for the realization of the technical architecture proposed in this paper.
A monitoring system with load feature recognition is crucial to the realization of autonomic and intelligent management of power demand side. In order to solve the problem that nonintrusive detection technology is limited to established equipment,to promote the active recognition of all kinds of electrical equipments so that the functions of power consuming behavior analysis and power optimization control are supported in automatic demand side management system,load dactylogram and its composition based on operational characteristics of household appliances are defined. Based on cyberphysical system,a hierarchical technology structure for load dactylogram management is presented,which includes the double layer dactylogram management platform with a local system and a cloud server. Finally,intelligent gathering terminal with socket and intelligent interactive concentrator with multiple communication technologies are developed to provide strong support of hardware for the realization of the technical architecture proposed in this paper.
引文
[1] Cheng Lefeng,Zhang Zhiyi,Jiang Haorong,et al. Local energy management and optimization:A novel energy universal service bus system based on energy Internet technologies[J]. Energies,2018,11(5):1160.
[2]章鹿华,王思彤,易忠林,等.面向智能用电的家庭综合能源管理系统的设计与实现[J].电测与仪表,2010,47(9):35-38.Zhang Luhua,Wang Sitong,Yi Zhonglin,et al. The Design and Implementation of Family Comprehensive Energy Management System Facing the Smart Power[J]. Electrical Measurement&Instrumentation,2010,(9):35-38.
[3]程乐峰,余涛,张孝顺,等.信息-物理-社会融合的智慧能源调度机器人及其知识自动化:框架、技术与挑战[J].中国电机工程学报,2018,38(1):25-40.Cheng Lefeng,Yu Tao,Zhang Xiaoshun,et al. Cyber-physical-social systems based smart energy robotic dispatcher and its knowledge automation:framework,techniques and challenges[J]. Proceedings of the CSEE,2018,38(1):25-40.
[4]蒋心泽,朱耀明,夏伟.电能管理终端在家庭智能用电中的应用[J].电器与能效管理技术,2014,(21):65-68.Jiang Xinze,Zhu Yaoming,Xia Wei. Application of the Energy Management Terminal in Smart Grid User Side[J]. Electrical&Energy Management Technology,2014,(21):65-68.
[5]武东升,李中伟,孟迪,等.家庭智能用电管理系统智能交互终端设计[J].自动化与仪表,2017,32(1):34-38,42.Wu Dongsheng,Li Zhongwei,Meng Di,et al. Design of Intelligent Interactive Terminal of Household Intelligent Power Management System[J]. Automation&Instrumentation,2017,32(1):34-38,42.
[6]温克欢,黄怀东,李伟华,等.基于云平台的智能计量系统典型设计与应用[J].电测与仪表,2016,53(5):118-123.Wen Kehuan,Huang Huaidong,Li Weihua,et al. The typical design and application of intelligent measurement system based on cloud platform[J]. Electrical Measurement&Instrumentation,2016,53(5):118-123.
[7]符长友,马刚,周苗苗.基于物联网的高级量测体系的设计[J].电测与仪表,2012,49(7):45-48.Fu Changyou,Ma Gang,Zhou Miaomiao. Design of advanced metering infrastructure based on internet of things[J]. Electrical Measurement&Instrumentation,2012,49(7):45-48.
[8]柯予宸.家用电器负荷特性及响应潜力研究[D].华东交通大学,2017.Ke Yuchen. Research on the Characteristic and Response Pontential of Household Electric Appliance Load[D]. East China Jiaotong University,2017.
[9]刘庆强.居民负荷特性研究及应用[D].上海电力学院,2014.Liu Qingqiang. Research and Application of Residents Load Signature[D]. Shanghai University Of Electric Power,2014.
[10]余贻鑫,刘博,栾文鹏.非侵入式居民电力负荷监测与分解技术[J].南方电网技术,2013,7(4):1-5.Yu Yixin,Liu Bo,Luan Wenpeng. Nonintrusive Residential Load Monitoring and Decomposition Technology[J]. Southern Power System Technology,2013,7(4):1-5.
[11]赵俊华,文福拴,薛禹胜,等.电力信息物理融合系统的建模分析与控制研究框架[J].电力系统自动化,2011,35(16):1-8.Zhao Junhua,Wen Fushuan,Xue Yusheng,et al. Modeling Analysis and Control Research Frameworkof Cyber Physical Power Systems[J].Automation of Electric Power Systems,2011,35(16):1-8.
[12]刘博.非侵入式电力负荷监测与分解技术[D].天津大学,2014.Liu Bo. Non-Intrusive Power Load Monitoring and Disaggregation Technique[D]. Tianjin University,2014.
[13]高云,杨洪耕.基于暂态特征贴近度匹配的家用负荷识别[J].电力系统自动化,2013,37(9):54-59.Gao Yun,Yang Honggeng. Household Load Identification Based on Closeness Matching of Transient Characteristics[J]. Automation of Electric Power Systems,2013,37(9):54-59.
[14]曲朝阳,于华涛,郭晓利.基于开启瞬时负荷特征的家电负荷识别[J].电工技术学报,2015,30(S1):358-364.
[15]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.
[2]章鹿华,王思彤,易忠林,等.面向智能用电的家庭综合能源管理系统的设计与实现[J].电测与仪表,2010,47(9):35-38.Zhang Luhua,Wang Sitong,Yi Zhonglin,et al. The Design and Implementation of Family Comprehensive Energy Management System Facing the Smart Power[J]. Electrical Measurement&Instrumentation,2010,(9):35-38.
[3]程乐峰,余涛,张孝顺,等.信息-物理-社会融合的智慧能源调度机器人及其知识自动化:框架、技术与挑战[J].中国电机工程学报,2018,38(1):25-40.Cheng Lefeng,Yu Tao,Zhang Xiaoshun,et al. Cyber-physical-social systems based smart energy robotic dispatcher and its knowledge automation:framework,techniques and challenges[J]. Proceedings of the CSEE,2018,38(1):25-40.
[4]蒋心泽,朱耀明,夏伟.电能管理终端在家庭智能用电中的应用[J].电器与能效管理技术,2014,(21):65-68.Jiang Xinze,Zhu Yaoming,Xia Wei. Application of the Energy Management Terminal in Smart Grid User Side[J]. Electrical&Energy Management Technology,2014,(21):65-68.
[5]武东升,李中伟,孟迪,等.家庭智能用电管理系统智能交互终端设计[J].自动化与仪表,2017,32(1):34-38,42.Wu Dongsheng,Li Zhongwei,Meng Di,et al. Design of Intelligent Interactive Terminal of Household Intelligent Power Management System[J]. Automation&Instrumentation,2017,32(1):34-38,42.
[6]温克欢,黄怀东,李伟华,等.基于云平台的智能计量系统典型设计与应用[J].电测与仪表,2016,53(5):118-123.Wen Kehuan,Huang Huaidong,Li Weihua,et al. The typical design and application of intelligent measurement system based on cloud platform[J]. Electrical Measurement&Instrumentation,2016,53(5):118-123.
[7]符长友,马刚,周苗苗.基于物联网的高级量测体系的设计[J].电测与仪表,2012,49(7):45-48.Fu Changyou,Ma Gang,Zhou Miaomiao. Design of advanced metering infrastructure based on internet of things[J]. Electrical Measurement&Instrumentation,2012,49(7):45-48.
[8]柯予宸.家用电器负荷特性及响应潜力研究[D].华东交通大学,2017.Ke Yuchen. Research on the Characteristic and Response Pontential of Household Electric Appliance Load[D]. East China Jiaotong University,2017.
[9]刘庆强.居民负荷特性研究及应用[D].上海电力学院,2014.Liu Qingqiang. Research and Application of Residents Load Signature[D]. Shanghai University Of Electric Power,2014.
[10]余贻鑫,刘博,栾文鹏.非侵入式居民电力负荷监测与分解技术[J].南方电网技术,2013,7(4):1-5.Yu Yixin,Liu Bo,Luan Wenpeng. Nonintrusive Residential Load Monitoring and Decomposition Technology[J]. Southern Power System Technology,2013,7(4):1-5.
[11]赵俊华,文福拴,薛禹胜,等.电力信息物理融合系统的建模分析与控制研究框架[J].电力系统自动化,2011,35(16):1-8.Zhao Junhua,Wen Fushuan,Xue Yusheng,et al. Modeling Analysis and Control Research Frameworkof Cyber Physical Power Systems[J].Automation of Electric Power Systems,2011,35(16):1-8.
[12]刘博.非侵入式电力负荷监测与分解技术[D].天津大学,2014.Liu Bo. Non-Intrusive Power Load Monitoring and Disaggregation Technique[D]. Tianjin University,2014.
[13]高云,杨洪耕.基于暂态特征贴近度匹配的家用负荷识别[J].电力系统自动化,2013,37(9):54-59.Gao Yun,Yang Honggeng. Household Load Identification Based on Closeness Matching of Transient Characteristics[J]. Automation of Electric Power Systems,2013,37(9):54-59.
[14]曲朝阳,于华涛,郭晓利.基于开启瞬时负荷特征的家电负荷识别[J].电工技术学报,2015,30(S1):358-364.
[15]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.