居民侧智能用电泛在感知技术与多元精准服务研究
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摘要
文章以泛在电力物联网技术为基础,探索面向低压居民客户的智慧能源服务新模式,以提升客户体验和用能服务水平为目标,实现居民客户与电网的友好互动。综合运用物联网、大数据、云计算、移动互联网和人工智能等新一代信息通信技术,构建集泛在感知终端、智慧服务云平台和多样化用能服务于一体的智能用电生态体系,利用家庭能源路由器技术提升居民侧边缘智能水平,对居民用能大数据进行深度挖掘,开展基于用户画像的智慧家居、用能优化、新能源接入、能源交易、电力积分、需求响应互动等精准服务,形成电网公司、政府、家电厂商、互联网公司多方共建共赢的生态模式。
Based on the ubiquitous internet of things in electricity(IoTE),this paper explores new mode of smart energy service for low-voltage residential customers. Aiming at improving customer experience and service level,friendly interaction between resident customers and the grid is achieved. Using new generation technologies on information and communication such as the Internet of Things,big data,cloud computing,mobile internet and artificial intelligence,a smart ecosystem is built which integrates ubiquitous sensing terminals,smart service cloud platforms and diversified energy services. As home energy router technology enhances the intelligence level of resident side edges,residential energy big data is deeply excavated,and precise services are carried out such as user-portrait-based smart home,energy optimization,new energy access,energy trading,power points,and demand response interaction. Then an ecological model for power grid companies,governments,home appliance manufacturers,and Internet companies to build a win-win situation is formed.
Based on the ubiquitous internet of things in electricity(IoTE),this paper explores new mode of smart energy service for low-voltage residential customers. Aiming at improving customer experience and service level,friendly interaction between resident customers and the grid is achieved. Using new generation technologies on information and communication such as the Internet of Things,big data,cloud computing,mobile internet and artificial intelligence,a smart ecosystem is built which integrates ubiquitous sensing terminals,smart service cloud platforms and diversified energy services. As home energy router technology enhances the intelligence level of resident side edges,residential energy big data is deeply excavated,and precise services are carried out such as user-portrait-based smart home,energy optimization,new energy access,energy trading,power points,and demand response interaction. Then an ecological model for power grid companies,governments,home appliance manufacturers,and Internet companies to build a win-win situation is formed.
引文
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[20]叶琳浩,刘泽槐,张勇军,等.智能用电技术背景下的配电网运行规划研究综述[J].电力自动化设备,2018,38(5):154-163.YE Linhao,LIU Zehuai,ZHANG Yongjun,et al.Review on operation and planning of distribution network in background of smart power utilization technology[J].Electric Power Automation Equipment,2018,38(5):154-163.
[21]方凯杰.不确定环境下的家庭智能用电运行优化方法研究[D].天津:天津大学,2018.
[2]邓东林,徐冘,陈剑,等.智能用电数据的采集与预处理[J].电力大数据,2019,22(3):81-86.DENG Donglin,XU Yin,CHEN Jian,et al.Acquisition and preprocessing of smart electric appliance network power data[J].Power Systems and Big Data,2019,22(3):81-86.
[3]陈伟豪,代康.基于家庭网关构建物联网家庭应用系统的研究[J].产业与科技论坛,2019,18(5):73-74.
[4]涂京,周明,宋旭帆,等.居民用户参与电网调峰激励机制及优化用电策略研究[J].电网技术,2019,43(2):443-453.TU Jing,ZHOU Ming,SONG Xufan,et al.Research on incentive mechanism and optimal power consumption strategy for residential users’participation in peak shaving of power grid[J].Power System Technology,2019,43(2):443-453.
[5]李扬,宋天立,王子健.基于用户数据深度挖掘的综合能源服务关键问题探析[J].电力需求侧管理,2018,20(3):1-5.LI Yang,SONG Tianli,WANG Zijian.Research on key issues of integrated energy services based on user data deep-mining[J].Power Demand Side Management,2018,20(3):1-5.
[6]周伏秋,邓良辰,冯升波,等.综合能源服务发展前景与趋势[J].中国能源,2019,41(1):4-7,14.ZHOU Fuqiu,DENG Liangchen,FENG Shengbo,et al.Prospects and trends of comprehensive energy service developmen[J].Energy of China,2019,41(1):4-7,14.
[7]赖征田.信息通信技术促进综合能源服务发展[J].供用电,2019,36(3):1.
[8]胡敏刚.物联网技术在智慧家庭系统建设中的有效应用研究[J].计算机产品与流通,2019(1):133.
[9]夏旭,朱雪田,梅承力,等.5G切片在电力物联网中的研究和实践[J].移动通信,2019,43(1):63-69.XIA Xu,ZHU Xuetian,MEI Chengli,et al.Research and practice on 5G slicing in power internet of things[J].Mobile Communications,2019,43(1):63-69.
[10]艾芊.人工智能在配用电领域的研究及应用[J].供用电,2019,36(1):1-2.
[11]荆永震,朱楚楚,蔡高琰,等.LoRa通信在智能用电系统中的应用[J].自动化与仪器仪表,2019(1):187-190.JING Yongzhen,ZHU Chuchu,CAI Gaoyan,et al.Application of LoRa communication technology in intelligent power system[J].Automation&Instrumentation,2019(1):187-190.
[12]何平,刘聪,迟福建,等.电网企业向综合能源服务供应商转型的理论基础与实践路径[J].供用电,2018,35(10):58-63,84.HE Ping,LIU Cong,CHI Fujian,et al.The theoretical basis and practical path of power grid enterprises’transition into integrated energy service providers[J].Distribution&Utilization,2018,35(10):58-63,84.
[13]彭娟,王军.电力光纤入户(PFTTH)及四网融合技术研究[J].电力大数据,2018,21(9):87-92.PENG Juan,WANG Jun.Research on technology of“power fiber to the home”and four-network fusion[J].Power Systems and Big Data,2018,21(9):87-92.
[14]李壮茂,彭显刚,林哲昊,等.基于DPSR模型的用户智能用电能效评价[J].广东电力,2018,31(6):91-98.LI Zhuangmao,PENG Xiangang,LIN Zhehao.et al.Energy efficiency evaluation of user’s intelligent electricity consumption based on DPSR[J].Guangdong Electric Power,2018,31(6):91-98.
[15]陈彬.计及户用分布式电源的合作博弈智能用电技术[J].电力工程技术,2017,36(5):29-34,65.CHEN Bin.Cooperative game-based energy consumption technology considering household distributed generators[J].Electric Power Engineering Teachnology,2017,36(5):29-34,65.
[16]朱振宇,高丙团.基于演化博弈的智能用电参与度研究[J].电力需求侧管理,2017,19(2):9-13.ZHU Zhenyu.GAO Bingtuan.Research on the participation degree of smart power consumption based on evolutionary game theory[J].Power Demand Side Management,2017,19(2):9-13.
[17]彭云倩,陈石东,周任军.灵活互动智能用电的电能服务管理平台[J].陕西电力,2017,45(4):64-68.PENG Yunqian,CHEN Shidong,ZHOU Renjun.Flexible interactive intelligent power service management platform[J].Shaanxi Electric Power,2017,45(4):64-68.
[18]吴刘燕.智能用电下抄核收全过程自动流水线式的开展[J].供用电,2018,35(8):79-83.WU Liuyan.Develop an automatic pipeline operation of entire process of reading-check-billing under the application of smart meters[J].Distribution&Utilization,2018,35(8):79-83.
[19]李廷钧,杜欣慧,姚宏民.计及用户评价的智能用电社区分层优化调度[J].电网技术,2018,42(11):3486-3495.LI Tingjun,DU Xinhui,YAO Hongmin.Hierarchical dispatch optimization for intelligent power community considering electricity evaluation[J].Power System Technology,2018,42(11):3486-3495.
[20]叶琳浩,刘泽槐,张勇军,等.智能用电技术背景下的配电网运行规划研究综述[J].电力自动化设备,2018,38(5):154-163.YE Linhao,LIU Zehuai,ZHANG Yongjun,et al.Review on operation and planning of distribution network in background of smart power utilization technology[J].Electric Power Automation Equipment,2018,38(5):154-163.
[21]方凯杰.不确定环境下的家庭智能用电运行优化方法研究[D].天津:天津大学,2018.