Huadian Technology ›› 2021, Vol. 43 ›› Issue (3): 1-8.doi: 10.3969/j.issn.1674-1951.2021.03.001
• edge computing • Next Articles
LI Bin1, HAO Yihao1,*(), QI Bing1, CHEN Songsong2, FENG Jian3
Received:
2020-12-17
Revised:
2021-02-28
Published:
2021-03-25
Contact:
HAO Yihao
E-mail:1206751439@qq.com
CLC Number:
LI Bin, HAO Yihao, QI Bing, CHEN Songsong, FENG Jian. Application and development of edge computing in demand response[J]. Huadian Technology, 2021, 43(3): 1-8.
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.hdpower.net/EN/10.3969/j.issn.1674-1951.2021.03.001
[1] | 陈爱博, 王存旭 . 需求响应对电力市场的效益影响研究综述[J]. 沈阳工程学院学报(自然科学版), 2019(4):338-342. |
CHEN Aibo, WANG Cunxu . Review on the impact of demand response on the efficiency of electricity market[J]. Journal of Shenyang Institute of Engineering(Natural Science), 2019(4):338-342. | |
[2] | SONG L J, LI F Q, CONG B. Power demand side management strategy based on power demand response[M] // HASSANIEN A E, SLOWIK A, SNASEL V, et al. Proceedings of the international conference on advanced intelligent systems and informatics. Springer International Publishing, 2020: 981-988. |
[3] | 冯丽, 李俊, 刘波 . 清洁能源消纳背景下的重庆电网需求响应实践[J]. 华电技术, 2021,43(1):71-75. |
FENG Li, LI Jun, LIU Bo . Demand response of Chongqing power grid integrated with clean energy consumption[J]. Huadian Technology, 2021,43(1):71-75. | |
[4] | 吕华章, 陈丹, 范斌 . 边缘计算标准化进展与案例分析[J]. 计算机研究与发展, 2018,55(3):487-511. |
LYU Huazhang, CHEN Dan, FAN Bin . Progress and case study of edge computing standardization[J]. Journal of Computer Research and Development, 2018,55(3):487-511. | |
[5] | 5G时代的边缘计算[EB/OL].( 2020-03-09)[2020-11-20]. https://baijiahao.baidu.com/s?id=1660645774533891911&wfr=spider&for=pc. |
[6] | 华为云智能边缘项目KubeEdge正式进入CNCF社区[EB/OL].( 2019-03-21)[2020-11-20]. https://baijiahao.baidu.com/s?id=1628605851065220846&wfr=spider&for=pc. |
[7] | SIROJAN T, LU S, PHUNG B T, et al. Embedded edge computing for real-time smart meter data analytics [C]//2019 International Conference on Smart Energy Systems and Technologies (SEST). Porto, Portugal, 2019: 1-5. |
[8] | 张卫红, 陈小龙, 万顺 , 等. 基于边缘计算的分布式配电故障处理系统[J]. 供用电, 2019,36(9):28-33,58. |
ZHANG Weihong, CHEN Xiaolong, WAN Shun , et al. Distributed distribution fault processing system based on edge computing[J]. Power Supply and Electricity, 2019,36(9):28-33,58. | |
[9] | 路艳巧, 孙翠英, 曹红卫 , 等. 基于边缘计算与深度学习的输电设备异物检测方法[J]. 中国电力, 2020,53(6):27-33. |
LU Yanqiao, SUN Cuiying, CAO Hongwei , et al. A foreign body detection method for power transmission equipment based on edge computing and deep learning[J]. China Electric Power, 2020,53(6):27-33. | |
[10] | LI T, XIAO Y, SONG L. Deep reinforcement learning based residential demand side management with edge computing [C]//2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids.Beijing, China, 2019: 1-6. |
[11] | 祁兵, 夏琰, 李彬 , 等. 基于边缘计算的家庭能源管理系统:架构、关键技术及实现方式[J]. 电力建设, 2018,39(3):33-41. |
QI Bing, XIA Yan, LI Bin , et al. Home energy management system based on edge computing: Architecture, key technology and implementation method[J]. Electric Power Construction, 2018,39(3):33-41. | |
[12] | 罗军舟, 金嘉晖, 宋爱波 . 云计算: 体系架构与关键技术[J]. 通信学报, 2011,32(7):3-21. |
LUO Junzhou, JIN Jiahui, SONG Aibo . Cloud computing: Architecture and key technologies[J]. Journal of Communications, 2011,32(7):3-21. | |
[13] | 2020年您应该关注的5个边缘计算统计数据[EB/OL]. ( 2020- 07- 15)[2020-11-20]. http://bas.qianjia.com/html/2020-03/30_363369.html . |
[14] | 施巍松, 张星洲, 王一帆 , 等. 边缘计算: 现状与展望[J]. 计算机研究与发展, 2019,56(1):69-89. |
SHI Weisong, ZHANG Xingzhou, WANG Yifan , et al. Edge computing:State-of-the-art and future directions[J]. Journal of Computer Research and Development, 2019,56(1):69-89. | |
[15] | 施巍松, 孙辉, 曹杰 , 等. 边缘计算: 万物互联时代新型计算模型[J]. 计算机研究与发展, 2017,54(5):907-924. |
SHI Weisong, SUN Hui, CAO Jie , et al. Edge computing: A new computing model under the interconnection of everything[J]. Journal of Computer Research and Development, 2017,54(5):907-924. | |
[16] | 刘灯, 周伟 . 基于边缘计算的智慧工厂系统[J]. 湖北工业大学学报, 2019,34(2):74-77. |
LIU Deng, ZHOU Wei . Intelligent factory system based on edge computing[J]. Journal of Hubei University of Technology, 2019,34(2):74-77. | |
[17] | 赵梓铭, 刘芳, 蔡志平 , 等. 边缘计算: 平台、应用与挑战[J]. 计算机研究与发展, 2018,55(2):327-337. |
ZHAO Ziming, LIU Fang, CAI Zhiping , et al. Edge computing: Platform, applications and challenges[J]. Computer Research and Development, 2018,55(2):327-337. | |
[18] | 于富东, 杨立敏, 杨林 . 基于雾计算的物联网应用研究[J]. 信息通信技术与政策, 2019(5):59-62. |
YU Fudong, YANG Limin, YANG Lin . Research on Internet of Things application based on fog calculation[J]. Information and Communications Technology and Policy, 2019(5):59-62. | |
[19] | BAGLOEE S A, TAVANA M, WITHERS G , et al. Tradable mobility permit with Bitcoin and Ethereum—A blockchain application in transportation[J]. Internet of Things, 2019,8:100-103. |
[20] | 丁春涛, 曹建农, 杨磊 , 等. 边缘计算综述:应用、现状及挑战[J]. 中兴通讯技术, 2019,25(3):1-7. |
DING Chuntao, CAO Jiannong, YANG Lei , et al. Edge computing:Applications, state-of-the-art and challenges[J]. ZTE Communications Technology, 2019,25(3):1-7. | |
[21] | 李林哲, 周佩雷, 程鹏 , 等. 边缘计算的架构、挑战与应用[J]. 大数据, 2019,5(2):3-16. |
LI Linzhe, ZHOU Peilei, CHENG Peng , et al. The architecture, challenges and applications of edge computing[J]. Big Data, 2019,5(2):3-16.
doi: 10.1089/big.2017.29015.cfp |
|
[22] | 高志鹏, 尧聪聪, 肖楷乐 . 移动边缘计算:架构、应用和挑战[J]. 中兴通讯技术, 2019(3):23-30. |
GAO Zhipeng, YAO Congcong, XIAO Kaile . Mobile edge computing: Architecture, applications and challenges[J]. ZTE Communications Technology, 2019(3):23-30. | |
[23] | 罗雨佳, 欧亮, 唐宏 . 基于NFV的边缘计算承载思路[J]. 电信科学, 2018(8):153-159. |
LUO Yujia, OU Liang, TANG Hong . Edge computing bearing based on NFV[J]. Communications Science, 2018(8):153-159. | |
[24] | 欧洲边缘计算联盟(EECC)发布第一个RAMEC参考架构模型[EB/OL].( 2019-12-06)[2020-11-20]. https://www.sohu.com/a/358705178_100019702. |
[25] | 吕华章, 陈丹, 王友祥 . 聚焦MEC边缘云,赋能5G行业应用[J]. 信息通信技术, 2018,12(5):24-32,41. |
LYU Huazhuang, CHEN Dan, WANG Youxiang . Edge-cloud platform architecture and exploration of business practic[J]. Information and Communications Technologies, 2018,12(5):24-32,41. | |
[26] | 徐恩庆, 董恩然 . 云计算与边缘计算协同发展的探索与实践[J]. 通信世界, 2019,801(9):48-49. |
[27] | 《2019电力需求响应方案(征求意见稿)》[EB/OL].( 2019- 04- 20)[2020-11-20]. http://www.escn.com.cn/news/show-728993.html . |
[28] | 谢雄, 崔雪, 刘洋, 等. 基于斯塔伯格博弈的多利益主体需求响应策略[J/OL]. 电测与仪表,2020:1-8( 2020- 01- 06)[2020-11-20].http://kns.cnki.net/kcms/detail/23.1202.TH.20200106.0904.004.html . |
XIE Xiong, CUI Xue, LIU Yang , et al. Multi-stakeholder demand response strategy based on Stalberg Game [J/OL]. Electrical Measurement & Instrumentation, 2020:1-8( 2020- 01- 06)[2020-11-20].http://kns.cnki.net/kcms/detail/23.1202.TH.20200106.0904.004.html . | |
[29] |
LU T, WANG Z, WANG J , et al. A data-driven Stackelberg market strategy for demand response-enabled distribution dystems[J]. In IEEE Transactions on Smart Grid, 2018,10(3):2345-2357.
doi: 10.1109/TSG.5165411 |
[30] | 程杉, 陈欢田 . 基于Stackelberg博弈的智能电网完全分布式需求响应策略[J]. 智慧电力, 2019,47(3):60-65,96. |
CHENG Shan, CHEN Huantian . Fully distributed demand response strategy for smart grid based on Stackelberg Game[J]. Smart Electricity, 2019,47(3):60-65,96. | |
[31] | GIV 2025: 打开智能世界产业版图[J/OL]. ICT新视野, 2018:4-7.https://e.huawei.com/cn/publications/cn/ict_insights/201805151128/view/201806121143 . |
[32] |
MOHSENIAN-RAD C A, WONG V, JATSKEVICH J , et al. Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid[J]. IEEE Transactions on Smart Grid, 2010,1(3):320-331.
doi: 10.1109/TSG.2010.2089069 |
[33] | 鄢晶, 高天露, 张俊 , 等. 边云链协同技术在能源互联网数据管理中的应用及展望[J]. 华电技术, 2020,42(8):41-47. |
YAN Jing, GAO Tianlu, ZHANG Jun , et al. Application and prospect of edge-cloud-chain collaboration technologies for energy internet data management[J]. Huadian Technology, 2020,42(8):41-47. | |
[34] | 李彬, 贾滨诚, 曹望璋 , 等. 边缘计算在电力需求响应业务中的应用展望[J]. 电网技术, 2018,42(1):79-87. |
LI Bin, JIA Bincheng, CAO Wangzhang , et al. Application prospect of edge computing in power demand response[J]. Power Grid Technology, 2018,42(1):79-87. | |
[35] |
YAGHMAEE M H, LEON-GARCIA A, MOGHADDASSIAN A . On the performance of distributed and cloud-based demand response in smart grid[J]. In IEEE Transactions on Smart Grid, 2018,9(5):5403-5417.
doi: 10.1109/TSG.5165411 |
[36] | 熊先奎, 段向阳, 王卫斌 . 移动边缘计算规模部署的技术制约因素和对策[J]. 中兴通讯技术, 2019,25(6):65-72. |
XIONG Xiankui, DUAN Xiangyang, WANG Weibin . Technology constraints and countermeasures of mobile edge computing scale deployment[J]. ZTE Communications Technology, 2019,25(6):65-72. | |
[37] | 王瑞雪, 杨红伟, 李志强 , 等. 面向运营商边缘云部署边缘模块化交换机崭露头角[J]. 通信世界, 2019(33):37-39. |
[38] | 吕华章, 陈丹, 王友祥 . 边缘云与5G网络融合部署方案与演进规划[J].邮电设计技术, 2019(11):71-76. |
LYU Huazhang, CHEN Dan, WANG Youxiang . Deployment scheme and evolution planning of edge cloud and 5G network fusion[J]. Posts and Telecommunications Design Technology, 2019(11):71-76. | |
[39] | 高伟, 方德洲, 倪淼 . 5G边缘计算节点部署方法研究[J]. 电信工程技术与标准化, 2020,33(1):38-42. |
GAO Wei, FANG Dezhou, NI Miao . Research on deployment method of 5G edge computing node[J]. Telecommunication Engineering Technology and Standardization, 2020,33(1):38-42. | |
[40] | 马洪源 . 面向5G的边缘计算及部署思考[J]. 中兴通讯技术, 2019,25(3):77-81. |
MA Hongyuan . Edge computing and deployment considerations for 5G[J]. ZTE Communications Technology, 2019,25(3):77-81. | |
[41] | 孙立杰, 葛振宇, 伍竹歆 , 等. 多接入移动边缘计算技术在移动网络的部署实践与思考[J]. 电信工程技术与标准化, 2020,33(1):25-30. |
SUN Lijie, GE Zhenyu, WU Zhuxin , et al. Deployment practice and thinking of multi-access mobile edge computing technology in mobile network[J]. Telecommunication Engineering Technology and Standardization, 2020,33(1):25-30. | |
[42] | 陈军, 李昊, 张涛 . LTE-V2X车联网边缘计算部署方式探讨[J]. 信息通信, 2019(11):76-77. |
CHEN Jun, LI Hao, ZHANG Tao . Discussion on edge computing deployment mode of LTE-V2X Internet of Vehicles[J]. Information Communications, 2019(11):76-77. | |
[43] | LI Dawei, DONG Boxiang, WANG En, et al. A study on flat and hierarchical system deployment for edge computing [C]// 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2019. |
[44] | LI B, WANG K, XUE D, et al. K-means based edge server deployment algorithm for edge computing environments [C]// 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, 2018: 1169-1174. |
[1] | ZOU Fenghua, ZHU Xingyang, YIN Junping, MENG Shiyu, JIANG Haiyan, CHEN Aikang, LIU Lan. Development trend analysis on building energy systems under "dual carbon" target [J]. Integrated Intelligent Energy, 2024, 46(8): 36-40. |
[2] | BAO Haibo, LIANG Junjie, LI Xiang. Modeling and analysis on demand response for generalized load of power supply systems in industrial parks [J]. Integrated Intelligent Energy, 2024, 46(1): 11-17. |
[3] | YU Haibin, GAO Yiling, LU Zengjie, DONG Shuai, LU Lin, REN Yizhi. Low-carbon economic scheduling of deep peak regulating market with the participation of wind power,thermal power,storage and carbon capture units considering demand response [J]. Integrated Intelligent Energy, 2023, 45(8): 80-89. |
[4] | CAO Zilin, WANG Wenjing, ZHAO Wei, KANG Ligai, GAO Xiaofeng, YANG Yang, WANG Jinzhu. Research on optimal scheduling of distributed integrated energy systems in load-intensive areas considering demand response [J]. Integrated Intelligent Energy, 2023, 45(7): 11-21. |
[5] | HU Ze, ZHU Ziqing, BU Siqi, CHAN Jiarong, WEI Xiang. Pricing strategy in district-level integrated energy market based on deep reinforcement learning [J]. Integrated Intelligent Energy, 2023, 45(7): 87-96. |
[6] | GE Leijiao, YU Weikun, ZHU Ruoyuan, WANG Guantao, BAI Xingzhen. Integrated energy system optimization scheduling considering improved stepped carbon trading mechanism and demand responses [J]. Integrated Intelligent Energy, 2023, 45(7): 97-106. |
[7] | XIONG Zhenzhen. Analysis on execution of VPPs for commercial buildings in Shanghai based on decision tree [J]. Integrated Intelligent Energy, 2023, 45(6): 66-72. |
[8] | MEI Wenqing, LIU Xiaofeng, WANG Jiacheng, TAN Mengling. A day-ahead market pricing model for load aggregators based on potential game [J]. Integrated Intelligent Energy, 2023, 45(11): 62-69. |
[9] | LI Bin, HU Chunjin, WANG Jing. Prediction method for adjustable load based on EEMD-BiLSTM [J]. Integrated Intelligent Energy, 2022, 44(9): 33-39. |
[10] | ZHONG Yongjie, JI Ling, LI Jingxia, JIANG Yanjun, WU Shiwei, WANG Zidong. Overview on the characteristics,connotation and development status of virtual power plants in China [J]. Integrated Intelligent Energy, 2022, 44(6): 25-36. |
[11] | REN Baojun, GAO Zhiyong. Design and implementation of a terminal configuration scheme in a decentralized distribution station based on edge computing [J]. Integrated Intelligent Energy, 2022, 44(6): 59-69. |
[12] | JI Bin, SUN Hui, CHANG Li, ZHANG Dandan. Modeling and analysis on decision making behavior of loyal users participating in demand-side response [J]. Integrated Intelligent Energy, 2022, 44(2): 80-88. |
[13] | ZHAO Jianli, TANG Zhuofan, WANG Guilin, CHEN Yuyang, WANG Weidong, CHEN Ke, WU Yingjun. Operation characteristics of user-side resources with energy storage function [J]. Integrated Intelligent Energy, 2022, 44(2): 8-14. |
[14] | ZHANG Kaijie, DING Guofeng, WEN Ming, HUI Hongxun, DING Yi, HE Min, CHU Jiefeng, XIE Kang, YU Chutian, ZHANG Lijun. Review of optimal dispatching technology and market mechanism design for virtual power plants [J]. Integrated Intelligent Energy, 2022, 44(2): 60-72. |
[15] | ZHANG Xiaorui, JI Ling, FAN Zhongming. Research on the new power distribution IoT operation and maintenance technology based on cloud-edge collaboration [J]. Integrated Intelligent Energy, 2022, 44(12): 25-32. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||