An Information Caching and Distribution Strategy of Demand Response Service Considering Cooperation of Edge Gateways

被引：0
|
作者：
Sun Y. [1 ]
Chen K. [1 ]
Lu X. [2 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Changping Distrct, Beijing
[2] Power Control Center of East Inner Mongolia Electric Power Company Limited, Inner Mongolia Municipality, Huhhot
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2022年 / 42卷 / 14期
关键词：
demand response; edge caching; energy internet; noncooperative game; power communication network;
D O I：
10.13334/j.0258-8013.pcsee.211287
中图分类号：
学科分类号：
摘要：
The application of edge computing in power communication network facilitates the operation of ultra-low latency demand response (DR) and promotes the development of energy market. However, current works mainly focus on the application of edge computing in DR data execution, and the information distributing problem in DR has received little attention. This paper minimized the impact of DR information transmission delay on response capacity of users and proposed a multi-hop cooperative caching method. To optimize transmission delay, a noncooperative game-based caching algorithm considering cooperation region was proposed, and thus the edge gateway can compete with each other to provide low-delay information service while decreasing the repetition caching rate. Considering the practical in real scenario, a distribution algorithm was designed to achieve distributed caching decision. The simulation results show that the proposed strategy can optimize the transmission delay of DR information and improve the actual maximum responsiveness of the users. © 2022 Chin.Soc.for Elec.Eng.
引用
收藏
页码：5045 / 5056
页数：11
相关论文
共 26 条
  • [1] SAXENA N, ROY A, KIM H．, Efficient 5G small cell planning with eMBMS for optimal demand response in smart grids[J], IEEE Transactions on Industrial Informatics, 13, 3, pp. 1471-1481, (2017)
  • [2] WANG Xiaohui, JI Zhixiang, ZHOU Yang, Comprehensive service platform architecture and key technologies of urban energy internet[J], Proceedings of the CSEE, 41, 7, pp. 2310-2320, (2021)
  • [3] LI Bin, CHEN Jingsheng, LI Dezhi, Analysis and prospect of key issues in China’s demand response for further large scale implementation[J], Power System Technology, 43, 2, pp. 694-704, (2019)
  • [4] YONG Pei, ZHANG Ning, CI Song, Et al., 5G communication base stations participating in demand response：key technologies and prospects[J], Proceedings of the CSEE, 41, 16, pp. 5540-5552, (2021)
  • [5] LI Bin, CAO Wangzhang, QI Bing, A bandwidth optimization strategy of demand response services in electric power communication network[J], Proceedings of the CSEE, 40, 19, pp. 6227-6237, (2020)
  • [6] LI Bin, JIA Bincheng, CAO Wangzhang, Et al., Application prospect of edge computing in power demand response business[J], Power System Technology, 42, 1, pp. 79-87, (2018)
  • [7] CAO Wangzhang, LI Bin, QI Bing, A deployment method of demand response edge cloud considering services reliability[J], Proceedings of the CSEE, 41, 3, pp. 846-856, (2021)
  • [8] KAUR K, GARG S, KADDOUM G, Demandresponse management using a fleet of electric vehicles：an opportunistic-SDN-based edge-cloud framework for smart grids[J], IEEE Network, 33, 5, pp. 46-53, (2019)
  • [9] SAPUTRA Y M, HOANG D T, NGUYEN D N, A novel mobile edge network architecture with joint caching-delivering and horizontal cooperation[J], IEEE Transactions on Mobile Computing, 20, 1, pp. 19-31, (2021)
  • [10] LI Mengyu, RUI Lanlan, QIU Xuesong, Design of a service caching and task offloading mechanism in smart grid edge network[C], 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 249-254, (2019)
123