孙毅, 陈恺, 陆旭. 面向需求响应的多边缘网关协同信息缓存与分发策略[J]. 中国电机工程学报, 2022, 42(14): 5045-5056. DOI: 10.13334/j.0258-8013.pcsee.211287
引用本文: 孙毅, 陈恺, 陆旭. 面向需求响应的多边缘网关协同信息缓存与分发策略[J]. 中国电机工程学报, 2022, 42(14): 5045-5056. DOI: 10.13334/j.0258-8013.pcsee.211287
SUN Yi, CHEN Kai, LU Xu. An Information Caching and Distribution Strategy of Demand Response Service Considering Cooperation of Edge Gateways[J]. Proceedings of the CSEE, 2022, 42(14): 5045-5056. DOI: 10.13334/j.0258-8013.pcsee.211287
Citation: SUN Yi, CHEN Kai, LU Xu. An Information Caching and Distribution Strategy of Demand Response Service Considering Cooperation of Edge Gateways[J]. Proceedings of the CSEE, 2022, 42(14): 5045-5056. DOI: 10.13334/j.0258-8013.pcsee.211287

面向需求响应的多边缘网关协同信息缓存与分发策略

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

  • 摘要: 边缘计算在电力通信网的应用有利于实现更低时延的需求响应,促进未来能源市场发展。现有工作研究了边缘计算在数据处理环节的应用,而需求响应信息分发机制也亟待优化。针对信息分发时延影响用户响应能力的问题,提出面向需求响应的边缘多跳协同缓存网络架构,优化信息分发速率。为降低信息分发时延,设计一种考虑协同范围的非合作博弈缓存算法,令边缘网关竞争服务用户数,在降低信息缓存重复度同时实现时延优化;考虑到边缘网关部署特点,进一步提出分布式的缓存决策算法,实现边缘网关分布式决策。仿真结果表明,所提算法有效降低了响应信息的分发时间,并提高了用户的实际最大响应能力。

     

    Abstract: 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.

     

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