面向风光电站监测的低时延智能接入控制方法  

Low-latency Intelligent Access Control Method for Wind and Solar Power Station Monitoring

作　　者：张慧 丁慧霞 王智慧 汪莞乔 张彤彤 王亚男 ZHANG Hui;DING Huixia;WANG Zhihui;WANG Wanqiao;ZHANG Tongtong;WANG Yanan(China Electric Power Research Institute Co.,Ltd.,Haidian District,Beijing 100192,China)

机构地区：[1]中国电力科学研究院有限公司,北京市海淀区100192

出　　处：《电力信息与通信技术》2023年第4期67-74,共8页Electric Power Information and Communication Technology

基　　金：中国电力科学研究院有限公司研究开发项目“碳达峰碳中和背景下的集中式风光电站终端本地通信协议统一化接入技术研究”(52420021004B)。

摘　　要：为了保障大规模新能源接入下的供电稳定性,电网需要对分布式风光电站进行实时精准监测,然而当前分布式风光电站终端接入控制面临复杂环境下信息不确定、中继选择冲突和信道同频干扰等挑战。文章提出基于同频干扰感知与经验反选改进置信上界(upper confidence bound,UCB)的终端低时延智能接入控制算法,中继利用经验反选机制解决中继选择冲突,终端通过当前反馈奖励感知同频干扰,动态调整信道选择策略。通过算例验证与2种现有算法相比,所提算法传输时延可降低38.57%和57.43%。In order to ensure the power supply stability under large-scale new energy access,the power grid needs to perform real-time and accurate monitoring of distributed wind and solar power stations.However,the terminal access control in distributed wind and solar power stations currently faces several challenges such as information uncertainty in complex environment,relay selection conflict,and channel co-frequency interference.In this paper,a low-latency intelligent terminal access control algorithm based on co-frequency interference-aware and empirical inverse selection improved UCB is proposed.The empirical inverse selection mechanism is used by relays to solve the relay selection conflict problem,and the channel selection strategy is dynamically adjusted by terminals through the channel co-frequency interference awareness based on current feedback reward.The case study verifies the proposed algorithm can reduce the transmission delay by 38.57%and 57.43%compared with two existing algorithms.

关 键 词：终端接入控制 分布式风光电站 强化学习 中继选择 信道选择 

分 类 号：TN929.5[电子电信—通信与信息系统] TM764[电子电信—信息与通信工程]