典型文献
Access Control Method for EV Charging Stations Based on State Aggregation and Q-Learning
文献摘要：
This paper presents intelligent access control for a charging station and a framework for dynamically and adaptively managing charging requests from randomly arriving electric vehicles(EVs),to increase the revenue of the station.First,charging service requests from random EV arrivals are described as an event-driven sequential decision process,and the decision-making relies on an event-extended state that is composed of the real-time electricity price,real-time charging station state,and EV arrival event.Second,a state aggregation method is introduced to reduce the state space by first aggregating the charging station state in the form of the remaining charging time and then further aggregating it via sort coding.Besides,mathematical calculations of the code value are provided,and their uniqueness and continuous integer characteristics are proved.Then,a corresponding Q-learning method is proposed to derive an optimal or suboptimal access control policy.The results of a case study demonstrate that the proposed learning optimisation method based on the event-extended state aggre-gation performs better than flat Q-learning.The space complexity and time complexity are significantly reduced,which substantially improves the learning efficiency and optimisation performance.
文献关键词：
中图分类号：
作者姓名：
TANG Ziyu;LUO Yonglong;FANG Daohong;ZHAO Chuanxin
作者机构：
School of Computer and Information,Anhui Normal University,Wuhu 241002,China;Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,China
文献出处：
引用格式：
[1]TANG Ziyu;LUO Yonglong;FANG Daohong;ZHAO Chuanxin-.Access Control Method for EV Charging Stations Based on State Aggregation and Q-Learning)[J].系统科学与复杂性学报（英文版）,2022(06):2145-2165
A类：
B类：
Access,Control,Method,Charging,Stations,Based,State,Aggregation,Learning,This,paper,presents,intelligent,access,control,charging,station,framework,dynamically,adaptively,managing,requests,from,randomly,arriving,vehicles,EVs,increase,revenue,First,service,arrivals,are,described,event,driven,sequential,decision,process,making,relies,extended,state,that,composed,real,electricity,price,Second,aggregation,method,introduced,space,by,first,aggregating,remaining,then,further,via,sort,coding,Besides,mathematical,calculations,code,value,provided,their,uniqueness,continuous,integer,characteristics,proved,Then,corresponding,learning,proposed,derive,suboptimal,policy,results,case,study,demonstrate,optimisation,performs,better,than,flat,complexity,significantly,reduced,which,substantially,improves,efficiency,performance
AB值：
0.573866
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