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Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy

文献类型：期刊论文

作者Yang, Lingxiao2; Sun, Qiuye2; Ma, Dazhong2; Wei, Qinglai1
刊名NEUROCOMPUTING
出版日期2020-07-05
卷号396页码:216-223
关键词Nash Q-learning Integrated energy management game Interconnected multicarrier systems Equilibrium transfer We-Energy
ISSN号0925-2312
DOI10.1016/j.neucom.2019.01.109
通讯作者Yang, Lingxiao(ylxiao66@163.com)
英文摘要This paper proposes an innovative energy interacting unit ("We-Energy") with the characteristic of full duplex trading mode. In order to manage all the We-Energies in an optimal way, a new integrated energy management framework based on a noncooperative game is performed so as to allocate the energy demands of each WE such that the benefit of each WE can be maximized. To overcome the impact of the randomness and inaccurate information of renewable energy sources, Nash Q-learning algorithm is applied for computation of game equilibrium under the unknown environment. The novelty of the proposed algorithms is related to the incorporation of the continuous action space into the discrete adaptive action set and combined the equilibrium transfer to improve the efficiency of the algorithm. Simulation studies of modified IMS confirm that it has a better performance with the desired equilibrium strategy and convergence speed. (C) 2019 Elsevier B.V. All rights reserved.
WOS关键词REINFORCEMENT ; MARKET
资助项目National Natural Science Foundation of China[61573094] ; National Natural Science Foundation of China[61433004] ; Fundamental Research Funds for the Central Universities[N170405002]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000536806600001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities
源URL[http://ir.ia.ac.cn/handle/173211/39560]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
通讯作者Yang, Lingxiao
作者单位1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
2.Northeastern Univ, Sch Informat Sci & Engn, Shenyang, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Lingxiao,Sun, Qiuye,Ma, Dazhong,et al. Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy[J]. NEUROCOMPUTING,2020,396:216-223.
APA Yang, Lingxiao,Sun, Qiuye,Ma, Dazhong,&Wei, Qinglai.(2020).Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy.NEUROCOMPUTING,396,216-223.
MLA Yang, Lingxiao,et al."Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy".NEUROCOMPUTING 396(2020):216-223.

入库方式： OAI收割

来源：自动化研究所

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