This paper focuses on the energy efficient relay selection problem in a cooperative multi-relay network,aims to find the most energy efficient relay node for the source node while ensuring its minimum data rate requir...This paper focuses on the energy efficient relay selection problem in a cooperative multi-relay network,aims to find the most energy efficient relay node for the source node while ensuring its minimum data rate requirement.The interaction between the source node and the relay nodes is modeled as a Vickrey auction game,when the source node broadcasts a cooperation request,the relay nodes compete for the cooperation,and the one with the minimum bid will be chosen which denotes the cost of the source node during the cooperation process,but it only needs to provide the minimum bid provided by the other relay nodes,which can encourage all the relay nodes to give the true bid.Besides,the minimum rate requirement of the source node will be ensured and the relay node taking part in the cooperation will gain some reward and the reward can be maximized by reinforcement learning(RL).展开更多
电动汽车通过泛在电力物联网(Ubiquitous Power Internet of Things, UPIoT)作为移动负载向电力系统提供电力储备,在增强电网稳定性等方面被认为具有巨大潜力,随着电动汽车数量的极速增涨,基于电动汽车的能源交易引起了能源供应商的广...电动汽车通过泛在电力物联网(Ubiquitous Power Internet of Things, UPIoT)作为移动负载向电力系统提供电力储备,在增强电网稳定性等方面被认为具有巨大潜力,随着电动汽车数量的极速增涨,基于电动汽车的能源交易引起了能源供应商的广泛关注。基于此,提出一种基于反向拍卖的电动汽车能源交易激励方案。在定价过程中引入多用户协商博弈框架,进而制定电动汽车的最优定价支付策略;并以最大化能源聚合商的收益为目标,提出了预算受限的车辆选择算法。经与已有方案进行仿真对比,所提方案在降低能源聚合商成本、提高能源聚合商收益和激励车辆放电方面都具有较好的性能。展开更多
基金Supported by the National Natural Science Foundation of China(No.61271182)the National Science Foundation for Young Scientists of China(No.61001115)the Research Fund for the Doctoral Program of Higher Education of China(No.20120005120010)
文摘This paper focuses on the energy efficient relay selection problem in a cooperative multi-relay network,aims to find the most energy efficient relay node for the source node while ensuring its minimum data rate requirement.The interaction between the source node and the relay nodes is modeled as a Vickrey auction game,when the source node broadcasts a cooperation request,the relay nodes compete for the cooperation,and the one with the minimum bid will be chosen which denotes the cost of the source node during the cooperation process,but it only needs to provide the minimum bid provided by the other relay nodes,which can encourage all the relay nodes to give the true bid.Besides,the minimum rate requirement of the source node will be ensured and the relay node taking part in the cooperation will gain some reward and the reward can be maximized by reinforcement learning(RL).
文摘电动汽车通过泛在电力物联网(Ubiquitous Power Internet of Things, UPIoT)作为移动负载向电力系统提供电力储备,在增强电网稳定性等方面被认为具有巨大潜力,随着电动汽车数量的极速增涨,基于电动汽车的能源交易引起了能源供应商的广泛关注。基于此,提出一种基于反向拍卖的电动汽车能源交易激励方案。在定价过程中引入多用户协商博弈框架,进而制定电动汽车的最优定价支付策略;并以最大化能源聚合商的收益为目标,提出了预算受限的车辆选择算法。经与已有方案进行仿真对比,所提方案在降低能源聚合商成本、提高能源聚合商收益和激励车辆放电方面都具有较好的性能。
