| 引用本文: | 余 岳,魏玉强,曾黎玉,等.基于时空能量博弈均衡的V2V-WPE能量交易研究[J].电力系统保护与控制,2024,52(24):120-130. |
| YU Yue,WEI Yuqiang,ZENG Liyu,et al.V2V-WPE energy trading based on spatiotemporal energy game equilibrium[J].Power System Protection and Control,2024,52(24):120-130 |
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| 摘要: |
| 为解决智能网联汽车(intelligent connected vehicle, ICV)移动充电调度困难问题，提出了基于无线能量交换技术的V2V(vehicle to vehicle based on wireless power exchange, V2V-WPE)能量交易模型，并基于广义纳什议价(generalized nash bargaining, GNB)理论对V2V-WPE能量交易市场进行建模。该模型构建了一种以交通路口为节点，利用无线电能传输装置作为通道的新型电气化交通能源网络，旨在实现车辆间的能量交易，并结合动态路网模型、OD矩阵分析方法和动态Dijkstra算法为ICVs规划行驶路径。最后，通过在能源分配系统(energy distribution system, EDS)中安装变压器以及并联电容器来管理网络上的电压和无功功率(voltage and reactive power, Volt-VAR)，同时将GNB问题分解为收益最大化问题(SP1)和能量交易问题(SP2)，并利用多面体逼近技术将SP1的非凸性问题转化为混合整数线性规划问题。仿真结果表明，参与调度的ICVs收益增加，参与市场的各个代理获得了更公平的利润分配，促进了移动网联汽车之间的能量交易。 |
| 关键词: V2V-WPE 广义纳什议价 交通能源网络 能量交易 路径规划 |
| DOI：10.19783/j.cnki.pspc.240472 |
| 分类号: |
| 基金项目:湖南省自然科学基金项目资助(2022JJ50082)；湖南省教育厅科学研究重点项目资助(24A0415) |
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| V2V-WPE energy trading based on spatiotemporal energy game equilibrium |
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YU Yue1, WEI Yuqiang1, ZENG Liyu2, TANG Jimeng1
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1. College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China;
2. State Grid Hunan Zhuzhou Power Supply Company, Zhuzhou 412011, China
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| Abstract: |
| To address the difficulty of mobile charging scheduling for intelligent connected vehicles (ICVs), a vehicle-to-vehicle based on wireless power exchange (V2V-WPE) energy trading model is proposed. The V2V-WPE energy trading market is modeled based on the theory of generalized Nash bargaining (GNB). The model constructs a novel electrified traffic energy network that uses traffic intersections as nodes and wireless energy transmission devices as channels. It aims to facilitate energy trading between vehicles, and also integrates dynamic traffic network models, OD matrix analysis methods, and dynamic Dijkstra algorithms to plan driving routes for ICVs. Finally, installing transformers and shunt capacitors in the energy distribution system (EDS) can manage voltage and reactive power on the network (Volt-VAR). Additionally, the GNB problem is decomposed into a profit maximization problem (SP1) and an energy transaction problem (SP2), and the non-convex issue of SP1 is transformed into a mixed integer linear programming problem using polyhedral approximation technology. Simulation results show that the participating ICVs see an increase in benefits, and the participating market agents receive a more equitable profit distribution, promoting energy trading among mobile connected vehicles. |
| Key words: V2V-WPE generalized Nash bargaining transportation energy network energy trading route planning |
