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首页> 外文期刊>IEEE Transactions on Vehicular Technology >A Game-Theoretic Approach to Optimal Scheduling of Parking-Lot Electric Vehicle Charging
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A Game-Theoretic Approach to Optimal Scheduling of Parking-Lot Electric Vehicle Charging

机译:停车电动汽车充电最优调度的博弈论方法

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摘要

Parking-lot electric vehicle (EV) charging promises reduced on-board battery capacity for commuters, which would decrease the payback time. However, the parking-lot EV charging scenario is rendered complicated by the large number of agents involved and highly dynamic price of electricity during the day. This study solves the parking-lot EV charging scheduling problem through a noncooperative game approach that considers the coupled constraint therein. The total charging amount is restrained by the transformer capacity. Such a coupled constraint makes the parking-lot EV charging game distinct from other EV charging scenarios. The theoretical framework of the Rosen–Nash normalized equilibrium is applied to deal with such a problem. The Nikaido–Isoda relaxation algorithm is used to calculate the equilibrium point. The dynamic game extension is then provided. Numerical simulation validates the proposed framework. Moreover, the impact of major parameters of the EV charging game on the equilibrium point that can be achieved is investigated.
机译:停车场电动汽车(EV)的充电有望减少通勤者的车载电池容量,这将缩短投资回收期。但是,由于每天涉及大量代理商和高动态电价,使得停车场EV充电方案变得复杂。本研究通过考虑耦合约束的非合作博弈方法解决了停车场电动汽车充电调度问题。总充电量受变压器容量的限制。这样的耦合约束使得停车场EV充电游戏不同于其他EV充电场景。 Rosen-Nash归一化均衡的理论框架适用于处理此类问题。 Nikaido-Isoda松弛算法用于计算平衡点。然后提供了动态游戏扩展。数值模拟验证了所提出的框架。此外,研究了电动汽车充电游戏的主要参数对可以达到的平衡点的影响。

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