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Dispatch of Vehicle-to-Grid Battery Storage Using an Analytic Hierarchy Process

机译:使用层次分析法调度车辆到电网的电池存储

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摘要

The number of electric vehicles (EVs) is expected to increase significantly in the future to combat air pollution and reduce reliance on fossil fuels. This will impact the power system. However, appropriate charging and discharging of EVs through vehicle-to-grid (V2G) operations could also provide support for the power system and benefits for EV owners. This raises the questions of when and how EV battery storage should be dispatched, taking into account both vehicle users' and power system's requirements and priorities, as well as the constraints of the battery system. This paper proposes a novel decentralized dispatch strategy based on the analytic hierarchy process (AHP), taking into account the relative importance of the different criteria, including cost, battery state of charge (SOC), power system contingency, and load leveling. The proposed AHP-based dispatch strategy was tested on an IEEE Reliability Test System with different EV numbers and capacities to investigate the efficacy of such an approach. The simulation results demonstrate the feasibility and benefits of this dispatch strategy.
机译:未来,电动汽车的数量有望显着增加,以应对空气污染并减少对化石燃料的依赖。这将影响电源系统。但是,通过车辆到电网(V2G)操作对电动汽车进行适当的充电和放电也可以为电力系统提供支持,并为电动汽车所有者带来好处。这就提出了一个问题,即在考虑车辆用户和动力系统的要求和优先级以及电池系统的约束的同时,应何时以及如何调度电动汽车电池存储。考虑到不同标准的相对重要性,包括成本,电池充电状态(SOC),电力系统突发事件和负载均衡,本文提出了一种基于层次分析法(AHP)的新型分散调度策略。建议的基于AHP的调度策略在具有不同EV编号和容量的IEEE可靠性测试系统上进行了测试,以研究这种方法的有效性。仿真结果证明了该调度策略的可行性和优势。

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