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A∗-based optimal coordination of vehicle-to-grid batteries and renewable generators in a distribution network

机译:基于A ∗的配电网中的车用电池和可再生发电机的最佳协调

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The increasing integration of Electric vehicles (EVs) and renewable generators (RGs) is an inevitable trend in power system development to control the release of greenhouse gases and pollution and reduce dependence on fossil fuels. This will challenge distribution networks, which have constrained capacities, due to the intrinsic intermittence of renewable power and additional charging load demand of EVs. However, appropriate dispatch of EVs via vehicle-to-grid (V2G) operation in coordination with RGs can solve the stability issues and provide operational support for the power grid and benefit both environment and EV users. This paper utilizes the A∗ search procedure for the first time to solve the optimal decentralized coordinated dispatch problem of RGs and EVs, which is formulated as a distributed multi-objective constraint optimisation problem using the Analytic Hierarchy Process. Both power grid and EV users' concerns and priorities are taken into account. The proposed algorithm is tested on a radial distribution network, a modified UK generic distribution system (UKGDS). The simulation results demonstrate the feasibility and stability of the proposed A∗-based optimal coordinated dispatch strategy.
机译:电动汽车(EV)和可再生发电机(RG)的日益集成是电力系统发展中控制温室气体排放和污染并减少对化石燃料依赖的必然趋势。由于可再生能源的内在间歇性和电动汽车的额外充电负载需求,这将挑战容量受限的配电网络。但是,通过与RG协同进行的车对网(V2G)操作对电动汽车进行适当的调度可以解决稳定性问题,并为电网提供运行支持,从而使环境和电动汽车用户受益。本文首次利用A *搜索程序来解决RGs和EV的最优分散协调调度问题,并使用层次分析法将其分解为分布式多目标约束优化问题。电网和电动汽车用户的顾虑和优先事项均予以考虑。该算法在改进的英国通用配电系统(UKGDS)的径向配电网上进行了测试。仿真结果证明了所提出的基于A *的最优协调调度策略的可行性和稳定性。

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