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Management of renewable-based multi-energy microgrids in the presence of electric vehicles

机译:在电动汽车的存在下管理基于可再生能源的多能源微电网

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This study proposes a stochastic optimisation programming for scheduling a microgrid (MG) considering multiple energy devices and the uncertain nature of renewable energy resources and parking lot-based electric vehicles (EVs). Both thermal and electrical features of the multi-energy system are modelled by considering combined heat and power generation, thermal energy storage, and auxiliary boilers. Also, price-based and incentive-based demand response (DR) programs are modelled in the proposed multi-energy MG to manage a commercial complex including hospital, supermarket, strip mall, hotel and offices. Moreover, a linearised AC power flow is utilised to model the distribution system, including EVs. The feasibility of the proposed model is studied on a system based on real data of a commercial complex, and the integration of DR and EVs with multiple energy devices in an MG is investigated. The numerical studies show the high impact of EVs on the operation of the multi-energy MGs.
机译:这项研究提出了一种随机优化程序,用于调度考虑多个能源设备以及可再生能源和停车场电动汽车(EV)的不确定性的微电网(MG)。通过考虑热电联产,热能存储和辅助锅炉,对多能源系统的热和电特性进行建模。此外,在提议的多能源MG中对基于价格和基于激励的需求响应(DR)程序进行了建模,以管理包括医院,超市,露天商场,酒店和办公室在内的商业综合体。此外,线性化的交流功率流可用于对包括电动汽车在内的配电系统进行建模。在基于商业综合体真实数据的系统上研究了该模型的可行性,并研究了MG中DR和EV与多个能源设备的集成。数值研究表明,电动汽车对多能量MG的运行具有很高的影响。

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