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Smart Microgrids: Optimal Joint Scheduling for Electric Vehicles and Home Appliances

机译:智能微电网:电动汽车和家用电器的最佳联合调度

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摘要

The integration of renewable energy sources and electrical vehicles (EVs) into microgrids is becoming a popular green approach. To reduce greenhouse gas emissions, several incentives are given to use renewable energy sources and EVs. By using EVs as electricity storage and renewable energy sources as distributed generators (DGs), microgrids become more reliable, stable, and cost-effective. In this paper, we propose an optimal centralized scheduling method to jointly control the electricity consumption of home appliances and plug-in EVs as well as to discharge the latter ones when they have excess energy, thereby increasing the reliability and stability of microgrids and giving lower electricity prices to customers. We mathematically formulate the scheduling method as a mixed integer linear programming (MILP) problem and solve it to optimality. We compare the optimal solution to that obtained from a scheduling framework, where EVs do not have discharge capabilities, decentralized charge control using game theory and to a solution obtained from a naive scheduling framework.
机译:将可再生能源和电动汽车(EV)集成到微电网中正成为一种流行的绿色方法。为了减少温室气体排放,有几种激励措施可以使用可再生能源和电动汽车。通过将电动汽车用作储电设备并将可再生能源用作分布式发电机(DG),微电网变得更加可靠,稳定且具有成本效益。本文提出了一种最优的集中调度方法,可以联合控制家用电器和插电式电动汽车的耗电量,并在能量过剩时将其放电,从而提高了微电网的可靠性和稳定性,并降低了能耗。给客户的电价。我们在数学上将调度方法表述为混合整数线性规划(MILP)问题,并将其求解为最优。我们将最佳解决方案与从电动车不具备放电能力,使用博弈论进行分散式充电控制的调度框架获得的最优解决方案以及从朴素调度框架获得的解决方案进行比较。

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