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Optimal Scheduling of Energy Resources and Management of Loads in Isolated/Islanded Microgrids

机译:孤岛/孤岛微电网的能源优化调度与负荷管理

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摘要

Plug-in electric vehicles (PEVs) present a promising solution to mitigate greenhouse gas emissions but on the other hand, their increased penetration can impact power system operation, particularly so in an isolated microgrid. Similarly, demand response (DR) has the potential to provide significant flexibility in the operation of an isolated microgrid with limited generation capacity, by altering the demand and introducing an elasticity effect. This paper proposes a new mathematical model for optimal scheduling of energy resources and smart management of loads which includes smart charging of PEVs, DR, and operation of battery energy storage systems (BESSs), for isolated microgrids. Different case studies are developed to examine isolated microgrid operations when the demand increases, and how the energy management model copes with such increase. The proposed model develops energy management strategies considering the network constraints and different objective functions from the perspective of the microgrid operator as well as from the owners of PEVs and BESS.
机译:插电式电动汽车(PEV)是减轻温室气体排放的一种有前途的解决方案,但另一方面,其渗透率的提高会影响电力系统的运行,尤其是在隔离的微电网中。同样,需求响应(DR)可以通过改变需求并引入弹性效应,在发电能力有限的隔离微电网中提供显着的灵活性。本文提出了一种新的数学模型,用于优化能源资源调度和负载智能管理,其中包括针对孤立微电网的PEV,DR和电池储能系统(BESS)的智能充电。开发了不同的案例研究,以检查需求增加时隔离的微电网运营,以及能源管理模型如何应对这种增长。所提出的模型从微电网运营商以及PEV和BESS所有者的角度出发,考虑了网络约束和不同的目标功能,开发了能源管理策略。

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