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Risk-based energy management of renewable-based microgrid using information gap decision theory in the presence of peak load management

机译:峰值负荷管理下基于信息缺口决策理论的基于可再生能源的微电网基于风险的能源管理

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The operator of renewable-based microgrid (MG) tries to supply the local load with the lowest cost from the alternative energy sources containing upstream grid, micro-turbines (MTs), renewable energy sources (RESs) (photovoltaic (PV) systems and wind-turbines (WT)) and energy storage system (ESS). To purchase power from upstream grid, the optimal bidding curve of MG should be prepared to bid the market operator. Therefore, this paper proposes an information gap decision theory (IGDT) to obtain the bidding strategy of MG. IGDT includes the robustness and opportunity functions for upstream grid price uncertainty modeling. MG can consider the robustness decision (risk-averse) or the opportunity decision (risk-taking) under uncertainty environment. Also, the operator of MG uses the demand response program (DRP) which purpose is to reduce the energy procurement cost. Meanwhile, the proposed stochastic model considers the uncertainty modeling of local load and RESs output power by using a scenario stochastic model. To show the capability of proposed approach, two cases considering without and with DRP are studied. Beneficial results of DRP are utilized in case B, which the operation cost in case B is% 4.6 less than case A.
机译:基于可再生能源的微电网(MG)的运营商试图以成本最低的方式从包含上游电网,微型涡轮机(MT),可再生能源(RES)(光伏(PV)系统和风能)的替代能源中提供本地负荷-涡轮机(WT)和储能系统(ESS)。要从上游电网购买电力,应准备MG的最佳竞标曲线以竞标市场运营商。因此,本文提出了一种信息缺口决策理论(IGDT)来获得MG的竞标策略。 IGDT包括用于上游电网价格不确定性建模的鲁棒性和机会函数。 MG可以考虑不确定性环境下的鲁棒性决策(规避风险)或机会决策(风险承担)。此外,MG的运营商使用需求响应程序(DRP),目的是降低能源采购成本。同时,提出的随机模型考虑了情景随机模型对局部负荷和RESs输出功率的不确定性建模。为了展示所提出方法的能力,研究了两种情况下不使用DRP和使用DRP的情况。在案例B中使用了DRP的有益结果,案例B的运行成本比案例A低4.6%。

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