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Day-ahead microgrid optimal self-scheduling: Comparison between three methods applied to isolated DC microgrid

机译:日前微电网最优自调度:隔离直流微电网的三种方法的比较

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This paper presents three different methods to optimize a day-ahead self-scheduling for an isolated DC microgrid operation. Based on forecast data, a multi-objective cost function is formulated aiming to minimize the total energy cost by reducing the micro-turbine fuel consumption, avoiding photovoltaic power limitation and load shedding, while respecting the storage parameters and microgrid operation constraints. The problem is solved with two different optimization algorithms and one rule-based algorithm. The comparison is made on the total energy cost and computational cost for each proposed approach. The results prove that the mixed integer linear programing optimization permits to obtain the lower total energy cost with a reasonable computational cost.
机译:本文提出了三种不同的方法来优化隔离式DC微电网操作的日前自调度。基于预测数据,制定了一个多目标成本函数,旨在通过降低微型涡轮机的燃料消耗,避免光伏发电的限制和减载,同时尊重存储参数和微型电网的运行限制,从而将总能源成本降至最低。通过两种不同的优化算法和一种基于规则的算法解决了该问题。比较每种提议方法的总能源成本和计算成本。结果证明,混合整数线性规划优化允许以合理的计算成本获得较低的总能源成本。

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