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Optimal operation of grid-connected microgrid with renewable generation and battery energy storage

机译:可再生发电和电池储能的并网微电网的优化运行

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This paper aims at comparing different optimisation techniques, for finding the charge and discharge schedule of a battery energy storage system (BESS) in a grid-connected microgrid. One of the techniques, based on linear programming (LP), targets to reduce the energy intake from the grid and the diesel generator present in the microgrid. The other technique based on dynamic programming (DP-I), aims towards developing a day-ahead schedule which ensures minimum operating cost of the microgrid throughout the day. The paper also proposes a modified charge/discharge cycle constrained dynamic programming technique with an objective similar to DP-I, but it also aims towards bringing down the number of charge/discharge cycles in a planning day. The effects of the battery schedules prepared from all the three strategies on the lifetime time of the battery, are also compared. This work uses an 192-hour model of aggregated seasonal data of solar, wind, and load demand, along with an aging model in predicting the lifetime of the battery. The proposed work is demonstrated in a 33-bus distribution network.
机译:本文旨在比较不同的优化技术,以找到并网微电网中电池储能系统(BESS)的充电和放电时间表。一种基于线性编程(LP)的技术旨在降低从电网和微电网中存在的柴油发电机的能量摄入。另一项基于动态编程(DP-I)的技术旨在制定提前计划,以确保微电网全天的最低运行成本。本文还提出了一种修改后的充电/放电周期约束动态编程技术,其目标类似于DP-1,但其目的还在于减少计划日内的充电/放电周期数。还比较了从所有三种策略准备的电池计划对电池寿命的影响。这项工作使用了192小时的太阳能,风能和负荷需求季节性数据汇总模型,以及用于预测电池寿命的老化模型。这项建议的工作在一个33总线的配电网络中得到了证明。

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