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A MINLP Model to Optimize Battery Placement and Operation in Smart Grids

机译:用于优化智能电网中电池放置和运行的MINLP模型

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This paper proposes a mixed-integer nonlinear programming model (MINLP) to address the battery energy storage system placement problem (BESP). The solution provides the battery energy storage system (BES) operational policy and a solution for the BESP in order to achieve the reduction of energy losses cost. The model considers AC power flow and voltage magnitude constraints; the battery equations are included into the model in order to provide its daily operation. It also considers a photovoltaic energy plant connected to the distribution feeder. The computational studies evaluate the energy costs and the maximum voltage in each bus of a 34- bus test feeder. The results show that the BES policy can reduce up to 24% of the costs with energy losses depending on the result of BESP; besides, the BES operation allows a reduction in the maximum voltage for all scenarios.
机译:本文提出了混合整数非线性编程模型(MINLP)来解决电池储能系统放置问题(BESP)。该解决方案提供了电池储能系统(BES)操作政策和BESP的解决方案,以实现能量损失成本的降低。该模型考虑交流电流和电压幅度约束;电池方程包含在模型中,以便提供其日常操作。它还认为连接到分配馈线的光伏能量设备。计算研究评估了34总线测试馈线的每个总线中的能量成本和最大电压。结果表明,BES政策可以根据BESP的结果减少能量损失的高达24%的成本;此外,BES操作允许减少所有场景的最大电压。

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