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Minimization of Power Losses through Optimal Placement and Sizing from Solar Power and Battery Energy Storage System in Distribution System

机译:通过在分配系统中的太阳能和电池储能系统的最佳放置和尺寸,最小化功率损失

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The main concern of renewable generation is that it can help reduce power losses in the grid. Renewable power plants such as Photovoltaic (PV) assisted by a Battery Energy Storage System (BESS) with the right placement and size can provide significant benefits they can certainly further help reduce power loss. This paper, it aims to simulate the power flow by optimizing the placement and size of the PV and BESS considering the power loss using the integrated python DIgSILENT PowerFactory. The proposed methodology concept uses a modified IEEE 33 bus. There are two scenarios, namely systems that are only supported by PV and systems that are supported by PV and BESS, which see the state of charge (SOC). Optimization of placement and size using a Genetic Algorithm (GA). The results obtained from the optimized placement and size show a decrease in power loss, where in the first case, the placement of PV is located on bus 9 with PV capacity can reduce power loss to 2201.66 kW, and the second case, placement of PV is located on bus 9 with PV capacity and BESS is located on bus 16 by looking at the battery operation pattern can reduce the power loss to 2180.01 kW.
机译:可再生生成的主要关注点是它可以帮助降低电网中的功率损失。可再生电厂(如Photovoltaic(PV)的电池储能系统(BESS)的可再生能源电厂,其具有正确的放置和尺寸可以提供显着的益处,它们肯定可以进一步帮助降低功率损耗。本文,旨在通过优化PV和BESS的放置和尺寸来模拟电流,考虑使用集成的Python Digsilent PowerFactory的功率损耗。所提出的方法概念使用修改的IEEE 33总线。有两种情况,即仅由PV和BESS支持的PV和系统支持的系统,即PV和BESS,它看到充电状态(SOC)。使用遗传算法(GA)优化放置和尺寸。从优化的放置和尺寸获得的结果显示了功率损耗的降低,在第一种情况下,PV的放置位于具有PV容量的总线9上,可以将功率损耗降低到2201.66 kW,第二种情况下,PV放置位于公交车9上,PV容量和贝尔斯位于总线16上,通过查看电池操作模式,可以将功率损耗降低到2180.01 kW。

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