Optimal Sizing and Siting of Battery Energy Storage Systems with Retired Battery

Chico Hermanu Brillianto Apribowo, Sarjiya, S. P. Hadi, F. D. Wijaya
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引用次数: 1

Abstract

Battery energy storage system (BESS) can improve reliability with a reduced load of loss and reduce the uncertainty of photovoltaic (PV) to maintain a stable operating system in the power grid. BESS optimization refers to the sizing and siting of BESS, which is becoming more popular among consumers of cost-effectiveness, energy reduction, and demand cost. However, the use of retired batteries as BESS is a new challenge. Apart from solving the problem of battery disposal, it is also still used for providing service BESS, especially in terms of cost. Therefore, this study aims to deal with optimal sizing and siting BESS on a large power grid with retired battery or second-life battery to analyze energy shifting in reducing loss of load and PV peak shaving in the IEEE RTS-24 case study uses mixed integer linear programming (MILP) model. As a result, in the optimal BESS, retired batteries are placed on buses 6, 7, and 8, with a total capacity of 55.3 MW and 124.78 MWh. As a result, the optimal BESS can improve reliability by reducing PV curtailment costs by 66% and loss of load from cases without BESS. Moreover, BESS optimal can reduce cost BESS by 13.63% and total operation cost by 0.4% lower than case BESS without optimal.
退役电池储能系统的优化尺寸与选址
电池储能系统(BESS)可以在降低负荷损耗的同时提高可靠性,降低光伏(PV)的不确定性,维持电网系统的稳定运行。BESS优化是指BESS的尺寸和选址,越来越受到消费者对成本效益、节能和需求成本的青睐。然而,使用退役电池作为BESS是一个新的挑战。除了解决电池的处置问题,它也仍然用于提供服务BESS,特别是在成本方面。因此,本研究旨在解决BESS在具有退役电池或二次寿命电池的大型电网上的最佳规模和位置问题,并在IEEE RTS-24案例研究中使用混合整数线性规划(MILP)模型来分析能量转移在减少负载损失和光伏调峰方面的作用。因此,在最佳BESS中,将退役电池放置在6、7、8号公交车上,总容量为55.3 MW和124.78 MWh。因此,最佳BESS可以通过降低66%的光伏弃电成本和无BESS情况下的负载损失来提高可靠性。优化后的BESS成本比未优化的BESS低13.63%,总运行成本比未优化的BESS低0.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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