Day-ahead economic scheduling of energy storage

I. Lampropoulos, P. Garoufalis, P. V. D. Bosch, R. Groot, W. Kling
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引用次数: 6

Abstract

This article addresses the day-ahead economic optimisation of energy storage systems within the setting of electricity spot markets. The case study is about a lithium-ion battery system integrated in a low voltage distribution grid with residential customers and photovoltaic generation in the Netherlands, whereas the optimisation objective is to maximise revenues from energy arbitrage in the day-ahead auction. Assuming accurate predictions of the photovoltaic generation, the residential load and the market clearing prices, the constrained optimisation problem is formulated as the minimisation of a cost function, and is solved by utilising an internal model of the battery system to plan the future response of the charging and discharging process. Emphasis is given on the effect of the system efficiency, which significantly impacts the economic performance due to energy losses during the charging and discharging cycles.
储能日前经济调度
本文讨论了电力现货市场环境下储能系统的日前经济优化问题。该案例研究是关于将锂离子电池系统集成到荷兰的低压配电网中,与住宅客户和光伏发电相结合,而优化目标是在前一天的拍卖中最大化能源套利的收入。假设光伏发电、居民负荷和市场出清价格的准确预测,约束优化问题被表述为成本函数的最小化,并通过利用电池系统的内部模型来规划充电和放电过程的未来响应来解决。重点讨论了系统效率的影响,由于充放电周期中的能量损失,系统效率对经济性能的影响很大。
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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