Rental strategy for energy storage to participate in frequency regulation market

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Smart Grid Pub Date : 2022-06-21 DOI:10.1049/stg2.12079

Xiaorong Wang, Yundong Yu, Xiaohe Yan, Nian Liu

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Abstract

Energy storage (ES) can help the renewable energy sources to smooth their output and enhance their profits, which promotes the installation of ES. However, it is inappropriate for small-scale renewable energy communities (REC) to invest costly ES, which requests a new business model to explore the possibility to rent ES for more returns. This paper proposes an ES rental strategy for REC to participate in the frequency regulation market (FRM). Firstly, the FRM is modelled considering the regulation capacity and mileage price. Then, the rental model for REC is built considering capacity rental costs and ES using costs. The correlation of rental capacity with reserved capacity and mileage is built through rental costs and revenue in FRM. The operation method for ES is carried out to maximise the total profits of REC. Finally, the whole model is demonstrated with a REC which has 35 MW photovoltaic and 113 MW wind turbine. The results show that under different rental and market prices, the REC can effectively choose the optimal rental strategy and its profits can mostly be raised by 19.63%.

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储能租赁策略参与频率调节市场

储能系统可以帮助可再生能源平稳输出，提高利润，从而促进了储能系统的安装。然而，小规模的可再生能源社区(REC)不适合投资昂贵的可再生能源，这需要一种新的商业模式来探索租用可再生能源以获得更多回报的可能性。本文提出了中国电力公司参与频率调节市场的ES租赁策略。首先，建立了考虑调节能力和里程价格的FRM模型。然后，考虑产能租赁成本和ES使用成本，建立了REC的租赁模型。在FRM中，通过租赁成本和收益建立租赁容量与保留容量和里程的相关性。ES的操作方法是为了使REC的总利润最大化。最后，用一个拥有35兆瓦光伏和113兆瓦风力涡轮机的REC来演示整个模型。结果表明，在不同的租金和市场价格下，REC可以有效地选择最优的租赁策略，其利润最多可提高19.63%。

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