Design of Trading Mode and Decision-Making for Independent Energy Storage Participating in in-depth Peak Regulation

The proportion of renewable energy such as wind and solar is gradually increasing, and become the main resource in the power system. However, renewable energy shows inverse peak regulation characteristics, which further increases the pressure of in-depth peak regulation. Independent energy storage can be employed for in-depth peak regulation, but there lack of mechanisms. Therefore, this paper focuses on the trading and decision-making mechanisms for independent energy storage participating in in-depth peak regulation. At first, the definition of independent energy storage is presented, including its abilities and technical standards. Then, the trading mechanism for independent energy storage participating in in-depth peak regulation is proposed, and a quotation model and settlement method considering the in-depth peak regulation cost characteristics is established. Finally, the K-means clustering algorithm is used to obtain typical scenarios, and the benefits and social benefits of energy storage participating in the in-depth peak regulation market in different quotations are analyzed. The results show that the proposed mode for independent energy storage participating in in-depth peak regulation increases the income of independent energy storage entities and the operating economy of the power system.