Yongqiang Sun, Haiyue Yang, Lijuan Gao, Yongchao Wu, Zien Li, Haiping Liang
Distributed energy storage; power flow delivery; multi-scene; energy storage optimal configuration; photovoltaic consumption rate
Energy storage is a key technology for supporting and building new power distribution systems. With the gradual rise of distributed en- ergy storage, recent research initiatives have prioritized the develop- ment of optimization strategies for distributed energy storage system architectures, and there is a lack of research on the distributed trans- formation of centralized energy storage systems. A multi-scenario energy storage optimal configuration strategy for the new power dis- tribution system is proposed. First, apply the K-means clustering algorithm to reduce the initial scene; then, a three-layer coordina- tion planning model is constructed. The upper layer targets the op- timal daily operation economic benefit, an optimization framework employing dynamic pricing models determines coordinated dispatch strategies for legacy centralized energy storage systems and newly integrated distributed storage units through time-of-use tariff syn- chronization., the middle layer targets the construction levelized cost of original centralized energy storage, the lower layer targets the re- maining scenarios, and decides the optimal al-location plan and oper- ational strategy. Finally, the new distribution system of the IEEE33 node with a high proportion of new energy is used for example anal- ysis. The effectiveness of the model in this paper is verified.
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