1.Engineering Research Center for Energy Generation & Grid of Ministry of Education (Xinjiang University), Urumqi 830017, China;2.State Key Laboratory of Power System and Generation Equipment (Tsinghua University), Beijing 100084, China;3.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

The construction of energy storage power stations can alleviate the problem of “abandoned wind and power curtailment” in “Three North” regions in China, and improve the ability of local power grids to accommodate the abandoned wind. However, the high cost of energy storage invested by a single investor limits the popularization and application of energy storage. Aiming at this problem, a hierarchical optimal configuration model of dual energy storage system based on multi-agent investment is constructed. First, a coordinated operation strategy of dual energy storage considering cycle life is proposed to reduce the life loss caused by frequent charge-discharge switching. Then, in order to maximize the benefits of multiple investors, a two-layer optimization economic model is proposed. The upper layer optimization aims to maximize the annual income of the wind farm and the power grid operator, while the lower layer optimization aims to minimize the sum of the charging and discharging capacity indices of dual energy storage. The improved multi-objective slime mould algorithm and fuzzy membership function are used to solve the model. Finally, taking the real-time operation data of a wind farm in Hami, Xinjiang Uygur Autonomous Region, China as an example, the effectiveness of the proposed method is verified.