Renewable Energy Consumption Optimization Allocation Strategy for Regional Microgrid Based on Shared Energy Storage Mechanism

Hongde Ma¹Weiqi Zhang^2*Ziqing Luo¹

• ¹Guangzhou Huali Science and Technology Vocational College, Guangzhou, China
• ²Harbin Institute of Technology, Harbin, China

With the continuous maturation of the sharing economy model, the shared energy storage station service model emerges as a promising new form of user-side energy storage application. This paper proposes a bi-layer optimal configuration method for regional microgrid systems, leveraging the shared energy storage station services. Firstly, this paper introduces and analyzes the new model's operation mechanism and profit model (the financial framework that outlines how the shared energy storage station service generates revenue and manages costs to achieve profitability), emphasizing its role in energy sharing governance to enhance economic and operational efficiency within the microgrid system. Secondly, this service model was applied to the combined cooling, heating, and power regional microgrid system. Aiming at the multiple goals of the lowest operating cost of the energy storage station and the best economic operation of the regional microgrid, a bi-layer optimization model was established. Among them, the outer model aims to solve the configuration problem of energy storage stations. In contrast, the inner model is responsible for optimizing the economic consumption rate (the efficiency with which energy is utilized within the regional microgrids, considering the costs of its generation, storage, and distribution) and the operation of regional microgrids. Furthermore, based on the Karush-Kuhn-Tucker (KKT) condition of the inner layer optimization model, in this paper, the inner layer model is transformed into the constraint conditions of the outer layer model, and the Big-M method is adopted to linearize the nonlinear problems in the model. Finally, through the case analysis of three typical scenarios, the rationality and effectiveness of the proposed bi-layer optimization model were verified. The research results show that after configuring shared energy storage, the operating cost of the regional microgrid system decreases by 15.12%, the new energy consumption rate increases to 97.44%, and the shared energy storage service provider can recover the investment cost within 4.62 years. This indicates that the proposed method for constructing a bi-layer optimization configuration can effectively consider the economic consumption of new energy and significantly improve the economic operation of shared energy storage stations and regional microgrids.