Participation Model for Shared Energy Storage Communities Based on Social Network Analysis
Liwei Zhu, Chengjie Jia, Zhenzhong Song, Kai Jiang, Jingling Chen · Procedia Computer Science · 2024
With the “dual carbon” objective in mind, the expansion of new energy microgrids is anticipated, aiming to create an interconnected multi-microgrid system within a single distribution network, tackling the challenge of efficiently utilizing new energy across multiple microgrids. The unpredictability of new energy is a significant hurdle to its utilization, and energy storage plays a crucial role in mitigating this variability. However, the high cost associated with energy storage can be addressed by implementing shared storage facilities. On one hand, each microgrid develops a multi-objective optimization model designed to reduce net load fluctuations and stabilization expenses through energy storage, identifying their specific storage needs, leasing the necessary storage, and communicating this to the shared storage operator. On the other hand, the shared energy storage operator consolidates the energy storage requirements from all microgrids to deploy a centralized shared storage system. By leveraging the synergistic effects of the combined energy storage needs, the actual energy storage capacity required will be less than the total absolute value of individual microgrid demands, thus creating profit margins for the storage operator and enhancing the efficiency of energy storage resource utilization.