Optimal Configuration of Energy Storage in Weak Grid based on Intelligent Optimization Algorithm

The variability and unpredictability of renewable energies can lead to instability in weak power grids. Energy storage systems are crucial for modern power system operations, mitigating the impacts of renewables and offering enhanced flexibility. However, these systems come with higher operational costs compared to traditional fossil-fuel generators. This paper aims to optimize the utilization of energy storage by balancing costs and benefits. Firstly, a distributed weak grid system model is established, including PV generators, a diesel generator, and energy storage batteries. Secondly, intelligent supervisory algorithm is used to find effective global optima for the nonconvex optimization problem; Thirdly, comparative studies over the distribution system with and without distributed energy systems are provides. It shows that the power loss and voltage fluctuation of distributed energy storage configuration is smaller than that of weak grids without energy storage configuration. The algorithm is verified by an actual system derived from Ali region of Tibet province.