Optimal Capacity Allocation of Hybrid Energy Storage System for Offshore Wind Power Platform Based on Improved Particle Swarm Algorithm

Reducing the magnitude of wind power grid fluctuations to ensure the stability of the power system has been a research hotspot in the development of offshore wind platforms. How to optimize the capacity of hybrid energy storage system while achieving the task of power output smoothing is also an important issue in this field. This paper proposes a method to optimize the configuration of hybrid energy storage system capacity for offshore wind power platform using improved particle swarm algorithm, with the goal of minimizing investment costs. The stable and safe operation of the offshore wind power system is ensured on the basis of comprehensive consideration of its operational state design constraints. Additionally, the optimization results and iteration curves of the improved particle swarm algorithm and the standard particle swarm algorithm are also presented in this paper to verify the improvement effect on the standard particle swarm algorithm.