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.

I. Introduction

As the global energy crisis intensifies and the environment deteriorates, offshore wind power generation technology is receiving more and more attention. In order to implement the national “double carbon” action plan, offshore wind power generation has gradually become a research hotspot for scholars at home and abroad because of its green energy transformation development concept and ecological priority, green and low-carbon development path of high quality. As a new energy generation system, offshore wind power generation system makes full use of ocean resources to save land space, and can be flexibly connected to the power grid or run independently, which is an effective technical means to solve the problem of electricity consumption in remote areas near the sea [1–3]. However, randomness is an unavoidable characteristic of wind energy, which will lead to fluctuations in wind power generation, and such wind power will have an impact on stabilizing the energy quality of the grid when it is connected to the grid, bringing a severe test to the energy storage equipment and grid dispatching specifications.