Integrated Intelligent Energy ›› 2022, Vol. 44 ›› Issue (5): 49-55.doi: 10.3969/j.issn.2097-0706.2022.05.005

• Optimization for Configuration • Previous Articles     Next Articles

Optimal planning of hybrid energy storage systems in microgrids considering seawater desalination and hydrogen production

Xinye DU(), Jianxi WANG(), Yonghui SUN(), Yi HE(), Pengpeng WU(), Wei ZHOU()   

  1. College of Energy and Electrical Engineering,Hohai University,Nanjing 210098,China
  • Received:2021-11-18 Revised:2022-04-07 Online:2022-05-25 Published:2022-06-09

Abstract:

Making optimal planning for electricity-hydrogen hybrid energy storage systems is an effective way to solve the problem of large-scale offshore wind power consumption in coastal areas.Local consumption and hydrogen’s green production and efficient application are given priority in offshore wind power utilization, and an operation model and a life cycle cost(LCC) model for a hybrid energy storage system in an offshore wind power-connected microgrid are constructed.Then,a bi-level planning model for the hybrid energy storage system considering seawater desalination and hydrogen production is proposed.The model taking economic optimization as as its objective function can solve the capacity allocation and scheduling optimization of the offshore wind power-connected microgrid. And CPLEX solver and improved particle swarm optimization(PSO) are used to solve the inner and outer models respectively. Finally,a simulation is carried out on an offshore wind farm,and the results show that the total cost of the offshore wind power-connected microgrid has dropped by 19.5% and the wind power curtailment ratio of the offshore wind farm has reduced by 9.3% after the optimal planning for the hybrid energy storage system. The simulation prove the validity and feasibility of the proposed model.

Key words: offshore wind power, seawater desalination, hybrid electric-hydrogen energy storage system, bi-level programming, improved particle swarm algorithm, hybrid energy storage system, hydrogen production, microgrid

CLC Number: