LOW VOLTAGE APPARATUS ›› 2021, Vol. 0 ›› Issue (7): 23-28.doi: 10.16628/j.cnki.2095-8188.2021.07.004

• Hydrogen Energy Storage Technology • Previous Articles     Next Articles

Calculation Method of Rated Power Boundary of Electrolytic Cell Based on Sequential Production Simulation and Air Rejection Rate Constraint

XIE Yongsheng1, YANG Yang2, JING Shibo1, YUAN Tiejiang2, XUE Jingjie1, WANG Zhengyi2   

  1. 1. State Grid Xinjiang Electric Power Co.,Ltd.,Economic and Technological Research Institute, Urumqi 830002,China
    2. School of Electrical Engineering,Dalian University of Technology, Dalian 116024, China
  • Received:2021-03-12 Online:2021-07-30 Published:2021-10-13

Abstract:

The reasonable selection of rated power of electrolyzer is the key problem of hydrogen production by wind power.Aiming at this problem,this paper proposes a calculation method of rated power boundary of electrolyzer based on time series production simulation and considering wind rejection rate.Through the relationship between the output and rated power of the electrolytic cell,the air abandonment rate can be calculated by using the time series production simulation,and then the relationship between the rated power and the air abandonment rate of the electrolytic cell can be obtained.The rated power boundary of the electrolytic cell can be calculated by using the air abandonment rate boundary specified by the state.In order to make the selected typical wind power output day represent the worst situation in the region,the maximum and minimum values of wind wave momentum in the same period of different days are taken as the increase and decrease of wind power output in this period of typical wind power output day.Finally,the above model is verified by using the wind power output data of Hetian 200 MW wind farm.The results show that equipped with electrolyzer for wind farm can greatly reduce the abandoned wind,and the rated power of electrolyzer decreases with the increase of abandoned wind rate.

Key words: hydrogen energy, production simulation, wind power generation, typical day

CLC Number: