• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2022, Vol. 43 ›› Issue (1): 10-18.doi: 10.12204/j.issn.1000-7229.2022.01.002

• Energy and Power Technology, Economy and Policies Towards Carbon Peaking and CarbonNeutrality•Hosted by Associate Professor ZHAO Junhua, Dr. QIU Jing and Professor WEN Fushuan• • Previous Articles     Next Articles

Optimal Configuration of Hydrogen Energy Storage for Wind and Solar Power Stations Considering Electricity-Hydrogen Coupling Under Carbon Neutrality Vision

XU Chuanbo1,2(), ZHAO Yunhao3(), WANG Xiaochen4(), KE Yiming5()   

  1. 1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
    2. Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing 102206, China
    3. National Institute of Energy Development Strategy, North China Electric Power University, Beijing 102206, China
    4. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
    5. Energy and Electricity Research Center, Jinan University, Zhuhai 519070,Guangdong Province,China
  • Received:2021-08-06 Online:2022-01-01 Published:2021-12-21
  • Contact: KE Yiming E-mail:90102479@ncepu.edu.cn;yunhaozhao@ncepu.edu.cn;wangxiaochen@sgeri.sgcc.com.cn;keyiming@jnu.edu.cn
  • Supported by:
    National Key R&D Program of China(2021YFE0102400);China Postdoctoral Science Foundation(2020M680488);China Postdoctoral Science Foundation(2021M691231)

Abstract:

Due to the fluctuation and intermittence of new energy output, its direct access to the grid will affect the safe and stable operation of the power system. In order to promote renewable energy consumption, developing hydrogen storage system coupled with electricity and hydrogen is an effective way. For this reason, aiming at the optimal configuration of hydrogen storage capacity of new energy power station at the power generation side, a multi-objective optimal configuration model of hydrogen energy storage is established with the minimum investment cost of hydrogen energy storage, the minimum system cumulative tracking plan error and the maximum increment of carbon dioxide emission reduction as the objective function, and the abandonment rate and the actual site area as the constraints. The model is solved by the combination of genetic algorithm with elitist strategy and entropy weight method. Finally, the effectiveness of the proposed model and algorithm is verified by a case study in Gansu Province, China. The results show that the optimal number of 200 kW electrolytic cells, 6 kg hydrogen storage tanks and 200 kW fuel cells are 268, 291 and 222, respectively. The hydrogen storage system can actively respond to the dispatching command and greatly reduce the power abandonment rate.

Key words: generation side, wind and solar power station, hydrogen energy storage, capacity configuration

CLC Number: