Electric Power ›› 2023, Vol. 56 ›› Issue (10): 11-21.DOI: 10.11930/j.issn.1004-9649.202208038

• Key Technology of Hydrogen Energy and Its System Integration Control for the New Power System • Previous Articles     Next Articles

Medium and Long-Term Hydrogen Load Prediction Based on System Dynamics

Tiejiang YUAN1(), Yijin ZHANG1(), Zijuan YANG1,2(), Dongfang JIANG3()   

  1. 1. College of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
    2. School of Electronic Control, Xi’an University of Science and Technology, Xi’an 710054, China
    3. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
  • Received:2022-08-10 Accepted:2022-11-08 Online:2023-10-23 Published:2023-10-28
  • Supported by:
    This work is supported by the Set Up Projects of State Grid Economic Research Institute Co., Ltd. (Study on Peak Path of Carbon Emission in Power System Based on New Energy Cloud, No.ZZKJ-2021-03)

Abstract:

Hydrogen energy will play a great role in various fields under the background of “double carbon”, it is important to carry out medium and long-term forecasting of hydrogen demand, and propose a medium and long-term forecasting model of provincial hydrogen demand based on the system dynamics approach. Firstly, the hydrogen demand was divided into three major areas, namely, industry, heating and transportation, and the interaction of internal factors of each subsystem and the influence of external factors such as economic development and policy support were considered to analyze the cause-effect relationship and construct the prediction equation, and on this basis, a flow chart of the total system hydrogen demand prediction was drawn. Secondly, the system parameters are set, and the equation constants are obtained by least squares equation regression, and the table function parameters are set based on the development plan of the province and the gray model. Finally, the system dynamics model built was used to forecast the hydrogen demand in the province.

Key words: system dynamics, hydrogen load prediction, causal analysis, system flow chart, grey model