Integrated Intelligent Energy

   

Research on energy management strategy and configuration optimization of fuel cell cogeneration system for residential users

  

  1. , 100192, China
    , 030001, China
  • Received:2024-10-29 Revised:2024-12-21
  • Supported by:
    Science and Technology Project of State Grid under Grant of Research(5419-202155344A-0-0-00)

Abstract: A mathematical model of a hydrogen fuel cell cogeneration system, including modules such as fuel cells, electrolytic cells, batteries, hydrogen storage tanks, and heat storage water tanks, was established for residential energy consumption scenarios. Analyzed the electricity and heat consumption in typical regions that meet the demand, and proposed a typical daily load curve for residential users. A system energy management strategy was proposed for two typical scenarios, peak valley electricity utilization and clean energy consumption, and preliminary parameter configuration schemes were obtained through multi parameter joint debugging. We conducted system configuration optimization research using particle swarm optimization algorithm with economy as the objective function. After optimization, the average annual cost of the system decreased by 7.14% and 6.15% respectively in peak valley electricity utilization and clean energy consumption scenarios.

Key words: Cogeneration, Residential users, Fuel cell, Electrolytic cell, Configuration optimization