Integrated Intelligent Energy ›› 2025, Vol. 47 ›› Issue (10): 77-87.doi: 10.3969/j.issn.2097-0706.2025.10.009

• Coordination of Energy Storage Technologies • Previous Articles    

Energy management strategy and configuration optimization of fuel cell combined heat and power system for household consumers

LIU Kaicheng1,2(), WANG Songcen2(), HE Guixiong1,2, JIA Xiaoqiang1,2(), LI Jiaxin3(), WANG Jin3(), XU Hong3()   

  1. 1. National Key Laboratory of Power Grid SafetyBeijing 100192, China
    2. China Electric Power Research InstituteBeijing 100192, China
    3. State Grid Shanxi Electric Power Research InstituteTaiyuan 030001, China
  • Received:2024-10-29 Revised:2024-12-23 Published:2025-02-19
  • Supported by:
    Science and Technology Project of State Grid(5419-202155344A-0-0-00)

Abstract:

Hydrogen energy is a clean, zero-carbon, long-term storable, flexible, and efficient secondary energy source. The hydrogen-electricity conversion using fuel cells is a crucial application for hydrogen energy to promote the low-carbon transition in the energy and power industry. For household energy use scenarios, a multi-unit mathematical model of a hydrogen fuel cell combined heat and power system was developed, incorporating modules such as fuel cells, electrolytic cells, batteries, hydrogen storage tanks, and heat storage tanks. The electricity and heat load demands of typical regions were analyzed, and a typical daily load curve for household consumers was proposed. Energy management strategies for the system were proposed based on two typical scenarios: peak-valley electricity utilization and clean energy consumption. Preliminary system parameter configurations for each scenario were obtained through multi-parameter joint debugging. The particle swarm optimization algorithm was employed to optimize the system configuration, with economic cost as the objective function. After optimization, the annual average system costs in the scenarios of peak-valley electricity utilization and clean energy consumption were reduced by 7.14% and 6.15%, respectively.

Key words: combined heat and power, household consumers, fuel cell, electrolytic cell, configuration optimization, particle swarm optimization algorithm, clean energy consumption, hydrogen energy

CLC Number: