TY - GEN
T1 - Energy Management Strategy and Configuration Optimization for Fuel Cell Combined Heat and Power System Considering Multi-Energy Flow Coupling Characteristics
AU - Zhu, Yudong
AU - Liu, Zhangli
AU - Wu, Qianhong
AU - Miao, Changhai
AU - Dong, Junchen
AU - Li, Shuchang
AU - Chen, Lei
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper focuses on fuel cell combined heat and power (CHP) systems and conducts research on multi-energy flow coupling energy management strategy. By constructing a system-level operational simulation model, an energy management strategy based on the fluctuation characteristics of cooling, heating, and electricity loads as well as the peak-valley electricity price mechanism is formulated. The dynamic operation process of the system under typical operating conditions is simulated, and the coordinated control mechanism among fuel cells, electrolyzers, energy storage devices, and the power grid is clarified. Through the analysis of multi-energy flow coupling results, the significant advantages of the system in cooling-heating-electricity multienergy complementarity and multi-period collaboration are further verified, providing support for the efficient operation of the system. Finally, the system parameters under this strategy are matched and optimized by using particle swarm optimization algorithm with the goal of economic behavior. After optimization, the cost of the system is reduced by 3.92%.
AB - This paper focuses on fuel cell combined heat and power (CHP) systems and conducts research on multi-energy flow coupling energy management strategy. By constructing a system-level operational simulation model, an energy management strategy based on the fluctuation characteristics of cooling, heating, and electricity loads as well as the peak-valley electricity price mechanism is formulated. The dynamic operation process of the system under typical operating conditions is simulated, and the coordinated control mechanism among fuel cells, electrolyzers, energy storage devices, and the power grid is clarified. Through the analysis of multi-energy flow coupling results, the significant advantages of the system in cooling-heating-electricity multienergy complementarity and multi-period collaboration are further verified, providing support for the efficient operation of the system. Finally, the system parameters under this strategy are matched and optimized by using particle swarm optimization algorithm with the goal of economic behavior. After optimization, the cost of the system is reduced by 3.92%.
KW - configuration optimization
KW - dynamic simulation
KW - energy management strategy
KW - fuel cell combined heat and power system
KW - multi-energy flow coupling
UR - https://www.scopus.com/pages/publications/105034464441
U2 - 10.1109/ICIPS67876.2025.11332148
DO - 10.1109/ICIPS67876.2025.11332148
M3 - 会议稿件
AN - SCOPUS:105034464441
T3 - 2025 5th International Conference on Intelligent Power and Systems, ICIPS 2025
SP - 340
EP - 348
BT - 2025 5th International Conference on Intelligent Power and Systems, ICIPS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 5th International Conference on Intelligent Power and Systems, ICIPS 2025
Y2 - 24 October 2025 through 26 October 2025
ER -