Energy Management Strategy of Fuel Cell Backup Power Systems Based on Model Predictive Control
Yu Cheng, Liyan Zhang, Qihong Chen, Xiaodi Shen
AI summary
100% confidenceInternational MES research in renewable-energy with focus on renewable-integration, membrane, performance. Due to the noise of diesel engine backup power systems, serious environmental pollution, and the inability to provide un...
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Abstract
Due to the noise of diesel engine backup power systems, serious environmental pollution, and the inability to provide uninterrupted power supply, the backup power system of proton exchange membrane fuel cells has gradually attracted the attention of the industry. This article mainly focuses on a backup power system consisting of two fuel cells and lithium-ion batteries as the research object and proposes an energy management strategy based on model predictive control (MPC). MPC, under the constraints of fuel cell output power and output power increment, takes system hydrogen consumption as the objective function to solve the optimal power distribution between fuel cell and lithium-ion battery. Finally, MPC is compared with state machine energy management strategy by simulation. The results show that the energy management strategy based on MPC reduces hydrogen consumption by 18.83% and improves the overall efficiency of the fuel cell by 3.05%.
Keywords
Identifiers
- Journal
- 2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE)
- Year
- 2022