Smart Operation Optimization Methods for Hydrogen-Based Energy Systems Under Uncertainties
- Resource Type
- Conference
- Authors
- Chen, Zhiqiang; Yu, Liang; Zhang, Dingfan; Jiang, Qiuyan
- Source
- 2023 China Automation Congress (CAC) Automation Congress (CAC), 2023 China. :4069-4074 Nov, 2023
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Costs
Uncertainty
Automation
Simulation
Hydrogen
Optimization methods
Fuel cells
hydrogen-based energy systems
nonlinear characteristics
proximal policy optimization
expert knowledge
operational cost
carbon emission
- Language
- ISSN
- 2688-0938
The operation optimization of hydrogen-based energy systems (HESs) contributes to the reduction of operational cost and carbon emission. In existing works, operation optimization methods either require prior information of uncertain parameters or do not consider the nonlinear characteristics of electrolyzers and fuel cells. To overcome the drawbacks in existing works, we investigate an expected operational cost minimization problem related to HESs with the consideration of nonlinear characteristics and propose an online operation algorithm to minimize the total operational cost of HESs based on proximal policy optimization and expert knowledge. Moreover, the proposed algorithm does not require any prior knowledge of uncertain parameters. Simulation results show that the proposed algorithm can reduce the total operational cost of HESs by 2.7%-20.5% and carbon emission by 15.6%-44.3% compared with the rule-based scheme.