Multicoordination Control Strategy Performance in Hybrid Power Systems [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 621.31 Generation, modification, storage, transmission of electric power
• Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Office of the Assistant Secretary of Energy for Fossil Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2018
• Mô tả vật lý: Size: Article No. 031007 : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 255671
• Chủ đề: 1. 24 power transmission and distribution; 2. 30 direct energy conversion; 3. 42 engineering; 4. Centralized 23 control; 5. Et al; 6. Fuel cell; 7. Gas turbine; 8. Hybrid power system; 9. Mimo; 10. Multi-input multi-output control strategy; 11. State-space

Tóm tắt

This paper evaluates a state-space methodology of a multi-input multi-output (MIMO) control strategy using a 2 � 2 tightly coupled scenario applied to a physical gas turbine fuel cell hybrid power system. A centralized MIMO controller was preferred compared to a decentralized control approach because previous simulation studies showed that the coupling effect identified during the simultaneous control of the turbine speed and cathode airflow was better minimized. The MIMO controller was developed using a state-space dynamic model of the system that was derived using first-order transfer functions empirically obtained through experimental tests. The controller performance was evaluated in terms of disturbance rejection through perturbations in the gas turbine operation, and setpoint tracking maneuver through turbine speed and cathode airflow steps. The experimental results illustrate that a multicoordination control strategy was able to mitigate the coupling of each actuator to each output during the simultaneous control of the system, and improved the overall system performance during transient conditions. On the other hand, the controller showed different performance during validation in simulation environment compared to validation in the physical facility, which will require a better dynamic modeling of the system for the implementation of future multivariable control strategies.