A Combined Voltage Control Strategy for Fuel Cell

Li Sun, Qingsong Hua, Jiong Shen, Yali Xue, Donghai Li and Kwang Y. Lee
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Li Sun: Key Lab of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China
Qingsong Hua: School of Mechanical and Electrical Engineering, Qingdao University, Ningxia Road 308, Qingdao 266071, China
Jiong Shen: Key Lab of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China
Yali Xue: State Key Lab for Power Systems, Tsinghua University, Beijing 100084, China
Donghai Li: State Key Lab for Power Systems, Tsinghua University, Beijing 100084, China
Kwang Y. Lee: Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798-7356, USA

Sustainability, 2017, vol. 9, issue 9, 1-15

Abstract: Control of output voltage is critical for the power quality of solid oxide fuel cells (SOFCs), which is, however, challenging due to electrochemical nonlinearity, load disturbances, modelling uncertainties, and actuator constraints. Moreover, the fuel utilization rate should be limited within a safety range during the voltage regulation transient. The current research is usually appealing to model predictive control (MPC) by formulating the difficulties into a constrained optimization problem, but its huge computational complexity makes it formidable for real-time implementation in practice. To this end, this paper aims to develop a combined control structure, with basic function blocks, to fulfill the objectives with minor computation. Firstly, the disturbance, nonlinearity and uncertainties are lumped as a total disturbance, which is estimated and mitigated by active disturbance rejection controller (ADRC). Secondly, a feed-forward controller is introduced to improve the load disturbance rejection response. Finally, the constraints are satisfied by designing a cautious switching strategy. The simulation results show that the nominal performance of the proposed strategy is comparable to MPC. In the presence of parameter perturbation, the proposed strategy shows a better performance than MPC.

Keywords: sustainable energy; solid oxide fuel cells (SOFCs); model predictive control (MPC); active disturbance rejection control (ADRC) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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