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Title: Local control of fuel cell systems within hybrid renewable energy generation using model predictive control
Authors: Chen, S.
Chiu, M.-S. 
Wang, X. 
Keywords: constrained model predictive control
economic optimization
fuel cell
hybrid renewable energy system
Issue Date: 2018
Publisher: Elsevier Ltd
Citation: Chen, S., Chiu, M.-S., Wang, X. (2018). Local control of fuel cell systems within hybrid renewable energy generation using model predictive control. Energy Procedia 145 : 333-338. ScholarBank@NUS Repository.
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: This paper presents model predictive control (MPC) strategies to tracking local control systems when subjected to supervisory optimal trajectories. The supervisory trajectories are generated using economic receding horizon optimization based on energy management in the energy-intensive industry (e.g., chlor-alkali process) with a hybrid renewable energy system (HRES), including solar, wind, and fuel cell sub-systems. A planer solid oxide fuel cell system is adopted in this study, and its power output is regulated using a constrained MPC controller. The feasibility of MPC control algorithm in regulating energy sub-systems to meet supervisory commands will be studied and evaluated at different parameters and against traditional PI controller. © 2018 The Authors. Published by Elsevier Ltd.
Source Title: Energy Procedia
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2018.04.060
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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