NDLI: Model predictive control of fuel cell micro cogeneration systems

Content Provider	IEEE Xplore Digital Library
Author	Houwing, M. Negenborn, R.R. Ilic, M.D. De Schutter, B.
Copyright Year	2009
Description	Author affiliation: Faculty of Technology, Policy and Management of Delft University of Technology, Jaffalaan 5, 2628 BX, The Netherlands (Houwing, M.) \|\| Delft Center for Systems and Control of Delft University of Technology, Mekelweg 2, 2628 CD, The Netherlands (Negenborn, R.R.; De Schutter, B.) \|\| Departments of Electrical and Computer Engineering and Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA (Ilic, M.D.)
Abstract	With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system operation are enabled. At the residential level energy costs could be reduced with intelligent price-based control concepts (demand response). A promising, controllable, residential distributed generation technology is micro cogeneration (micro-CHP). Micro-CHP is an energy efficient technology that simultaneously provides heat and electricity to households during operation. This paper presents a detailed model of a household using a proton exchange membrane fuel cell (PEMFC) micro-CHP system in conjunction with heat storage options to fulfil its heat and part of its electricity demand. Furthermore, a decentralised controller based on a model predictive control (MPC) strategy is proposed. MPC can take benefit of future knowledge on prizes and energy demands and can therefore lead to better system performance. In simulations the performance of the MPC-controlled PEMFC system is illustrated under different conditions regarding energy pricing, domestic energy demand, and system configuration.
Starting Page	708
Ending Page	713
File Size	1923596
Page Count	6
File Format	PDF
ISBN	9781424434916
DOI	10.1109/ICNSC.2009.4919364
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-26
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Predictive control Fuel cells Cogeneration Resistance heating Power system modeling Distributed control Energy resources Information technology Costs model predictive control Demand response distributed energy resources PEM fuel cells micro cogeneration
Content Type	Text
Resource Type	Article

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