DocumentCode
2107623
Title
Optimization of battery energy storage system with super-capacitor for renewable energy applications
Author
Hu, Xiaolei ; Tseng, K.J. ; Srinivasan, M.
Author_Institution
Nanyang Technol. Univ., Singapore, Singapore
fYear
2011
fDate
May 30 2011-June 3 2011
Firstpage
1552
Lastpage
1557
Abstract
In order to deliver continuous power from renewable energy systems, such as solar and wind power, which may be intermittent, Battery/Super-Capacitor hybrid systems have been proposed. To maximize battery lifespan and storage capacity, charging/discharging cycles should be minimized. In this paper, a control strategy based on Model Predictive Control (MPC) is proposed. Perturbation of battery current is minimized and the rating of super capacitor is optimally selected, so as to enable the battery to meet the energy demand while having the super-capacitor to meet the power requirement of the load. Simulation in MATLAB shows the proposed control strategy to be achieving a desired and optimal performance.
Keywords
battery storage plants; energy storage; optimisation; power grids; predictive control; renewable energy sources; secondary cells; supercapacitors; MPC; Matlab; battery energy storage system; charging-discharging cycle; control strategy; model predictive control; optimization; power grid; renewable energy application; solar power; supercapacitor; wind power; Batteries; Capacitors; Equations; Load modeling; Mathematical model; Renewable energy resources; Voltage control; Battery; Energy Storage System; Model Predictive Control; Super-Capacitor;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and ECCE Asia (ICPE & ECCE), 2011 IEEE 8th International Conference on
Conference_Location
Jeju
ISSN
2150-6078
Print_ISBN
978-1-61284-958-4
Electronic_ISBN
2150-6078
Type
conf
DOI
10.1109/ICPE.2011.5944515
Filename
5944515
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