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
fDate :
May 30 2011-June 3 2011
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;
Conference_Titel :
Power Electronics and ECCE Asia (ICPE & ECCE), 2011 IEEE 8th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-61284-958-4
Electronic_ISBN :
2150-6078
DOI :
10.1109/ICPE.2011.5944515
