Title :
Optimal energy management of a photovoltaic stand-alone dual battery system
Author :
Barca, G. ; Moschetto, A. ; Sapuppo, C. ; Tina, G.M. ; Giusto, R. ; Grasso, A.D.
Author_Institution :
DIEES-IDRILAB, Catania Univ., Catania
Abstract :
The paper introduces a new optimal energy management method for photovoltaic stand-alone dual battery systems. The method exploits a predictive state of charge (SOC) model to implement the control algorithm. To validate the proposed algorithm a stand-alone photovoltaic system has been modeled. Finally, Monte Carlo simulations based on a probabilistic model of the solar radiation have been performed. The results have shown the validity of the proposed control strategy over other methods based on voltage control only.
Keywords :
Monte Carlo methods; battery chargers; battery management systems; energy management systems; photovoltaic power systems; voltage control; Monte Carlo simulations; control algorithm; optimal energy management; photovoltaic stand-alone dual battery system; predictive state of charge model; probabilistic model; solar radiation; voltage control; Battery management systems; Control systems; Costs; Energy management; Flowcharts; Photovoltaic systems; Predictive models; Solar power generation; Switches; Voltage control; DOD; DUAL BATTERY; Monte Carlo Simulation; PV system; SOC;
Conference_Titel :
Electrotechnical Conference, 2008. MELECON 2008. The 14th IEEE Mediterranean
Conference_Location :
Ajaccio
Print_ISBN :
978-1-4244-1632-5
Electronic_ISBN :
978-1-4244-1633-2
DOI :
10.1109/MELCON.2008.4618503
