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

fYear

2008

fDate

5-7 May 2008

Firstpage

619

Lastpage

624

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/MELCON.2008.4618503

Filename

4618503