General Information
    • ISSN: 1793-821X
    • Frequency: Quarterly (2013-2014); Bimonthly (Since 2015)
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Chemical Abstracts Services (CAS), Ulrich's Periodicals Directory, Google Scholar, ProQuest.
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School of Science and Technology Universiti Malaysia Sabah, Malaysia.
I would like to express my appreciation to all authors, reviewers and edtors.
JOCET 2013 Vol.1(1):6-9 ISSN: 1793-821X

Modeling and Simulation of Maximum Power Point Tracker in Ptolemy

Wei Cai and Leslie Lauren Gouveia

Abstract—This paper presents real time modeling of a simple efficient photovoltaic maximum power point tracker (MPPT) in Ptolemy. The MPPT consists of four components in Ptolemy: the PV component, the DC-DC component, the controller, and the battery. Based on the ambient temperature and solar irradiance, MATLAB results can predict when it is the optimal time to charge the battery. By modifying the PV angle, we can get the maximum solar power. So that’s the real value we need for a real time simulation to see how much power we can get at the end by using Ptolemy software.

Index Terms—MPPT, photovatics, ptolemy, renewable energy.

Wei Cai is with the University of Florida, Gainesville, FL 32601 USA(e-mail:
Leslie Lauren Gouveia, is with Hawaiian Electric CO., Honolulu, HI796813, USA (e-mail:


Cite: Wei Cai and Leslie Lauren Gouveia, "Modeling and Simulation of Maximum Power Point Tracker in Ptolemy," Journal of Clean Energy Technologies vol. 1, no. 1, pp. 6-9, 2013.

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