Modeling And Control Of Photovoltaic Stand-Alone System Using State-Space Averaging Method

Mohd Saifuzam, Jamri (2009) Modeling And Control Of Photovoltaic Stand-Alone System Using State-Space Averaging Method. Masters thesis, Universiti Teknologi Malaysia.

[img] PDF (24 Pages)
Modeling_And_Control_Of_Photovoltaic_Stand-Alone_System_Uisng_State-Space_Average_Method.pdf - Submitted Version
Restricted to Registered users only

Download (1MB)

Abstract

Solar energy is gaining more popularity for the choice of electricity generation as it is available everywhere especially in Malaysia and it is free to harness. This paper presents the modeling and control of a stand-alone photovoltaic (PV) system using state-space averaging technique. The PV module is modeled based on the parameters obtained from a commercial PV data sheet while state-space method is used to model the power converter. A DC-DC boost conve1ter is chosen to step up the input DC voltage of the PV module while the DC-AC single-phase full-bridge square-wave inverter was chosen to convert the input DC comes from boost converter into AC element. The integrated state-space model is simulated under a constant and a variable change of solar irradiance and temperature. In addition to that, maximum power point tracking method is also included in the model to ensure that optimum use of PV module is made. A circuitry simulation is performed under the similar test conditions in order to validate the state-space model. Results show that the model yields the similar performance as produced by the circuitry simulation.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Photovoltaic power generation, Photovoltaic power systems -- Design and construction
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Tesis > FKE
Depositing User: Siti Syahirah Ab Rahim
Date Deposited: 02 Oct 2014 17:31
Last Modified: 28 May 2015 04:30
URI: http://eprints.utem.edu.my/id/eprint/13301
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item