Title :
Implementation of a multiple input converter using fuzzy logic control for a stand-alone photovoltaic system
Author :
Smith, Nadia ; McCann, Roy
Author_Institution :
Univ. of Arkansas, Fayetteville, AR, USA
Abstract :
Photovoltaic (PV) systems are increasingly being used as distributive generation sources for renewable energy despite their low solar energy conversion to the grid. PV modules have nonlinear characteristics that are determined by solar irradiance and temperature which influences the overall output power of the system. To account for these nonlinearities, maximum power point tracking (MPPT) techniques are implemented to boost the efficiency of the photovoltaic system. A Cuk-Cuk-Cuk Multiple Input Converter (MIC) is presented to accommodate PV sources with different electrical characteristics for simultaneously transferring power to a load. In this paper, a fuzzy logic controller is used to control a Cuk-Cuk-Cuk MIC to extract the maximum power from the PV sources to charge a 12 volt battery. This technique is compared with the Perturb and observe (P&O) algorithm and the results show that the fuzzy logic controller improves the overall performance of the MIC.
Keywords :
distributed power generation; fuzzy control; maximum power point trackers; photovoltaic power systems; power convertors; power generation control; power grids; renewable energy sources; solar energy conversion; sunlight; CUk-Cuk-Cuk multiple input converter; MIC; MPPT technique; P&O algorithm; PV module; distributive generation source; electrical characteristics; fuzzy logic control; maximum power point tracking technique; nonlinear characteristics; perturb and observe algorithm; power grid; renewable energy; solar energy conversion; solar irradiance; stand-alone photovoltaic system; voltage 12 V; Batteries; Microwave integrated circuits; Niobium; Switches; Multiple Input Converter; Photovoltaic; fuzzy logic control; maximum power point tracking;
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2012.6388778