DocumentCode :
1925696
Title :
Performance analysis of MPPT algorithms for enhancing the efficiency of SPV power generation system: A simulation study
Author :
Chairma Lakshmi, K.R. ; Shankar, K. ; Thangaraj, M. ; Abudhahir, A.
Author_Institution :
Nat. Eng. Coll., Kovilpatti, India
fYear :
2013
fDate :
7-9 Jan. 2013
Firstpage :
1
Lastpage :
5
Abstract :
This work aims to analyze the performance of two popular Maximum Power Point Tracking (MPPT) algorithms, namely Modified Perturb and Observe (P&O) and Incremental Conductance (IncCond) algorithm, by simulation method. The purpose of this analysis is to adopt one of the MPPT algorithms for improving the performance of solar photovoltaic (SPV) power generation system. The performance of SPV power generation system is affected by irradiance, temperature of panel and load. The parameters for simulation of solar panel and other associated blocks were built based on researchers´ geographical location. The results of simulation done in MATLAB/Simulink environment show that the performance of IncCond algorithm performs better than Modified P&O algorithm.
Keywords :
maximum power point trackers; photovoltaic power systems; solar power stations; IncCond algorithm; MATLAB-Simulink environment; MPPT algorithms; P&O algorithm; SPV power generation system; efficiency enhancement; geographical location; incremental conductance algorithm; irradiance; load temperature; maximum power point tracking algorithms; modified perturb and observe algorithm; panel temperature; performance analysis; simulation method; solar panel; solar photovoltaic power generation system; MATLAB; Photovoltaic cells; Radio access networks; Renewable energy sources; Efficiency; MPPT; SPV; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in VLSI, Embedded System, Nano Electronics and Telecommunication System (ICEVENT), 2013 International Conference on
Conference_Location :
Tiruvannamalai
Print_ISBN :
978-1-4673-5300-7
Type :
conf
DOI :
10.1109/ICEVENT.2013.6496530
Filename :
6496530
Link To Document :
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