Dimensioning of photovoltaic array using Genetic Algorithm

Author

Sulaiman, Shahril Irwan ; Othman, Zulkifli ; Rahman, Titik Khawa Abdul

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia

fYear

2012

Firstpage

89

Lastpage

93

Abstract

This paper presents an Computational Intelligence (CI)-based algorithm for optimizing the configuration of a photovoltaic (PV) array of a grid-connected photovoltaic (GCPV) system using Genetic Algorithm (GA). GA had been used to determine the optimal number of PV modules per strings and the optimal number of parallel PV strings such that the technical performance of the system could be optimized. GA was found to outperform Evolutionary Strategies (ES) during the sizing process in terms of producing higher expected annual energy output for the GCPV system.

Keywords

genetic algorithms; photovoltaic power systems; power grids; power system interconnection; solar cell arrays; CI-based algorithm; ES; GA; GCPV system; PV modules; computational intelligence; evolutionary strategies; genetic algorithm; grid-connected photovoltaic system; parallel PV strings; photovoltaic array; sizing process; Arrays; Genetic algorithms; Inverters; Photovoltaic systems; Sociology; Statistics; array; dimensioning; evolutionary strategy (ES); genetic algorithm (GA); grid-connected photovoltaic (GCPV);

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Applications and Industrial Electronics (ISCAIE), 2012 IEEE Symposium on

Conference_Location

Kota Kinabalu

Print_ISBN

978-1-4673-3032-9

Type

conf

DOI

10.1109/ISCAIE.2012.6482075

Filename

6482075