Title :
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
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);
Conference_Titel :
Computer Applications and Industrial Electronics (ISCAIE), 2012 IEEE Symposium on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-3032-9
DOI :
10.1109/ISCAIE.2012.6482075
