Artificial immune system for sizing grid-connected photovoltaic system

Author

Sulaiman, S.I. ; Rahman, T.K.A. ; Musirin, I.

Author_Institution

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

fYear

2011

fDate

6-7 June 2011

Firstpage

398

Lastpage

403

Abstract

This paper presents an intelligent-based sizing algorithm for the design of grid-connected photovoltaic (GCPV) system using artificial immune system (AIS). AIS had been used to select the optimal PV module and inverter from pre-developed PV module and inverter database such that the expected technical performance of the design could be optimized. The AIS had outperformed the genetic algorithm (GA) and particle swarm optimization (PSO) during the sizing process in terms of producing better optimum results despite having the largest computation time.

Keywords

artificial immune systems; genetic algorithms; invertors; particle swarm optimisation; photovoltaic power systems; power grids; artificial immune system; genetic algorithm; grid-connected photovoltaic system; intelligent-based sizing algorithm; inverter database; optimal PV module; particle swarm optimization; Algorithm design and analysis; Arrays; Databases; Inverters; Photovoltaic systems; Software; artificial immune system; inverter; module; photovoltaic; sizing;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Optimization Conference (PEOCO), 2011 5th International

Conference_Location

Shah Alam, Selangor

Print_ISBN

978-1-4577-0355-3

Type

conf

DOI

10.1109/PEOCO.2011.5970448

Filename

5970448