Open AccessSolution for sizing a PV/diesel HPGS for isolated sites
Author(s) -
Askarzadeh Alireza
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2016.0319
Subject(s) - sizing , photovoltaic system , diesel generator , particle swarm optimization , mathematical optimization , computer science , diesel fuel , population , automotive engineering , power (physics) , control theory (sociology) , engineering , mathematics , electrical engineering , artificial intelligence , chemistry , physics , demography , control (management) , quantum mechanics , sociology , organic chemistry
The main contribution of this study is to propose a novel optimisation technique for optimal sizing of hybrid power generation systems (HPGSs). In power system, size optimisation of an HPGS is a complex optimisation problem which needs a superior optimisation technique to be effectively solved. In this study, a photovoltaic–diesel (PV/diesel) HPGS is designed to supply the electrical load of an off‐grid remote area. In such system, size optimisation is defined by the determination of the size of the diesel generator and the PV surface area to have a cost‐effective and reliable HPGS. In this study, a Levy flight‐based particle swarm optimisation (PSO levy ) is proposed for solving the sizing problem. In PSO levy , the velocity term of the original PSO is replaced by a Levy flight term to promote the population diversity. Simulation results indicate that PSO levy produces comparative results in comparison with the other PSO variants.