Optimal sizing study of hybrid wind/PV/diesel power generation unit using genetic algorithm

Author

Tegani, I. ; Aboubou, A. ; Becherif, M. ; Ayad, M.Y. ; Kraa, O. ; Bahri, M. ; Akhrif, O.

Author_Institution

MSE Lab., Mohamed Khider Biskra Univ., Biskra, Algeria

fYear

2013

Firstpage

134

Lastpage

140

Abstract

A methodology of sizing optimization of a stand-alone hybrid wind/PV/diesel energy system with battery storage is addressed in this article. The aim is to find the optimal number of units guaranteeing that the life time round total system cost/emission is minimized subject to the constraint that the load energy necessities are completely covered. The system is optimized using genetic algorithms and the formulation of the problem is detailed. The optimization focusses on the total system cost and the reduction of Co₂ emission for the given hybrid design. Finally, an optimal configuration is obtained with a lifetime of 20 years. The optimized parameters are also given.

Keywords

air pollution; diesel-electric power stations; genetic algorithms; photovoltaic power systems; wind power plants; battery storage; carbon dioxide emission; energy necessities; genetic algorithm; hybrid wind-PV-diesel power generation unit; life time round total system; optimal configuration; optimal sizing study; Batteries; Generators; Genetic algorithms; Inverters; Optimization; Sociology; Wind turbines; Genetic algorithm; diesel; emission; hybrid; optimization; photvoltaic; sizing; stand-alone; total system cost; wind;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on

Conference_Location

Istanbul

ISSN

2155-5516

Type

conf

DOI

10.1109/PowerEng.2013.6635594

Filename

6635594