Title :
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
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;
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/PowerEng.2013.6635594
