Selcuk University, Engineering Faculty, Department of Electrical-Electronics Engineering, 42031, Konya, Turkey
The sizing of a hybrid power system plays a crucial role in efficient functionality of the overall energy system. For optimal sizing of a photovoltaic (PV)-wind hybrid power system, several factors such as system component costs, environmental conditions and electric load distribution have to be taken into consideration. A sizing method employing genetic algorithms (GA) is considered to optimize configurations of a PV-wind hybrid energy system with grid connection. GA optimization aims to determine number of PV modules and wind turbines to bring generated and demand power as close to each other as possible using yearly meteorological data. Using the power of GAs in finding global optimal solutions, the combination of the lowest cost and lowest carbon emissions to obtain the least dependency to the utility grid was chosen. The proposed method has been applied for four locations in Turkey to prove the validity of the method.
Hybrid system, sizing, genetic algorithms, photovoltaic power, wind power
