Proper selection of Doubly Fed Induction Generator Wind Turbine Using Several Optimization Techniques

Abstract

Renewable energy resources are future sponsors for electrical power generation all over the world. Wind energy is one of the most common used resources for electrical power generation. One of the mostly used wind turbine technology is Doubly Fed Induction Generator (DFIG) based wind turbine. In this paper, Electrical energy generated from the DFIG wind turbine is maximized for any linearized estimated wind speed profile. Different optimization techniques (Harmony Search algorithm (HSA), Invasive Weed Optimization (IWO) and Interior Point Nonlinear programming) are used to select optimal wind turbine speed rating to maximize electrical generated energy. Mathematical Curve fitting for the DFIG wind turbine's wind speed-output power characteristics curve is carried out. The curve fitting helps the classical method to deal with the problem without needing to build a complex mathematical model. Two case studies with two different linearized estimated wind speed profiles are made for examination of optimal wind turbine speed rating selection. After completion of optimization process, Results for different optimization techniques are compared. IWO gives the best optimal wind turbine speed rating with maximum generated energy for the wind turbine.