Abstract
Shape optimization of turbine blade to maximize the output power usually changes the power factor due to compensate Repower in a wind turbine. This article presents a multidisciplinary optimization technique to maximize the output power in Doubly Fed Induction Generator (DFIG) wind turbine. The most common parameters when operating the turbine, namely, active power, reactive power and power factor, are considered as the problem constraints and the pitch angle grid side variable frequency converter of the turbine blades are optimized to maximize the output power. Numerical simulation has been illustrated to present the performance of the proposed design approach.
Highlights
Wind Turbine machines are rapidly becoming an economically viable source of renewable energy
In [10,11,12], different multi-objective particle swarm optimization (MOPSO) is proposed where MOPSO considers multi-objective simultaneously rather than a PSO but the output of MOPSO consists of a group of non-dominated instead of PSO that it has only one optimization solution, but these papers focus on active and reactive power of Doubly Fed Induction Generator (DFIG) and grid, on the other hand, Kusiak and Zheng [13] introduced an evolutionary computation approach for optimization of power factor and power output of wind turbines
This article contributes a multidisciplinary optimization for doubly Fed Induction Generator (DFIG) wind turbine subjected to active power, reactive power and power factor mutually, through pitch angle and grid side variable frequency converter
Summary
Wind Turbine machines are rapidly becoming an economically viable source of renewable energy. Boukhezzar et al [5] proposed a non-linear approach to control a variablespeed turbine to maximize the power of turbine considering the generator torque. In [10,11,12], different multi-objective particle swarm optimization (MOPSO) is proposed where MOPSO considers multi-objective simultaneously rather than a PSO but the output of MOPSO consists of a group of non-dominated instead of PSO that it has only one optimization solution, but these papers focus on active and reactive power of DFIG and grid, on the other hand, Kusiak and Zheng [13] introduced an evolutionary computation approach for optimization of power factor and power output of wind turbines. This article contributes a multidisciplinary optimization for doubly Fed Induction Generator (DFIG) wind turbine subjected to active power, reactive power and power factor mutually, through pitch angle and grid side variable frequency converter. Numerical simulation has been illustrated to present the performance of the proposed design approach
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