Advanced Pitch Angle Control Based on Fuzzy Logic for Variable-Speed Wind Turbine Systems

Van, Tan Luong; Nguyễn, Thanh Hải; Lee, Dong-Choon

doi:10.1109/tec.2014.2379293

Cited by 204 publications

(144 citation statements)

References 30 publications

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“…Among the renewable energy sources, wind energy takes a vital role in decreasing foreign dependence on energy, improving energy reliability, and solving some of the environmental problems. As such, the use of this component of renewable energy is rapidly increasing as the years pass by [4][5][6][7][8][9]. Di erent types of electrical generators used with wind turbines have some advantages and disadvantages over one another.…”

Section: Introductionmentioning

confidence: 99%

Optimum Pole Arc Offset in Permanent Magnet Synchronous Generators for Obtaining Least Voltage Harmonics

Dalcalı

Akbaba

2017

Scientia Iranica

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Abstract. In this study, the e ect of parametric variation of pole arc o set distance on the performance of a Permanent-Magnet Synchronous Generator (PMSG) used in wind energy applications has been investigated. Fourier analyses of the voltage wave-shapes that are obtained by the parametric variation of the pole arc o set value have been made. The THD is determined for each voltage wave-shape. As a result of optimization study, the e ciency and output power have been kept approximately constant. The THD of the output voltage has decreased.

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Section: Introductionmentioning

confidence: 99%

Optimum Pole Arc Offset in Permanent Magnet Synchronous Generators for Obtaining Least Voltage Harmonics

Dalcalı

Akbaba

2017

Scientia Iranica

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“…The pitch angle is mostly preferred for the full-load region to limit the aerodynamic torque as suggested in the previous literature [3]. Several methods have been implemented by researchers in the past.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System

Tiwari¹,

Babu²

2017

IJISA

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Abstract-This paper proposes an advanced pitch angle control strategy based on neural network (NN) for variable speed wind turbine. The proposed methodology uses Radial Basis Function Network (RBFN) and Feedforward based Back propagation network (BPN) algorithm to generate pitch angle. The performance of the proposed control technique is analyzed by comparing the results with Fuzzy Logic Control (FLC) and Proportional -Integral (PI) control techniques. The control techniques implemented is able to compensate the nonlinear characteristic of wind speed. The wind turbine is smoothly controlled to maintain the generator power and the mechanical torque to the rated value without any fluctuation during rapid variation in wind speed. The effectiveness of the proposed control strategy is verified using MATLAB/Simulink for 2-MW permanent magnet synchronous generator (PMSG) based wind energy conversion system.

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“…To be more precise, various types of control strategies are introduced to control and maximize power in this area. In [5], a fuzzy controller is designed to convert wind into optimal electrical energy. Demonstrating the stability of the system is demanding in this method due to the nonlinearity of the process.…”

Section: Introductionmentioning

confidence: 99%

Pitch angle control of wind turbine systems in cold weather conditions using $$\mu$$ μ robust controller

Pourseif

Afzalian

2017

Int J Energy Environ Eng

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Wind turbine is a complex nonlinear system that the exact model of this system is not available, so it can be represented as an uncertain system. Thus, the control of this system is an important topic. Most of methods that design controllers for wind turbines consider these systems in suitable weather condition. While many turbines work in cold weather condition, in this paper, wind turbine is considered in cold weather, and in ice on turbine blades are considered as model uncertainties. A robust controller is designed for the wind turbine, in order to control the pitch angle. Performance of the proposed controller is evaluated in a comparison study.

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Advanced Pitch Angle Control Based on Fuzzy Logic for Variable-Speed Wind Turbine Systems

Cited by 204 publications

References 30 publications

Optimum Pole Arc Offset in Permanent Magnet Synchronous Generators for Obtaining Least Voltage Harmonics

Optimum Pole Arc Offset in Permanent Magnet Synchronous Generators for Obtaining Least Voltage Harmonics

Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System

Pitch angle control of wind turbine systems in cold weather conditions using $$\mu$$ μ robust controller

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