Stand-alone self-excited induction generator driven by a wind turbine

Mhamdi, Taoufik; Abdelhamid, Barhoumi; Sbita, Lassaâd

doi:10.1016/j.aej.2017.01.009

Cited by 20 publications

(9 citation statements)

References 10 publications

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“…SHAWT's mathematical model is developed by three blocks, the rot the mechanical system, and the PMSG. The torque of the rotor is determined by Equation (4) [23].…”

Section: Mathematical Modelmentioning

confidence: 99%

See 1 more Smart Citation

Pitch Angle Optimization for Small Wind Turbines Based on a Hierarchical Fuzzy-PID Controller and Anticipated Wind Speed Measurement

et al. 2021

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Wind energy is an alternative to meet the growing energy demand and protect the environment; however, in places with limited wind resources, only the installation of small horizontal-axis wind turbines (SHAWTs) is profitable. At the height of these turbines, the wind is usually unstable with gusts and turbulence due to obstacles in its path such as buildings and trees. The pitch angle must be adaptable to guarantee nominal rotation speed, and it is commonly regulated with a proportional-integral-derivative (PID) feedback controller. This controller works well when the wind is stable, but not with drastic changes in wind speed. To correct this problem, this article introduces a PID controller with automatic adjustment of the gain values using a fuzzy logic controller (FLC). The PID gain adjustment allows an optimal response speed of the system for different wind conditions. The membership functions of the FLC are determined from a methodology that includes: The measurement of the wind speed at a calculated distance, a statistical analysis of the wind variability, and a dynamic analysis of the wind path. In this way, it is possible to anticipate the response of the actuator to the arrival of a gust of wind to the rotor. The algorithm is implemented in 14 kW SHAWTs where the difference in performance with a conventional controller is quantified. Satisfactory results were obtained, the electrical output increased by 7%, and the risk of rotor damage due to vibrations or mechanical fatigue was reduced by 20%.

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“…SHAWT's mathematical model is developed by three blocks, the rot the mechanical system, and the PMSG. The torque of the rotor is determined by Equation (4) [23].…”

Section: Mathematical Modelmentioning

confidence: 99%

“…A PMSG is modeled with two axes (d) and (q), out of phase by 90 electrical degrees in a synchronous rotation. The d-q stator voltages are given in (12) and (13) [23].…”

Section: Mathematical Modelmentioning

confidence: 99%

Pitch Angle Optimization for Small Wind Turbines Based on a Hierarchical Fuzzy-PID Controller and Anticipated Wind Speed Measurement

et al. 2021

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“…Ω is the rotation frequency in rad/sec, n is the speed of rotation in rpm and R is the radius of the rotor. Once the C p has been calculated, it is possible to determine the torque of the rotor T rotor with the following equation: [33,34].…”

Section: Mathematical Modelmentioning

confidence: 99%

Pitch Angle Optimization by Intelligent Adjusting the Gains of a PI Controller for Small Wind Turbines in Areas with Drastic Wind Speed Changes

et al. 2019

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The population growth demands a greater generation of energy, an alternative is the use of small wind turbines, however, obtaining maximum wind power becomes the main challenge when there are drastic changes in wind speed. The angle of the blades rotates around its longitudinal axis to control the effect of the wind on the rotation of the turbine, a proportional-integral controller (PI) for this angle achieves stability and precision in a stable state but is not functional with severe alterations in wind speed, a different response time is necessary in both cases. This article proposes a novel pitch angle controller based on auto-tuning of PI gains, for which it uses a teaching–learning based optimization (TLBO) algorithm. The wind speed and the value of the magnitude of the change are used by the algorithm to determine the appropriate PI gains at different wind speeds, so it can adapt to any sudden change in wind speed. The effectiveness of the proposed method is verified by experimental results for a 14 KW permanent magnet synchronous generator (PMSG) wind turbine located at the Universidad Autónoma de Querétaro (UAQ), Mexico.

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“…Alok et al, (2016) presented a mathematical model using node admittance for six-phase induction generators for excitation capacitance by using a genetic algorithm [29]. Mhamdi Taoufik et al, (2017) developed a wind generator for rural electrification, and many experimental tests were performed to define parameters and convenient capacitor bank [30]. Khaled S Sakkoury et al, (2017) performed analysis, modeling, and simulation of wind-driven SEIGs under dynamic conditions [31].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Capacitance for Self-Excited Induction Generator in Sustaining Constant Air-Gap Voltage under Variable Speed and Load

Sharma

Kaur

2018

Energies

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The concept of a Self-Excited Induction Generator (SEIG) has introduced the concept of the placement of an induction machine for power generation in an isolated mode with external capacitance. The produced output voltage and generated frequency in an SEIG greatly depends on speed, load, and terminal capacitance. To maintain constant air-gap voltage against a varying speed and load, a corresponding supply of reactive power through capacitors is needed. The selection of the required capacitance while there is continuous variation of vital parameters needs a rigorous random-selection method. In this paper, an intelligent selection of suitable additional capacitance has been made by using the Fuzzy Logic Technique for a Three-Phase 5.0 HP SEIG. Additional capacitance in the range of 14.79-22.47 µF is compulsory under a varying load of 427−101 ohms, and additional capacitance in the range of 13.70-22.59 µF is essential for a varying speed of 1349 to 1672 RPM. With this promising result, we propose the implementation of this intelligent technique in place of analytical and standard methods for capacitance selection.

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Stand-alone self-excited induction generator driven by a wind turbine

Cited by 20 publications

References 10 publications

Pitch Angle Optimization for Small Wind Turbines Based on a Hierarchical Fuzzy-PID Controller and Anticipated Wind Speed Measurement

Pitch Angle Optimization for Small Wind Turbines Based on a Hierarchical Fuzzy-PID Controller and Anticipated Wind Speed Measurement

Pitch Angle Optimization by Intelligent Adjusting the Gains of a PI Controller for Small Wind Turbines in Areas with Drastic Wind Speed Changes

Assessment of Capacitance for Self-Excited Induction Generator in Sustaining Constant Air-Gap Voltage under Variable Speed and Load

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