Fuzzy Logic Control of Wind Turbine System Connection to PM Synchronous Generator for Maximum Power Point Tracking

Sefidgar, Hadi; Gholamian, S. Asghar

doi:10.5815/ijisa.2014.07.04

Cited by 19 publications

(8 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second input is the change in error, CE which is the derivative (dE/dt) of error. [11] where, Vdc_ref and Vdc_mea are the reference and measured voltage at k th sampling time.…”

Section: Fuzzy Controlmentioning

confidence: 99%

Study of Modeling of Hybrid Energy System for Optimum Power Extraction from the System to the Grid

Srivastava¹,

Dash²

2021

IJOSCIENCE

View full text Add to dashboard Cite

With the growing demand of electricity, deployment of micro grid is becoming an attractive option to meet the energy demands. At present, large-scale wind/solar hybrid system is of great potential for development. The large-scale wind/solar hybrid system is of higher reliability compared with wind power generation alone and solar power generation alone However, a grid-connected micro grid suffers from critical stability problems during a power grid failure. For stable operation of the micro grid during a grid failure. In this paper, the transition stability of the micro grid is examined during a power failure

show abstract

“…The second input is the change in error, CE which is the derivative (dE/dt) of error. [11] where, Vdc_ref and Vdc_mea are the reference and measured voltage at k th sampling time.…”

Section: Fuzzy Controlmentioning

confidence: 99%

Study of Modeling of Hybrid Energy System for Optimum Power Extraction from the System to the Grid

Srivastava¹,

Dash²

2021

IJOSCIENCE

View full text Add to dashboard Cite

show abstract

“…To generate the reference signals, this controller uses if-then rules [99], and this will be subjected to fuzzification. Further studies are made, and an SMC strategy [100] is brought into this for more advantage compared with prior methods.…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

Review on control techniques and methodologies for maximum power extraction from wind energy systems

Kumar

Saravanan

Padmanaban

et al. 2018

IET Renewable Power Generation

View full text Add to dashboard Cite

This review study focuses on various methods and technologies used in past and present for obtaining maximum output power from a wind energy conversion system. There are plenty of solution for maximum power point (MPP), but the problem lies in the effective choice made among them and it needs the expert knowledge on every technique for picking up the best MPP method as every method on its own has some advantages and disadvantages. A comparison has been made among various MPP methods in terms of convergence time, efficiency, training, complexity and wind measurement. Here, different MPP tracking (MPPT) algorithms are classified based on wind speed measurement (WSR) and without WSR models. In this study, from the literature, a novel maximum electrical power tracking (MEPT) and maximum mechanical power tracking (MMPT) methods are compared with state-of-the-art MPPT algorithms. On basis of the results obtained from the literature available, the MEPT algorithm has fast convergence rate of 15 ms; on the other hand, optimal relation-based method is having large convergence rate of 364 ms and less efficient. A case study has been considered for performance validation, and MEPT and MMPT are having a good response for dynamic variation in wind speed.

show abstract

“…The impact of wind has made many researchers to find an optimum solution for integrating into the grid.The mechanical power w P [20,28,30] generated from the wind turbine is given by the expression, 32 0.5 ,…”

Section: Wind Energy Conversion System Modeling and Controller Dementioning

confidence: 99%

Power Quality Improvement for Wind Energy Conversion System using Composite Observer Controller with Fuzzy Logic

M.B¹,

Saravanan.²

2018

IJISA

View full text Add to dashboard Cite

In this paper, power quality at the distribution system has been examined by introducing an observer based control technique with fuzzy logic controller for wind energy conversion systems with constant wind velocity, for combination of linear, nonlinear loads and with load removal in one of the phases. The power quality improvement, including voltage regulation and reactive power management on the distribution side is achieved and the device used here is a distributed static compensator (DSTATCOM) a voltage source converter(VSC) based power electronic device. The performance is found to be satisfactory with the implementation of DSTATCOM for better voltage regulation with self-sustained DC link voltage at VSC of DSTATCOM. The fuzzy logic controller is used to generate gate pulses to VSC for power quality improvement and is simulated in MATLAB environment and results are studied. IndexTerms-Distributed static compensator (DSTATCOM), fuzzy logic controller, induction generator, nonlinear load, power quality, voltage control, voltage source controller (VSC).

show abstract

Fuzzy Logic Control of Wind Turbine System Connection to PM Synchronous Generator for Maximum Power Point Tracking

Cited by 19 publications

References 14 publications

Study of Modeling of Hybrid Energy System for Optimum Power Extraction from the System to the Grid

Study of Modeling of Hybrid Energy System for Optimum Power Extraction from the System to the Grid

Review on control techniques and methodologies for maximum power extraction from wind energy systems

Power Quality Improvement for Wind Energy Conversion System using Composite Observer Controller with Fuzzy Logic

Contact Info

Product

Resources

About