Wind Energy Conversion System from Electrical Perspective—A Survey

Kim, Hyong Sik; Lu, Dylan Dah-Chuan

doi:10.4236/sgre.2010.13017

Cited by 27 publications

(6 citation statements)

References 63 publications

(134 reference statements)

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“…Wind turbines convert mechanical energy obtained from the wind into the electrical energy (Kim and Lu, 2010). The wind turbines do not emit hazardous gases into the environment during the stage of power generation (Mirmousavi, 2015).…”

Section: Introductionmentioning

confidence: 99%

A Novel Model Predictive-Fuzzy Logic Hybrid Controller Design for D-STATCOM in Wind Energy Distribution Systems

2018

Global NEST Journal

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Wind energy is a resource that does not require any fuel or feedstock to be treated, refined or transported. It does not produce air pollution and hazardous waste. Because of these, wind energy, one of the major renewable energy sources, has been widely used in recent years. In this work, a three-phase distribution static synchronous compensator (D-STATCOM) is demonstrated for power quality enhancement in wind energy distribution systems. A five-level cascaded inverter is used to implement the D-STATCOM. D-STATCOM is controlled to compensate the reactive power, balances the load and eliminate harmonics. A novel control algorithm is based on the indirect current control system with synchronous reference frame theory for generating the gating pulses of Voltage Source Inverter (VSI). This proposed control system has one model predictive controller and two modified fuzzy logic controllers. The performance of the three-phase D-STATCOM is validated for power quality enhancement with different loads through software implementation using Matlab/Simulink environment. The effectiveness of the proposed approach is verified through simulation studies.

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Section: Introductionmentioning

confidence: 99%

A Novel Model Predictive-Fuzzy Logic Hybrid Controller Design for D-STATCOM in Wind Energy Distribution Systems

2018

Global NEST Journal

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“…There are many different types of generators used today in WECS [3] The most common types are the SCIG [4] and the DFIG [5][6]. In recent years, PMSG are gaining popularity in WECS applications due to their higher relaliability and efficiency [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Multivariable control of a grid-connected wind energy conversion system with power quality enhancement

et al. 2016

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This paper proposes the design of a multivariable robust control strategy for a variable-speed WECS based on a SCIG. Optimal speed control of the SCIG is achieved by a conventional PI controller combined with a MPPT strategy. DTC-SVM technique based on a simple Clarke transformation is used to control the generator-side three-level converter in the variable speed WECS. The flow of real and reactive power between the inverter and the grid is controlled via the grid real and reactive currents and the DC link voltage using multivariable H ∞ control. The overall WECS and control scheme are developed in Matlab/Simulink and the performance of the proposed control strategy is evaluated via a set of simulation scenarios replicating various operating conditions of the WECS such as variable wind speed and asymmetric single grid faults. The power quality of the WECS system under H ∞ control control approach is assessed and the results show a significant improvement in the total harmonic distorsion as compared to that achieved with a classical PI control.

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“…A great part of the scientific research on renewable energy resources focuses on wind power, that is, the conversion of the energy coming from flowing air into electricity which is performed through the utilization of air turbines [ 2 – 5 ]. Wind power has numerous advantages when compared against fossil fuels, because it is an abundant, broadly distributed, and environmentally clean source of energy.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Regulator Design for Wind Turbine Yaw Control

Theodoropoulos

Kandris

Σαμαράκου

et al. 2014

The Scientific World Journal

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This paper proposes the development of an advanced fuzzy logic controller which aims to perform intelligent automatic control of the yaw movement of wind turbines. The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve maximum performance efficacy. In this way, the proposed yaw control system is remarkably adaptive to the existing conditions. In this way, the wind turbine is enabled to retain its power output close to its nominal value and at the same time preserve its yaw system from pointless movement. Thorough simulation tests evaluate the proposed system effectiveness.

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Wind Energy Conversion System from Electrical Perspective—A Survey

Cited by 27 publications

References 63 publications

A Novel Model Predictive-Fuzzy Logic Hybrid Controller Design for D-STATCOM in Wind Energy Distribution Systems

A Novel Model Predictive-Fuzzy Logic Hybrid Controller Design for D-STATCOM in Wind Energy Distribution Systems

Multivariable control of a grid-connected wind energy conversion system with power quality enhancement

Fuzzy Regulator Design for Wind Turbine Yaw Control

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