An Improved Adaptive-Torque-Gain MPPT Control for Direct-Driven PMSG Wind Turbines Considering Wind Farm Turbulences

Zhang, Xiaolian; Huang, Can; Hao, Shuai; Chen, Fan; Zhai, Jingjing

doi:10.3390/en9110977

Cited by 29 publications

(18 citation statements)

References 37 publications

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“…The equivalent wind speed oscillations of wind turbine are produced by turbulence, wind shear and tower shadow. 21,22 So the oscillation frequencies of equivalent wind speed are distributed in below 0.1Hz, the 3p and the higher, such as 6p, 9p, 12p, etc. The rotational speed of MW class variable speed wind turbine is 5 to 25 revolutions per minute generally, 19,20 so the 3p is in 0.25 to 1.25 Hz.…”

Section: Bisecting Frequencies and Computational Burdenmentioning

confidence: 99%

A time frequency domain digital implementation of flickermeter using analytical mode decomposition

Tian

Zhu³

et al. 2019

Int Trans Electr Energ Syst

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Summary Flickers of wind farm should be assessed accurately since they become a limiting factor for integrating wind turbines into grid. Furthermore, since cyclical low‐frequency oscillation powers (CLFOPs) caused by wind turbines will lead to low‐frequency oscillation in the power system, CLFOP monitor and mitigation is wanted. A novel digital time‐frequency domain implementation of flickermeter using analytical mode decomposition (AMD) is proposed in this paper. The results of simulation and actual measurement show the proposed flickermeter can (1) meet design standard requirements of IEC 61000‐4‐15; (2) obtain the more accurate CLFOP monitor in time‐frequency domain compared with wavelet packet decomposition (WPD) and empirical mode decomposition (EMD); and (3) realize the CLFOP mitigation for reducing the probability of low‐frequency oscillation in power system through sending the power limitation instruction to the energy management system (EMS) of wind farm.

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Section: Bisecting Frequencies and Computational Burdenmentioning

confidence: 99%

A time frequency domain digital implementation of flickermeter using analytical mode decomposition

Tian

Zhu³

et al. 2019

Int Trans Electr Energ Syst

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“…This method harvest more power for higher wind speed as well as increase overall wind power. Zhang et al [46] proposed an improved adaptive torque gain (IATG) approach to determine the optimal gain coefficient to extract maximum power. This method overcome the drawback of ageing effect in decreased torque gain (DTG) and direction misleading problem with the adaptive torque gain (ATG) in rapidly changing wind speed.…”

Section: Other Intelligent Control Methodsmentioning

confidence: 99%

A Review of MPPT Algorithms Employedin Wind Energy Conversion Systems

Sachan

Gupta

Samuel

2017

JGE

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The depleting nature of fossil fuels and the environmental threats have resulted in the emergence of renewable energy sources (RESs) as alternative and accessible energy resources. Amongst various RESs, wind energy is one of the fastest growing distributed energy resources because of its zero-carbon emission and cost efficient generation. Although wind energy is plentiful, it is of intermittent nature, i.e., the wind speed is not constant throughout. So, the strategy followed is to harness maximum output power from this variable wind as when it is available, and various algorithms for maximum power operating point tracking (MPPT) have been proposed and implemented successfully. However, choosing an exact MPPT algorithm for a particular application requires a high degree of skill as each algorithm has its pros and cons. This paper presents a review of various MPPT algorithms suggested in the literature.

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“…For an electric power grid that has a high level of wind power penetration, variable-speed wind turbine generators (WTGs)-e.g., doubly-fed induction generator (DFIG)-based WTGs and full converter-based WTGs-perform a maximum power point tracking (MPPT) operation that extracts the maximum energy from the wind at different wind speeds [2,3]. However, this operation adversely impacts frequency stability [4,5].…”

Section: Introductionmentioning

confidence: 99%

Short-Term Frequency Response of a DFIG-Based Wind Turbine Generator for Rapid Frequency Stabilization

et al. 2017

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This paper proposes a short-term frequency-response scheme of a doubly-fed induction generator (DFIG)-based wind turbine generator (WTG) for improving rotor speed recovery and frequency nadir. In the energy-releasing period, to improve the frequency nadir and rotor speed convergence by releasing a large amount of kinetic energy stored in the rotating masses in a DFIG-based WTG, the power reference is increased up to the torque limit referred to the power and reduces along with it for a predefined period which is determined based on the occurrence time of the frequency nadir in a power grid. Then, the reference decreases so that the rotor speed is forced to be converged to the preset value in the stable operating region of the rotor speed. In the energy-absorbing period, to quickly recover the rotor speed, the reference smoothly decreases with the rotor speed and time during a predefined period until it intersects with the maximum power point tracking curve. The simulation results demonstrate that the proposed scheme successfully achieves rapid frequency stabilization with the improved frequency nadir under various wind conditions based on the IEEE 14-bus system.

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An Improved Adaptive-Torque-Gain MPPT Control for Direct-Driven PMSG Wind Turbines Considering Wind Farm Turbulences

Cited by 29 publications

References 37 publications

A time frequency domain digital implementation of flickermeter using analytical mode decomposition

A time frequency domain digital implementation of flickermeter using analytical mode decomposition

A Review of MPPT Algorithms Employedin Wind Energy Conversion Systems

Short-Term Frequency Response of a DFIG-Based Wind Turbine Generator for Rapid Frequency Stabilization

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