Control strategies of grid interfaced wind energy conversion system: An overview

Jain, Bhavna; Jain, Shailendra; Nema, Rajesh Kumar

doi:10.1016/j.rser.2015.03.063

Cited by 115 publications

(72 citation statements)

References 61 publications

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“…Generator-side converter is to control the PMSG as response of wind turbine MPPT strategy that to maximize active power. Grid-side converter is to maintain constant grid voltage by adjusting zero reactive power, which is equivalent to a regulated power supply subsystem according to the functional analysis as shown in Figure 1 [19].…”

Section: Pmsg Control Logicmentioning

confidence: 99%

“…Figure 2 [19]. WT optimal rotational speed ωopt is determined by optimal tip-speed-ratio and the wind speed V as shown in Equation (14):…”

Section: Pmsg Control Logicmentioning

confidence: 99%

“…This method Current Vector/Trajectory Pattern Recognition (CVTPR) is also based on current's park vector transformation as shown in Equations (19) and (20). The vector's angle is calculated by:…”

Section: Current Vector/trajectory Pattern Recognitionmentioning

confidence: 99%

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A New Fault Diagnosis Algorithm for PMSG Wind Turbine Power Converters under Variable Wind Speed Conditions

et al. 2016

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Although Permanent Magnet Synchronous Generator (PMSG) wind turbines (WTs) mitigate gearbox impacts, they requires high reliability of generators and converters. Statistical analysis shows that the failure rate of direct-drive PMSG wind turbines' generators and inverters are high. Intelligent fault diagnosis algorithms to detect inverters faults is a premise for the condition monitoring system aimed at improving wind turbines' reliability and availability. The influences of random wind speed and diversified control strategies lead to challenges for developing intelligent fault diagnosis algorithms for converters. This paper studies open-circuit fault features of wind turbine converters in variable wind speed situations through systematic simulation and experiment. A new fault diagnosis algorithm named Wind Speed Based Normalized Current Trajectory is proposed and used to accurately detect and locate faulted IGBT in the circuit arms. It is compared to direct current monitoring and current vector trajectory pattern approaches. The results show that the proposed method has advantages in the accuracy of fault diagnosis and has superior anti-noise capability in variable wind speed situations. The impact of the control strategy is also identified. Experimental results demonstrate its applicability on practical WT condition monitoring system which is used to improve wind turbine reliability and reduce their maintenance cost.

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Section: Pmsg Control Logicmentioning

confidence: 99%

“…Figure 2 [19]. WT optimal rotational speed ωopt is determined by optimal tip-speed-ratio and the wind speed V as shown in Equation (14):…”

Section: Pmsg Control Logicmentioning

confidence: 99%

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A New Fault Diagnosis Algorithm for PMSG Wind Turbine Power Converters under Variable Wind Speed Conditions

et al. 2016

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“…The main objective of this technique is to separate the rotor currents into two components, one controls the torque and the other control the flux independently in order to emulate the simple regulation of a separately excited DC machine . Vector control based on conventional PI controllers are adopted for a long time, but this type of controllers remain limited and less effective for nonlinear applications . In the recent past, several works show that the fuzzy logic controllers (FLC) able to replace the conventional ones.…”

Section: Introductionmentioning

confidence: 99%

Power control of variable speed wind turbine based on doubly fed induction generator using indirect field‐oriented control with fuzzy logic controllers for performance optimization

Zamzoum

Mourabit

Errouha

et al. 2018

Energy Science & Engineering

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The main objective of this study is to improve the energy quality extracted by variable speed wind turbine based on doubly fed induction generator. First, the dynamic modeling of different parts of the system is presented. The electrical machine is modeled in PARK reference frame. Thereafter, the control technique is detailed. Indirect field‐oriented control with fuzzy logic controllers (FLC) is used to control the rotor currents and consequently the real and reactive powers of the stator generator. Then, the design of FLC is detailed by tuning its most significant parameters, which are scaling factor rules base and membership functions. Finally, a simulation using the MATLAB/SIMULINK environment is carried out to prove the validation of the control strategy using a 2 MW wind turbine. The results show a satisfactory performance in terms of rapidity, stability, and precision under variable wind speed conditions.

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“…Suitable forecasting models are an essential component of the assessment of proposed wind projects and the subsequent control and integration into grid-tied systems. Forecasting models and control technologies have received significant attention, evidenced by recent comprehensive reviews; Foley et al [3] identify the significant advances in forecasting methods, encompassing statistical and physical models over varying time horizons and Mahela and Shaik [4] and Jain et al [5] provide an equally detailed and enlightened review of the control strategies and prediction methods used to integrate wind into transmission and distribution networks. The necessity to accurately forecast wind speed is well documented and is generally based upon the Weibull probability density function, which is estimated from time series wind data typically obtained from a meteorological tower over extended testing periods [6].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Variable Wind Shear Coefficients on Risk Reduction of Wind Energy Projects

Corscadden

Thomson

Yoonesi

et al. 2016

International Scholarly Research Notices

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Estimation of wind speed at proposed hub heights is typically achieved using a wind shear exponent or wind shear coefficient (WSC), variation in wind speed as a function of height. The WSC is subject to temporal variation at low and high frequencies, ranging from diurnal and seasonal variations to disturbance caused by weather patterns; however, in many cases, it is assumed that the WSC remains constant. This assumption creates significant error in resource assessment, increasing uncertainty in projects and potentially significantly impacting the ability to control gird connected wind generators. This paper contributes to the body of knowledge relating to the evaluation and assessment of wind speed, with particular emphasis on the development of techniques to improve the accuracy of estimated wind speed above measurement height. It presents an evaluation of the use of a variable wind shear coefficient methodology based on a distribution of wind shear coefficients which have been implemented in real time. The results indicate that a VWSC provides a more accurate estimate of wind at hub height, ranging from 41% to 4% reduction in root mean squared error (RMSE) between predicted and actual wind speeds when using a variable wind shear coefficient at heights ranging from 33% to 100% above the highest actual wind measurement.

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Control strategies of grid interfaced wind energy conversion system: An overview

Cited by 115 publications

References 61 publications

A New Fault Diagnosis Algorithm for PMSG Wind Turbine Power Converters under Variable Wind Speed Conditions

A New Fault Diagnosis Algorithm for PMSG Wind Turbine Power Converters under Variable Wind Speed Conditions

Power control of variable speed wind turbine based on doubly fed induction generator using indirect field‐oriented control with fuzzy logic controllers for performance optimization

The Impact of Variable Wind Shear Coefficients on Risk Reduction of Wind Energy Projects

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