Power Optimization and Control in Wind Energy Conversion Systems Using Extremum Seeking

Ghaffari, Azad; Krstić, Miroslav; Seshagiri, Sridhar

doi:10.1109/tcst.2014.2303112

Cited by 121 publications

(34 citation statements)

References 35 publications

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“…The third region consists of wind velocities which are sufficient for wind turbine to reach rated power, hence power output is limited by wind turbine. The fourth region contains the velocities of wind which are much stronger and may cause damage to wind turbine, hence in this region, the turbine is shut down (Ghaffari et al, 2014). (Ghaffari et al, 2014) Now in this section we present the extremum seeking technique for WECS, which is a real time optimization techniques and unlike conventional MPPT algorithms it does not require system modeling and identification as it is a non-model based optimization technique.…”

Section: Wind Energy Conversion Systemmentioning

confidence: 99%

“…At this point the rotor electrical speed and synchronous speed 0 will be nearly equal. This indicates that if we change the stator electrical frequency, the electrical rotor speed will change, which intern will change the turbine speed (Ghaffari et al, 2014). Thus by varying 0 through MC, we may change turbine speed to track MPPT.…”

Section: Wind Energy Conversion Systemmentioning

confidence: 99%

“…In order to track maximum power we change stator electrical frequency 0 . The amount and direction of change is estimated by the ES feedback loop (Komatsu et al, 2001;Kumar et al, 2009;Pan et al, 2008;Ghaffari et al, 2014) (Eqs. 14-16).…”

Section: Wind Energy Conversion Systemmentioning

confidence: 99%

See 2 more Smart Citations

Stability and response of extremum seeking feedback scheme for squirrel cage induction generator based WECS

Gupta¹,

Singh

2017

Int. j. adv. appl. sci

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In this paper, we have presented maximum power point tracking (MPPT) algorithm for variable speed fixed pitch (VSFP) wind power plant connected to grid. The wind power plant is based on squirrel cage induction generator (SCIG) fed by a matrix converter (MC). Matrix converter is a power electronic interface between generator and grid, which facilitates the mechanism of MPPT algorithm. For maximum power point tracking, we have used extremum seeking scheme, which, unlike other MPPT techniques is a nonmodel based MPPT algorithm. In this paper sinusoidal signal has been used as a search disturbance signal. The performance of the ES algorithm has been checked for different wind velocities. In the latter section of this paper, we have done stability analysis of extremum seeking for wind energy conversion system (WECS) using single perturbation method.

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Section: Wind Energy Conversion Systemmentioning

confidence: 99%

Section: Wind Energy Conversion Systemmentioning

confidence: 99%

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Stability and response of extremum seeking feedback scheme for squirrel cage induction generator based WECS

Gupta¹,

Singh

2017

Int. j. adv. appl. sci

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“…Ghaffari and Krstic et al [10] used the same method with first order filters. Xiao et al [11] presented the experimental works to the same model that used by Creaby (CART3 facility).…”

Section: Introductionmentioning

confidence: 99%

Power Maximization and Control of Variable-Speed Wind Turbine System Using Extremum Seeking

Rafaat¹,

Hussein²

2018

JPEE

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Maximizing the power capture is an important issue to the turbines that are installed in low wind speed area. In this paper, we focused on the modeling and control of variable speed wind turbine that is composed of two-mass drive train, a Squirrel Cage Induction Generator (SCIG), and voltage source converter control by Space Vector Pulse Width Modulation (SPVWM). To achieve Maximum Power Point Tracking (MPPT), the reference speed to the generator is searched via Extremum Seeking Control (ESC). ESC was designed for wind turbine region II operation based on dither-modulation scheme. ESC is a model-free method that has the ability to increase the captured power in real time under turbulent wind without any requirement for wind measurements. The controller is designed in two loops. In the outer loop, ESC is used to set a desired reference speed to PI controller to regulate the speed of the generator and extract the maximum electrical power. The inner control loop is based on Indirect Field Orientation Control (IFOC) to decouple the currents. Finally, Particle Swarm Optimization (PSO) is used to obtain the optimal PI parameters. Simulation and control of the system have been accomplished using MATLAB/Simulink 2014.

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“…Among the recent new works in this area, it is preferred to emphasize not only on an optimization-based approach to reduce extreme structural loads during rapid and emergency shutdown [9], but also on predicting the maximum generation capacity to obtain power control [10] and extreme seeking to perform maximum point tracking [11] as well dynamic responses of land-based and floating wind turbines under pitch system faults [12].…”

Section: Introductionmentioning

confidence: 99%

New approach for optimizing energy by adjusting the trade-off coefficient in wind turbines

Jamshidi

Talebnezhad

2013

Energ Sustain Soc

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Power Optimization and Control in Wind Energy Conversion Systems Using Extremum Seeking

Cited by 121 publications

References 35 publications

Stability and response of extremum seeking feedback scheme for squirrel cage induction generator based WECS

Stability and response of extremum seeking feedback scheme for squirrel cage induction generator based WECS

Power Maximization and Control of Variable-Speed Wind Turbine System Using Extremum Seeking

New approach for optimizing energy by adjusting the trade-off coefficient in wind turbines

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