Intelligent Control of Wind Energy Conversion Systems

Aïtouche, Abdel; Kamal, Elkhatib

doi:10.5772/17316

Cited by 2 publications

(3 citation statements)

References 47 publications

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“…For convincing the streamlined energy gotten thru the breeze turbine at the over the pinnacle breeze tempo locales, unique pitch section oversee systems were endorsed. The assessing key (PI) or relative-primary subordinate (PID) basically primarily based completely pitch element controllers were usually carried out for the energy rule [1], [12]- [15]. The anticipation of this device is that the manipulate execution is weakened at the same time as the taking walks focuses are modified because the controller association relies upon the turbine version it's far linearized at the strolling fixations through a hint signal assessment.…”

Section: Adventmentioning

confidence: 99%

“…The impact of the gleam overflowing at the easy weight is in like way explored. The speedy (Fatigue, Aerodynamics, frameworks, and Turbulence) code [12] that is coordinate for rehashing threebladed breeze turbines is carried out in the preoccupation. in this paper we're enhancing the oversee approach for converters in the DFIG based totally genuinely virtually breeze energy contraption with the purpose that the want of IPC may be gotten out.…”

Section: Mitigation Of Flickering In Dfig Based Windmentioning

confidence: 99%

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Mitigation of Flickering in DFIG Based Wind Turbines using Individual Pitch Control

2019

IJITEE

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due to the breeze beat boom, wind shear and tower shadow affects, community related breeze generators are the wellsprings of power modifications which additionally can also supply shimmer over the span of regular development. This paper proposes a model of a MW-set up variable-pace wind turbine with a doubly continued confirmation generator to research the blaze transmission and equalization problems. To facilitate the flashes we were the usage of a man or female make commitments manage contraption the earlier days. on this paper, a moved pitch territory control method relying on the smooth cause is proposed for the variable-rhythm wind turbine systems, in which the generator pace slip-up and exchange speed blunder are utilized as manage enter elements for the cushy cause controller (FLC). The pitch vicinity reference is made through manner of the use of the FLC, that could capture up at the nonlinear regular for the pitch element to the breeze pace. This paper offers head alternate of wind energy, wind turbine linearization and dynamic displaying are settled. The feathery reason controller is carried out for trade draining edge of wind turbine and customary energy might be collect. The square represent of proposed pitch oversee which consolidates pitch controller, actuator version and turbine linearized displayed with the nice valuable asset of the usage of Matlab/Simulink programming.

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Section: Adventmentioning

confidence: 99%

Section: Mitigation Of Flickering In Dfig Based Windmentioning

confidence: 99%

Mitigation of Flickering in DFIG Based Wind Turbines using Individual Pitch Control

2019

IJITEE

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“…The maximum power extraction algorithms researched so far can be classified into three main control methods, namely tip speed ratio (TSR) control, power signal feedback (PSF) control and hill-climb search (HCS) control [2]. The TSR control method regulates the rotational speed of the generator in order to maintain the TSR to an optimum value at which power extracted is maximum.…”

Section: Maximum Power Point Tracking Systems Fig 31 Maximum Power Pmentioning

confidence: 99%

MPPT using Pitch Angle with Various Control Algorithms in Wind Energy Conversion System

Arul¹,

Karthikeyan²,

Kumarappan³

et al. 2013

IJCA

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This paper discusses the performance of various intelligent control schemes in extracting maximum wind power using doubly fed induction generator (DFIG). Intelligent control scheme such as fuzzy, neuro-fuzzy, and genetic algorithm based fuzzy controllers are applied for pitch control of DFIG based wind generation system. Wind generation system with eight numbers of identical 1.5MW wind generators with reactive and real load is considered. Performance of various intelligent controllers is compared with PID controllers. Simulation results show that the performance of intelligent controllers better than PID controllers and in particular GA based fuzzy controller is better than other intelligent controllers.

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Intelligent Control of Wind Energy Conversion Systems

Cited by 2 publications

References 47 publications

Mitigation of Flickering in DFIG Based Wind Turbines using Individual Pitch Control

Mitigation of Flickering in DFIG Based Wind Turbines using Individual Pitch Control

MPPT using Pitch Angle with Various Control Algorithms in Wind Energy Conversion System

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