A complete modeling and simulation of DFIG based wind turbine system using fuzzy logic control

Dida, Abdelhak; Benattous, Djilani

doi:10.1007/s11708-016-0402-1

Cited by 22 publications

(6 citation statements)

References 13 publications

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“…The structure of the MPPT based on RST controller is depicted in Figure 3 [20]. To implement this algorithm in a fuzzy controller, we used a Mamdani model as presented in Figure 5 [1,15,21]. The proposed controller has two inputs: the variation in DFIG power and the variation in rotational speed, and only one output, which is the optimal speed variation that ensures maximum aerodynamic efficiency.…”

Section: As Br mentioning

confidence: 99%

Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator

Rached

Elharoussi

Abdelmounim

2020

IJECE

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The purpose of this work is to design and to discuss various strategies to optimize the production of a wind energy conversion chain based on the doubly fed induction generator (DFIG), by capturing the maximum power at the wind turbine, using maximum power point tracking (MPPT) and pitch control. The proposed controls allow the generator to monitor the optimal operating points of the turbines regardless of wind speed variations, system parameters disturbance, and parameters variation. Simulation of WECS based on a 1.5 MW wound rotor induction generator under MATLAB/SIMULINK is carried out using the PI controller (PIC), RST controller and fuzzy logic controller (FLC). Analysis and comparisons are made for different operating scenarios: Reference tracking, robustness under variable wind speed conditions and parameters variation. The application of FLC provides a very interesting outcome for the robustness and the dynamic challenges.

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Section: As Br mentioning

confidence: 99%

Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator

Rached

Elharoussi

Abdelmounim

2020

IJECE

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“…The DFIG is an adjustable speed induction machine which is widely used in wind turbines [25][26][27][28][29][30]. The model of DFIG system in an appropriate d-q reference frame is given as follows:…”

Section: Wind Turbine Modelmentioning

confidence: 99%

A novel controllable crowbar based on fault type protection technique for DFIG wind energy conversion system using adaptive neuro-fuzzy inference system

Noureldeen

Hamdan

2018

Prot Control Mod Power Syst

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This paper proposes a novel controllable crowbar based on fault type (CBFT) protection technique for doubly fed induction generator (DFIG) wind energy conversion system connected to grid. The studied system consists of six DFIG wind turbines with a capacity of 1.5 MW for each of them. The operation mechanism of proposed technique is used to connect a set of crowbar resistors in different connection ways via activation of controllable circuit breakers (CBs) depending on the detected fault type. For each phase of DFIG, a crowbar resistor is connected in parallel with a controllable CB and all of them are connected in series to grid terminals. The adaptive neuro-fuzzy inference system (ANFIS) networks are designed to detect the fault occurrence, classify the fault type, activate the CBs for crowbar resistors associated with faulted phases during fault period, and deactivate them after fault clearance. The effectiveness of proposed CBFT protection technique is investigated for different fault types such as symmetrical and unsymmetrical faults taking into account the single-phase to ground fault is the most frequently fault type that occurs in power systems. Also, a comparison between the behaviours of studied system in cases of using traditional parallel rotor crowbar, classical outer crowbar, and proposed CBFT protection techniques is studied. The fluctuations of DC-link voltage, active power, and reactive power for studied system equipped with different protection techniques are investigated. Moreover, the impacts of different crowbar resistance values on the accuracy of proposed technique are studied. The simulation results show that, the proposed technique enhances the stability of studied wind turbine generators and contributes in protection of their components during faults.

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“…Doubly fed induction generator (DFIG) is commonly used with pitch controlled variable speed wind turbine. The DFIG is preferred because of less maintenance requirement, less power fluctuations, good power quality and high efficiency [9], [15].…”

Section: Wind Energy Systemmentioning

confidence: 99%

“…Wind energy can also be converted into electrical energy by means of wind generators. Freely available wind, high energy conversion efficiency and eco-friendly energy conversion are the main merits of wind energy conversion system but these systems are noisy and requires regular maintenance [8], [9]. Fuel cell (FC) is another emerging renewable energy source with high energy conversion efficiency.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Power Management Strategy for Renewable Microgrid System

Kumar¹,

Ansari²

2018

IJEEI

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This paper presents the evaluation and control of renewable energy sources based micro-grid system having solar photovoltaic, wind turbine generator, fuel cell and diesel engine generator. A battery storage system has also been installed to provide unintrupted power supply and to store excess power. The proposed micro-grid system is simulated on Matlab/Simulink software and the performance has been analysied with two cases considering different environmental conditions to check the optimal performance of the system. In the first case, the solar photovoltaic, fuel cell, diesel engine generator and battery storage system has been considered and in the second case, the solar photovoltaic source is replaced by the wind turbines. For both the cases, simulation has been done for 300 seconds to findout the optimal fulfilment of the demand. The time domain analysis has been done by varying the solar irradiance and wind speed in respective cases to check the system performance. This work shows the efficient control of various distributed energy resources in the micro-grid system and meeting the load demand efficiently.

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A complete modeling and simulation of DFIG based wind turbine system using fuzzy logic control

Cited by 22 publications

References 13 publications

Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator

Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator

A novel controllable crowbar based on fault type protection technique for DFIG wind energy conversion system using adaptive neuro-fuzzy inference system

Evaluation of Power Management Strategy for Renewable Microgrid System

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