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

Noureldeen, Omar; Hamdan, I.

doi:10.1186/s41601-018-0106-0

Cited by 42 publications

(40 citation statements)

References 24 publications

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“…whereî md ,˙î md ,˙Ψ 2 ,î mq ,˙î mq and˙Ψ 3 are the estimations of i md ,i md ,Ψ 2 , i mq ,i mq andΨ 3 , respectively, and α 21 , α 22 , α 31 and α 32 are the positive constants. The adaptive control of the PMSG employing the perturbation estimation is designed as…”

Section: Adaptive Control For Pmsg-wtmentioning

confidence: 99%

“…A stable operation is important for the grid and WECS. Additional protection devices, e.g., active crowbars and damping resistor, have been installed in PMSG and DFIG based WECSs for enhancing the FRTC of WECSs [30][31][32][33]. Although the FRTC of the WECSs has been enhanced, the cost of the whole system has been increased by installing the additional protection devices.…”

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confidence: 99%

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Overall Adaptive Controller Design of PMSG Under Whole Wind Speed Range: A Perturbation Compensation Based Approach

et al. 2019

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This paper proposes an adaptive overall control strategy of the permanent magnet synchronous generator-based wind energy conversion system (WECS) in the whole wind speed range. For the machine side, the maximum power point tracking (MPPT) operation is realized by stator current and mechanical rotation speed control under below-rated wind speeds. Under above-rated wind speeds, the extracted wind power is limited via pitch control. For the grid side, the reactive and active power injected into grid is regulated by DC-Link voltage and grid current control loop. In addition, under grid voltage dips, the pitch control is employed for limiting grid current and maintaining the DC-Link voltage around its rated value. The fault ride-through capability (FRTC) can be enhanced. The overall control strategy is based on perturbation estimation technique. A designed observer is used for estimating the perturbation term including all system nonlinearities, uncertainties and disturbances, so as to compensate the real perturbation. Then, an adaptive control for the original nonlinear system can be realized. The effectiveness of the proposed overall control strategy is verified by applying the strategy to a 2-MW WECS in MATLAB/Simulink. The results show that, compared with the feedback linearizing control (FLC) strategy and conventional vector control (VC) strategy, the proposed perturbation observer based adaptive control (PO-AC) strategy realizes the control objectives without knowing full state information and accurate system model, and improves the robustness of the WECS parameter uncertainties and FRTC.

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Section: Adaptive Control For Pmsg-wtmentioning

confidence: 99%

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confidence: 99%

Overall Adaptive Controller Design of PMSG Under Whole Wind Speed Range: A Perturbation Compensation Based Approach

et al. 2019

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“…The evolution of renewable energy is the best solution to protect the environment and reduces the pollution caused by nuclear energy and fossil resources, renewable energy sources come from: wind energy, sun, geothermal, biomass, marine energy and hydroelectric. Among these sources of energy, the wind energy is the cleanest, effective and promising resource; it's a sustainable way to produce electricity without warming emissions [1,2], that leads to an increasing insertion in the electrical networks.…”

Section: Introductionmentioning

confidence: 99%

“…1. In this topology, the stator windings are directly linked to the electrical grid, and the rotor windings are linked the network via a back-to-back power electronic converter, which is placed a DC bus voltage, where the derived name of 'doubly fed' [2].…”

Section: Introductionmentioning

confidence: 99%

A direct power control of a DFIG based-WECS during symmetrical voltage dips

Mensou

Essadki

Nasser

et al. 2020

Prot Control Mod Power Syst

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The Wind Energy Conversion System (WECS) based Doubly Fed Induction Generator (DFIG) has experienced a rapid development in the world, which leads to an increasing insertion of this source of energy in the electrical grids. The sudden and temporary drop of voltage at the network can affect the operation of the DFIG; the voltage dips produce high peak currents on the stator and rotor circuits, without protection, the rotor side converter (RSC) will suffer also from over-current limit, consequently, the RSC may even be destroyed and the generator be damaged. In this paper a new Direct Power Control (DPC) method was developed, in order to control the stator powers and help the operation of the aero-generator during the faults grid; by injecting the reactive power into the network to contribute to the return of voltage, and set the active power to the optimum value to suppress the high peak currents. The DPC method was designed using the nonlinear Backstepping (BS) controller associated with the Lyapunov function to ensure the stability and robustness of the system. A comparison study was undertaken to verify the robustness and effectiveness of the DPC-BS to that of the classical vector control (VC) using Proportional-Integral (PI) correctors. All were simulated under the Simulink® software.

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“…The sudden change of stator windings voltage during faults may cause over current and over voltage in rotor windings due to magnetic coupling [5]. To avoid the damage of DFIG power electronic components, extra protection techniques must be established [6][7][8][9][10]. Currently, the grid code requires that the wind farm must remain connected to electrical grid for a specified duration time during faults, which is so-called LVRT grid code curve of wind turbines [11].…”

Section: Introductionmentioning

confidence: 99%

Design of advanced artificial intelligence protection technique based on low voltage ride-through grid code for large-scale wind farm generators: a case study in Egypt

2019

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This paper proposes an advanced artificial intelligence protection technique based on low voltage ride-through (LVRT) for a large-scale doubly fed induction generator (DFIG) wind farm. The proposed protection technique consists of two dependant approaches. The first approach is fault detector algorithm that using adaptive neuro fuzzy inference system as an artificial intelligence technique to detect the fault occurrence and its location. The second approach is implementation of Egyptian LVRT grid code to discriminate between tripping or not tripping decision for faulted wind turbine generators based on fault conditions such as its duration and voltage level. The proposed protection technique is applied on a simulation model of 200 MW Gabal El-Zayt wind farm, which located in Red Sea region and connected to Egyptian electrical grid. The studied wind farm consists of 100 DFIG wind turbines, and each generator has a capacity of 2 MW. The simulation model of studied wind farm is implemented by using MATLAB/SIMULINK toolboxes to demonstrate the performance of proposed protection technique. The impacts of fault duration, fault type, internal and external fault locations on the behaviour of studied wind farm equipped with the proposed protection technique are investigated. Also, the impacts of grid voltage sag and different ground transition resistances on the performance of proposed protection technique are investigated. The simulation results show that, the proposed protection technique can detect and isolate the faulted area according to Egyptian LVRT grid code requirements for enhancement the stability of studied wind farm.

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

Cited by 42 publications

References 24 publications

Overall Adaptive Controller Design of PMSG Under Whole Wind Speed Range: A Perturbation Compensation Based Approach

Overall Adaptive Controller Design of PMSG Under Whole Wind Speed Range: A Perturbation Compensation Based Approach

A direct power control of a DFIG based-WECS during symmetrical voltage dips

Design of advanced artificial intelligence protection technique based on low voltage ride-through grid code for large-scale wind farm generators: a case study in Egypt

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