Step towards Enriching Frequency Support from Wind-Driven Permanent-Magnet Synchronous Generator for Power System Stability

Ali, Muhammad Arif Sharafat

doi:10.4316/aece.2022.01009

Cited by 5 publications

(4 citation statements)

References 39 publications

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“…This study presents a comparison between the proposed control strategy and traditional DPC for a DFIG-based dual-rotor wind turbine system. The simulation results show that the suggested control with 85 32 -Alami et al 86 15 80 Ibrahim et al 87 DPC 17 18 Nonlinear DPC strategy 9 5…”

Section: Discussionmentioning

confidence: 91%

“…6,7 Besides the PWM technique, a proportional-integral (PI) controller is used to command the characteristic magnitudes of DFIG. 9 Field-oriented control is less efficient than DTC and DPC in terms of power ripples, and quality of current, dynamic response. 10 In the field of control, the DPC technique is one of the most widely used strategies in the field of RE for the generation of electric power due to its multiple characteristics compared to some controls.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fractional-order neural control of a DFIG supplied by a two-level PWM inverter for dual-rotor wind turbine system

Benbouhenni,

Colak,

Bizon

et al. 2023

Measurement and Control

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Energy ripples are among the common problems in renewable energies as a result of using less efficient strategies. In this work, a new technique is suggested to control a doubly-fed induction generator (DFIG) using the pulse width modulation (PWM). The new technique is based on the combination of neural networks and fractional-order control to minimize the reactive and active power ripples of the DFIG-based variable speed dual-rotor wind turbine system. The suggested fractional-order neural control (FONC) with the PWM is a simple, robust and a high-performance strategy. Simulation is performed using Matlab software to validate the effectiveness of the designed control of 1.5 MW DFIG and the obtained results are compared with the traditional direct power control (DPC) in different working conditions. In addition, the comparison between the suggested control and the DPC is performed in the cases of changing or not changing the device parameters in terms of ripple ratio, dynamic response, steady-state error, current quality, and overshoot of active and reactive power of the DFIG. As compared to the DPC, the proposed FONC technique improves the active and reactive power ripples by 65.71% and 84.74%, respectively. Also, improves the overshoot of the active and reactive power by 71.33% and 91.72%, respectively. The simulation results demonstrate the high performance and robustness of the FONC technique for the parametric variations of the DFIG-based variable speed dual-rotor wind turbine system compared to the DPC control.

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Section: Discussionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

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Fractional-order neural control of a DFIG supplied by a two-level PWM inverter for dual-rotor wind turbine system

Benbouhenni,

Colak,

Bizon

et al. 2023

Measurement and Control

View full text Add to dashboard Cite

show abstract

“…As an important part of the new energy power system. Especially the energy storage equipment represented by electrochemical energy storage, which can quickly respond to the frequency fluctuation of the power grid through the way of energy storage-energy release, is expected to play more roles in guaranteeing power system stability [4][5][6]. Therefore, the virtual synchronous machine (VSG) control strategy has emerged.…”

Section: Introductionmentioning

confidence: 99%

Frequency stability study of energy storage participation in new energy power system using virtual synchronous machine control

Zhang,

Rong

2024

Eng. Res. Express

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Aiming at the frequency stability of the power system under the increasing proportion of new energy sources, the study adopts the virtual synchronous machine-based energy storage adaptive control strategy and the frequency response model of the new power system. The energy storage adaptive control strategy coordinates the control of the battery's charging state and the grid operation state by monitoring the grid operation parameters and the battery operation state in real time, so as to calculate the commanded power of the grid-connected converter. The results show that the system stability of adaptive virtual synchronization control improves when the electric transmission power increases from 205 to 510, while the system stability of virtual synchronization control decreases. The extended SFR model possesses excellent frequency matching ability when the new energy penetration rate is 8.497% and 15.66%. Virtual synchronous energy storage control strategy and the power system frequency response model can effectively predict and control the system frequency change to improve system stability under the increasing penetration rate of new energy.

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Application of Backstepping Control With Nonsingular Terminal Sliding Mode Surface Technique to Improve the Robustness of Stator Power Control of Asynchronous Generator-Based Multi-Rotor Wind Turbine System

Yahdou,

Benbouhenni,

Colak

et al. 2024

Electric Power Components and Systems

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Step towards Enriching Frequency Support from Wind-Driven Permanent-Magnet Synchronous Generator for Power System Stability

Cited by 5 publications

References 39 publications

Fractional-order neural control of a DFIG supplied by a two-level PWM inverter for dual-rotor wind turbine system

Fractional-order neural control of a DFIG supplied by a two-level PWM inverter for dual-rotor wind turbine system

Frequency stability study of energy storage participation in new energy power system using virtual synchronous machine control

Application of Backstepping Control With Nonsingular Terminal Sliding Mode Surface Technique to Improve the Robustness of Stator Power Control of Asynchronous Generator-Based Multi-Rotor Wind Turbine System

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