Synergetic control based on rotor speed regulation with variable proportional coefficient for doubly-fed wind turbines implementing virtual inertia support

Liang, Kai; Peng, Xiaotao; Zhou, Jicheng; Wang, Ruiming; Li, Fucheng

doi:10.1049/cp.2019.0368

Cited by 2 publications

(1 citation statement)

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“…To increase the durability of the WE system, increase the quality of the current and reduce the power ripples, several researchers have suggested using other techniques to command the IG, which is to combine techniques such as neural DTC control, 23 fuzzy DTC, 24 backstepping control, 25 neural SMC technique, 26 NF-SMC technique, 27 and SC technique. 28 Using these strategies obtained in the field of renewable energies leads to a significant increase in energy quality and a reduction in the value of THD of current. Some of these strategies are complex and difficult to implement, such as the NF-SMC technique, which is undesirable.…”

Section: Introductionmentioning

confidence: 99%

Active and reactive power vector control using neural-synergetic-super twisting controllers of induction generators for variable-speed contra-rotating wind turbine systems

Benbouhenni,

Ionescu,

Mazare

et al. 2024

Measurement and Control

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Reactive and active power vector control of induction generators (IG) are essential requirements for generating high-quality electricity from wind power. These control objectives are challenging and difficult to achieve when using traditional strategies based on estimating reactive/active power, hysteresis comparators, and proportional-integral (PI) regulators due to load variations, changes in the value of rotor resistance, etc. So, to achieve these control objectives, this paper proposes a novel technique for the rotor side converter of IG-based contra-rotating wind power (CRWP) systems. The control based on the neural synergetic-super-twisting controller (NSSTC) is designed to minimize IG power ripples and improve the quality of current. The characteristics of the NSSTC-based strategy are presented, evaluated, and compared to the traditional direct field-oriented command (DFOC) based on traditional PI controllers and other reference techniques from the literature, highlighting that the NSSTC-based strategy is simpler to apply and more robust and performant than others classical nonlinear strategies. Comparative simulations are carried out on both the designed DFOC-NSSTC strategy and the DFOC technique to demonstrate the performance (good quality output power, low total harmonic distortion (THD) value of rotor currents, short response time and high robustness) and advantages of the suggested nonlinear technique.

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Section: Introductionmentioning

confidence: 99%

Active and reactive power vector control using neural-synergetic-super twisting controllers of induction generators for variable-speed contra-rotating wind turbine systems

Benbouhenni,

Ionescu,

Mazare

et al. 2024

Measurement and Control

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Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments

2022

Energies

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With the increasing proportion of wind turbines in power grids, they are required to have capabilities of active and efficient virtual inertial response to maintain grid frequency stability. However, the virtual inertial control methods currently used in doubly-fed induction generator (DFIG) units suffer from a secondary frequency drop (SFD) problem. Although the SFD can be inhibited by reducing the active power support strength of the DFIG units during inertia response, it will undoubtedly weaken the virtual inertia of the units. Therefore, how to eliminate the SFD while increasing the virtual inertia of the units is a worthy issue for studying. To solve this issue, a wind-storage combined virtual inertial control system based on quantization and regulation decoupling of active power increments is proposed in this paper. First, by setting the parameters of a proportional–differential (P-D) algorithm, the total active power increments required for virtual inertial response are quantified at the DFIG level. Secondly, a curve-shifting method based on the rate of change of frequency is adopted to adjust the active power output of the DFIG units. Finally, a battery energy storage system (BESS) is used to compensate for the power shortages of the units according to the quantized value of the active power increments. Simulations show that the control method can not only eliminate SFD but also effectively increase the system’s virtual inertia.

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Synergetic control based on rotor speed regulation with variable proportional coefficient for doubly-fed wind turbines implementing virtual inertia support

Cited by 2 publications

References 0 publications

Active and reactive power vector control using neural-synergetic-super twisting controllers of induction generators for variable-speed contra-rotating wind turbine systems

Active and reactive power vector control using neural-synergetic-super twisting controllers of induction generators for variable-speed contra-rotating wind turbine systems

Wind-Storage Combined Virtual Inertial Control Based on Quantization and Regulation Decoupling of Active Power Increments

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