Nonlinear Control Strategies for Enhancing the Performance of DFIG-Based WECS under a Real Wind Profile

Chojaa, Hamid; Derouich, Aziz; Taoussi, Mohammed; Chehaidia, Seif Eddine; Zamzoum, Othmane; Mosaad, Mohamed I.; Alhejji, Ayman; Yessef, Mourad

doi:10.3390/en15186650

Cited by 29 publications

(15 citation statements)

References 39 publications

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“…The DFIG parameters are: P sn = 1.5 MW, p = 2, R s = 0.012O, 50 Hz, 380/696 V, R r = 0.021O, L s = 0.0137 H, J = 1000 kg.m 2 , f r = 0.0024 Nm/s, L r = 0.0136 H, and L m = 0.0135 H. 57…”

Section: Analysis and Resultsmentioning

confidence: 99%

A new integral-synergetic controller for direct reactive and active powers control of a dual-rotor wind system

Benbouhenni,

Bizon,

Thounthong

et al. 2023

Measurement and Control

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This paper proposes a new integral-synergetic controller for direct reactive and active powers control (DARPC) for a grid-connected doubly-fed induction generators (DFIGs) in dual-rotor wind power generation applications. The proposed DARPC strategy employs integral-synergetic control (ISC) to regulate the reactive and active powers of the DFIG-based variable speed dual-rotor wind turbine systems. The proposed ISC technique is the contribution of this work, where this strategy is a development of synergetic control and simplicity and robustness are the most prominent features. The main advantages of the proposed ISC-DARPC technique are ease of implement, good dynamic response, simple structure, and constant switching frequency operation. The Matlab software is used to validate the design of the ISC-DARPC technique, and the obtained results are compared with traditional DARPC. In addition, the ISC-DARPC technique is able to fully minimize ripples in both torque and active power during grid voltage imbalance or parametric changes on the DFIG.

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“…The DFIG parameters are: P sn = 1.5 MW, p = 2, R s = 0.012O, 50 Hz, 380/696 V, R r = 0.021O, L s = 0.0137 H, J = 1000 kg.m 2 , f r = 0.0024 Nm/s, L r = 0.0136 H, and L m = 0.0135 H. 57…”

Section: Analysis and Resultsmentioning

confidence: 99%

A new integral-synergetic controller for direct reactive and active powers control of a dual-rotor wind system

Benbouhenni,

Bizon,

Thounthong

et al. 2023

Measurement and Control

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“…This is due to the adverse effect of poor PQ, such as equipment damage, production losses, and safety hazards. In addition, the integration of power electronics-based interfacing devices, nonlinear loads, EV charging, renewable energy integration, and energy storage devices take the PQ issues beyond control, and make it difficult to maintain within a limit [2][3][4][5]. Secondly, accurately and quickly detecting PQ events is necessary to take further corrective action leading to a stable and protective energy system.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review of Deep-Learning Applications to Power Quality Analysis

et al. 2023

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Power quality (PQ) monitoring and detection has emerged as an essential requirement due to the proliferation of sensitive power electronic interfacing devices, electric vehicle charging stations, energy storage devices, and distributed generation energy sources in the recent smart grid and microgrid scenarios. Even though, to date, the traditional approaches play a vital role in providing a solution to the above issue, the limitations, such as the requirement of significant human effort and not being scalable for large-scale power systems, force us to think of alternative approaches. Looking at a better perspective, deep-learning (DL) has gained the main attraction for various researchers due to its inherent capability to classify the data by extracting dominating and prominent features. This manuscript attempts to provide a comprehensive review of PQ detection and classification based on DL approaches to explore its potential, efficiency, and consistency to produce results accurately. In addition, this state-of-the-art review offers an overview of the novel concepts and the step-by-step method for detecting and classifying PQ events. This review has been presented categorically with DL approaches, such as convolutional neural networks (CNNs), autoencoders, and recurrent neural networks (RNNs), to analyze PQ data. This paper also highlights the challenges and limitations of using DL for PQ analysis, and identifies potential areas for future research. This review concludes that DL algorithms have shown promising PQ detection and classification results, and could replace traditional methods.

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“…To avoid these problems and try to reduce them, there are several solutions suggested to advance the effectiveness and the operation of the DPC. Among these solutions, we find artificial intelligence and nonlinear techniques [20], [21]. These techniques gave good results, especially in terms of dynamic response.…”

Section: Introductionmentioning

confidence: 99%

A Novel DPC Approach for DFIG-Based Variable Speed Wind Power Systems Using DSpace

et al. 2023

Self Cite

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The integration of wind energy systems into the electric grid has become inevitable despite the many problems associated with this integration. Most of these problems are due to variations in wind speed. The problems are for example oscillations in the power generated, which implies the lack of guarantee of obtaining the maximum energy and the ripple in the electromechanical torque of the generator. This work aims at mitigating these problems for wind energy conversion system-driven doubly-fed induction generator (DFIG), which is the main wind turbine utilized for energy applications. This mitigation is performed through direct reactive and active powers control of the DFIG using an artificial neural network. A DSP (Digital Signal Processor-dSPACE DS1104) was used to experimentally test the proposed strategy. The dynamic performances of the controlled generator are analyzed by using the designed intelligent control strategy in the case of variable wind speeds and upon sudden change of the active power demand. Based on the obtained experimental results, it can be said that the designed intelligent control strategy outperforms traditional methods like direct power (DPC) and vector control in terms of reducing the current harmonics, and torque ripples, and enhancing dynamic response.

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Nonlinear Control Strategies for Enhancing the Performance of DFIG-Based WECS under a Real Wind Profile

Cited by 29 publications

References 39 publications

A new integral-synergetic controller for direct reactive and active powers control of a dual-rotor wind system

A new integral-synergetic controller for direct reactive and active powers control of a dual-rotor wind system

A Comprehensive Review of Deep-Learning Applications to Power Quality Analysis

A Novel DPC Approach for DFIG-Based Variable Speed Wind Power Systems Using DSpace

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