Adaptive third order terminal sliding mode power control of DFIG based wind farm for power system stabilisation

Patnaik, R. K.; Dash, P.K.; Mishra, Sukumar

doi:10.1007/s40435-019-00567-0

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…Several scientific works have been proposed in order to overcome this problem, where fuzzy logic [75], neuroalgorithm [76], and neural networks [77] have been used. Among other solutions that have been proposed are super twisting algorithm [78] and third-order sliding mode control [79,80]. However, there is a proposal that was discussed in [81] that proved its effectiveness in overcoming the defects and problems of the traditional called Integral sliding mode control (ISMC).…”

Section: Ismc Technique Of Rspcmentioning

confidence: 99%

Robust Control of DFIG-Based WECS Integrating an Energy Storage System With Intelligent MPPT Under a Real Wind Profile

Chojaa,

Derouich,

Zamzoum

et al. 2023

IEEE Access

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This research work addresses the challenge of controlling a wind energy conversion system (WECS) connected to the grid, which incorporates a battery energy storage system and operates under varying real wind speed profiles. The system comprises a Doubly-Fed Induction Generator (DFIG) connected to the grid through an AC/DC/AC converter, along with a Li-ion battery pack storage unit linked to the Back-to-Back converter DC via a DC/DC converter. The study highlights that internal parametric variations and the non-linear behavior of the wind turbine negatively affect the energy quality produced, as well as the battery charging performance and its overall lifespan. To overcome these issues, the research proposes a robust control strategy based on Integral action Sliding Mode Control (ISMC) to independently manage the powers of the WECS, particularly the DFIG, to enhance dynamic performance. Furthermore, effective battery charging and discharging controllers are crucial for efficiently distributing the generated power to both the grid and the storage unit, ensuring proper energy extraction and battery charging/discharging. Depending on the battery's State of Charge (SOC), the available extracted energy, and the power injected into the grid, two current regulation modes are employed: buck charging mode and boost discharging mode. A storage system energy management algorithm is then utilized to determine the appropriate charging mode, ensuring battery safety. To validate the system's performance, a 1.5 MW wind power conversion system is tested using Matlab/Simulink simulations. The results demonstrate the robustness and efficiency of the proposed control approach in enhancing the overall system's performance.

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Section: Ismc Technique Of Rspcmentioning

confidence: 99%

Robust Control of DFIG-Based WECS Integrating an Energy Storage System With Intelligent MPPT Under a Real Wind Profile

Chojaa,

Derouich,

Zamzoum

et al. 2023

IEEE Access

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“…However, the chattering phenomenon produced by the controller with highfrequency switching could weaken the system performance [9,10]. The methods for attenuating chattering effects have been divided into three categories, such as the use of a continuous approximation of the relay and introducing a boundary layer near the sliding surface [11], applying an asymptotic stateobserver [12], and the exertion of higher-order or SOSMC approaches [7,10,13,14]. These methods have their limits.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In [13], an adaptive SOSMC based on the STA is adopted to reduce the chattering effect and derive a robust and fast current control. In [14], an adaptive third-order terminal SMC is presented to improve the stability of the wind farm with the multi-machine power system. In [15], two strategies based on nonlinear and fractional optimal, and SOSMC are presented for a VSWT with a fractional-order DFIG.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive second‐order terminal PID sliding mode control design for integer‐order approximation of wind turbine system for maximum power extraction

Abolvafaei

Ganjefar

2021

IET Control Theory & Appl

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The main purpose of this paper is to extract the maximum power from the variable speed wind turbine (VSWT), which is modelled using fractional calculus. The use of the fractional-order operator can harden the practical implementation and numerical simulation of the fractional-order systems. To apply the fractional calculus theory, we assume that the orders of all fractional derivatives of the system have a small deviation from the nearest integers. By defining this small deviation as a perturbation parameter, an integer-order approximation method is presented for approximating the fractional-order system into a perturbed integer-order system in the time domain. Then, a new adaptive second-order sliding mode control (SOSMC) method is proposed using the terminal proportional integral derivative (TPID) sliding surface to achieve maximum power extraction and reduce mechanical loads and chattering. A TPID sliding surface is employed to ensure better tracking, have a zero steady-state error, decrease the mechanical stresses, and eliminate the chattering phenomenon. The stability of the adaptive SOSMC based on the obtained integer-order approximation is analyzed using the Lyapunov stability criterion. The simulation results of the proposed method are presented and compared with some designed controllers for wind turbines (WTs) modelled with fractional and integer derivatives. The obtained results show the effectiveness of the proposed strategy.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Switch fault is commonly occurred in the power electronic converter that produce high electrical, thermal stress, gate drive fault or wire disconnection that may cause various switch faults 3‐5 . The DFIG system's normal operations are affected by the switch fault, which causes critical issues like high current pulse, over current stress, and open phase process 6‐8 . Determination between the actual systems and mathematical models is used for the important issue of open and short circuit switch faults of the power electronic component 9,10 …”

Section: Introductionmentioning

confidence: 99%

Improving the performance of grid‐connected doubly fed induction generator by fault identification and diagnosis: A kernel PCA‐ESMO technique

Stallon¹,

Rajkumar

2021

Int Trans Electr Energ Syst

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Summary In this manuscript, a novel Kernel PCA‐ESMO technique is proposed for protecting the system and diagnosing the exact fault occuring in the DFIG. The proposed method is joined implementation of Kernel principal component analysis (Kernel PCA) and enhanced Spider Monkey Optimization SMO (ESMO) technique, and, hence, it is named Kernel PCA‐ESMO approach. Here, two phases are considered for fault analysis; they are fault identification and diagnosis. Primarily, the first phase identifies the system fault conditions of DFIG in grid‐connected system using Kernel PCA approach. After that, the ESMO classifies the type of fault that has occurred in the DFIG. The major scope of the proposed Kernel PCA‐ESMO method is to guarantee the system with less complexity for fault identification and diagnosis for enhancing the power quality of whole system. The implementation of proposed model is made at MATLAB/Simulink, and implementation is evaluated by existing techniques. The statistic analysis of proposed and existing systems of mean, median, and SD is analyzed. The efficiency of proposed and existing technique is also evaluated. The obtained values for percentage recall and precision that are enhanced using proposed technique are 97.8% and 98%. Consequently, the simulation outcome indicates that the efficiency of proposed technique and implementation of proposed strategy is compared to existing systems.

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Adaptive third order terminal sliding mode power control of DFIG based wind farm for power system stabilisation

Cited by 7 publications

References 21 publications

Robust Control of DFIG-Based WECS Integrating an Energy Storage System With Intelligent MPPT Under a Real Wind Profile

Robust Control of DFIG-Based WECS Integrating an Energy Storage System With Intelligent MPPT Under a Real Wind Profile

Adaptive second‐order terminal PID sliding mode control design for integer‐order approximation of wind turbine system for maximum power extraction

Improving the performance of grid‐connected doubly fed induction generator by fault identification and diagnosis: A kernel PCA‐ESMO technique

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