New structure of sliding mode control for variable speed wind turbine

Berrada, Youssef; Boumhidi, Ismail

doi:10.1016/j.ifacsc.2020.100113

Cited by 20 publications

(14 citation statements)

References 31 publications

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“…The convergence condition to make the sliding movement is guaranteed if [26]: Besides, in order to keep the switching nearby the sliding mode surface, the control formula 𝑢 * (𝑡) is developed as the addition of two expressions:…”

Section: Composition Of the Speed Fractional-order Sliding Mode Contr...mentioning

confidence: 99%

Optimal Power Generation Control of 5-Phase PMSG Based WECS by Using Enhanced Fuzzy Fractional Order SMC

2022

IJIES

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In this research, an intelligent fuzzy logic technique is embedded with robust fractional order sliding mode control that comprises fractional differentiation and integration enhancement technique, with a view to control a highpower five-phase Permanent Magnet Synchronous Generator (PMSG) based direct-driven wind turbine. At first, fractional sliding surface is created, and its control law is obtained. Then, fast reaching law is designed by using Fuzzy Logic Approach (FLC) to replace the discontinuity in the traditional non-derivable signum function of conventional Sliding Mode Control (SMC), with the aim to reduce the chattering phenomenon during the sliding phase, enhance dynamic operation, static performance, and improve the produced energy efficiency and robustness. The new proposed approach is evaluated by conducting comparative simulation and analysis with the classical SMC and PI controller from published works. The results disclose the great reliability, fantastic behaviour, and constancy of Fuzzy Fractional-Order Sliding Mode Control (FFOSMC), and the efficiency of the wind turbine is upgraded to 97.2 %, with a favourable tracking performance, although the external conditions, compared to the classical PI technique that can only provide 86.2 % of efficacy.

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Section: Composition Of the Speed Fractional-order Sliding Mode Contr...mentioning

confidence: 99%

Optimal Power Generation Control of 5-Phase PMSG Based WECS by Using Enhanced Fuzzy Fractional Order SMC

2022

IJIES

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“…A hybrid of fuzzy logic control and secondorder SMC was applied to unified power flow controller in [30]. In [31], a developed method of SMC was proposed to reduce the phenomena of chattering and investigate the optimal power extracted from wind.…”

Section: Literature Surveymentioning

confidence: 99%

Optimal design of SSSC and crowbar parameters for performance enhancement of Egyptian Zafrana wind farm

et al. 2021

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Zafarana Wind Park is considered the largest wind farm in Middle East. By the year 2022, Zafarana wind farm will inject 545 MW to Egypt national electric network (ENEN). This wind farm has been connecting to ENEN in stages (eight stages) from ten years ago. Each stage represents a project of wind farm. Hence, the impact of the emergency condition of ENEN on the performance of the installed stage of Zafarana Wind Park should be studied. Moreover, determining the possible method to reduce the side effects of the emergency condition of ENEN on the installed stage of Zafarana Wind Park becomes an important issue. In this paper, a combination between Static Synchronous Series Compensator (SSSC) and crowbar (Cro-SSSC) is used to enhance the performance of the one installed stage of Zafarana Wind Park. The studied stage of Zafarana Wind Park is Zafarana Z1 wind farm (Z1). Zafarana Z1 wind farm represents that first stage of Zafarana Wind Park that was connected to ENEN. Hence, the paper takes Zafarana Z1 wind farm as the studied case to examine the impact of Cro-SSSC. The crowbar is used to protect the power components of the SSSC from the high current during grid fault condition. Also, in this paper multi-objective lightning attachment procedure optimization algorithm (LAPO) and the sine cosine algorithm (SCA) are used to evaluate and tune the control gains of SSSC and the value of crowbar's resistance. This step is important in order to determine the values of the control's gains of SSSC and the value of crowbar resistance which suit the studied system (one installed stage of Zafarana Wind Park). The sliding mode control (SMC) is used as an example of nonlinear control of SSSC. Also, a hybrid of LAPO and SMC is used to improve the performance of Zafarana Z1 during faults. The results of LAPO, SCA and SMC are compared during three-phase fault and single line to ground fault applied to the studied system.

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“…Furthermore, maintaining the rated speed can also cope with the fluctuation of the wind speed, such as gusts, which will cause large turbine load and may lead to component fatigue, automatic shutdown or even damage some components of the turbine. There have been a great deal of research on management of VSWT, such as a new structure of sliding mode control [2], a fault detection and monitoring scheme for the VSWT [3], and a control approach using a robust wind torque estimation [4], etc.…”

Section: Introductionmentioning

confidence: 99%

Pitch angle control with fault diagnosis and tolerance for wind turbine generation systems

Shi

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part I:

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To enhance the reliability of wind turbine generation systems that are generally located in the remote area and subjected to harsh environment, we design the pitch angle control for variable speed wind turbines with the function of fault diagnosis and fault tolerance. The main fault targeted in this research is the mechanical wear and possible break of the blade, pitch gear set or shaft, which cause shaft rotary friction change. The proposed method uses a disturbance observer to diagnose the fault. The estimated fault is used for component assessment and later maintenance. The fault-tolerant control is achieved using a full-order terminal sliding mode control combined with an adaptive neural network estimator. With the compensation of the adaptive estimator, the post-fault states can be driven onto the sliding surface and converge to a small area around the origin. The full-order terminal sliding mode control ensures the state convergence in finite time. The Lyapunov method is used to derive the control law, so that the closed-loop post-fault stability and the convergence of the adaptive estimator adaptation are both guaranteed. The computer simulations of the pitch angle control based on a 5-MW variable-speed variable-pitch angle wind turbine model are conducted with different types of fault simulated. A third-order nonlinear state space model with fault term is derived, and real physical parameters are applied in the simulations. The simulation results demonstrate the feasibility and effectiveness of the proposed scheme and the potential of real-world applications.

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New structure of sliding mode control for variable speed wind turbine

Cited by 20 publications

References 31 publications

Optimal Power Generation Control of 5-Phase PMSG Based WECS by Using Enhanced Fuzzy Fractional Order SMC

Optimal Power Generation Control of 5-Phase PMSG Based WECS by Using Enhanced Fuzzy Fractional Order SMC

Optimal design of SSSC and crowbar parameters for performance enhancement of Egyptian Zafrana wind farm

Pitch angle control with fault diagnosis and tolerance for wind turbine generation systems

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