Direct voltage control of stand‐alone DFIG under asymmetric loads based on non‐singular terminal sliding mode control and improved extended state observer

Guo, Lei; Wang, Dan; Diao, Liang; Peng, Zhouhua

doi:10.1049/iet-epa.2018.5368

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…Therefore, disturbance compensator/observer/estimator based control design can be of great help for improving the robustness of the control system if parameter variation and external disturbances exist [29][30][31]. Sliding mode disturbance observers/compensators/estimators due to their robustness are very favourable [32][33][34][35]. These solutions can be particularly interesting for voltage unbalanced application, but the stability of control design is often not easy to prove.…”

Section: Introductionmentioning

confidence: 99%

Predictive discrete‐time sliding mode based direct power control for grid‐connected energy conversion systems

Huseinbegović

Peruničić

Veselić

et al. 2023

IET Control Theory & Appl

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A method for digital direct power control design for grid‐connected energy conversion systems was proposed in this paper. The active and reactive powers are directly controlled with constant switching frequency by selecting an appropriate switching control sequence of voltage source converter as a key part of energy conversion systems. The control design combines a discrete‐time sliding mode control and predictive control. The selection of feasible switching control vectors is a direct result of the discrete‐time sliding mode control approach. These vectors satisfy the existence conditions of the sliding mode, but each of them induces system motion with different properties. The task of predictive control is to select an appropriate switching control sequence to reduce the chattering phenomenon, steady‐state error, and overshoot. The cost function of the prediction process is defined as the average value of both power errors on the prediction horizon of three sampling periods. Simulation results, experimental results, and results of a comparative analysis are presented in order to show the performance and effectiveness of the proposed control design.

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Section: Introductionmentioning

confidence: 99%

Predictive discrete‐time sliding mode based direct power control for grid‐connected energy conversion systems

Huseinbegović

Peruničić

Veselić

et al. 2023

IET Control Theory & Appl

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“…However, no rules are presented for tuning of the integrator gain. In [29], a non-singular sliding mode controller with enhanced extended state observer is presented for a standalone DFIG. However, several gains need to be tuned.…”

Section: Introductionmentioning

confidence: 99%

Low Sensitivity Predictive Control for Doubly-Fed Induction Generators Based Wind Turbine Applications

et al. 2021

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In this paper, a deadbeat predictive control (DBPC) technique for doubly-fed induction generators (DFIGs) in wind turbine applications is proposed. The major features of DBPC scheme are its quick dynamic performance and its fixed switching frequency. However, the basic concept of DBPC is computing the reference voltage for the next sample from the mathematical model of the generator. Therefore, the DBPC is highly sensitive to variations of the parameters of the DFIG. To reduce this sensitivity, a disturbance observer is designed in this paper to improve the robustness of the proposed DBPC scheme. The proposed observer is very simple and easy to be implemented in real-time applications. The proposed DBPC strategy is implemented in the laboratory. Several experiments are performed with and without mismatches in the DFIG parameters. The experimental results proved the superiority of the proposed DBPC strategy over the traditional DBPC technique.

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“…When several researchers are attracted by wind systems operating in grid-connected mode (Bhawalkar et al, 2019, Gannoun et al, 2020Ghodbane-Cherif et al, 2019;Simon et al, 2019), islanded mode draws the attention of others (Maciejewski and Iwanski, 2020;Skander-Mustapha et al, 2016;Zeyu and Zhen, 2018). DFIG grid-connected applications are generally wind plant, whereas off-grid DFIG wind systems are especially suitable for small spread islands, powering telecommunication repeater stations or water irrigation systems (Guo et al, 2019(Guo et al, , 2020aRafiee et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Start-up system design for small scale autonomous DFIG wind turbine

2021

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Autonomous wind systems are becoming promising since they provide new and innovative solutions to non-electrified areas. Start-up procedures for this wind systems requires some care to ensure electricity availability, to ovoid overloads and to reduce electrical and mechanical stress that affect lifetime of system components. In this context, this paper deals with an enhanced start-up system for small scale autonomous wind systems based on doubly fed induction generator. With the proposed start-up system, transient magnetizing current value is maintained under rated rotor current value to ensure smooth start-up process. Start-up algorithm guarantees the reach of a stable system functioning. Suggested topology, that includes a supercapacitor as a supplementary source, can be disconnected once wind system boots. Predictive controllers are used to ensure fast response. An energy management system is developed to monitor power flow. Considered model and control strategy of each system component, as well as start-up process are presented. Simulation results prove the effectiveness of the proposed start-up system.

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Direct voltage control of stand‐alone DFIG under asymmetric loads based on non‐singular terminal sliding mode control and improved extended state observer

Cited by 8 publications

References 25 publications

Predictive discrete‐time sliding mode based direct power control for grid‐connected energy conversion systems

Predictive discrete‐time sliding mode based direct power control for grid‐connected energy conversion systems

Low Sensitivity Predictive Control for Doubly-Fed Induction Generators Based Wind Turbine Applications

Start-up system design for small scale autonomous DFIG wind turbine

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