Fractional Order Sliding Mode Based Direct Power Control of Grid-Connected DFIG

Xiong, Liansong; Wang, Jie; Mi, Xiao; Khan, Muhammad Waseem

doi:10.1109/tpwrs.2017.2761815

Cited by 86 publications

(35 citation statements)

References 34 publications

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“…To tackle the issue, fractional‐order sliding mode control (FOSMC) is proposed based on the integration of SMC method and fractional‐order calculus theory . Different from integer‐order rational transfer functions, the fractional‐order operator possesses the infinite memory and takes into consideration the whole history of input signals, which effectively reduces the chattering phenomenon of conventional SMC . Passive FOSMC is designed for photovoltaic systems to achieve maximum power point tracking under various operating conditions, and FOSMC greatly improves the robustness of the closed‐loop system against various disturbances .…”

Section: Introductionmentioning

confidence: 99%

“…21,22 Different from integer-order rational transfer functions, the fractional-order operator possesses the infinite memory and takes into consideration the whole history of input signals, which effectively reduces the chattering phenomenon of conventional SMC. 23 Passive FOSMC is designed for photovoltaic systems to achieve maximum power point tracking under various operating conditions, and FOSMC greatly improves the robustness of the closed-loop system against various disturbances. 24 For microgrid with distributed generator, authors propose a passivity-based FOSMC of a supercapacitor energy storage system to achieve more flexible control performance as compared with conventional control methods.…”

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confidence: 99%

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Fractional‐order sliding mode control for damping of subsynchronous control interaction in DFIG‐based wind farms

Xiong

Wang

et al. 2019

Wind Energy

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This paper proposes a fractional-order sliding mode control (FOSMC) based on feedback linearization (FL) technique to mitigate subsynchronous control interaction (SSCI) in doubly fed induction generator (DFIG)-based wind farms connected to series-compensated transmission lines. A linearized form of the studied system is obtained with the use of FL, which leads to reduced system order and small computational burden. Then the FOSMC is designed for grid-side converter (GSC) to stabilize SSCI and to provide a considerable robustness against external disturbances and parameter uncertainties. For FOSMC parameter tuning, genetic algorithm (GA) is performed through MATLAB/SIMULINK. Time-domain simulation are carried out to evaluate the effectiveness of the FOSMC in mitigating SSCI at varied operating conditions, and the superior performance of the proposed control is demonstrated as compared with conventional vector control (VC), feedback linearization sliding mode control (FLSMC), high-order sliding mode control (HOSMC). KEYWORDS doubly fed induction generator, fractional-order sliding mode control, subsynchronous control interaction 1 | INTRODUCTION Subsynchronous resonance (SSR) of wind farms is a condition where wind turbines exchange energy with the grid at one or more natural frequency below the fundamental frequency. 1 A new type of SSR, known as subsynchronous control interaction (SSCI), has been detected worldwide in recent years. 2 Without the involvement of mechanical components, rapidly developing SSCI can lead to serious equipment damage and loss of power generation if proper countermeasures are not taken instantly. Furthermore, many studies have demonstrated that doubly fed induction generator (DFIG) wind farms are susceptible to SSCI due to the active participation of fast-acting converter control. 3,4 Therefore, it is urgent to develop effective SSCI mitigation techniques to ensure the safe operation of grid-connected DFIG-based wind farms.The design of SSCI damping controls has received much attention from industry and academia. A number of control methods using FACTS devices are proposed to mitigate SSCI, such as gate-controlled series capacitor (GCSC), 5 thyristor-controlled series capacitor (TCSC), 6 and static synchronous compensator (STATCOM). 7 As compared with FACTS-based damping controls, modification of wind turbine converter (WTC) control is an economical and convenient solution to SSCI. Since grid-side converter (GSC) has the damping capability similar to STATCOM with an extra advantage of lower cost, various damping methods are proposed based on the improvement of existing GSC control. A washout block is embedded into GSC stator voltage control for SSCI mitigation. 8 A supplemental damping signal is added to the summing junction of GSC's outer control. 9 GSC's d-axis inner control loop is also utilized to alleviate SSCI with speed deviation as input control signal (ICS). 10 GSC provides the greater flexibility of adding SSCI damping controls, but its damping capability is limited to 30% of...

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Fractional‐order sliding mode control for damping of subsynchronous control interaction in DFIG‐based wind farms

Xiong

Wang

et al. 2019

Wind Energy

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“…Most recently, similar to the uses of the fractional calculus (FC) concepts in other conventional methodologies [23,24], the fractional order is incorporated for extension of the simple classic version of the SMC, so that the degree of flexibility is enhanced. A few types of studies have been published for the application of the fractional order SMC (FOSMC) in engineering applications [25,26].…”

Section: Introductionmentioning

confidence: 99%

Optimal Non-Integer Sliding Mode Control for Frequency Regulation in Stand-Alone Modern Power Grids

Esfahani¹,

Roohi

Gheisarnejad

et al. 2019

Applied Sciences

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In this paper, the concept of fractional calculus (FC) is introduced into the sliding mode control (SMC), named fractional order SMC (FOSMC), for the load frequency control (LFC) of an islanded microgrid (MG). The studied MG is constructed from different autonomous generation components such as diesel engines, renewable sources, and storage devices, which are optimally planned to benefit customers. The coefficients embedded in the FOSMC structure play a vital role in the quality of controller commands, so there is a need for a powerful heuristic methodology in the LFC study to adjust the design coefficients in such a way that better transient output may be achieved for resistance to renewable sources fluctuations. Accordingly, the Sine Cosine algorithm (SCA) is effectively combined with the harmony search (HS) for the optimal setting of the controller coefficients. The Lyapunov function based on the FOSMC is formulated to guarantee the stability of the LFC mechanism for the test MG. Finally, the hardware-in-the-loop (HIL) experiments are carried out to ensure that the suggested controller can suppress the frequency fluctuations effectively, and that it provides more robust MG responses in comparison with the prior art techniques.

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“…Recently, the use of doubly fed induction generator in global wind farms is very important because of its high performance in terms of systematic low cost, high energy efficiency, operating over a wide range of speed variation and extracting the maximum amount of power available [1][2][3][4][5]. In principle, the performance of the control system and the accuracy and response of the dynamic control system can be strongly influenced by factors such as changes in model variables, measurement errors, an online control system, load conditions and non-linearity.…”

Section: Introductionmentioning

confidence: 99%

Sliding Control with Fuzzy Type-2 Controller of Wind Energy System Based on Doubly Fed Induction Generator

Zouggar¹,

Chaouch²,

Abdeslam³

et al. 2019

I2M

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The wind system based on double-fed induction generator (DFIG) has become a very important source of energy. To ensure the proper functioning of this system, many improved control algorithms have been developed for the rotor side converter (RSC). This article presents the analysis and design of a double-fed induction generator (DFIG) control technique based on coupling the type-2 fuzzy logic control with the sliding mode control (SMC). For the design of this technique, a decoupled modeling of the DFIG with the orientation of its stator flow is presented. The main purpose of the proposed technique is to make a control to meter the quantities of the powers produced by DFIG which are injected into the electrical network and to reduce the phenomenon of chattering which depends on control by sliding mode. This command has allowed us to reduce the chattering phenomenon and improve the performance of the system in terms of speed monitoring and stator side powers regulation. Simulations are performed using MATLAB / Simulink to validate the effectiveness of the proposed control algorithm. The simulation results, obtained when applying this control strategy to the system, demonstrated the validity of the results and thus validated the high performance of this control technique.

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Fractional Order Sliding Mode Based Direct Power Control of Grid-Connected DFIG

Cited by 86 publications

References 34 publications

Fractional‐order sliding mode control for damping of subsynchronous control interaction in DFIG‐based wind farms

Fractional‐order sliding mode control for damping of subsynchronous control interaction in DFIG‐based wind farms

Optimal Non-Integer Sliding Mode Control for Frequency Regulation in Stand-Alone Modern Power Grids

Sliding Control with Fuzzy Type-2 Controller of Wind Energy System Based on Doubly Fed Induction Generator

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