Maximum Power Point Tracking in Grid Connected Wind Plant by Using Intelligent Controller and Switched Reluctance Generator

Rahmanian, Ehsan; Akbari, H.; Sheisi, Gholam Hossein

doi:10.1109/tste.2017.2678679

Cited by 65 publications

(35 citation statements)

References 22 publications

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“…It can be seen from Figure 1 that the gain of the proposed FERL method is small enough near the switching surface to limit the chattering phenomenon. As S grows larger, the gain of FERL grows much faster than the ERL method and tends to grow linearly when S is large enough, which is in accordance with the result of Equation (14). And a basic fact is that the larger the sliding mode gain grows, the faster will the reaching procedure become.…”

Section: Ferl Approach Based Smcsupporting

confidence: 76%

“…It can be seen from Equation (14) when |S| grows larger, the gain in the front of the sign function approaches negative infinity, which makes the attraction of the sliding surface much faster than that of the ERL method proposed in [37]. Meanwhile, when S reaches the sliding surface and |S| = 0, then:…”

Section: Ferl Approach Based Smcmentioning

confidence: 99%

“…Linear control approaches include the direct power control (DPC) [19], proportional integral (PI)-based pitch control [13] and linear quadratic Gaussian (LQS) approach [14]. However, most electrical components possess nonlinear behaviors and the dynamic properties of grid-connected WECS bring about parameter perturbations and external disturbances, which call for high robustness of the nonlinear control approach.…”

mentioning

confidence: 99%

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Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

Xiong

et al. 2017

Energies

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This paper proposes a novel sliding mode control (SMC) technique for doubly fed induction generators (DFIGs) based on the fast exponential reaching law (FERL). The proposed FERL-based SMC is capable of reducing to a large extent the chattering phenomena existing in the sliding stage. Meanwhile, the reaching stage is accelerated with the introduction of an adaptive gain. The proposed method is employed in a DFIG-based wind energy conversion system (WECS) for direct power control (DPC). The FERL-based DPC approach is tested with simulations conducted in Matlab/Simulink under the scenarios of unbalanced grid voltage, grid fault conditions and highly unstable wind speed accompanied by an experimental study. The simulations and experimental results reveal the better performance of the proposed control method in active/reactive power tracking and dc-link voltage maintenance.

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Section: Ferl Approach Based Smcsupporting

confidence: 76%

Section: Ferl Approach Based Smcmentioning

confidence: 99%

mentioning

confidence: 99%

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Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

Xiong

et al. 2017

Energies

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“…where Fig. 2 shows a typical power coefficient ( C p ) versus curve for several values of pitch angle (β) In a WTS, there is one optimal value of Tip Speed Ratio ( λ opt ) for the power coefficient to take its maximum, which is in the following position (C p,max ≈ 0.479, λ opt ≈ 8.1) [24].…”

Section: Wind Turbine Modelingmentioning

confidence: 99%

Adaptive Maximum Power Control Based on Optimum Torque Method for Wind Turbine by Using Fuzzy-Logic Adaption Mechanisms during Partial Load Operation

Saidi¹,

Mezouar²,

Miloud³

et al. 2020

Period. Polytech. Elec. Eng. Comp. Sci.

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This paper aims to increase the effectiveness of the Maximum Power Control (MPC) strategy by using a new Adaptive Maximum Power Control method (AMPC) for maximizing the power delivered by the Wind Turbine System (WTS) during partial load operation whatever the disturbances caused by variations in wind profile. The AMPC is applied to one of the frequently used Maximum Power Point Tracking (MPPT) methods called as Optimum Torque (OT) MPPT algorithm. Furthermore, the proposed AMPC strategy aims to optimize the wind energy captured by the WTS during partial load operation under rating wind speed, using Fuzzy-Logic as Adaption Mechanisms (AMPC- FLC). Additionally, the performances of the proposed improved OT-MPPT method based on AMPC-FLC are compared to the OT-MPPT method based on Conventional Maximum Power Control (CMPC-PI) under the same conditions. The robustness, dynamic performance, and fast approximation of the optimal value are proved with the numerical simulations under MATLAB/Simulink® software.

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“…A suited converter for switched-reluctance machine generating quasi-square winding current waveform is needed. The surveys for SRM converters can be found in [21][22][23][24]. The asymmetric bridge converter with 2N (N = phase number) switches possesses the most flexible winding current PWM switching control capability.…”

Section: Introductionmentioning

confidence: 99%

Driving Control Technologies of New High-Efficient Motors

Liaw¹,

Lu²,

Jhou³

et al. 2020

Applied Electromechanical Devices and Machines for Electric Mobility Solutions

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Although switched-reluctance machine (SRM) possesses many structural advantages and application potential, it is rather difficult to successfully control with high performance being comparable to other machines. Many critical affairs must be properly treated to obtain the improved operating characteristics. This chapter presents the basic and key technologies of switched-reluctance machine in motor and generator operations. The contents in this chapter include: (1) structures and governing equations of SRM; (2) some commonly used SRM converters;(3) estimation of key parameters and performance evaluation of SRM drive; (4) commutation scheme, current control scheme, and speed control scheme of SRM drive; (5) some commonly used front-end converters and their operation controls for SRM drive; (6) reversible and regenerative braking operation controls for SRM drive; (7) some tuning issues for SRM drive; (8) operation control and some tuning issues of switched-reluctance generators; and (9) experimental application exploration for SRM systems: (a) wind generator and microgrid; (b) EV SRM drive.

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Maximum Power Point Tracking in Grid Connected Wind Plant by Using Intelligent Controller and Switched Reluctance Generator

Cited by 65 publications

References 22 publications

Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

Adaptive Maximum Power Control Based on Optimum Torque Method for Wind Turbine by Using Fuzzy-Logic Adaption Mechanisms during Partial Load Operation

Driving Control Technologies of New High-Efficient Motors

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