Performances MPPT Enhancement in PMSG Wind Turbine System Using Fuzzy Logic Control

Fannakh, Mhamed; Elhafyani, Mohamed Larbi; Zouggar, Smail; Zahboune, Hassan

doi:10.1007/978-981-15-6259-4_84

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…In order to extract the maximum wind power, the wind turbine needs to be set to run in a mode that allows its rotational speed to change depending on the wind speed. Accomplishing this requires incorporating the MPEA with a controlling scheme which in turn seeks the optimal rotational speed ω m−opt and sends information to the GSR controller to alter the WT operates in accordance with the trajectory of MPEA [44].…”

Section: A Ppt-mpe Algorithmmentioning

confidence: 99%

Coordination of Enhanced Control Schemes for Optimal Operation and Ancillary Services of Grid-Tied VSWT System

et al. 2023

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Wind power's increasing use and its integration into the utility grid have prompted scholars to focus more on the refinement of wind power harvesting systems, injecting stable power and providing ancillary services to the utility grid. This article introduces a novel hybrid approach termed as sine cosine algorithm and transient search optimization (HSCATSO) optimizer of better exploration and exploitation phases for optimal designing the power electronic converter control schemes (PECCS) of the grid-tied variable speed wind turbine (VSWT) system. The PECCS is simultaneously coordinated with a robust maximum power extraction algorithm (MPEA) to form enhanced control systems for achieving the best wind harnessing, improving the VSWT system performance, and supporting the utility grid stability. In this context, the HSCATSO optimally designs the PECCS parameters based on minimizing the summation of integral squared error (ISE) of multiple error signals in the developed control schemes in coordination with the MPEA. The superiority of the HSCATSO optimizer is validated using twenty benchmark functions and statistically analysed against four well-known optimization algorithms. Meanwhile, the effectiveness of the optimally designed PECCS using the HSCATSO is verified by the extensive simulation analysis in MATLAB/Simulink considering severe grid disturbance and real wind speed data taken from Kudat, Sabah, Malaysia to mimic realistic circumstances. The obtained results have been compared with that realized using the other algorithms-based design PECCS. The simulation outcomes affirmed that the PECCS designed by the HSCATSO and coordinated with MPEA resulted in higher power harvesting and enhanced the grid-tied VSWT system stability better than the competitive control schemes.INDEX TERMS Power electronic converter control, PMSG, MPPT, maximum power extraction, PI controller tuning, wind power, sine cosine algorithm, transient search optimization, WECS, VSWT system.

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Section: A Ppt-mpe Algorithmmentioning

confidence: 99%

Coordination of Enhanced Control Schemes for Optimal Operation and Ancillary Services of Grid-Tied VSWT System

et al. 2023

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“…The MPPT algorithm tracks the optimal rotational speed ω m−opt at a given wind speed and provides the information to the MSC controller. Subsequently, the MSC controller drives the WT following the MPP trajectory [45]. In the conventional MPPT approach, the ω m−opt of the WT rotor for each wind speed can be computed by Equation ( 10) [46].…”

Section: Control Schemes Of the Fcbtbcmentioning

confidence: 99%

Towards Enhancing the Performance of Grid-Tied VSWT via Adopting Sine Cosine Algorithm-Based Optimal Control Scheme

et al. 2021

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The expanding trend of wind power technology motivates scholars to pursue more investigation on optimising energy extraction from the wind and integrating high-quality power into the utility grid. This paper is aimed at introducing a novel application of the sine cosine algorithm (SCA) which attempts to find the optimal gains of proportional-integral (PI) controllers used to control the power electronic converter (PEC) equipped with the Variable speed Wind turbine (VSWT) such that a maximum power extraction and performance enhancement can be realized. The PEC equipped with the VSWT combines a machine side converter (MSC) and a grid-side inverter (GSI). Both the MSC and GSI are controlled by the proposed SCA-based PI controllers through cascaded vector control schemes. The MSC is responsible for controlling the wind generator's rotational speed, active power, and reactive power. The GSI is used to regulate the dc-link voltage and to keep the terminal voltage at the desired frame set by the operator. To obtain the optimum PI gains, the SCA is applied to minimize the sum of the integral squared error (ISE) of twelve PI controllers error inputs in the control schemes simultaneously. Performances of the proposed SCA-PI control schemes are assessed under severe grid disturbance and random wind speed variation to mimic more realistic conditions. The effectiveness of the proposed SCA-PI is verified in the MATLAB/Simulink environment, and the results are compared to those obtained using a grey wolf optimizer and particle swarm algorithm-based optimal PI controller. The simulation findings confirm the SCA-PI can be regarded as an efficacious way to enhance the performance of the VSWT.INDEX TERMS Wind turbine control, power electronic converter, MPPT, PMSG, PI controller, sine cosine algorithm.

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“…In the interest of reducing the system price, by eliminating the wind speed sensor, a wind-sensorless MPPT strategy based on the HCS technique [18] and fuzzy logic approach [19] as already proposed in our work [20]. As previously mentioned, the command objective is to force the generator to operate at an optimal speed.…”

Section: Figure 3 Wind Turbine Power Characteristicsmentioning

confidence: 99%

Overall fuzzy logic control strategy of direct driven PMSG wind turbine connected to grid

Fannakh¹,

Elhafyani²,

Zouggar³

et al. 2021

IJECE

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The fuzzy logic strategies reported in the literature about the control of direct drive permanent magnet synchronous generator (PMSG) connected to grid are limited in terms of inclusiveness and efficiency. So an overall control based on fuzzy logic and anti-windup compensation is proposed in this paper. Aiming at the inadequate of hill climb search (HCS) MPPT with fixed step size, the fuzzy logic is introduced in the stage of "generating rotor speed reference" to overcome the oscillations and slowness in traditional method. PI controllers are replaced by anti-windup fuzzy logic controllers in the "machine side control" stage and in "grid side control" stage to pertinently regulate the reference parameters. Then comparison tests with classical methods are implemented under varying climatic conditions. The results obtained demonstrate that the developed control is superior to other methods in response time (less than 4.528E-04 s), precision (an overshoot about 0.41%) and quality of produced energy (efficiency is 91%). The study verifying the feasibility and effectiveness of this algorithm in PMSG wind turbine connected to grid.

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Performances MPPT Enhancement in PMSG Wind Turbine System Using Fuzzy Logic Control

Cited by 4 publications

References 7 publications

Coordination of Enhanced Control Schemes for Optimal Operation and Ancillary Services of Grid-Tied VSWT System

Coordination of Enhanced Control Schemes for Optimal Operation and Ancillary Services of Grid-Tied VSWT System

Towards Enhancing the Performance of Grid-Tied VSWT via Adopting Sine Cosine Algorithm-Based Optimal Control Scheme

Overall fuzzy logic control strategy of direct driven PMSG wind turbine connected to grid

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