Robust control of a HESG for a wind energy application

Mseddi, Amina; Ballois, Sandrine Le; Aloui, Helmi; Vido, L.

doi:10.1016/j.epsr.2018.12.004

Cited by 16 publications

(18 citation statements)

References 6 publications

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“…System (1) provides the inductances for the stator and the flux. It should be noted that the mathematical model for only phase "a" is presented [22].…”

Section: Determination Of Electrical Parameters: Experimental Approachmentioning

confidence: 99%

Advanced modeling and control of wind conversion systems based on hybrid generators using fractional order controllers

Mseddi,

Wali,

Abid

et al. 2024

Asian Journal of Control

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The focus of this study is on modeling and management of a Wind Energy Conversion System (WECS) based on a Hybrid Excitation Synchronous Generator (HESG). Using a wind simulator, two controllers, CRONE and H∞, are evaluated for Maximum Power Point Tracking (MPPT) and optimal rotation speed. The results show the CRONE controller's higher tracking capability, and robustness tests investigate the influence of parametric uncertainty. Space harmonic effects, commutation effects, and turbine shaft flexibility are all addressed in the sophisticated models. The introduction of Fractional Order Proportional‐Integral (FOPI) control for MPPT is a game changer. Although fractional calculus‐based accuracy and robustness are uncommon in WECS, they show promise for emissions reduction and increased energy efficiency. This work validates a dependable control approach inside an isolated HESG‐based WECS's power‐maximizing range. Extensive investigation of the parameters impacting FOPI control efficiency yields useful insights for effective MPPT control. A variable‐speed wind turbine (WT) is linked to a HESG through a multiplier, with a controller controlling generator coil excitation voltages and a rectifier connecting the WECS to a load. A thorough 3 kW HESG electrical model that includes generator space harmonics and converter commutation effects is among the contributions. For HESG‐based WECS stability, frequency analysis finds important resonant and anti‐resonant frequencies. These issues are addressed by a FOPI control technique, which ensures system stability and performance. The necessity of exact frequency analysis in HESG‐based WECS is highlighted by a step‐by‐step controller parameter tuning approach.

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“…System (1) provides the inductances for the stator and the flux. It should be noted that the mathematical model for only phase "a" is presented [22].…”

Section: Determination Of Electrical Parameters: Experimental Approachmentioning

confidence: 99%

Advanced modeling and control of wind conversion systems based on hybrid generators using fractional order controllers

Mseddi,

Wali,

Abid

et al. 2024

Asian Journal of Control

Self Cite

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“…Traction motor inter-turn fault analysis has been done using the MRA of DWTbased skewness, kurtosis and RMS value optimisation [23]. A stepby-step H − ∞, PI controller-based and DC matching-based operating scheme has been viewed for a solar-wind hybrid generation system condition monitoring [24,25]. A statistical timeseries analysis and artificial intelligence-based optimisation have been done for a solar-wind hybrid microgrid for energy supply and efficiency calculation [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Fault analysis in solar–wind microgrid using multi‐resolution analysis and Stockwell transform‐based statistical analysis

Ray

Chattopadhyay

2020

IET Science, Measurement & Technology

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“…Thus, the problem of wind turbine control is converted as multiobjective tracking control of a multivariable system, nonlinear and strongly dependent on a stochastic input represented by the wind speed To solve these problems, many strategies have been proposed, among them, we can quote the use of PI controllers with a fixed gains [3], or controllers designed from the fuzzy logic approach [4,5,6]. Other optimal control law has been developed from a linearized model over different operation zone, such as the LQG control [7,8,9] or the robust control which minimizing a H∞ criterion [10,11,12] Currently, TS approach is considered as a very useful tool for modeling non-linear systems, being based on the decomposition of the dynamic behavior of the system into several operating zones, each characterized by a sub-model of reduced complexity [13,14,15,16,17]. In this context, several works have been proposed to solve the problem of maximum power point tracking control applied to the wind turbine system [18,19,20,21,22,23].…”

Section: Introductionmentioning

confidence: 99%

A Novel fuzzy Control Strategy for Maximum Power Point Tracking of Wind Energy Conversion System

et al. 2019

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This paper presents a novel fuzzy control strategy for maximum power tracking of Wind Energy Conversion System (WECS) using a Permanent Magnet Synchronous Generator (PMSG) supplying a DC load through a AC/DC converter. The proposed fuzzy controller allows to extract the maximum power from the wind turbine which leads to an optimal operation of the WECS. First, the dynamics behaviour of the (WECS) is represented by a Takagi Sugeno (T-S) fuzzy model. Then, a reference model-based tracking controller is proposed to achieve a maximum power point tracking even when we consider varying wind speed profile. The controller gains are calculated by solving Linear Matrix Inequalities (LMIs). Finally, simulation results are presented to illustrate the effectiveness of the proposed approach.

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Robust control of a HESG for a wind energy application

Cited by 16 publications

References 6 publications

Advanced modeling and control of wind conversion systems based on hybrid generators using fractional order controllers

Advanced modeling and control of wind conversion systems based on hybrid generators using fractional order controllers

Fault analysis in solar–wind microgrid using multi‐resolution analysis and Stockwell transform‐based statistical analysis

A Novel fuzzy Control Strategy for Maximum Power Point Tracking of Wind Energy Conversion System

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