Design and Experimental Validation of a Digital Predictive Controller for Variable-Speed Wind Turbine Systems

Babes, Badreddine; Rahmani, Lazhar; Chaoui, Abdelmadjid; Hamouda, Noureddine

doi:10.6113/jpe.2017.17.1.232

Cited by 23 publications

(13 citation statements)

References 14 publications

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“…In the intent to enrich and broad this study, the proposed method has been compared with another method based on a traditional PI controller as shown in Figure , where the generator speed reference is determined by the following equation:

ω_{ref} = K_{opt} v

where

K_{opt} = \frac{λ_{italicopt}}{R}

…”

Section: Resultsmentioning

confidence: 99%

Fuzzy-logic peak current control strategy for extracting maximum power of small wind power generators

Bendaoud¹,

Ladide²,

Fathi³

et al. 2018

Int Trans Electr Energ Syst

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Summary A fuzzy logic peak current control is proposed to extract the maximum power from a wind turbine and reduce the total harmonic distortion of the generator current. This system uses a permanent magnet synchronous generator and a boost rectifier operating in discontinuous conduction mode (DCM). The proposed method includes a fuzzy logic controller, used for deriving the optimum value of DC‐side current, that will be used as reference for the peak current controller. A simulation study is done to verify the validation of the proposed method, also to show the advantages of the system designed to operate in DCM compared with that designed to operate in CCM.

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ω_{ref} = K_{opt} v

where

K_{opt} = \frac{λ_{italicopt}}{R}

…”

Section: Resultsmentioning

confidence: 99%

Fuzzy-logic peak current control strategy for extracting maximum power of small wind power generators

Bendaoud¹,

Ladide²,

Fathi³

et al. 2018

Int Trans Electr Energ Syst

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“…Fig. I shows a PMSG connected to the power grid with a back-to-back converter [25], [27]. The electrical and mechanical equations that describe the behavior of the dynamics in values per-unit of a PMSG are given by…”

Section: B Permanent Magnet Synchronous Generatormentioning

confidence: 99%

Passivity-Based Control for Small Hydro-Power Generation With PMSG and VSC

2020

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This paper presents a passivity-based control method for a small hydro-power system that consists of a permanent magnet synchronous generator (PSMG) connected to the grid through a back-toback converter. Nonlinear models of the hydraulic, mechanical, and electrical parts of the small hydro-power system are considered. Two approaches in the realm of passivity-based control are implemented, namely, standard passivity-based control and PI-passive. These controls consider the intrinsic characteristics of the model, which has a port-Hamiltonian (pH) structure with a small hydro-power system in open-loop. The purpose is to design a control law with passive output which ensures asymptotic stability for closed-loop operation in the sense of Lyapunov's theory. The paper is practically oriented, and hence, the proposed controllers are tested and compared with a conventional approach, in a 13.2 kV distribution feeder. The proposed controllers have been assessed and compared with a classical PI controller considering steady state and transient behaviors in small hydro-power plants (SHPs). Simulation results show that the proposed methodology guarantees stability and offers better dynamical performance. INDEX TERMS Small hydro-power, permanent magnet synchronous generation (PMSG), energy conversion power systems, passivity, back-to-back converter.

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“…Model‐based predictive controls (MPCs) provide many advantages to GSCs [1–3] such as fast dynamic response, superb reference tracking and low ripple in the currents. Nevertheless, they are sensitive to variations in the parameters of the model on which they are based, such as the filter inductance, grid voltage etc.…”

Section: Introductionmentioning

confidence: 99%

Linear multi‐vector model‐based predictive control for grid side converters of renewable power plants under severe grid disturbances

Ramirez

Castillo

Zarei

et al. 2021

IET Renewable Power Gen

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Grid side converters of renewable power plants have to be capable of dealing with severe grid disturbances, such as, grid faults and voltage sags. Model‐based predictive control provides outstanding performance to grid side converters: fast dynamic response, good tracking error and high‐quality currents. However, choosing the best set of vectors for the modulation requires assessing all the possible combinations of vectors using a cost function, which is very time consuming. Thus, the modulation is normally carried out with only 1 or 2 vectors per PWM period to save computing time, but this turns the modulation non‐linear. This lack of linearity makes it impossible to use symmetrical components in unbalanced grids. A linear multi‐vector model‐based predictive control that controls the power of both sequences using a sole cost function and analyses the effect of the transient response of several sequence decomposition systems on the model‐based predictive control predictions and dynamic response is proposed. Moreover, the proposed multi‐vector provides low THD currents while keeping the computing time low. In addition, the paper addresses the extrapolation of the proposed multi‐vector model‐based predictive control to N‐level converters. The good performance obtained is supported by the results obtained in simulations and the laboratory.

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Design and Experimental Validation of a Digital Predictive Controller for Variable-Speed Wind Turbine Systems

Cited by 23 publications

References 14 publications

Fuzzy-logic peak current control strategy for extracting maximum power of small wind power generators

Fuzzy-logic peak current control strategy for extracting maximum power of small wind power generators

Passivity-Based Control for Small Hydro-Power Generation With PMSG and VSC

Linear multi‐vector model‐based predictive control for grid side converters of renewable power plants under severe grid disturbances

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