A novel-strategy controller design for maximum power extraction in stand-alone windmill systems

Ganjefar, Soheil; Ghasemi, Ali Akbar

doi:10.1016/j.energy.2014.08.024

Cited by 13 publications

(12 citation statements)

References 18 publications

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“…However, for a higher released amount of power margin such a KE, the rotational speed of the wind turbine will be decelerated rapidly. If the energy regain during acceleration is not controlled properly, it may cause another frequency disturbance [23]. So that it is necessary to carry out relevant research on control of both the active power and frequency regulation.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Intelligent Control Method to Improve the Frequency Support Capability of Wind Energy Conversion Systems

2015

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This paper presents a hybrid intelligent control method that enables frequency support control for permanent magnet synchronous generators (PMSGs) wind turbines. The proposed method for a wind energy conversion system (WECS) is designed to have PMSG modeling and full-scale back-to-back insulated-gate bipolar transistor (IGBT) converters comprising the machine and grid side. The controller of the machine side converter (MSC) and the grid side converter (GSC) are designed to achieve maximum power point tracking (MPPT) based on an improved hill climb searching (IHCS) control algorithm and de-loaded (DL) operation to obtain a power margin. Along with this comprehensive control of maximum power tracking mode based on the IHCS, a method for kinetic energy (KE) discharge control of the supporting primary frequency control scheme with DL operation is developed to regulate the short-term frequency response and maintain reliable operation of the power system. The effectiveness of the hybrid intelligent control method is verified by a numerical simulation in PSCAD/EMTDC. Simulation results show that the proposed approach can improve the frequency regulation capability in the power system.

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Section: Introductionmentioning

confidence: 99%

Hybrid Intelligent Control Method to Improve the Frequency Support Capability of Wind Energy Conversion Systems

2015

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“…These equations are called optimal control equations, costate equations, and state equations, respectively, and must be solved together along with proper boundary conditions for the synthesis of optimal control [30]. The cost function (J ) is considered as the electrical power output of PMSG.…”

Section: Control Objectivesmentioning

confidence: 99%

A new method for maximum power extraction using a singular perturbation theory for a PMSG‐based wind turbine

Ganjefar

Mohammadi

2016

Env Prog and Sustain Energy

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This study uses the singular perturbation theory to obtain a reduced‐order subsystem for a wind‐energy conversion system (WECS) based on use of a permanent magnet synchronous generator (PMSG) to extract maximum power from a WECS. The system consists of a variable‐speed wind turbine directly coupled to a PMSG, a diode bridge rectifier, a DC‐to‐DC boost converter, and a battery bank. Singular perturbation theory is used to decompose the dynamic system into slow and fast time scales. The optimal controller is then designed for singular and original systems and applied to the original system to achieve maximum power from a PMSG. Simulations using MatLab/Simulink show the effectiveness of the proposed control strategy for a PMSG based on the singular perturbation theory. © 2016 American Institute of Chemical Engineers Environ Prog, 36: 586–594, 2017

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“…Two basic goals for wind energy conversion system (WECS) can be summarized as increasing its annual energy yield and extending its service life. Generally, in order to achieve the more annual energy production in a wide range of wind speeds, most of the research works regarding maximum power point tracking (MPPT) algorithms have been devoted to the main control strategies [1][2][3]. Boukhezzar et al [4] used a two-mass wind turbine model to deal with the wind power capture optimization problem while restricting transient loads on the drivetrain components.…”

Section: Introductionmentioning

confidence: 99%

Dynamical Analysis and Stabilization of Wind Turbine Drivetrain via Adaptive Fixed‐Time Terminal Sliding Mode Controller

Yang

2019

Mathematical Problems in Engineering

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In order to study the stability of the wind turbine drivetrain in further depth, we present a nonlinear relative rotation mathematical model considering the nonlinear time-varying stiffness and the nonlinear damping force. Meanwhile, the nonlinear dynamics of the model under combined harmonic excitation are studied in detail. And some interesting dynamic phenomena are observed visually. Furthermore, to suppress chaotic oscillation within bounded time independent of initial conditions, a novel adaptive fixed-time terminal sliding mode controller is proposed. The stability of the final closed loop system is guaranteed according to Lyapunov stability theory. Rigorous mathematical analyses are used to prove the validity of the presented approach. Finally, compared with the existing finite-time stability method, simulation results are given to highlight the effectiveness and superiority of the proposed method and verify the theoretical analyses.

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A novel-strategy controller design for maximum power extraction in stand-alone windmill systems

Cited by 13 publications

References 18 publications

Hybrid Intelligent Control Method to Improve the Frequency Support Capability of Wind Energy Conversion Systems

Hybrid Intelligent Control Method to Improve the Frequency Support Capability of Wind Energy Conversion Systems

A new method for maximum power extraction using a singular perturbation theory for a PMSG‐based wind turbine

Dynamical Analysis and Stabilization of Wind Turbine Drivetrain via Adaptive Fixed‐Time Terminal Sliding Mode Controller

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