Efficient Field Oriented Control with power losses optimisation of a six-phase induction generator for wind turbines

Pantea, Alin; Sivert, Arnaud; Yazidi, A.; Bétin, F.; Carriere, S.; Capolino, Gérard‐André

doi:10.1109/iecon.2016.7793988

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…To integrate 6phase dual star induction generators in the main electricity grid, two three-phase AC/DC converters can be used, each connected with one of the stator's three-phase windings [18][19][20]. Due to the nonlinearities and multivariable structure of the associated state-space model the control and stabilization problem of 6-phase DSIGs is nontrivial [21][22][23][24]. Several attempts have been made to develop model-based control schemes for 6-phase DSIGs and to demonstrate robustness of the associated control loops to model uncertainty and perturbations [25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Optimal Control for Six-Phase Induction Generator-Based Renewable Energy Systems

Rigatos¹,

Abbaszadeh²,

Sari³

et al. 2023

J Energ Power Technol

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The article aims at optimizing six-phase induction generator-based renewable energy systems (6-phase IGs or dual star induction generators) through a novel nonlinear optimal control method. Six-phase induction generators appear to be advantageous compared to three-phase synchronous or asynchronous power generators, in terms of fault tolerance and improved power generation rates. The dynamic model of the six-phase induction generator is first written in a nonlinear and multivariable state-space form. It is proven that this model is differentially flat. The 6-phase IG is approximately linearized around a temporary operating point recomputed at each sampling interval to design the optimal controller. The linearization is based on first-order Taylor series expansion and the Jacobian matrices of the state-space model of the 6-phase IG. A stabilizing optimal (H-infinity) feedback controller is designed for the linearized state-space description of the six-phase IG. The feedback gains of the controller are computed by solving an algebraic Riccati equation at each iteration of the control method. Lyapunov analysis is used to demonstrate global stability for the control loop. The H-infinity Kalman Filter is also used as a robust state estimator, which allows for implementing sensorless control for 6-phase IG-based renewable energy systems. The nonlinear optimal control method achieves fast and accurate tracking of setpoints by the state variables of the 6-phase IG, under moderate variations of the control inputs.

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Section: Introductionmentioning

confidence: 99%

Nonlinear Optimal Control for Six-Phase Induction Generator-Based Renewable Energy Systems

Rigatos¹,

Abbaszadeh²,

Sari³

et al. 2023

J Energ Power Technol

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“…In [5] the authors have used the scalar command to control a dual-power asynchronous generator (GADA), for isolated regions using wind energy, simulation and experimental results in the face of variations in wind speed have shown that the application of GADA gives good performance. In [6] the authors presented an experimental study on vector control. It is efficient for optimizing the energy production of a wind turbine conversion chain based on the hexaphase asynchronous generator.…”

Section: Introductionmentioning

confidence: 99%

Standalone photovoltaic array fed induction motor driven water pumping system

Loubna

Toufouti

Meziane

2020

IJECE

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Due to the absence of energy transmission lines connected to the water pumping sites in remote areas, problems related to the electrical power outages and the environmental degradation caused by fossil fuel. For this one of the most conceived solutions is the photovoltaic water pumping technology which has the advantage of being sustainable and respectful of the environment to supply water to rural areas. To ensure the need of water, especially for domestic use and small communities, in this article, the photovoltaic energy system for autonomous water pumping using the induction motor was presented, particularly adapted to the isolated regions. Pumping system consists of four photovoltaic (PV) panels, boost converter, inverter, induction motor, centrifugal pump and a storage tank. In this study, the output power of a PV solar cell is fully used by proposing the P&O algorithm, where it is used to follow a maximum power point tracking (MPPT) technique. The recommended system is designed, modeled and simulated on the MATLAB/Simulink platform. The efficiency of the proposed algorithm is observed with variable solar sunshine.

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“…Power electronic converters, that is, back‐to‐back converter which comprises rotor side converter and stator (load) side converter are used for interfacing DG to the stand‐alone load or grid . Various control topologies, that is, direct torque control, sensor‐less control, and field‐oriented control has been suggested in the literatures to generate gate pulses for these DFIG‐based DG units. These control topologies predominantly prefer speed and flux control for machine side converter (MSC) and dc‐link voltage control for load side converter (LSC).…”

Section: Introductionmentioning

confidence: 99%

Control of a stand‐alone distributed generation system with unbalanced and nonlinear load

Mishra

Saha

2020

Int Trans Electr Energ Syst

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Control of a stand‐alone squirrel cage induction generator‐based distributed generation system with variable linear, nonlinear, and unbalanced loads is developed in this paper. The combined control developed in the work is using both the load and machine side converter to meet the required objectives. The control structure is intended to get rid of the harmonic component for the duration of nonlinear loading, and to confiscate the negative (backward) sequence component during unbalance loading. The magnitude and frequency of output voltage are maintained during these conditions, as well as with step increment in linear load. A back‐to‐back converter is used to implement the combined control in this work. The control algorithm of generator side converter is to match the input power level with the demand. The major operations performed with the control covers (a) 100% increment of linear load, (b) 47.2% unbalanced load, and (c) complete shift to nonlinear load.

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Efficient Field Oriented Control with power losses optimisation of a six-phase induction generator for wind turbines

Cited by 6 publications

References 11 publications

Nonlinear Optimal Control for Six-Phase Induction Generator-Based Renewable Energy Systems

Nonlinear Optimal Control for Six-Phase Induction Generator-Based Renewable Energy Systems

Standalone photovoltaic array fed induction motor driven water pumping system

Control of a stand‐alone distributed generation system with unbalanced and nonlinear load

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