Back-to-back five-level converters for wind energy conversion system with DC-bus imbalance minimization

Merahi, Farid; Berkouk, El Madjid

doi:10.1016/j.renene.2013.05.001

Cited by 24 publications

(16 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Una de las principales ventajas del CBTB es gestionar de forma independiente el flujo de potencia activa y reactiva entre dos sistemas de corriente alterna de características iguales o diferentes [13]. Asumiendo que el enlace de corriente directa del CBTB es constante y es un sistema espejo, desde la fuente inversora de voltaje (FIV r ) hasta la red eléctrica.…”

Section: Modelado Del Convertidor Back-to-backunclassified

“…El esquema de control del SGE del lado generador incluye un controlador de torque y un regulador de corriente en eje d [3]. La tarea del convertidor lado generador es trabajar principalmente como rectificador; el controlador tiene la función de regular la potencia activa del sistema y obtener la máxima potencia de la turbina eólica [13]. La búsqueda del punto de extracción de máxima potencia se realiza con el esquema de control de torque óptimo.…”

Section: A Esquema De Control Del Convertidor Lado Generadorunclassified

See 1 more Smart Citation

Design and Performance Comparison of PI and Adaptive Current Controllers for a WECS

Aguilar

Tapia

Valderrábano

et al. 2015

IEEE Latin Am. Trans.

View full text Add to dashboard Cite

This work proposes a novel controller in a stationary reference frame for permanent magnet synchronous generator (PMSGs) of grid-connected wind turbines. The wind energy conversion systems (WECS) adopt a Back-To-Back converter system with voltage source inverter (VSI) and a phaselocked loop to track continuously the fundamental frequency and its phase from voltage node that is connected to the system generation. One of the central themes of this paper is the development of a control scheme that uses a B-spline artificial neural network for controllers tuning when the system is subjected to disturbances. The B-spline neural network must be able to enhance the system performance and the online parameters updated can be possible. This work proposes the use of adaptive PI controllers to regulate the current, frequency and DC-link voltage. Results of the dynamic behavior of the whole WECS are presented along with different cases subject to various disturbances. The simulations show the feasibility and robustness of the proposed control schemes for PMSG based wind turbines. 2002. His current research interests are in modeling and control of wind energy systems and motor drives with computational intelligence techniques.

show abstract

Section: Modelado Del Convertidor Back-to-backunclassified

Section: A Esquema De Control Del Convertidor Lado Generadorunclassified

Design and Performance Comparison of PI and Adaptive Current Controllers for a WECS

Aguilar

Tapia

Valderrábano

et al. 2015

IEEE Latin Am. Trans.

View full text Add to dashboard Cite

show abstract

“…Each switch TD ks introduces a connection function F ks that describes its state, such as the following: F ks = 1 if the switch is closed, F ks = 0 if the switch is open (Merahi and Berkouk 2013).…”

Section: Connection Functionsmentioning

confidence: 99%

Modeling and Control of DFIG Through Back-to-Back Five Levels Converters Based on Neuro-Fuzzy Controller

Dida

Benattous²

2015

J Control Autom Electr Syst

View full text Add to dashboard Cite

This paper deals with the power generation control in variable speed wind turbine. In this context, the wind energy conversion system (WECS) is equipped with a doubly fed induction generator (DFIG) and back-to-back five-level neutral-point-clamped converters in the rotor circuit. The modeling and the control of the five-level converter is presented. A vector control of the rotor side converter allows independent control of the stator active and reactive power and optimal speed tracking for maximum power capture from the wind. An adaptive neuro-fuzzy inference system is proposed as alternative of Mamdani type fuzzy controller to improve the robustness and reject any disturbance in the system. Three neuro-fuzzy controllers (NFCs) are used to control the rotational speed, and the stator active and reactive power. Another fuzzy logic system is proposed as a PI gain tuner in the DC-link voltage control loop to improve the dynamic response and robustness of the DC-link voltage control. In purpose to prove the performances of the global system, simulation was carried out in Matlab-Simulink software environment with 1.5MW DFIG-WECS.

show abstract

“…The standard power electronic interface used with DFIG is two back-to-back voltage source inverters (VSI) with an intermediate dc link and capacitor (Merahi and Berkouk 2013). This demands a complicated control strategy and bulky dc link capacitor.…”

Section: Introductionmentioning

confidence: 99%

“…(Merahi and Berkouk 2013). This recently developed silicon based ac-ac converter has the advantage of sinusoidal input and output current without using passive component in the dc link.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of operational losses in matrix converter fed DFIG for WECS

Ashfaq

Tripathi

2015

Renewables

View full text Add to dashboard Cite

With the change in the wind profile, the speed of doubly fed induction generator (DFIG) of wind energy conversion system (WECS) changes from super synchronous to sub synchronous range and vice versa. DFIG is operated to generate quality power; hence, power at rotor side is controlled using matrix converter taking power from grid and feeding back power to the grid depending on the wind profile. Input voltage required to be fed to the rotor side of DFIG is always changing and depends on the speed of the available wind. During the operation when power is fed from grid to rotor of DFIG, a high-voltage stress continues across the switches of power electronic converter (PEC). In existing topologies of the matrix converter used with the DFIG in WECS, the constant voltage stress at the power electronic switch (PES) is available which causes the higher losses across the switch. This also causes common mode voltage (CMV) which leads to the over voltage stress. This may cause winding insulation damage and bearing failure of the DFIG. Furthermore, higher dv/dt of CMV raises the leakage current which causes the thermal stress and electromagnetic noise to the equipments installed near the matrix converter. In this paper, the work done is focused on the mitigation of operational losses in matrix converter fed doubly fed induction generator for wind energy conversion system. The overall loss in the matrix converter and mitigation of common mode voltage is achieved, which improves the overall efficiency and the performance of the wind energy conversion system.

show abstract

Back-to-back five-level converters for wind energy conversion system with DC-bus imbalance minimization

Cited by 24 publications

References 23 publications

Design and Performance Comparison of PI and Adaptive Current Controllers for a WECS

Design and Performance Comparison of PI and Adaptive Current Controllers for a WECS

Modeling and Control of DFIG Through Back-to-Back Five Levels Converters Based on Neuro-Fuzzy Controller

Mitigation of operational losses in matrix converter fed DFIG for WECS

Contact Info

Product

Resources

About