Multivariable H2 and H∞ control for a wind energy conversion system: a comparison

Rocha, Ronilson; Coutinho, Gilmar Alves; Ferreira, Alexandre José; Torga, Flávio Allison

doi:10.1590/s1678-58782010000400013

Cited by 10 publications

(15 citation statements)

References 13 publications

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“…Thus, in this section, two models with reduced complexity are developed. In contrast to existing low-complexity WECS models [13]- [15], [27], [28], the model reduction in this paper follows a systematic step by step procedure with well-founded simplification assumptions. requested but possibly saturated voltages.…”

Section: Model Reductionmentioning

confidence: 99%

Full- and Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent Magnet Synchronous Generator

et al. 2018

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Wind energy is an integral part of nowadays energy supply and one of the fastest growing sources of electricity in the world today. Accurate models for wind energy conversion systems (WECSs) are of key interest for the analysis and control design of present and future energy systems. Existing control-oriented WECSs models are subject to unstructured simplifications, which have not been discussed in literature so far. Thus, this technical note presents are thorough derivation of a physical state-space model for permanent magnet synchronous generator WECSs. The physical model considers all dynamic effects that significantly influence the system's power output, including the switching of the power electronics. Alternatively, the model is formulated in the (a, b, c)-and (d, q)-reference frame. Secondly, a complete control and operation management system for the wind regimes II and III and the transition between the regimes is presented. The control takes practical effects such as input saturation and integral windup into account. Thirdly, by a structured model reduction procedure, two state-space models of WECS with reduced complexity are derived: a non-switching model and a non-switching reduced-order model. The validity of the models is illustrated and compared through a numerical simulation study.

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Section: Model Reductionmentioning

confidence: 99%

Full- and Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent Magnet Synchronous Generator

et al. 2018

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“…) En este contexto, los grandes aerogeneradores modernos permiten aplicar técnicas de control que hacen posible un rápido ajuste independiente de cada uno de los ángulos de paso de las palas del rotor (Geyler and Caselitz, 2007), ampliando los objetivos convencionales del control de pitch a la reducción de las cargas de fatiga, en especial mediante una amortiguación activa de las oscilaciones de la torre. En (Rocha et al, 2005), se estudia la aplicación de técnicas de control mutiobjetivo basado en un controlador , y se muestra el potencial para incrementar el amortiguamiento activo del primer modo de flexión axial de la torre y reducir las fluctuaciones 1p en los momentos de flexión de la raíz de las palas.…”

Section: El Control De Generadores Eólicosunclassified

Recursos y sistemas energéticos renovables del entorno marino y sus requerimientos de control

García

Correcher

Quiles

et al. 2016

Revista Iberoamericana de Automática e Informática Industrial R

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En este artículo se presentan una serie de dispositivos generadores de energía renovable procedente del entorno marino, que en los últimos años han despertado creciente interés. En especial se describen los tipos principales de Generadores Eólicos Flotantes, las Turbinas de Corriente Marina y diversos dispositivos basados en Energía Undimotriz. Se destacan los principales requerimientos a considerar bajo el punto de vista de la ingeniería de control, considerando los objetivos de viabilidad económica a alcanzar teniendo en cuenta su estabilidad, fiabilidad y disponibilidad en un medio marino especialmente agresivo, donde las operaciones de mantenimiento resultan especialmente costosas.

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“…However, an inner controller is included in order to produce the power demand from the outer controller and to smoothen out power fluctuations. When interconnecting this inner controller with the generator and converter system, the loop can be represented by a first-order filter of the form (6) in which P e is the active power, Q g,ref is a torque reference, and T 0 is the constant part of the time constant (6). ‡ Note that it is already on a very simple LPV form, i.e.…”

Section: Generator and Converter Systemmentioning

confidence: 99%

“…Previous investigations such as [2][3][4][5][6] have shown that linear, time-invariant methods provide good closed-loop results when observing local behaviour. A natural choice for controller design covering the entire operating envelope is therefore to design linear controllers along a chosen operating trajectory and then to interconnect them in an appropriate way in order to get a control formulation for the entire operating region.…”

mentioning

confidence: 99%

Linear parameter varying control of wind turbines covering both partial load and full load conditions

Østergaard

Stoustrup

Brath

2008

Intl J Robust & Nonlinear

115

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SUMMARYThis paper considers the design of linear parameter varying (LPV) controllers for wind turbines in order to obtain a multivariable control law that covers the entire nominal operating trajectory.The paper first presents a controller structure for selecting a proper operating trajectory as a function of estimated wind speed. The dynamic control law is based on LPV controller synthesis with general parameter dependency by gridding the parameter space.The controller construction can, for medium-to large-scale systems, be difficult from a numerical point of view, because the involved matrix operations tend to be ill-conditioned. The paper proposes a controller construction algorithm together with various remedies for improving the numerical conditioning the algorithm.The proposed algorithm is applied to the design of a LPV controller for wind turbines, and a comparison is made with a controller designed using classical techniques to conclude that an improvement in performance is obtained for the entire operating envelope.

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Multivariable H2 and H∞ control for a wind energy conversion system: a comparison

Abstract: The Wind Energy Conversion System (WECS) is a nonlinear system

Cited by 10 publications

References 13 publications

Full- and Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent Magnet Synchronous Generator

Full- and Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent Magnet Synchronous Generator

Recursos y sistemas energéticos renovables del entorno marino y sus requerimientos de control

Linear parameter varying control of wind turbines covering both partial load and full load conditions

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