Modeling of a wind turbine with a permanent magnet synchronous generator for real time simulations

Tobías-González, Agustín; Gallardo, Rafael Peña; Morales-Saldaña, J.A.; Gutiérrez-Urueta, G.

doi:10.1109/ropec.2015.7395143

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…Typically, the equation used to calculate the mechanical power extracted (P w ) from wind [33][34][35][36] uses the air density (ρ), the area covered by the wind turbine rotor (A R ), the wind speed (v wind ), and a power coefficient (c p ), which is a function of the tip speed ratio (λ) and the blade pitch angle (β).…”

Section: Modeling Of the Wind Turbinementioning

confidence: 99%

Rapid Prototyping of a Hybrid PV–Wind Generation System Implemented in a Real-Time Digital Simulation Platform and Arduino

Pagola¹,

Capilla

Segundo

et al. 2019

Electronics

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The growing penetration of generation systems based on renewable energy in electric power systems is undeniable. These generation systems have many benefits, but also many challenges from the technical point of view. One of the biggest problems in the case of solar photovoltaic (PV) and wind energy is the intermittency of the raw material, thus hybrid generation systems that contain both sources are being used to complement electric power generation. To analyze the problems of this type of hybrid generation systems, it is necessary to develop models and test systems that allows to study their dynamic behavior. Reported in this paper is the implementation of a full hybrid PV–wind generation system model in a real-time digital simulation platform, and the development of the electronic converter controls. These controllers were implemented in digital devices (Arduino Due) and connected to the simulation platform to test their performance in real-time. In addition, the procedure followed for the development and implementation of the controllers is presented. The proposed test system can be used in renewable energy integration studies and the development of new control strategies.

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Section: Modeling Of the Wind Turbinementioning

confidence: 99%

Rapid Prototyping of a Hybrid PV–Wind Generation System Implemented in a Real-Time Digital Simulation Platform and Arduino

Pagola¹,

Capilla

Segundo

et al. 2019

Electronics

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“…However, the switching behavior of the power electronics components are not considered explicitly. In [11], [24] simulation models which precisely describe the dynamics of the WECS, including the switching of the power electronics in the synchronous reference frame, are presented. However, the models are not given in closed-form representation which hampers their application to control design.…”

Section: Introductionmentioning

confidence: 99%

“…There have been many simulation studies investigating the impact of WECSs to power systems [3]- [10]. Moreover, WECS models have been used for real-time hardware-in-the-loop simulations [11], [12]. Most notable, the existence of models is indispensable for the design of control and state estimation methods for WECSs [13]- [21].…”

Section: Introductionmentioning

confidence: 99%

“…Since this time, numerous models of fixed-speed and variable-speed WECSs are noted. These models can be classified according to various criteria: (a) generic models [3]- [21], [24]- [42] and manufacturerspecific models [23], [43]; (b) induction generator WECS models [4], [9], [21], [25], [27], [38], [39], doubly fed induction generator WECS models [6], [7], [10], [12], [16], [20], [26], [29]- [31], [35], [43] and synchronous generator WECS models [3], [8], [9], [11], [12], [15], [19], [24]- [26], [28], [33], [34]; (c) high-order models with deep physical insight [8], [12], [15], [16], [19]- [21], [24]- [26] and reduced-order models, where at least one subsystem of the WECS is significantly simplified [13]-…”

Section: Introductionmentioning

confidence: 99%

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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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“…In the 1980s, first WTS models for fixed-speed WTSs were presented [4] and applied to large scale transient stability computer programs [5]. Since that time, there have been numerous models for induction generator (IG) WTSs [6][7][8][9][10], doubly fed induction generator (DFIG) WTSs [11][12][13][14][15][16][17][18][19] and permanent magnet synchronous generator (PMSG) WTSs [5,8,9,18,[20][21][22][23][24][25][26][27]. The above-mentioned models are developed for an application in numerical simulations.…”

Section: Introductionmentioning

confidence: 99%

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

Hackl¹,

Jané-Soneira²,

Pfeifer³

et al. 2018

Preprint

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Full-order state-space models represent the starting point for the development of advanced control methods for wind turbine systems (WTSs). Regarding existing control-oriented WTS models, two research gaps must be noted: (i) There exists no full-order WTS model in form of one overall ordinary differential equation that considers all dynamical effects which significantly influence the electrical power output; (ii) all existing reduced-order WTS models are subject to rather arbitrary simplifications and are not validated against a full-order model. Therefore, in this paper, two full-order nonlinear state-space models (of 11th and 9th-order in the (a, b, c)- and (d, q)-reference frame, resp.) for variable-speed variable-pitch permanent magnet synchronous generator WTSs are derived. The full-order models cover all relevant dynamical effects with significant impact on the system’s power output, including the switching behavior of the power electronic devices. Based on the full-order models, by a step-by-step model reduction procedure, two reduced-order WTS models are deduced: A non-switching (averaging) 7th-order WTS model and a non-switching 3rd-order WTS model. Comparative simulation results reveal that all models capture the dominant system dynamics properly. The full-order models allow for a detailed analysis covering the high frequency oscillations in the instantaneous power output due to the switching in the power converters. The reduced-order models provide a time-averaged instantaneous power output (which still correctly reflects the energy produced by the WTS) and come with a drastically reduced complexity making those models appropriate for large-scale power grid controller design.

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Modeling of a wind turbine with a permanent magnet synchronous generator for real time simulations

Cited by 5 publications

References 10 publications

Rapid Prototyping of a Hybrid PV–Wind Generation System Implemented in a Real-Time Digital Simulation Platform and Arduino

Rapid Prototyping of a Hybrid PV–Wind Generation System Implemented in a Real-Time Digital Simulation Platform and Arduino

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

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

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Modeling of a wind turbine with a permanent magnet synchronous generator for real time simulations

Cited by 5 publications

References 10 publications

Rapid Prototyping of a Hybrid PV–Wind Generation System Implemented in a Real-Time Digital Simulation Platform and Arduino

Rapid Prototyping of a Hybrid PV–Wind Generation System Implemented in a Real-Time Digital Simulation Platform and Arduino

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

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

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