Comparative stability analysis of DFIG-based wind farms and conventional synchronous generators

Muñoz, Juan Carlos; Cañizares, Claudio A.

doi:10.1109/psce.2011.5772545

Cited by 37 publications

(21 citation statements)

References 14 publications

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“…In conventional fixed speed wind turbines, wind energy is converted into electrical energy by connecting SCIG directly to the main grid. Active power generation by wind plant is given by

P_{{normalw}_{ik}} = \frac{ρ}{2} normalA {normalω}_{r_{ik}}^{3} C_{p} \forall normali \in normalW

where ρ is air density, A is rotor swept area = πr 2 , r is rotor radius,

ω_{{normalr}_{ik}}

is wind speed, and C p is Betz limit coefficient that represents efficiency of wind turbine in extracting power from wind (usually 35% to 45%).…”

Section: Modeling Of Wind Power Plantsmentioning

confidence: 99%

“…To develop decoupled control of active and reactive power of DFIG, its dynamic model is needed. One such model is Park's model . In this model, equations of DFIG in terms of d and q axes components on the basis of circuit diagram as shown in Figure are written as

u_{{sd}_{ik}} = R_{s} i_{{sd}_{ik}} + L_{s} \frac{normald i_{{sd}_{ik}}}{dt} - normalj ω_{s} φ_{{sq}_{ik}} + L_{m} \frac{normald ((), i_{{sd}_{ik}} + i_{{rd}_{ik}})}{dt} \forall normali \in normalW

u_{{rd}_{ik}} = R_{r} i_{{rd}_{ik}} + L_{r} \frac{normald i_{{rd}_{ik}}}{dt} - normalj ((), ω_{s} - ω_{{normalr}_{ik}}) φ_{{rq}_{ik}} + L_{m} \frac{normald ((), i_{{sd}_{ik}} + i_{{rd}_{ik}})}{dt} \forall normali \in normalW

u_{{sq}_{ik}} = R_{s} i_{{sq}_{ik}} + L_{s} \frac{normald i_{{sq}_{ik}}}{dt} - normalj ω_{s} φ_{{sd}_{ik}}

…”

Section: Modeling Of Wind Power Plantsmentioning

confidence: 99%

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Financial analysis of reactive power procurement in pool-based deregulated power market integrated with DFIG-based wind farms

Gupta

Verma

Chauhan

2018

Int Trans Electr Energ Syst

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Summary Reactive power management is one of the prime ancillary services provided by independent system operator in deregulated power market as it supports real power transfer by controlling system voltage within specified limits. In this article, financial impact of reactive power production in pool‐based deregulated power market integrated with wind farms is analyzed. Reactive power cost of different generators including fixed speed wind units and doubly fed induction generator (DFIG)‐based variable speed wind units is calculated using the concept of loss of real power spinning reserve cost. This model is then extended to incorporate reactive power cost in terms of lost opportunity cost to bid scheduled real power by using loading capability curve. The proposed model is validated and implemented on a modified five‐bus test system and is then extended to a larger IEEE 24‐bus RTS system using GAMS 23.4 software in interfacing with MATLAB 7.0. Results reveal superior financial and technical performance of DFIG wind farms as compared to fixed speed wind farms in reactive power management.

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“…In conventional fixed speed wind turbines, wind energy is converted into electrical energy by connecting SCIG directly to the main grid. Active power generation by wind plant is given by

P_{{normalw}_{ik}} = \frac{ρ}{2} normalA {normalω}_{r_{ik}}^{3} C_{p} \forall normali \in normalW

where ρ is air density, A is rotor swept area = πr 2 , r is rotor radius,

ω_{{normalr}_{ik}}

is wind speed, and C p is Betz limit coefficient that represents efficiency of wind turbine in extracting power from wind (usually 35% to 45%).…”

Section: Modeling Of Wind Power Plantsmentioning

confidence: 99%

u_{{sd}_{ik}} = R_{s} i_{{sd}_{ik}} + L_{s} \frac{normald i_{{sd}_{ik}}}{dt} - normalj ω_{s} φ_{{sq}_{ik}} + L_{m} \frac{normald ((), i_{{sd}_{ik}} + i_{{rd}_{ik}})}{dt} \forall normali \in normalW

u_{{rd}_{ik}} = R_{r} i_{{rd}_{ik}} + L_{r} \frac{normald i_{{rd}_{ik}}}{dt} - normalj ((), ω_{s} - ω_{{normalr}_{ik}}) φ_{{rq}_{ik}} + L_{m} \frac{normald ((), i_{{sd}_{ik}} + i_{{rd}_{ik}})}{dt} \forall normali \in normalW

u_{{sq}_{ik}} = R_{s} i_{{sq}_{ik}} + L_{s} \frac{normald i_{{sq}_{ik}}}{dt} - normalj ω_{s} φ_{{sd}_{ik}}

…”

Section: Modeling Of Wind Power Plantsmentioning

confidence: 99%

Financial analysis of reactive power procurement in pool-based deregulated power market integrated with DFIG-based wind farms

Gupta

Verma

Chauhan

2018

Int Trans Electr Energ Syst

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“…Firstly, a simple saturation mechanism is applied to the controller whenever the amplitude of the terminal reference voltages in (4) or (6) set by the controller exceeds the SPWM saturation region [29,30]. It is summarized as…”

Section: Modulation Limitermentioning

confidence: 99%

Controller saturation nonlinearity in doubly fed induction generator‐based wind turbines under unbalanced grid conditions

Wong

Tse

et al. 2015

Circuit Theory & Apps

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Doubly fed induction generator (DFIG) is widely used in wind energy generation systems due to its costeffective, partially rated back-to-back power converters, variable rotor speed operation, and maximum wind power capture. The conventional design assumes balanced grid voltage and utilizes power protection for the power converters. The DFIG wind turbine is naturally one of the major components in distributed generations of the smart grid system. However, newly developed smart grid system is rich in unbalanced loads. This paper summarizes the limiter settings of controllers and explores the nonlinear behaviors of the DFIG-based wind power generation system with unbalanced loads. The generator rotor speed and an unbalanced load resistance are chosen as variation parameters. An emerging low-frequency linear-modulated oscillation at line second harmonic frequency with DC drifting is identified on the DC link voltage of the back-to-back power converters. In terms of second harmonic and the usually reported hazardous low-frequency oscillation, the saturation nonlinearity and over-modulation of the back-to-back power converter and its power flow are investigated and analyzed. The built-in detailed model of the DFIG wind energy generation system in MATLAB with SimPowerSystems library is used in this study.

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“…Many studies have shown the importance of such detailed modeling in improving the reliability of simulation. Researchers have investigated the voltage stability in distribution networks integrating wind farms, using different load model representations. Khlifi has shown that voltage instability occurred only due to the presence of the induction motor load.…”

Section: Introductionmentioning

confidence: 99%

Analysis and study of two‐dimensional parameter bifurcation of wind power farms and composite loads

Saidi

Slimene

Khlifi³

et al. 2019

Wind Energy

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This study focuses on the stability of power system based on codimension‐two bifurcation theory. In this paper, we investigate the impact of load modeling on permissible wind power generation margins in distribution networks. The study considers codimension‐two bifurcations of equilibria and limit cycles in wind power systems depending on varying two parameters simultaneously. The principle parameter is the wind power generation, and the other parameter depends on the different types of loads. The types of loads are ZIP, exponential recovery, dynamic induction loads, and composite load models. To study the effects of the induction motor loads, the proportion of the static component in the motor load is changed and assessed with respect to their mechanical loads. Wind generation margin boundaries are traced, and saddle‐node, Hopf, and limit‐induced bifurcation branches are obtained, delimiting the stable and unstable operating regions in the parameter space. The analysis presented in this paper can pave the way for determining methods for improving and monitoring these margins with consideration to the system parameters and load composition.

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Comparative stability analysis of DFIG-based wind farms and conventional synchronous generators

Cited by 37 publications

References 14 publications

Financial analysis of reactive power procurement in pool-based deregulated power market integrated with DFIG-based wind farms

Financial analysis of reactive power procurement in pool-based deregulated power market integrated with DFIG-based wind farms

Controller saturation nonlinearity in doubly fed induction generator‐based wind turbines under unbalanced grid conditions

Analysis and study of two‐dimensional parameter bifurcation of wind power farms and composite loads

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