Control of DFIG-Based Wind Generation for Power Network Support

Hughes, F.M.; Anaya‐Lara, Olimpo; Jenkins, Nick; Štrbac, Goran

doi:10.1109/tpwrs.2005.857275

Cited by 373 publications

(184 citation statements)

References 11 publications

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“…To damp out the inter-area oscillation, the power system stabilizer (PSS) has been successfully applied [2,3]. Nevertheless, the PSS may cause the negative impact to the voltage control of automatic voltage regulator (AVR) [4].…”

Section: Introductionmentioning

confidence: 99%

“…The power oscillation damper (POD) is equipped with the DFIG wind turbine with the same function as PSS. The PODs with various inputs such as the angle variation [4], the slip of DFIG [10] etc., have been presented and successfully damp out the power oscillation. Besides, the PODs are tuned in the small signal stability model of the power system by particle swarm optimization [11], bacterial foraging [12] and differential evolution [13] so that the dynamic performance and fault ride through capability of DFIG are improved.…”

Section: Introductionmentioning

confidence: 99%

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Power System Oscillations Damping by Robust Decentralized DFIG Wind Turbines

Surinkaew¹,

Ngamroo²

2015

Journal of Electrical Engineering and Technology

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-This paper proposes a new robust decentralized power oscillation dampers (POD) design of doubly-fed induction generator (DFIG) wind turbine for damping of low frequency electromechanical oscillations in an interconnected power system. The POD structure is based on the practical 2 nd -order lead/lag compensator with single input. Without exact mathematical model, the inverse output multiplicative perturbation is applied to represent system uncertainties such as system parameters variation, various loading conditions etc. The parameters optimization of decentralized PODs is carried out so that the stabilizing performance and robust stability margin against system uncertainties are guaranteed. The improved firefly algorithm is applied to tune the optimal POD parameters automatically. Simulation study in two-area four-machine interconnected system shows that the proposed robust POD is much superior to the conventional POD in terms of stabilizing effect and robustness.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power System Oscillations Damping by Robust Decentralized DFIG Wind Turbines

Surinkaew¹,

Ngamroo²

2015

Journal of Electrical Engineering and Technology

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“…A conventional proportion integration differentiation (PID) controller based decoupling control strategy for the active power and reactive power proposed in [6] has been widely used in control of DFIG [7][8][9]. For reliability and simplicity, the conventional PID controllers are well accepted in the engineering field, and those have been widely used in power systems.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Multiple MPC for a Wind Farm with DFIG: a Decentralized-Coordinated Approach

Li¹,

Zhang²,

Lin³

et al. 2016

Journal of Electrical Engineering and Technology

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-For low investment and flexible control, doubly fed induction generator (DFIG) is becoming the dominant type that is been used in the wind farms (WFs) today. The report researches about the rotor-side controller of DFIG where all design is based on the single machine infinite bus (SMIB) model. The interactions between the different generators have not been considered in the SMIB model, and the desired performance cannot be obtained by using the controller based on this model. In this situation, an adaptive decentralized-coordinated multiple model predictive control (ADM-MPC) is proposed. First, the interaction measurement method is developed to obtain the interaction measurement model of DFIG, where the interactions between the different generators have been considered. Next, an adaptive multiple MPC based on the obtained interaction measurement method of DFIG is employed to control the rotor-side converter of DFIG. In order to cope with the stochastic disturbance of wind turbine, the augment state structure is employed to improve the tracking control performance. An artificial neural network (ANN) trained online is employed as a weighting controller to cope with the nonlinearities and large operating range of DFIG. A simple, generic renewable power system (RPS) is used to demonstrate contributions. The results of both dominant eigenvalue analysis and time response simulations are represented to illustrate contributions to system damping and transient stability that the DFIG based WF can make with the proposed ADM-MPC controller.

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“…Some authors have already investigated the torsional dynamics of wind turbines (WTs) [14,15], and the potential contribution of WPPs to damp power oscillations [16,17]. However, these studies mainly focus on variablespeed WTs (i.e., Type-3 and Type-4).…”

Section: Introductionmentioning

confidence: 99%

Modeling and control of Type-2 wind turbines for sub-synchronous resonance damping

Mancilla–David

Domínguez‐García

Gil

et al. 2015

Energy Conversion and Management

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The rapid increase of wind power penetration into power systems around the world has led transmission system operators to enforce stringent grid codes requiring novel functionalities from renewable energy-based power generation. For this reason, there exists a need to asses whether wind turbines (WTs) will comply with such functionalities to ensure power system stability. This paper demonstrates that Type-2 WTs may induce sub-synchronous resonance (SSR) events when connected to a series-compensated transmission line, and with proper control, they may also suppress such events. The paper presents a complete dynamic model tailored to study, via eigenanalysis, SSR events in the presence of Type-2 WTs, and a systematic procedure to design a power system stabilizer using only local and measurable signals. ReEmail address: fernando.mancilla-david@ucdenver.edu Corresponding author (Fernando Mancilla-David) Conversion & Management March 12, 2015 sults are validated through a case study based on the IEEE first benchmark model for SSR studies, as well as with transient computer simulations. Preprint submitted to Energy

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Control of DFIG-Based Wind Generation for Power Network Support

Cited by 373 publications

References 11 publications

Power System Oscillations Damping by Robust Decentralized DFIG Wind Turbines

Power System Oscillations Damping by Robust Decentralized DFIG Wind Turbines

Adaptive Multiple MPC for a Wind Farm with DFIG: a Decentralized-Coordinated Approach

Modeling and control of Type-2 wind turbines for sub-synchronous resonance damping

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