Generic Dynamic Models for Modeling Wind Power Plants and Other Renewable Technologies in Large-Scale Power System Studies

Pourbeik, P.; Sanchez-Gasca, J.J.; Senthil, J.; Weber, Judy; Zadehkhost, Pouya Sajjad; Kazachkov, Y.; Tacke, Spencer; Wen, Jianxiang; Ellis, Abraham

doi:10.1109/tec.2016.2639050

Cited by 79 publications

(33 citation statements)

References 4 publications

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“…Consequently, the dependence of the capabilities on one physical factor can be quantified as the impact of the corresponding variable of this physical factor on the magnitudes and signs of Γ Q and Γ P , respectively, given by (20) and (21). In other words, any analysis of the dependencies is changed into an analysis of (20) and (21), which means mathematical tools such as function curves and partial derivatives can now be employed in the analysis.…”

Section: Quantification Of the Dependenciesmentioning

confidence: 99%

“…Wind Turbine SGs Corridor Power 5-6,10-11: 50 km 6-7,9-10: 20 km 7-8,8-9: 110 km G1: 6.5 pu G3: 6.175 pu G4: 6.175 pu The model of the aggregated wind turbine was based on [21]. The original supplementary controllers of current references preferentially boosted the reactive current and depressed the active current based on voltage dip.…”

Section: System Strength System Power Flow Length Of Lines Inertia Ofmentioning

confidence: 99%

“…The action of the proposed controller was limited to the first two cycles to avoid an increasingly The model of the aggregated wind turbine was based on [21]. The original supplementary controllers of current references preferentially boosted the reactive current and depressed the active current based on voltage dip.…”

Section: System Strength System Power Flow Length Of Lines Inertia Ofmentioning

confidence: 99%

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Optimization of Active Current for Large-Scale Wind Turbines Integrated into Weak Grids for Power System Transient Stability Improvement

Zhang

Yuan

2017

Energies

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Abstract:Power system transient stability is a challenge when integrating large-scale wind turbines into weak grids. This paper addresses the issue of transient stability in such situations by optimizing a wind turbine's active current behavior. A wind turbine's active current reference controller and its setting optimization method are proposed based on analyses of two associated problems: the mechanism for improving transient stability of a single (synchronous) machine infinite bus (SMIB) system, as well as the various physical factor dependencies dictating how active and reactive wind turbine currents affect the swing dynamics of synchronous machines. Analysis of the first problem guided the design of the controller's main structure. Analysis of the second problem guided selection of the control object within a wind turbine's active and reactive currents, as well as helped recognition of the influential physical factors that must be considered in the parameter setting process. The efficiency of the controller and the validity of the analyses were verified by case studies using Kundur's two-area system.

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Section: Quantification Of the Dependenciesmentioning

confidence: 99%

Section: System Strength System Power Flow Length Of Lines Inertia Ofmentioning

confidence: 99%

Section: System Strength System Power Flow Length Of Lines Inertia Ofmentioning

confidence: 99%

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Optimization of Active Current for Large-Scale Wind Turbines Integrated into Weak Grids for Power System Transient Stability Improvement

Zhang

Yuan

2017

Energies

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“…The SGGM is developed based on first generation generic model (FGGM) . These models have been reviewed in some studies . In recent years, the SGGM has been developed by WECC and Electric Power Research Institute (EPRI) …”

Section: Introductionmentioning

confidence: 99%

Optimal PID controller of large‐scale PV farms for power systems LFO damping

Saadatmand

Mozafari

Gharehpetian

et al. 2020

Int Trans Electr Energ Syst

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Summary The penetration of large‐scale photovoltaic farms (LPFs) is ever increasing. Given that LPFs are added to power systems or replaced by conventional power plants, they should undertake the most common tasks of synchronous generators. One of these tasks is the low‐frequency oscillation (LFO) damping using power system stabilizer. This paper proposes a general method for LFO damping using LPFs by designing an optimal proportional‐integral‐derivative (PID) controller as a power oscillation damper in the nonlinear control loop of LPF. Considering the need for a valid LPF model, therefore the second generation generic model, developed and approved by western electricity coordinating council, is used. The PID controller is optimally tuned using the particle swarm optimization algorithm in order to produce an effective LFO damping. Finally, the performance of this controller is investigated in the modified two‐area test system, showing the proper performance of the LPF for LFO damping using the proposed optimal PID controller in the various operating condition and different short circuit ratio values.

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“…This motivates the research community to search for technical solutions to let variable speed wind turbines (VSWTs) contribute to the system inertia and to support primary frequency control. The importance of the frequency regulation needed for such kind of renewable energy technology is emphasized in many works (e.g., [4][5][6][7]). Several control techniques are proposed in the literature to support the system frequency with increasing the penetration of the wind energy in the electric grid.…”

Section: Introductionmentioning

confidence: 99%

Primary Frequency Response Enhancement for Future Low Inertia Power Systems Using Hybrid Control Technique

2018

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Abstract:Maintaining the stability of a conventional power system during under frequency events is partially dominated by a natural behavior called inertial response. Although a variable speed wind turbine (VSWT) is fundamentally deprived from such behavior, it was shown recently that it can virtually emulate this response, hence increasing its output power given to the grid to sustain the power balance. This paper reviews and analyzes the performance of four primary frequency control structures, and provides comparison between these controllers in terms of security indices. The results reflect the superiority of the inertia emulation controller and the droop control type in low and high wind speed respectively. To enhance the system frequency control response and take any inherent advantage of each controller, this paper proposes two novel controllers based on combination (hybridization) strategy between the four controllers. The results show that the combination between the inertia emulation controller and the de-loading controller will lead to reducing the rate of change of frequency (ROCOF) and raising the frequency nadir (FN) values. Finally, the role of each discussed controller in determining the correlations among ROCOF, FN and wind power penetration level are explored.

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Generic Dynamic Models for Modeling Wind Power Plants and Other Renewable Technologies in Large-Scale Power System Studies

Cited by 79 publications

References 4 publications

Optimization of Active Current for Large-Scale Wind Turbines Integrated into Weak Grids for Power System Transient Stability Improvement

Optimization of Active Current for Large-Scale Wind Turbines Integrated into Weak Grids for Power System Transient Stability Improvement

Optimal PID controller of large‐scale PV farms for power systems LFO damping

Primary Frequency Response Enhancement for Future Low Inertia Power Systems Using Hybrid Control Technique

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