Reduced order modeling of wind farms for inclusion in large power system simulations for primary frequency response application

Ghosh, Sudipta; Senroy, Nilanjan; Kamalasadan, Sukumar

doi:10.1109/naps.2014.6965474

Cited by 8 publications

(6 citation statements)

References 14 publications

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“…The dynamic simulation of WTs to analyze impacts on dynamic performance of large power systems is a challenge, which has engaged researchers for the past decade. A VSWTbased dynamic model of a Wind Power Plant (WPP) was developed by Ghosh et al by representing WTGs as inputoutput based aggregated models to study the linearized dynamics of a large power system for a set of inputs such as wind speed and network frequency [191]. A Balance Truncation-based model order reduction predicts the output of a WPP with changes in the inputs to enable the WF to take an action based on the variation in the inputs.…”

Section: ) Wind Turbine Generatorsmentioning

confidence: 99%

Frequency Event Detection and Mitigation in Power Systems: A Systematic Literature Review

Farooq

Bass

2022

IEEE Access

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Modern power systems characterized by complex topologies require accurate situational awareness to maintain an adequate level of reliability. Since they are large and spread over wide geographical areas, it is inevitable that failures will occur. Various generation and transmission disturbances, such as generator and transmission line tripping and load disconnection, give rise to a mismatch between generation and demand, which manifest as frequency events. These events can take the form of negligible frequency deviations or more severe emergencies that can precipitate cascading outages, depending on the severity of the disturbance and efficacy of remedial action schema. The impacts of such events have become more critical recently due to increased levels of renewable penetration and distributed energy resources, which have caused a decline in system synchronous inertia. Due to the repercussions, it is indispensable to arrest such disturbances on time by activating primary frequency control measures. In this paper, a comprehensive systematic literature review is presented on the techniques used for event detection in power systems and the methods of primary frequency response in modern power systems. The paper also highlights the impacts of severe frequency events within power systems.

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Section: ) Wind Turbine Generatorsmentioning

confidence: 99%

Frequency Event Detection and Mitigation in Power Systems: A Systematic Literature Review

Farooq

Bass

2022

IEEE Access

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“…In [11], reduced-order modelling of a doubly fed induction generator (DFIG) has been exploited to develop a wind farm controller for primary frequency response by pitch-based deloading. Similar work has been carried out by the same authors in [12]. Although works [11,12] present a quality model order reduction by taking into account the actual number of wind turbines in a wind farm, the emphasis was on controller design and prediction of wind farm output change, not on SFR modelling for studying power system frequency changes.…”

Section: Introductionmentioning

confidence: 98%

“…Similar work has been carried out by the same authors in [12]. Although works [11,12] present a quality model order reduction by taking into account the actual number of wind turbines in a wind farm, the emphasis was on controller design and prediction of wind farm output change, not on SFR modelling for studying power system frequency changes. Moreover, only primary frequency control by pitch-based deloading was taken into account; wind turbines operate and are controlled differently during different wind conditions.…”

Section: Introductionmentioning

confidence: 98%

Introducing low‐order system frequency response modelling of a future power system with high penetration of wind power plants with frequency support capabilities

Krpan

Kuzle

2018

IET Renewable Power Generation

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Wind power generation has reached a significant share in power systems worldwide and will continue to increase. As the converter-connected generation reduces the grid inertia, more and more interest has been given to exploiting the kinetic energy and controllability of variable-speed wind turbine generators (VSWTGs) for frequency support. Consequently, the grid frequency dynamics are changing. Thus, it is necessary to include the frequency response of wind power plants in the system frequency response (SFR) model. A novel approach to low-order SFR modelling of a future power system with a high share of frequency-support-capable VSWTGs has been presented. Low-order model of VSWTGs with primary frequency response and natural inertial response has been developed considering different wind turbine operating regimes and compared to the nonlinear model for validation. Low-order model has been presented in a symbolic transfer function form. Model accuracy has been discussed and the impact of VSWTG parameters on frequency response has been analysed. The developed model facilitates studying power system frequency dynamics by avoiding the need for modelling complex VSWTG systems, while retaining a satisfying level of accuracy.

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“…However, these works do not provide rigorous analysis to validate that the aggregate model synthesized with the scaled parameters faithfully captures the dynamics of the collection of individual turbines pointwise in time. Literature pertinent to the present work also includes a variety of methods that have been applied for model reduction for wind energy conversion systems [5], [7]- [14]. In such approaches, a linear time-invariant system is first obtained from the originating nonlinear dynamical system and then model-order reduction methods developed for linear systems are employed.…”

Section: Introductionmentioning

confidence: 99%

Reduced-order Aggregate Dynamical Model for Wind Farms

Vijayshankar

Purba

Seiler

et al. 2019

2019 American Control Conference (ACC)

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This paper presents an aggregate reduced-order model for a wind farm composed of identical parallel-connected Type-3 wind turbines. The model for individual turbines includes mechanical dynamics (arising from the turbine and doubly fed induction generator) and electrical dynamics (arising from the rotor-side and grid-side converters and associated filters). The proposed aggregate wind-farm model is structure preserving, in the sense that the parameters of the model are derived by scaling corresponding ones from the individual turbines. The aggregate model hence maps to an equivalentalbeit fictitious-wind turbine that captures the dynamics corresponding to the entire wind farm. The reduced-order model has obvious computational advantages, but more importantly, the presented analysis rigorously formalizes parametric scalings for aggregate wind-turbine models that have been applied with limited justification in prior works. Exhaustive numerical simulations validate the accuracy and computational benefits of the proposed reduced-order model.

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Reduced order modeling of wind farms for inclusion in large power system simulations for primary frequency response application

Cited by 8 publications

References 14 publications

Frequency Event Detection and Mitigation in Power Systems: A Systematic Literature Review

Frequency Event Detection and Mitigation in Power Systems: A Systematic Literature Review

Introducing low‐order system frequency response modelling of a future power system with high penetration of wind power plants with frequency support capabilities

Reduced-order Aggregate Dynamical Model for Wind Farms

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