A comparative study of two model order reduction approaches for application in power systems

Ghosh, Sudipta; Senroy, Nilanjan

doi:10.1109/pesgm.2012.6344785

Cited by 17 publications

(4 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main goal of a MOR methodology is to replace the original high-order system model with a reduced-dimensional model, while keeping a good approximation of the dynamic response of the original. MOR techniques have been studied extensively in the literature based on Balanced-truncation [23]- [26] and Krylov subspace methodologies [23], [27]- [29]. However, the simplified network models built based on MOR and the aforementioned equivalent circuit techniques are valid only for one specific operating point.…”

Section: Takedown Policymentioning

confidence: 99%

See 1 more Smart Citation

A Framework for Analyzing System Loadability With Multiple VSCs Using a Hybrid Model

Chen

Preece

Barnes

2024

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

Section: Takedown Policymentioning

confidence: 99%

“…Based on more than 10 4 numerical simulations completed in this research, the above assumption is correct for over 90% of cases. The kinematics concepts in (22) can then be represented by eigenvalue sensitivity, with parameters mapping shown in (23).…”

Section: ) Determination Of Key Eigenvaluementioning

confidence: 99%

A Framework for Analyzing System Loadability With Multiple VSCs Using a Hybrid Model

Chen

Preece

Barnes

2024

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

“…Only those states are retained whose Hankel singular value (HSV) are relatively high. BT algorithm, a popular procedure for model approximation, requires a state truncation of a system which is represented in balanced state space form [9]- [10]. A brief exposition of the BT algorithm is provided in this section.…”

Section: Model Order Reduction Approaches and Controller Designmentioning

confidence: 99%

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

Ghosh

Senroy

Kamalasadan

2014

2014 North American Power Symposium (NAPS)

View full text Add to dashboard Cite

A reduced order linearized dynamic model for a variable speed wind farm (WF) is introduced in this paper. The individual turbine model for the WF is a two mass model and assumed to be operating under maximum power point tracking control strategy. This paper studies pitch based deloading of WF and a control scheme to emulate inertia and support primary frequency control using a dynamic linearized model. The model is linearized between the wind velocity and system frequency vs power output of farm. The model is validated against an actual nonlinear DFIG based WF simulated in Dig-SILENT Power Factory with efficient simulation performance indices. The main advantage of this reduced order model is its capability to predict dynamic frequency response and thus allows frequency response based control strategy for the WF. The savings in computational efforts are significant, with little loss of accuracy.

show abstract

“…These methods are suitable for stability analysis, steady state power flow for security assessment and control applications. Generator aggregation based in coherency approach (Chow, Galarza, Accari & Price, 1995) (Milano & Srivastava, 2009), modal analysis (Chaniotis & Pai, 2005) (Ghosh & Senroy, 2012) and identification approach (Ramirez, 1999) were widely used, in contrast to the equivalents of loads that was less analyzed. This has been sustained by the uncertainty in the composition and diverse characteristics of loads that do not allow to define an adequate and accurate model.…”

Section: Introductionmentioning

confidence: 99%

Load area aggregation considering integration of electric vehicles to the system

Rodríguez-García¹,

Pérez-Londoño²,

Flórez³

2015

ing.inv.

View full text Add to dashboard Cite

Current electric power systems have an increasing penetration of electric vehicles, and its effect has to be considered in different studies, such as optimal dispatch or voltage stability, among others. Additionally, considering that power system analysis becomes complex when the number of buses increase, this paper presents a methodology for aggregation of load areas that use a measurementbased load modeling approach based on an evolutionary computational technique and a classical reduction method. This aggregate load area model is proposed to reduce areas that consider electric vehicle (EV) load models. The proposed method provides a static equivalent load model and an equivalent network that can be used to reduce the computational effort required by power system studies. In order to validate the application of the proposed methodology, a 30-bus power system considering several disturbances and levels of penetration of the electric vehicles was used. The results show that the equivalent network model allows the reproduction of different events with an acceptable accuracy when it is compared to the original system behavior.Keywords: Reduction of power systems, measurement-based load modeling approach, electric vehicle, particle swarm optimization. RESUMENCon la inclusión de los vehículos eléctricos en las redes de energía es necesario analizar su impacto en los diferentes estudios, como el caso del despacho óptimo o análisis de estabilidad de tensión, entre otros. Debido a que el análisis de los sistemas de potencia se hace más complejo a medida que se incrementa el número de barras, en este artículo se presenta una metodología para la agregación de áreas de carga, que emplea el modelado de carga basado en mediciones, que a su vez se basa en una técnica computacional evolutiva y un método clásico de reducción. Se propone este modelo de agregación de área de carga con el fin de reducir áreas que contienen modelos de carga de vehículos eléctricos. El método propuesto provee un modelo equivalente estático de carga y de la red, que puede emplearse para reducir el tiempo computacional requerido para análisis específicos en la red. La metodología propuesta se valida en el sistema modificado IEEE de 30 barras, ante diferentes perturbaciones y diferentes niveles de penetración de los vehículos eléctricos. Los resultados muestran que el equivalente de red obtenido permite reproducir los diferentes eventos con una aceptable exactitud en comparación con el comportamiento del sistema original.Palabras clave: Reducción de sistemas de potencia, modelado de carga basado en mediciones, vehículo eléctrico, optimización por enjambre de partículas.

show abstract

A comparative study of two model order reduction approaches for application in power systems

Cited by 17 publications

References 36 publications

A Framework for Analyzing System Loadability With Multiple VSCs Using a Hybrid Model

A Framework for Analyzing System Loadability With Multiple VSCs Using a Hybrid Model

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

Load area aggregation considering integration of electric vehicles to the system

Contact Info

Product

Resources

About