An experimental study on the load modelling using PMU measurements

Vignesh, V.; Chakrabarti, Saikat; Srivastava, Suresh C.

doi:10.1109/tdc.2014.6863487

Cited by 19 publications

(20 citation statements)

References 17 publications

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“…De acuerdo a las siete características predefinidas se clasifican 62 artículos científicos; estos son: [23]- [84]. Es importante destacar que: i) la bibliografía data a partir del año 2010 y, ii) los artículos se enfocan en la identificación paramétrica de modelos de carga, mas no en investigaciones de nuevos o mejores modelos.…”

Section: Metodología De Clasificación Bibliográficaunclassified

Estado del Arte y Tendencias en el Modelamiento de Carga

Constante¹,

Colomé

2022

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El modelamiento de la carga es fundamental en el diseño, planificación, operación, control y muchos otros estudios y aplicaciones relacionados al correcto funcionamiento de los sistemas eléctricos. Aunque el modelamiento de carga ha sido ampliamente estudiado en el pasado, hoy en día ha resurgido un gran interés por parte de los investigadores y la industria debido: al cambio tecnológico de la demanda, al crecimiento continuo de las redes, a la operación cerca de los límites de estabilidad, a la generación distribuida, al gran despliegue de tecnologías de medición, entre muchos otros. En este contexto, el objetivo de este trabajo es presentar una revisión bibliográfica sobre modelamiento de carga, en la cual se prioriza las investigaciones de la última década. Para lograr el objetivo precitado primero se propone, a conocimiento de los autores, la primera metodología sistemática de clasificación bibliográfica enfocada específicamente al modelamiento de carga. En base a esta metodología se deducen los resultados que incluyen: tendencias actuales de investigación, áreas poco investigadas y nichos futuros de investigación; estos resultados son claramente descritos y resaltados.

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Section: Metodología De Clasificación Bibliográficaunclassified

Estado del Arte y Tendencias en el Modelamiento de Carga

Constante¹,

Colomé

2022

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“…Vignesh et al in [53] demonstrated the potential to significantly improve existing load modeling practice by phasor measurement units (PMUs).…”

Section: Electric Load Compositionmentioning

confidence: 99%

Enhanced Contingency Analysis—A Power System Operator Tool

Bulat¹,

Franković

Vlahinić

2021

Energies

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Contingency analysis (CA) is a well-known function in power system planning and operation. In accordance with CA results, the system operator dispenses information regarding static security of the power system (overloads and/or voltage outside tolerable limits). However, classic CA with remedial action schemes cannot distinguish safe operating regimes from potentially dangerous ones in terms of voltage (in)stability. In fact, voltage instability is considered as one of the major threats leading to power system insecurity. Therefore, in this study an enhanced contingency analysis (ECA) is presented where the classical CA is extended with static voltage analysis based on the modal analysis. The article presents a dedicated methodology for the proposed ECA tool, with special emphasis on the analysis of corrective measures provided by the system operator, intended for enhancing power system security (regulation transformer action, distributed generation and energy storage). Also the influence of the load model was analyzed by simulation and the main conclusions are presented. The study demonstrated the advantages that distributed generation resources and energy storage can provide in the context of voltage stability. Also, the simulations acknowledged the importance of correct load modeling, since over or under estimation of a certain load-type component can result in too optimistic or too pessimistic power system operation limits.

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“…The above transitive relationship for the system of nonlinear equations in (8) is the generalization of the concept of linear dependency in system of linear equations. In order to obtain the largest subset of independent load equations from the total number of equations in (13), first, for each individual load i, we consider one of the load configurations as the reference configuration. Next, we write c i − 1 different load equations of the form in (8) based on the reference configuration together with each of the c i − 1 remaining load configurations.…”

Section: B the Second Set Of Equations: Load Modelmentioning

confidence: 99%

“…Measurement-based load modeling methods can be further classified into three broad categories: static load modeling, c.f., [7]- [12], composite load modeling, which is a combination of static load modeling and dynamic load modeling, c.f., [13]- [22], and component-based load modeling, c.f., [23]- [26]. Our focus in this study is on the first group; which is commonly used to estimate the parameters of the ZIP load model.…”

Section: Introductionmentioning

confidence: 99%

Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events

Shahsavari

Farajollahi

Mohsenian‐Rad

2019

IEEE Trans. Power Syst.

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There currently exists a mature literature on modeling the aggregate load of a distribution feeder by making use of measurements at its feeder-head at substation. The primary application of such feeder-aggregated load models is in sub-transmission or transmission system analysis. However, there is a growing need in practice also to model each individual load across the feeder. If available, such individual load models have applications in power distribution system analysis, e.g., to better integrate distributed energy resources or to improve power quality and reliability. Motivated by this observation, in this paper, we propose a new method for individual load modeling in power distribution systems. It works by using the measurements only at the feeder-head. It takes an innovative approach to analyzing the load switching events across the distribution feeder itself, instead of or in addition to relying on upstream voltage events that are commonly used in feeder-aggregated load modeling. By tracking the downstream load switching events, the proposed method can make a robust estimation of the ZIP load model parameters for all individual loads. The proposed method is examined on small illustrative test-feeders as well as the IEEE 33-bus test system under various operating scenarios. The adverse impact of errors in measurements and system parameters are also investigated on the performance of the developed load modeling method.Index Terms-Load modeling, distribution system analysis, load switching events, ZIP model, nonlinear parameter estimation. V Voltage phasor measured at feeder-head S, P, Q Power measured at feeder-head V i

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An experimental study on the load modelling using PMU measurements

Cited by 19 publications

References 17 publications

Estado del Arte y Tendencias en el Modelamiento de Carga

Estado del Arte y Tendencias en el Modelamiento de Carga

Enhanced Contingency Analysis—A Power System Operator Tool

Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events

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