A rapid PMU-based load composition and PMU estimation method

McCamish, Benjamin; Kulkarni, Janhavi; Ke, Ziwei; Harpool, Scott; Huo, Chen; Brekken, Ted K. A.; Cotilla‐Sanchez, Eduardo; Zhang, Julia; Yokochi, Alex

doi:10.1016/j.epsr.2016.10.028

Cited by 8 publications

(4 citation statements)

References 22 publications

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“…After 𝑠 singular values are determined, the orthogonal matrices 𝑼 and 𝑽 H can be divided into four sub-matrices respectively, as shown in Eqs. ( 9) and (10).…”

Section: 𝑿 ̃= 𝑼𝜮𝑽 Hmentioning

confidence: 99%

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Improved SVD-based data compression method for synchronous phasor measurement in distribution networks

Zhao

et al. 2021

International Journal of Electrical Power & Energy Systems

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“…After 𝑠 singular values are determined, the orthogonal matrices 𝑼 and 𝑽 H can be divided into four sub-matrices respectively, as shown in Eqs. ( 9) and (10).…”

Section: 𝑿 ̃= 𝑼𝜮𝑽 Hmentioning

confidence: 99%

“…Although the use of high-precision synchronous phasor measurements helps system operators to understand the dynamic behaviors of distribution networks, PMUs also generate a large volume of data due to their high sampling rates (30~100Hz) [9] [10]. As a result, communication networks have to bear heavy burdens of information transmission and processing.…”

mentioning

confidence: 99%

Improved SVD-based data compression method for synchronous phasor measurement in distribution networks

Zhao

et al. 2021

International Journal of Electrical Power & Energy Systems

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“…Initial experiences have been made with micro PMUs (µPMUs) on lower voltage levels. McCamish uses µPMUs in [23] in a small campus testbed and demonstrates advantages in time when estimating unmeasured bus power. Even standard industrial PMUs employed on lower voltage levels are beneficial [24].…”

Section: Synchrophasors In Electrical Gridsmentioning

confidence: 99%

Archives of Electrical Engineering

Richter¹,

Hauer²,

Komarnicki³

2018

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Both the growing number of dispersed generation plants and storage systems and the new roles and functions on the demand side (e.g. demand side management) are making the operation (monitoring and control) of electrical grids more complex, especially in distribution. This paper demonstrates how to integrate phasor measurements so that state estimation in a distribution grid profits optimally from the high accuracy of PMUs. Different measurement configurations consisting of conventional and synchronous measurement units, each with different fault tolerances for the quality of the calculated system state achieved, are analyzed and compared. Weighted least squares (WLS) algorithms for conventional, linear and hybrid state estimation provide the mathematical method used in this paper. A case study of an 18-bus test grid with real measured PMU data from a 110 kV distribution grid demonstrates the improving of the system's state variable's quality by using synchrophasors. The increased requirements, which are the prerequisite for the use of PMUs in the distribution grid, are identified by extensively analyzing the inaccuracy of measurement and subsequently employed to weight the measured quantities.

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“…La medición de los parámetros eléctricos en los SEP se la realiza mediante unidades de medición fasorial (PMU) en su etapa de transmisión, y medidores inteligentes (SM) en la etapa de dis- tribución (Cevallos, Intriago, Plaza, e Idrovo, 2018;Sánchez y Carrión, 2017). Las PMU, poseen un reloj de tiempo real (RTC) y un sistema de posicionamiento global (GPS); cuya función es medir los fasores de tensión y corriente del SEP y enviarlos al centro de control en donde se analiza el comportamiento del SEP en tiempo real (Arciniegas, Imbajoa, y Revelo, 2017;Jiang, Li, Wang, y Wang, 2012;Jiang, Miao, Xu, Liu, y Zhang, 2012;Mccamish et al, 2017;Song, Ma, Wu, Quan, y He, 2009).…”

Section: Introductionunclassified

Ubicación óptima de PMU considerando restricciones de contingencias N-1 en sistemas eléctricos de potencia

Carrion

Sánchez

2019

Enfoque UTE

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La evaluación de los parámetros eléctricos mediante unidades de medición fasorial en los sistemas de potencia es fundamental, ya que con los datos obtenidos se realiza la estimación del estado de la operación de los mismos. En la presente investigación se plantea el problema para el despliegue óptimo de unidades de medición fasorial respetando restricciones de observabilidad, redundancia y contingencias N-1. La minimización de unidades considera la salida de una línea de transmisión o la falla de una unidad de medición fasorial y garantiza el 100 % de observabilidad de sistema de potencia; para la optimización se utilizó programación lineal entera mixta. El algoritmo propuesto fue probado con los modelos de prueba del IEEE de 9, 14, 30 y 118 nodos.

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A rapid PMU-based load composition and PMU estimation method

Cited by 8 publications

References 22 publications

Improved SVD-based data compression method for synchronous phasor measurement in distribution networks

Improved SVD-based data compression method for synchronous phasor measurement in distribution networks

Archives of Electrical Engineering

Ubicación óptima de PMU considerando restricciones de contingencias N-1 en sistemas eléctricos de potencia

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