Off-line validation of power network branch parameters

Filho, Milton Brown Do Coutto; Souza, Julio Cesar Stacchini de; Meza, Edwin Benito Mitacc

doi:10.1049/iet-gtd:20080143

Cited by 33 publications

(11 citation statements)

References 11 publications

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“…Taking branch 9-8 as an example, the terminal nodes 9 and 8 both have injection measurements (node 9 has zero injection measurements), and the necessary elements in Σ include the terminal nodes (8,9) and their neighbor nodes (3,6,7). The diagonal and cross elements corresponding to these five nodes are necessary and highlighted by " × ":…”

Section: -Node Systemmentioning

confidence: 99%

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A Fast Solution for the Lagrange Multiplier-Based Electric Power Network Parameter Error Identification Model

Guo

Zhang

et al. 2014

Energies

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Abstract:The Lagrange multiplier-based method is an effective network parameter error identification method. However, two full matrices with high-dimensions are involved in the calculation procedure; these create huge computational burdens for large-scale power systems. To solve this problem, a fast solution is proposed in this paper, where special treatment techniques for full matrices are used to dramatically improve the calculation efficiency. A practical parameter error identification program has been developed and used in many electric power control centers. In this paper, the results for test systems and on-site applications are given, which show that the proposed approach is very efficient.

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Section: -Node Systemmentioning

confidence: 99%

“…The first type is based on sensitivity analysis [2][3][4][5][6][7][8]. These methods use sensitivity factors between measurements and parameters, along with the measurement residuals to find the most suspicious network parameters.…”

Section: Introductionmentioning

confidence: 99%

A Fast Solution for the Lagrange Multiplier-Based Electric Power Network Parameter Error Identification Model

Guo

Zhang

et al. 2014

Energies

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“…In model verification research in the related area, various methods to determine line parameters have been proposed in [7], [8]. The method in [9] uses synchronized data at both ends of a line to determine the series compensation level of the unit.…”

Section: Introductionmentioning

confidence: 99%

Model Verification of Fixed Series Compensation Devices Using Synchronized Data

Gajare¹,

Pradhan²,

Brahma

2016

IEEE Trans. Power Delivery

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Regulating agencies mandate that model verification of power system components must be performed to make sure the system analysis software perform accurately. Such verification is necessary for series compensation devices used in transmission systems, since they deteriorate due to aging or prolonged subjection to stressed condition, leading to changes in compensation levels or voltage-current characteristic of the metal oxide varistor (MOV) protecting them. This paper presents a method that uses synchronized time-domain data captured by intelligent electronic devices (IEDs) at both ends of a line for model verification of a fixed series compensation device installed at one location in the line. Electromagnetic transient line model is used to calculate the current and voltage across the compensation device, which in turn are used to determine the actual compensation and the actual voltage-current characteristic of MOV. These characteristics are used to detect failures in MOV and spark-gap. PSCAD/EMTDC is used to test the method.

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“…Em (DO COUTTO FILHO et al, 2008), foi proposto um algoritmo para detecção e identificação de EPs, baseado na análise dos resíduos obtidos através de um processo de EESEP convencional. Este algoritmo realiza-se através dos seguintes passos:…”

Section: Detecção E Identificação De Erros De Parâmetrosunclassified

“…(1) Métodos que utilizam as Equações Normais (ALLAN; LAUGHTON, 1974;LIM, 1995;LONDON et al, 2004a) (2) Métodos que utilizam a teoria do Filtro de Kalman (DEBS, 1974;SLUTSKER;CLEMENTS, 1996 (CASTILLO et al, 2009a;CASTILLO et al, 2009b, DO COUTTO FILHO et al, 2008LIU et al, 1992). Entretanto, vários trabalhos têm mostrado que essa influencia é significativa (MINGUEZ; CONEJO, 2007;LEFEBVRE et al, 2004;LEFEBVRE et al, 2006), principalmente em sistemas de transmissão com grande circulação (absorção e compensação) de potência reativa.…”

Section: Capítulo 1 Introduçãounclassified

Metodologia para depuração off-line de parâmetros série e shunt de linhas de transmissão através de diversas amostras de medidas

Albertini¹

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Off-line validation of power network branch parameters

Cited by 33 publications

References 11 publications

A Fast Solution for the Lagrange Multiplier-Based Electric Power Network Parameter Error Identification Model

A Fast Solution for the Lagrange Multiplier-Based Electric Power Network Parameter Error Identification Model

Model Verification of Fixed Series Compensation Devices Using Synchronized Data

Metodologia para depuração off-line de parâmetros série e shunt de linhas de transmissão através de diversas amostras de medidas

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