2004 11th International Conference on Harmonics and Quality of Power (IEEE Cat. No.04EX951)
DOI: 10.1109/ichqp.2004.1409419
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A software for voltage sags strategic studies

Abstract: This paper describes a software specially developed for strategic studies within Power Quality, more specificaUy Voltage Sags. First, the methodology to estimate the number and the characteristics of the disturbances is presented. Then, the software structure is briefly described. Finally, B case study is discussed.

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Cited by 5 publications
(2 citation statements)
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“…There are currently a large number of tools for simulating power supply systems. Among these, the most commonly used simulation environments in the academic environment are: the ATP version of the Electromagnetic Transients Program (EMT) simulator [1][2][3][4][5], the PSCAD (Power Systems CAD) simulator with EMTDC (Electromagnetic Transients including DC) [6][7][8][9][10], MATLAB with the Power System Toolbox [11][12][13][14][15] and the Power System Analysis Toolbox [16][17][18][19][20][21][22][23] and Simulink with SimPowerSystems [24][25][26][27][28][29][30][31][32][33][34][35][36] and Power Analysis Toolbox [37][38][39][40].…”
Section: Introductionmentioning
confidence: 99%
“…There are currently a large number of tools for simulating power supply systems. Among these, the most commonly used simulation environments in the academic environment are: the ATP version of the Electromagnetic Transients Program (EMT) simulator [1][2][3][4][5], the PSCAD (Power Systems CAD) simulator with EMTDC (Electromagnetic Transients including DC) [6][7][8][9][10], MATLAB with the Power System Toolbox [11][12][13][14][15] and the Power System Analysis Toolbox [16][17][18][19][20][21][22][23] and Simulink with SimPowerSystems [24][25][26][27][28][29][30][31][32][33][34][35][36] and Power Analysis Toolbox [37][38][39][40].…”
Section: Introductionmentioning
confidence: 99%
“…São geralmente realizadas grandes campanhas de medição, em diferentes pontos da rede, para a obtenção de índices de qualidade representativos. Tais campanhas de medição geram grandes investimentos na compra de equipamentos de medição de QEE que, além do custo, demandam um período de tempo muito grande para obtenção de índices estatisticamente representativos, o que pode levar a anos de monitoramento (Filho et al, 2004). Dada a necessidade de poder caracterizar o comportamento das redes de distribuição, subtransmissão e transmissão frente a fenômenos de VTCDs, foram desenvolvidos aplicativos computacionais de simulação de forma a estimar o número de eventos de VTCDs nos quais estes sistemas estão submetidos (Leborgne et al, 2003, Chan et al, 2007.…”
Section: Introductionunclassified