Voltage Sags: Statistical Evaluation of Monitoring Results based on Predicted Stochastic Simulation
Paper in proceedings, 2006

This paper presents a methodology specially developed for the estimation of voltage sag characteristics such as magnitude and frequency. The aim of this methodology is to evaluate sags monitoring results based on a stochastic assessment of long-term voltage sag indices. The measured sag indices are evaluated by means of two statistic tools, namely the confidence interval and analysis of variance based on hypothesis testing. A case study based on the evaluation of a six-month monitoring period shows the applicability of the proposed methodology.

voltage dips.

Power quality

stochastic assessment

voltage sags


Thiago Clé de Oliveira

José Maria Carvalho Filho

Jose Policarpo Abreu

Roberto Chouhy Leborgne

Chalmers, Energy and Environment, Electric Power Engineering

12th International Conference on Harmonics and Quality of Power

Subject Categories

Other Electrical Engineering, Electronic Engineering, Information Engineering

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