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2006
DOI: 10.1109/tpwrs.2006.873055
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A New Methodology for Probabilistic Short-Circuit Evaluation With Applications in Power Quality Analysis

Abstract: The main aim of this paper is to propose a probabilistic short-circuit approach to generate the probability distributions of the System Average RMS Variation Index (SARFI) index. The proposed methodology is based on the combination of the admittance summation method in phase coordinates with the Monte Carlo method. This new approach has been tested in a feeder belonging to an electricity distribution company in the Northeast of Brazil to generate the probability distributions of the SARFI index.The tests resul… Show more

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Cited by 21 publications
(9 citation statements)
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“…SARFI is calculated by real measured data and/or simulated data using probability approaches. 14,16,17 The number of voltage sag events is signifi cantly changed from system to system. The results of 15 surveys have been presented in CIGRE report, 14 which are related to MV, HV and EHV systems.…”
Section: Introductionmentioning
confidence: 99%
“…SARFI is calculated by real measured data and/or simulated data using probability approaches. 14,16,17 The number of voltage sag events is signifi cantly changed from system to system. The results of 15 surveys have been presented in CIGRE report, 14 which are related to MV, HV and EHV systems.…”
Section: Introductionmentioning
confidence: 99%
“…Since the topology of the distribution system is usually either radial or weakly meshed, the Thevenin equivalent circuit is also solved by the backward and forward sweep (BFSW) method [3]. To synthesize the stochastic variation in the SCC, in [4], the probabilistic simulations (e.g., Monte Carlo simulations) are performed. In [5,6], the decomposition method of the bus impedance matrices to bus-current-injection to branch-current (BIBC), and branch-current to bus-voltage (BCBV) matrices, which were originally proposed for power-flow calculation, are also applied to the SCC calculation.…”
Section: Introductionmentioning
confidence: 99%
“…The probabilistic methods have also been applied in power quality studies associated with voltage sags [5]- [12]. These applications are based on two methods: analytical [5], [6], [7], [9], [11] and Monte Carlo Simulation (MCS) [8], [10], [12]. The probabilistic assessment of voltage sags through the analytical method is usually based in two techniques: critical distances [5], [6] and fault positions [9].…”
Section: Introductionmentioning
confidence: 99%
“…These techniques are based on the proposed approach in [13] to evaluate post-fault voltages due to short circuits along lines. On the other hand, the application of Monte Carlo Simulation in the probabilistic voltage sag assessment has been based on state space representation, that is, non-sequential MCS [10], [12]. The computational effort of the analytical approaches to carry out a probabilistic analysis of voltage sags is usually lower than the one associated with MCS.…”
Section: Introductionmentioning
confidence: 99%