2011 IEEE/PES Power Systems Conference and Exposition 2011
DOI: 10.1109/psce.2011.5772581
|View full text |Cite
|
Sign up to set email alerts
|

Prediction of voltage sag in the transmission system of Vietnam, A case study

Abstract: In this paper, a novel effort for prediction of voltage sag in the entire transmission system of Vietnam is presented. As the Vietnamese electricity industry moves toward the electricity market, prediction will help utilities have early assessment of power quality in transmission system. The proposed prediction approach uses a fault position method in which the fault distribution in the transmission system is created based on an actual fault occurrence in the entire 220kV and 500kV transmission system througho… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
3
0

Year Published

2012
2012
2021
2021

Publication Types

Select...
2
2

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 10 publications
0
3
0
Order By: Relevance
“…Regarding HV networks, several works deal with voltage sag analysis and prediction 9‐21 . These analyses are usually carried out using a stochastic approach.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Regarding HV networks, several works deal with voltage sag analysis and prediction 9‐21 . These analyses are usually carried out using a stochastic approach.…”
Section: Introductionmentioning
confidence: 99%
“…The work in Reference 15 presents the equations for the calculation of the sag magnitudes produced by both balanced and unbalanced faults, using the IEEE 30‐bus test system for computation. Conversely, a real power system (the actual 500‐220 kV transmission system of Vietnam) is studied in Reference 16. Numerical applications refer to real networks also in Reference 17, which proposes some indices of robustness to synthesize the bus performance.…”
Section: Introductionmentioning
confidence: 99%
“…It is possible to obtain the probabilistic characteristics of the sags that are needed to measure their severity by proper statistical indexes [6,21,22]. This allows derivation of the expected performance of a node or of the entire system in terms of e.g., the number of sags per year and the average amplitude of the sags.…”
mentioning
confidence: 99%