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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Probabilistic Estimation of Distribution Network Performance With Respect to Voltage Sags and Interruptions Considering Network Protection Setting-Part I: The Methodology

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Author(s):
Cebrian, Juan Carlos [1] ; Kagan, Nelson [1] ; Milanovic, Jovica V. [2, 3]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Polytech Sch, BR-05508010 Sao Paulo - Brazil
[2] Univ Manchester, Elect Power Engn, Manchester M13 9PL, Lancs - England
[3] Univ Manchester, Sch Elect & Elect Engn, External Affairs, Manchester M13 9PL, Lancs - England
Total Affiliations: 3
Document type: Journal article
Source: IEEE Transactions on Power Delivery; v. 33, n. 1, p. 42-51, FEB 2018.
Web of Science Citations: 9
Abstract

Nowadays, modern industrial processes are controlled by equipment highly sensitive to voltage sags and interruptions. Although the proposed methods in the literature allow utilities to estimate annual equipment trips due to voltage sags and permanent interruptions, they do not assess explicitly momentary interruptions. This paper proposes a probabilistic methodology that includes the attempts of reclosers to clear nonpermanent faults during the estimation of annual voltage sags and momentary interruptions at each busbar. Furthermore, voltage-tolerance ranges for each type of equipment are taken into account to quantify annual equipment trips due to voltage sags and momentary interruptions for each customer in the distribution network. The results allow the utility to identify a geographic area where sets of customers face high equipment trips during the year. The proposed methodology can be used by utilities to prioritize corrective measures to improve the quality of service to those customers most affected by annual equipment trips. (AU)

FAPESP's process: 12/05520-0 - ELECTRIC POWER DISTRIBUTION PLANNING IN THE CONTEXT OF SMART GRIDS CONSIDERING POWER QUALITY COSTS
Grantee:Juan Carlos Cebrian Amasifen
Support Opportunities: Scholarships in Brazil - Post-Doctoral