Identification of weak areas of the network based on exposure to voltage sags—part II: assessment to network performance using sag severity index

LIAO, Huilian, ABDELRAHMAN, Sami, GUO, Yue and MILANOVIĆ, Jovica V. (2015). Identification of weak areas of the network based on exposure to voltage sags—part II: assessment to network performance using sag severity index. IEEE Transactions on Power Delivery, 30 (6), 2401-2409.

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Official URL: http://ieeexplore.ieee.org/document/6926793/
Link to published version:: 10.1109/TPWRD.2014.2362957

Abstract

This paper presents a new stochastic approach to the comprehensive assessment of the impact of voltage sags on large-scale power networks. The approach takes into account the stochastic nature of power system operation, including load variation, uncertainty of fault clearing time by protection relays, fault rates of network components, and the variation/uncertainty in equipment sensitivity to voltage sags. A new duration zone division method is used to derive sag duration and occurrence frequency based on the stochastic distribution of clearing time required by specific protection systems. The adopted probabilistic representation facilitates estimation of network performance based on a single-event characteristic, sag severity index (SSI), developed in the companion paper (Part I). Based on SSI, a new single-site index with respect to voltage sags (bus performance index BPIS) is developed to comprehensively represent the overall bus performance with respect to voltage sags. The index is used to identify the areas of the network, called weak areas of the network in this paper, containing buses that are most exposed to potentially disruptive voltage sags. The application, robustness, and sensitivity of BPIS are thoroughly analyzed and discussed in the paper.

Item Type: Article
Additional Information: INSPEC Accession Number: 15602413
Identification Number: 10.1109/TPWRD.2014.2362957
Depositing User: Huilian Liao
Date Deposited: 24 Apr 2017 10:36
Last Modified: 13 Jun 2017 13:55
URI: http://shura.shu.ac.uk/id/eprint/14207

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