Ranking of power system contingencies based on a risk quantification criterion

Contingency analysis is an integral part of modern energy management system. Traditionally, contingencies are analyzed to check a predefined, deterministic set of limit violations. Contingencies are then ranked according to the severity of the violations. However, this approach treats all contingenc...

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Main Authors: Tan, Wen Shan, El-Moneim Shaaban, Mohamed Abd.
Format: Conference or Workshop Item
Published: 2015
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Online Access:http://eprints.utm.my/id/eprint/61333/
http://ieeemy.org/mysection/?p=2326
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spelling my.utm.613332017-08-06T03:26:04Z http://eprints.utm.my/id/eprint/61333/ Ranking of power system contingencies based on a risk quantification criterion Tan, Wen Shan El-Moneim Shaaban, Mohamed Abd. TK Electrical engineering. Electronics Nuclear engineering Contingency analysis is an integral part of modern energy management system. Traditionally, contingencies are analyzed to check a predefined, deterministic set of limit violations. Contingencies are then ranked according to the severity of the violations. However, this approach treats all contingency events equally likely; as far as the probability of occurrence is concerned. This paper describes a ranking approach that accounts for both the severity and likelihood of the underlying system contingencies. A risk-based contingency ranking (RCR) metric is developed which incorporates limit violations associated with bus voltages and transmission line thermal limits along with their failure rates. The proposed approach is applied to the IEEE 14 bus system and IEEE RTS 24 bus system. A comparison is carried out between the traditional contingency ranking based on severity only and the proposed approach using the RCR metric. The merits and limitations of each approach are further discussed in light of the current operating practices of power systems which include a growing number of uncertainties. 2015 Conference or Workshop Item PeerReviewed Tan, Wen Shan and El-Moneim Shaaban, Mohamed Abd. (2015) Ranking of power system contingencies based on a risk quantification criterion. In: IEEE Student Conference on Research and Developement (SCORED), 13-14 Dec, 2015, Kuala Lumpur, Malaysia. http://ieeemy.org/mysection/?p=2326
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Tan, Wen Shan
El-Moneim Shaaban, Mohamed Abd.
Ranking of power system contingencies based on a risk quantification criterion
description Contingency analysis is an integral part of modern energy management system. Traditionally, contingencies are analyzed to check a predefined, deterministic set of limit violations. Contingencies are then ranked according to the severity of the violations. However, this approach treats all contingency events equally likely; as far as the probability of occurrence is concerned. This paper describes a ranking approach that accounts for both the severity and likelihood of the underlying system contingencies. A risk-based contingency ranking (RCR) metric is developed which incorporates limit violations associated with bus voltages and transmission line thermal limits along with their failure rates. The proposed approach is applied to the IEEE 14 bus system and IEEE RTS 24 bus system. A comparison is carried out between the traditional contingency ranking based on severity only and the proposed approach using the RCR metric. The merits and limitations of each approach are further discussed in light of the current operating practices of power systems which include a growing number of uncertainties.
format Conference or Workshop Item
author Tan, Wen Shan
El-Moneim Shaaban, Mohamed Abd.
author_facet Tan, Wen Shan
El-Moneim Shaaban, Mohamed Abd.
author_sort Tan, Wen Shan
title Ranking of power system contingencies based on a risk quantification criterion
title_short Ranking of power system contingencies based on a risk quantification criterion
title_full Ranking of power system contingencies based on a risk quantification criterion
title_fullStr Ranking of power system contingencies based on a risk quantification criterion
title_full_unstemmed Ranking of power system contingencies based on a risk quantification criterion
title_sort ranking of power system contingencies based on a risk quantification criterion
publishDate 2015
url http://eprints.utm.my/id/eprint/61333/
http://ieeemy.org/mysection/?p=2326
_version_ 1643655139758702592
score 13.214268