A Comprehensive Data Driven Outage Analysis for Assessing Reliability of the Bulk Power System

Meghna Barkakati; Anamitra Pal

doi:10.1109/PESGM40551.2019.8974110

A Comprehensive Data Driven Outage Analysis for Assessing Reliability of the Bulk Power System

Meghna Barkakati, Anamitra Pal

Engineering, Ira A. Fulton Schools of (IAFSE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

This paper presents a comprehensive overview of how historical outage data can be analyzed to determine the reliability of the bulk power system (BPS) using both outage frequency and outage duration metrics. In addition to outage analysis, different outage categories are analyzed and prioritized according to their outage severity level. A new reliability indicator, Outage Impact Index (OII) is also proposed which identifies annual system risks for a given voltage class. The key performance indices discussed in this paper can be used by power utilities to quantify and assess transmission system performance, establish baselines from chronological trends, and minimize system risks by developing corrective measures.

Original language	English (US)
Title of host publication	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728119816
DOIs	https://doi.org/10.1109/PESGM40551.2019.8974110
State	Published - Aug 2019
Event	2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States Duration: Aug 4 2019 → Aug 8 2019

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2019-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/Territory	United States
City	Atlanta
Period	8/4/19 → 8/8/19

Keywords

Bulk power system (BPS)
outage duration
outage frequency
reliability indices
statistical analysis

ASJC Scopus subject areas

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

Access to Document

10.1109/PESGM40551.2019.8974110

Cite this

A Comprehensive Data Driven Outage Analysis for Assessing Reliability of the Bulk Power System. / Barkakati, Meghna; Pal, Anamitra.
2019 IEEE Power and Energy Society General Meeting, PESGM 2019. IEEE Computer Society, 2019. 8974110 (IEEE Power and Energy Society General Meeting; Vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Barkakati, M & Pal, A 2019, A Comprehensive Data Driven Outage Analysis for Assessing Reliability of the Bulk Power System. in 2019 IEEE Power and Energy Society General Meeting, PESGM 2019., 8974110, IEEE Power and Energy Society General Meeting, vol. 2019-August, IEEE Computer Society, 2019 IEEE Power and Energy Society General Meeting, PESGM 2019, Atlanta, United States, 8/4/19. https://doi.org/10.1109/PESGM40551.2019.8974110

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abstract = "This paper presents a comprehensive overview of how historical outage data can be analyzed to determine the reliability of the bulk power system (BPS) using both outage frequency and outage duration metrics. In addition to outage analysis, different outage categories are analyzed and prioritized according to their outage severity level. A new reliability indicator, Outage Impact Index (OII) is also proposed which identifies annual system risks for a given voltage class. The key performance indices discussed in this paper can be used by power utilities to quantify and assess transmission system performance, establish baselines from chronological trends, and minimize system risks by developing corrective measures.",

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AB - This paper presents a comprehensive overview of how historical outage data can be analyzed to determine the reliability of the bulk power system (BPS) using both outage frequency and outage duration metrics. In addition to outage analysis, different outage categories are analyzed and prioritized according to their outage severity level. A new reliability indicator, Outage Impact Index (OII) is also proposed which identifies annual system risks for a given voltage class. The key performance indices discussed in this paper can be used by power utilities to quantify and assess transmission system performance, establish baselines from chronological trends, and minimize system risks by developing corrective measures.

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KW - outage duration

KW - outage frequency

KW - reliability indices

KW - statistical analysis

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A Comprehensive Data Driven Outage Analysis for Assessing Reliability of the Bulk Power System

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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