2007•Unpublished venueRequires access

Utility Experience Performing Probabilistic Risk Assessment for Operational Planning

Pei Zhang, Liang Min, Liana Hopkins, B. Fardanesh

Open publisher page 20 citations

Abstract

EPRI has developed a probabilistic risk/reliability assessment (PRA) method under power delivery reliability initiative, which has been successfully implemented by various energy companies in planning studies of growing complexity. Unlike the traditional deterministic contingency analysis, PRA combines a probabilistic measure of the likelihood of undesirable events with a measure of the consequence of the events (that is, the impact) into a single reliability index -probabilistic reliability index (PRI). EPRI internally developed the PRI program that uses contingency analysis results as well as the transmission facility outage information as input to compute and graphically display the reliability indices. This paper presents an application of PRI program to study the transmission network of New York Power Authority (NYPA). This work has demonstrated that the PRA method significantly improves the ability of conducting effective transmission operational planning. The paper represents the collaborative effort between EPRI and NYPA

About this research paper

What this paper is about

EPRI has developed a probabilistic risk/reliability assessment (PRA) method under power delivery reliability initiative, which has been successfully implemented by various energy companies in planning studies of growing complexity. Unlike the traditional deterministic contingency analysis, PRA combines a probabilistic measure of the likelihood of undesirable events with a measure of the consequence of the events (that is, the impact) into a single reliability index -probabilistic reliability index (PRI). EPRI internally developed the PRI program that uses contingency analysis results as well as the transmission facility outage information as input to compute and graphically display the reliability indices. This paper presents an application of PRI program to study the transmission network of New York Power Authority (NYPA). This work has demonstrated that the PRA method significantly improves the ability of conducting effective transmission operational planning. The paper represents the collaborative effort between EPRI and NYPA

Why it matters

OpenAlex reports 20 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

EPRI has developed a probabilistic risk/reliability assessment (PRA) method under power delivery reliability initiative, which has been successfully implemented by various energy companies in planning studies of growing complexity. Unlike the traditional deterministic contingency analysis, PRA combines a probabilistic measure of the likelihood of undesirable events with a measure of the consequence of the events (that is, the impact) into a single reliability index -probabilistic reliability index (PRI). EPRI internally developed the PRI program that uses contingency analysis results as well as the transmission facility outage information as input to compute and graphically display the reliability indices. This paper presents an application of PRI program to study the transmission network of New York Power Authority (NYPA). This work has demonstrated that the PRA method significantly improves the ability of conducting effective transmission operational planning. The paper represents the collaborative effort between EPRI and NYPA

Key concepts: Probabilistic logic, Reliability (semiconductor), Reliability engineering, Computer science, Probabilistic risk assessment, Electric power system, Measure (data warehouse), Operational planning

Related papers

Back to paper searchBrowse research topicsOriginal source
Utility Experience Performing Probabilistic Risk Assessment for Operational Planning — Research Paper | ScholarLens