A Survey of Reliability Reporting Practices

A majority of states require electric utilities to regularly report reliability statistics. For utilities where reliability reporting is a regulatory obligation, the systems and processes behind these statistics are also of regulatory concern. This is especially true since variations in systems and processes can have a material impact on results, and can make statistical comparisons misleading. This paper presents the survey results of twenty-two large investor-owned utilities in the United States, all with reliability reporting obligations. Based on these surveys, comparisons are made in the following categories: event capture, start time, customer count, step restoration, restoration time, verification of events, process for computing reliability indices, and escalated events. An overall comparison is also provided, and the paper ends with a discussion on industry trends

[1]  D. Pearson,et al.  A Nationwide Survey of Recorded Information Used for Calculating Distribution Reliability Indices , 2003, IEEE Power Engineering Review.

[2]  Hua Li,et al.  A novel system for automatic generation of service reliability reports from automated mapping and facility management (AM/FM) systems , 2002 .

[3]  T. D. Nielsen,et al.  Improving outage restoration efforts using rule-based prediction and advanced analysis , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[4]  Yan Liu,et al.  Intelligent system applications in distribution outage management , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[5]  D. Pearson,et al.  Distribution reliability assessment. Distribution power system reliability data collection , 2002, IEEE Power Engineering Society Summer Meeting,.

[6]  D. S. Blew,et al.  Outage management systems: surviving the implementation , 2001, 2001 IEEE/PES Transmission and Distribution Conference and Exposition. Developing New Perspectives (Cat. No.01CH37294).

[7]  C. Warren,et al.  Reliability on the regulatory horizon , 2001, 2001 IEEE/PES Transmission and Distribution Conference and Exposition. Developing New Perspectives (Cat. No.01CH37294).

[8]  D. F. Hall,et al.  Outage management systems as integrated elements of the distribution enterprise , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[9]  D. S. Blew,et al.  Outage management systems: surviving the implementation , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[10]  R. E. Brown,et al.  Managing the risk of performance based rates , 2000 .

[11]  J. Burke,et al.  Using outage data to improve reliability , 2000 .

[12]  Hua Li,et al.  An incident based connectivity trace system for distribution network: algorithm and implementation , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[13]  S. Kearney,et al.  How outage management systems can improve customer service , 1998, ESMO '98 - 1998 IEEE 8th International Conference on Transmission and Distribution Construction, Operation and Live-Line Maintenance Proceedings ESMO '98 Proceedings. ESMO 98 The Power is in Your Hand.

[14]  L. F. Saunders,et al.  Automation of electrical equipment reliability report forms , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[15]  Bruce Humphrey,et al.  Mixed signals cloud reliability picture , 2002 .

[16]  S. Carter,et al.  Outage management system implementation and operations experience at Gulf Power Company , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[17]  Hahn Tram,et al.  Selection and implementation of an outage management system , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[18]  R. Cough,et al.  Critical success factors for outage management systems , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[19]  C. A. Warren,et al.  A survey of distribution reliability measurement practices in the US , 1999 .