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Distribution reliability June 25-27, 2014 Nashville, TN 1 2014 Transmission & Distribution Benchmarking Data Review Conference

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2014 Transmission & Distribution Benchmarking Data Review Conference. Distribution reliability. June 25-27, 2014 Nashville, TN. Agenda. Introduction and Guidelines Performance Profiles: Using them as a guide to the report and subsequent analytics Questionnaire and statistical report issues. - PowerPoint PPT Presentation

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Page 1: Distribution reliability

Distribution reliability

June 25-27, 2014

Nashville, TN

1

2014 Transmission & Distribution BenchmarkingData Review Conference

Page 2: Distribution reliability

Agenda

◼ Introduction and Guidelines◼ Performance Profiles: Using them as a guide to the report and

subsequent analytics◼ Questionnaire and statistical report issues

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Page 3: Distribution reliability

Guidelines

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Page 4: Distribution reliability

Distribution Reliability

Statistics◼ IEEE Standard 1366 has become the major guide for definitions on

distribution reliability. Though not every utility follows it exactly, some of the key issues identified by this standard include: Outage duration to be considered an interruption Definition of a major event (2.5 Beta Method) IEEE 1366-2012 can be purchased for download at:

• http://standards.ieee.org/findstds/standard/1366-2012.html There are still some reporting differences among utilities in terms of the

following: Step restoration reporting Level of reporting (are single services included) Accuracy of estimates

◼ We will also calculate “mileage adjusted” SAIDI and SAIFI values, as well as CEMIx values (adjusted for each integer level)

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Page 5: Distribution reliability

Distribution Reliability (cont)

Worst Circuit Performance◼ Many jurisdictions have introduced “worst circuit performance” measures. We have

asked questions around typical measures (e.g.“bottom 10%”), but do not cover all the possible variations.

◼ We also ask a few questions to highlight some of the adjustments to these measures (in particular low customer counts might skew the measures).

Outage Management System◼ We ask about OMS systems and features, along with enhancements utilities are

investing in to improve the restoration processes

Reliability Improvement Initiatives◼ Please take the time to provide brief but complete answers to recent improvement

initiatives that you have undertaken

Estimated Restoration Times◼ Customer research shows ERT’s are very important and that most utilities are

providing them under normal circumstances; please provide information on your experience with ERTs, both under normal conditions and in storm situations.

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Page 6: Distribution reliability

Changes For This Year

• A new version of IEEE 1366 was issued in 2012. There were no changes to the “2.5 Beta” method for identifying major events, although there is an acknowledgement of the limitations of the method.

• Significant changes include:

• The definition of CEMIn was changed to include the percentage of customers experiencing “n or more interruptions”. The previous definition was percentage of customers experiencing “more than n interruptions”. We will publish charts based on existing questions.

• Definitions were added for CELID, “Customers Experiencing Long Interruption Durations”

• Several new questions have been added under the topic Emergency Response. These are a part of our continuing efforts in the area of Storm Restoration. For the most part, they are either check box or text answers.

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Page 7: Distribution reliability

Practices vs. Initiatives

For our purposes:◼ Practices are activities, programs or processes that have been around

for a while. For these, sufficient time has passed in which to assess their success or failure. We mostly ask about practices that have proven successful in accomplishing a specific goal.

◼ Initiatives are new activities, programs or processes that have been enacted recently with the goal of improvement. These are so recent (1 to 2 years) that insufficient time has passed in which to assess their success.

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Page 8: Distribution reliability

Performance Profile

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Page 9: Distribution reliability

2013YE 2012YE

Mean Q1 Q2 Q3# of Bars

Mean Q1 Q2 Q3# of Bars

SAIFI (inc major events & planned interruptions)

1.32 0.83 1.25 1.78 10 1.51 0.94 1.35 1.92 17

SAIFI (ex major events 2.5 beta method)

1.05 0.74 1.02 1.25 10 1.00 0.69 0.89 1.14 16

CAIDI (inc major events & planned interruptions)

133.08 98.01 124.47 169.95 10 203.47 91.96 126.46 139.52 17

CAIDI (ex major events 2.5 beta method)

104.42 91.00 93.43 109.20 10 94.36 74.04 90.85 106.57 16

SAIDI (inc major events & planned interruptions)

181.49 97.85 141.98 261.26 10 325.14 105.00 157.12 233.50 17

SAIDI (ex major events 2.5 beta method)

111.27 67.44 110.85 123.56 10 94.84 65.81 73.83 115.58 16

Customer minutes interrupted per circuit miles [excluding major events]

4635 2805 3437 4898 10 4433 2941 4176 5056 17

Interruptions per 100 circuit miles [excluding major events]

4282 2946 3758 4600 10 4517 2916 4629 5680 17

Percent of customers with <3 interruptions last year

79.68% 90.50% 76.53% 73.76% 6

Percent of customers with <4 interruptions last year

86.82% 95.50% 86.45% 84.22% 6

Distribution Line Reliability Profile

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Page 10: Distribution reliability

Statistical Report

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Page 11: Distribution reliability

SAIDI – Excluding Major Events (2.5 Beta)

Last Year This Year

11Report p7

Page 12: Distribution reliability

SAIDI – Excluding Major Events

Last Year This Year

12

Report p 6

Page 13: Distribution reliability

SAIFI – Excluding Major Events (2.5 Beta)

Last Year This Year

13Report p 11

Page 14: Distribution reliability

SAIFI – Excluding Major Events

Last Year This Year

14Report p 10

Page 15: Distribution reliability

Customer Interruptions by Cause

Two years ago, several companies had “Other” as more than 10% of customer interruptions. After looking at what was included in “Other”, we added “Unknown” as a category. This year, only 1 is significantly over 10%.Meanings of “Other” are on the next page.

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Report p 39

Page 16: Distribution reliability

Meaning of “other” in outage cause tabulations

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Report p 30

Of the 7 companies reporting meanings of “Other”, 5 mentioned “error” of one type or another. Should we consider adding “Error” as a cause next year?

Page 17: Distribution reliability

Percent Of Customers By Number Of Interruptions

All add to 100%, as they should

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Calculation used:DR65.1 , DR65.2 , DR65.3 , DR65.4 , DR65.5

This chart is not in the report. It is similar to p45.

Page 18: Distribution reliability

DATA VALIDATION CHARTS

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Page 19: Distribution reliability

DV| SAIDI/SAIFI/CAIDI

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Value should be near 1.00. Values range from 0.9965 to 1.0064. These are well within the range we expect to see. Some of these have been updated since the data validation webinars.

Report p 37

Page 20: Distribution reliability

DV: SAIDI (DR5) / SAIDI ALLOCATED (DR30) - EXCLUDING MAJOR EVENTS [V.13]

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The sum of DR30, less the major events category, should be equal to the response to DR5.1B, giving a ratio for this chart of 1.0

Companies 27 and 28 are significantly less than 1.0; please check your answers. The same two companies have similar issues with SAIFI (DR5)/SAIFI Allocated (DR40).

Report p 29, 37

Page 21: Distribution reliability

Issues Found: Distribution Reliability

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Page # Q # Primary Issue Who

39, 40, 41 DR30, 35, 40, 45

Significant occurrence of “Other” category. Add “error” as a category (next year).

1QC, Leaders

29,37 DR5, DR30, DR40

Mismatch between SAIDI and SAIFI numbers reported in DR5 and the sum of the answers to DR30 and DR40.

27, 28

84,86 DR225DR235

Do not include company-identifying information in your response (e.g., States in which you operate)

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92 DR260 Please describe the output(s) of your models (i.e., what is predicted?)

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96 DR280 Response does not answer the question on whether you ever use a “Patrol, Inspect, Repair” Strategy” on any events (see Glossary definition)

28

97 DR285 Explain what “HRC” is means 28

103 DR310 Please summarize the criteria that are defined in your emergency operations plan

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Page 22: Distribution reliability

Thank you for your Input and Participation!

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