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Distribution reliability June 26-28, 2013 Savannah, GA 1 2013 Transmission & Distribution Benchmarking Data Review Conference.

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Presentation on theme: "Distribution reliability June 26-28, 2013 Savannah, GA 1 2013 Transmission & Distribution Benchmarking Data Review Conference."— Presentation transcript:

1 Distribution reliability June 26-28, 2013 Savannah, GA Transmission & Distribution Benchmarking Data Review Conference

2 Agenda Introduction and Guidelines Performance Profiles: Using them as a guide to the report and subsequent analytics Questionnaire and statistical report issues 2

3 Guidelines 3

4 Distribution Reliability 4 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 can be purchased for download at: 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)

5 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 ERTs 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. 5

6 Changes For This Year A new version of IEEE 1366 was issued in 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 CEMI n 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 We added questions based on a proposed definition of ERT accuracy. We proposed a definition where a restoration was required to be within a window X minutes before or Y minutes after the Estimated Restoration Time to be Accurate. If you use such a definition, please respond. 6

7 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. 7

8 Performance Profile 8

9 2012 YE2011YE MeanQ1Q2Q3 # of Bars MeanQ1Q2Q3 # of Bars SAIFI (inc major events & planned interruptions) SAIFI (ex major events 2.5 beta method) CAIDI (inc major events & planned interruptions) CAIDI (ex major events 2.5 beta method) SAIDI (inc major events & planned interruptions) SAIDI (ex major events 2.5 beta method) Customer minutes interrupted per circuit miles [excluding major events] Interruptions per 100 circuit miles [excluding major events] % of customers with less than 3 interruptions 82.03%92.70%86.00%81.30% %87.52%77.00%73.78%13 Distribution Line Reliability Profile 9

10 Statistical Report 10

11 SAIDI – Excluding Major Events (2.5 Beta) Last Year This Year 11 Report p6

12 SAIDI – Excluding Major Events Last Year This Year 12 Report p 5

13 SAIFI – Excluding Major Events (2.5 Beta) Last Year This Year 13 Report p 10

14 SAIFI – Excluding Major Events Last Year This Year 14 Report p 9

15 SAIDI Percent Of Minutes By Cause Last year, several companies had Other as more than 10% of customer minutes. 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. 15 Report p 30

16 Meaning of other in outage cause tabulations Other Pct 16 1% 10% 15% 11% 6% 1% 27% 0% 35 % 3% Report p 29

17 Customer interruptions by duration Numbers appear to be too small for two companies. The purpose of this question is to see the frequency distribution of outage durations rather than the absolute number. Numbers are too small 17 Report p 48

18 Percent Of Customers By Number Of Interruptions The total should be 100%. 23 shows slightly less than 100%, 30 shows more than 100%, 32 shows practically zero. 18 Calculation used: DR65.1, DR65.2, DR65.3, DR65.4, DR65.5 This chart is not in the report. It is similar to p45.

19 DATA VALIDATION CHARTS 19

20 DV| SAIDI/SAIFI/CAIDI 20 Value should be near All are over 0.99 or less than 1.01 except #30, which is 0.981; probably OK, but check please. Report p 16

21 DV: SAIDI (DR5) / SAIDI ALLOCATED (DR30) - EXCLUDING MAJOR EVENTS [V.13] 21 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 Several companies are significantly over or under (>1, or <1). Please check your results. #18s responses to DR5 excluding major events values are all zero. If there were no major events, the responses to the excluding major events questions should be the same as the values including major events. Report p 28

22 DV: SAIFI (DR5) / SAIFI ALLOCATED (DR40) [V.13] 22 The ratio should be very near 1.0 – All except #17 look OK; please check your data. Report p 36

23 Issues Found: Distribution Reliability 23 Page #Q #Primary IssueWho 5,6,9,10,13,14, others DR5If there were no major events, answers to SAIDI, SAIFI, CAIDI excluding events should be the same as the values including major events DR31#23 reported meanings for Other, but did not report any value for Other in the previous question 23 48DR8023 and 39 sum of values is considerably less than 100%, Check data, the sum should equal the sum of values from DR45 23, 39 None, see slide 18 of this presentation DR65The total should be 100%. 23 shows slightly less than 100%, 30 shows more than 100%, 32 shows practically zero. 23, 30, 32 16DR5For this data validation chart, the value should be near All are over 0.99 or less than 1.01 except #30, which is 0.981; possibly OK, but check please DR5, DR30 Several companies are significantly over or under (>1, or <1). Please check your results. 23, 28, 30, 32, 34 36DR5, DR40 The ratio should be very near 1.0 – All except #17 look OK; please check your data. 17 All SAIDI, SAIFI, CAIDI DR5If you use the 2.5Beta method as your standard way to exclude major events, put the same number in columns 2 and 3 of DR5. If you dont, put your number in column 2, and the 2.5 Beta number in column 3, or leave it blank. All

24 Thank you for your Input and Participation! 24 Corporate Offices California 400 Continental Blvd. Suite 600 El Segundo, CA (310) Maryland 3 Bethesda Metro Center Suite 700 Bethesda, MD (301) New York | Texas | Washington | Wisconsin First Quartile Consulting is a utility-focused consultancy providing a full range of consulting services including continuous process improvement, change management, benchmarking and more. You can count on a proven process that assesses and optimizes your resources, processes, leadership management and technology to align your business needs with your customers needs. Visit us at | Follow our updates on LinkedInwww.1stquartileconsulting.comLinkedIn About 1QC Satellite Offices Debi McLain Tim. Szybalski Dave Canon Dave Carter Your Presenters Ken Buckstaff


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