4 Distribution Reliability StatisticsIEEE 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 interruptionDefinition 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 reportingLevel of reporting (are single services included)Accuracy of estimatesWe 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 PerformanceMany 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 SystemWe ask about OMS systems and features, along with enhancements utilities are investing in to improve the restoration processesReliability Improvement InitiativesPlease take the time to provide brief but complete answers to recent improvement initiatives that you have undertakenEstimated Restoration TimesCustomer 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.
6 Changes For This YearA 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 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”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.
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.
9 Distribution Line Reliability Profile 2012 YE2011YEMeanQ1Q2Q3# of BarsSAIFI (inc major events & planned interruptions)1.410.841.321.57141.841.201.632.1423SAIFI (ex major events 2.5 beta method)0.870.640.801.091.161.011.3419CAIDI (inc major events & planned interruptions)156.7484.80119.53135.96272.02120.95214.95379.50CAIDI (ex major events 2.5 beta method)85.5471.1290.85102.11106.4683.77102.90118.36SAIDI (inc major events & planned interruptions)224.44102.44112.12206.87536.48166.33358.00755.64SAIDI (ex major events 2.5 beta method)80.9459.7570.39100.95122.1974.90115.00157.50Customer minutes interrupted per circuit miles [excluding major events]375723043322476315510632064644640920Interruptions per 100 circuit miles [excluding major events]37482303300350284165299938414771% of customers with less than 3 interruptions82.03%92.70%86.00%81.30%1074.50%87.52%77.00%73.78%13
11 SAIDI – Excluding Major Events (2.5 Beta) Last YearThis YearReport p6
12 SAIDI – Excluding Major Events Last YearThis YearReport p 5
13 SAIFI – Excluding Major Events (2.5 Beta) Last YearThis YearReport p 10
14 SAIFI – Excluding Major Events Last YearThis YearReport 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.Report p 30
16 Meaning of “other” in outage cause tabulations Other Pct1%10%15%11%6%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 smallReport 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.Calculation used:DR65.1 , DR65.2 , DR65.3 , DR65.4 , DR65.5This chart is not in the report. It is similar to p45.
20 DV| SAIDI/SAIFI/CAIDI 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 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 1.0Several companies are significantly over or under (>1, or <1). Please check your results.#18’s 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] 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 Page #Q #Primary IssueWho5,6,9,10,13,14, othersDR5If there were no major events, answers to SAIDI, SAIFI, CAIDI excluding events should be the same as the values including major events.1829DR31#23 reported meanings for “Other”, but did not report any value for “Other” in the previous question2348DR8023 and 39 sum of values is considerably less than 100%, Check data, the sum should equal the sum of values from DR4523, 39None, see slide 18 of this presentationDR65The total should be 100%. 23 shows slightly less than 100%, 30 shows more than 100%, 32 shows practically zero.23, 30, 3216For 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.3028DR5, DR30Several companies are significantly over or under (>1, or <1). Please check your results.23, 28, 30, 32, 3436DR5, DR40The ratio should be very near 1.0 – All except #17 look OK; please check your data.17All SAIDI, SAIFI, CAIDIIf 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 don’t, 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! Your PresentersKen BuckstaffDave CanonDave CarterDebi McLainTim. SzybalskiAbout 1QCFirst 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 customer’s needs.Visit us at | Follow our updates on LinkedInCorporate OfficesCalifornia400 Continental Blvd. Suite 600 El Segundo, CA (310)Satellite OfficesMaryland3 Bethesda Metro Center Suite 700 Bethesda, MD (301)New York | Texas | Washington | Wisconsin