240760RMP's Proposed Utah Service Reliability Performance Baselines 1-7-2013

8/19/2019 240760RMP's Proposed Utah Service Reliability Performance Baselines 1-7-2013

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Utah Service Reliability

Performance Baselines

Pursuant to Utah Public Service Commission Rule R746-313

January 4 !"13

Utah Service Reliability Performance Baselines Page 1


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#able of Contents

Table of Contents..................................................................................................................

Executive Summary..............................................................................................................

1.0 S!"! an# S!$! Performance Baselines......................................................................

%.0 "ata Collection................................................................................................................

%.1 &onitoring' Recor#ing an# Re(orting Reliability......................................................

%.% Reliability "efinitions.................................................................................................

%.) Performance Ty(es * Commitments........................................................................

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$%ecutive Summary

Utah Public Service Commission Rule R+,-)1),/%' reuires that an electric com(any 2hose

governing authority is the commission must file for commission a((roval of reliability (erformance baselines for S!"! /System verage !nterru(tion "uration !n#ex an# S!$!

/System verage !nterru(tion $reuency !n#ex reliability in#ices. $urther' the filing mustinclu#e3

/a the basis for the (ro(ose# S!"! an# S!$! values4 an#

/b i#entification of systems an# #escri(tion of internal (rocesses to collect' monitor an#analy5e interru(tion #ata an# events inclu#ing3

/i #efinitions of all (arameters use# to calculate the (ro(ose# stan#ar#s an# ma6or

event #ays' an# the time(erio# u(on 2hich the (ro(ose# stan#ar#s are base# /e.g.1%month rolling average' )-7#ay rolling average' annual average4

/ii i#entification of all (ro(ose# #eviations from !EEE 1)-- use# in the calculation

of reliability in#ices an# #etermination of ma6or event #ays4 an#

/iii a #escri(tion of all #ata estimation metho#s use# for the collection an#

calculation of S!"!' S!$!' C!"!' an# &!$!.

1.0 SAIDI and SAIFI Performance Baselines

PacifiCor(' #ba Roc8y &ountain Po2er' continues to monitor an# evaluate system reliability inUtah. !n the future' (erformance baselines may reuire mo#ification to recogni5e changes in the

system. The Com(any (ro(oses a control limit of un#erlying S!"! of 19+ minutes an# S!$!of 1.9 events 2ith a notification limit of %+0 minutes for S!"! an# %.7 events for S!$!.

The (erformance baselines 2ere base# on un#erlying #istribution interru(tions 2hich areexclusive of ma6or events as i#entifie# in !EEE 1)--%00):%01%. These interru(tions mo#erately

align to the normal #ay to #ay (erformance of the system an# (rovi#e a consistent vie2 for

evaluation of tren#s across time. $urther' un#erlying metrics exclu#es (rearrange# an# customer reueste# interru(tions' 2hich #o not correlate to inconvenience to customers.

The rules s(ecifically reuire the #evelo(ment of a lo2er an# higher threshol# of (erformance.t the control limit level' the Com(any an# Commission are ex(ecte# to be closely monitoring

(erformance using the Service ;uality Re(orts an# un#er the #irection of the Service ;uality

Revie2


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(re(are# its cause co#e 2eighte# history against 2hich any un#erlying (erformance variances

2oul# be com(are# sho2n in Table 1 an# %.

Since %007' the Com(any has a((lie# !EEE 1)--%00) ma6or event #efinitions' ho2ever' (rior

to that it a((lie# the (revious #efinition form !EEE 1)--1==9' 2hich results in historical (erformance #ifferent than that 2hich has been re(orte# in (rior Service ;uality Re(orts. bove

the Com(any (rovi#es historic S!"! (erformance consistently a((lying the current #efinition

for a ma6or event. Using this history' the Com(any calculates as a control limit a =7>confi#ence level on the (ast four years of history an# %01% forecast results' resulting in 19+

minutes. To establish a notification level for S!"! it a((lie# the highest S!"! across the

com(arable history.

#able 1& S'()( ratio by Cause Co*e

?an $eb &ar (r &ay ?une ?uly ug Se( @ct Aov "e

"istribution Eui(ment $ailure %%> %0> %%> %)> %,> %)> %7> %,> %,> %,> %,> %,

"istribution ightning 0> 0> 0> 1> 1> %> )> ,> ,> ,> ,> ,>

"istribution @(erational 1-> 1)> 1)> 1%> 1%> 11> 11> 11> 11> 11> 11> 1%

"istribution @ther %> 1> %> %> %> %> %> %> %> %> %> %>

"istribution Planne# @utages 1,> 1,> 1,> 1,> 1)> 1%> 1%> 1%> 1%> 1%> 1%> 1%

"istribution Un8no2n 9> -> +> +> +> 9> 9> 9> 9> 9> 9> 9>

"istribution egetation %> %> %> %> )> ,> ,> ,> ,> ,> ,> ,>

"istribution Deather /other than lightning +> 10> 11> 1%> 11> 11> 10> 10> => => => =>

"istribution Dil#life 1> 1> %> %> %> %> %> %> %> )> )> %>

oss of Su((ly "istribution Substation 7> )> %> )> )> )> )> )> )> %> %> %>

oss of Su((ly )0> %7> %%> %%> %%> %1> %0> %0> %1> %1> %1

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Similarly' using this history' the Com(any calculates as a control limit a =7> confi#ence level on

the (ast four years of history an# %01% forecast results' resulting in 1.9 events. To establish a

notification level for S!$! it a((lie# the highest S!$! across the com(arable history.



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#able !& S'(+( ratio by Cause Co*e

?an $eb &ar (r &ay ?une ?uly ug Se( @ct Aov "e

"istribution Eui(ment $ailure )%> %=> )1> )%> )%> )1> ),> ),> ))> ))> ))> ))

"istribution ightning 0> 0> 0> 1> %> %> )> ,> 7> ,> ,> ,>

"istribution @(erational 17> 1%> 1%> 11> 11> 11> 10> 10> 10> 11> 11> 11"istribution @ther %> 1> 1> 1> 1> %> %> %> %> 1> 1> 1>

"istribution Planne# @utages => => => => 9> +> 9> +> 9> 9> 9> 9>

"istribution Un8no2n 7> ,> ,> ,> ,> 7> 7> 7> 7> 7> 7> 7>

"istribution egetation )> %> %> )> ,> 7> 7> 7> 7> 7> 7> 7>

"istribution Deather /other than lightning 9> 1,> 17> 1-> 17> 17> 1)> 1%> 1%> 11> 11> 1%

"istribution Dil#life 1> 1> 1> 1> %> %> %> %> %> %> %> %>

oss of Su((ly "istribution Substation ,> )> )> )> )> )> )> )> )> %> %> %>

oss of Su((ly %)> %0> 19> 19> 1+> 1-> 1-> 17> 1-> 1-> 1-

The intent of the (lan is to evaluate an# communicate reliability results #elivere#. The Com(any'

ho2ever' cautions that 2hile general tren#s may be #etectable' un#erlying causes for these tren#s

are not al2ays obvious. $or instance' substantial variation in 2eather may lea# to significantly#iffering results. Dhile the Com(any believes such attention to system an# subsystem reliability

is critical to effective o(erations' com(arisons shoul# recogni5e influences that may im(act such

com(arisons. $or exam(le' as re(orting systems evolve they can influence system metrics' butactual customer ex(erience may remain the same as or be similar to (rior (erio#s. $urther'

com(arisons among com(anies re(orting similar metrics may not yiel# accurate or useful

conclusions #ue to #ifferences in #ata collection metho#s' customer #emogra(hics' system age or

(hysical environments.

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!&" )ata Collection

2.1 ,onitorin Recor*in an* Re.ortin Reliability

/o0 PacifiCor. ,onitors Reliability

PacifiCor( o(erates automate# outage management an# re(orting systems4 a #iagram of the #ataflo2 (rocess is sho2n belo2. Customer trouble calls an# SC" events are interface# 2ith the

Com(anys realtime net2or8 connectivity mo#el' its C"@PS system /Com(uter i#e#

"istribution @(erations System. By overlaying these events onto the net2or8 mo#el' the

(rogram infers outages at the a((ro(riate #evices /such as a transformer' fuse or otherinterru(ting #evice for all customers #o2n line of the interru(ting #evice. The outage is then

route# to a((ro(riate fiel# o(erations staff for restoration an# the outage event is recor#e# in the

Com(anys Pros(er:US outage re(ository. !n a##ition to this realtime mo#el of the systemselectrical flo2' the Com(any relies heavily u(on the SC" system it has in (lace. This

inclu#es the "is(atch og System /an ccess #atabase a((lication 2hich serves to collect all

events on SC"o(erable circuits. That #ata is then analy5e# for momentary interru(tions toestablish statelevel an# circuitlevel momentary interru(tion in#ices consistent 2ith in#ustry an#

statutory #efinitions.

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2.2 Reliability )efinitions

This section 2ill #efine the various terms1 use# 2hen referring to interru(tion ty(es' (erformance metrics an# the internal measures #evelo(e# to meet the (erformance (lans.

These #efinitions are not materially #ifferent than as #efine# in !EEE%00):%01%. !n a##ition'

the Com(any is not (ro(osing any #eviations for the calculation of reliability in#ices from

!EEE 1)--%00):%01%.

(nterru.tion #y.es

Sustained Outage

sustaine# outage is #efine# as an outage of greater than 7 minutes in #uration.

Momentary Outage Event

momentary outage is #efine# as an outage eual to or less than 7 minutes in #uration.

Roc8y &ountain Po2er has historically ca(ture# this #ata using substation brea8er fault

counts' but 2here SC" /Su(ervisory Control an# "ata cuisition Systems exist' uses

this #ata to calculate consistent 2ith !EEE 1)--%01%.

Reliability (n*ices

SAIDI = sustained customer minutes interrupted/ system customers served

S!"! /system average interru(tion #uration in#ex is an in#ustry#efine# term to #efine the

average #uration summe# for all sustaine# outages a customer ex(eriences in a given (erio#.

!t is calculate# by summing all customer minutes lost for sustaine# outages /those excee#ing 7minutes an# #ivi#ing by all customers serve# 2ithin the stu#y area. Dhen not ex(licitly

state# other2ise' this value can be assume# to be for a oneyear (erio#.

Daily SAIDI = sustained customer minutes interrupted (for the day)/ system customers

served

!n or#er to evaluate tren#s #uring a year an# to establish &a6or Event Threshol#s' a #aily

S!"! value is often use# as a measure. This conce(t 2as intro#uce# in !EEE Stan#ar# 1)--%01%. This is the #ays total customer minutes out of service #ivi#e# by the static customer

count for the year. !t is the total average outage #uration customers ex(erience# for that given

#ay. Dhen these #aily values are accumulate# through the year' it yiel#s the years S!"!results.

SAII = sustained customers interrupted / system customers served

S!$! /system average interru(tion freuency in#ex is an in#ustry#efine# term that attem(tsto i#entify the freuency of all sustaine# outages that the average customer ex(eriences #uring

a given timeframe. !t is calculate# by summing all customer interru(tions for sustaine#

outages /those excee#ing 7 minutes in #uration an# #ivi#ing by all customers serve# 2ithin

the stu#y area.

1!EEE 1)--%01% 2as a#o(te# by the !nstitute of Electrical an# Electronics Engineers /!EEE Commissioners on

&ay )1' %01%' 2hich (rovi#es the basis for the #efinitions of the terms use# in this #ocument.



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!AIDI = sustained average interruption duration inde" / sustained average interruption

fre#uency inde"

C!"! /customer average interru(tion #uration in#ex is an in#ustry#efine# term that is the

result of #ivi#ing the #uration of the average customers sustaine# outages by the freuency of

outages for that average customer. Dhile the Com(any #i# not originally s(ecify this metricun#er the umbrella of the Performance Stan#ar#s Program 2ithin the context of the Service

Stan#ar#s Commitments' it has since been #etermine# to be valuable for re(orting (ur(oses.

!t is #erive# by #ivi#ing PS1 /S!"! by PS% /S!$!.

MAII E &!$!E /momentary average interru(tion event freuency in#ex is an in#ustry#efine# term

that attem(ts to i#entify the freuency of all momentary interru(tion events that the averagecustomer ex(eriences #uring a given timeframe. !t is calculate# by counting all momentary

interru(tions 2hich occur 2ithin a 7 minute time (erio#' as long as the interru(tion event #i#

not result in a #evice ex(eriencing a sustaine# interru(tions. This seuence of events ty(ically

occurs 2hen the system is trying to reestablish energy flo2 after a faulte# con#ition' an# isassociate# 2ith circuit brea8ers or other automatic reclosing #evices.

$oc%out

oc8out is the state of #evice 2hen it attem(ts to reestablish energy flo2 after a faulte#

con#ition but is unable to #o so4 it systematically o(ens to #eenergi5e the facilities#o2nstream of the #evice then recloses until a loc8out o(eration occurs. The #evice then

reuires manual intervention to reenergi5e #o2nstream facilities. This is generally associate#

2ith substation circuit brea8ers an# is one of the variables use# in the com(anys calculation

of blen#e# metrics.

!EMI = for each customer/

interruptions during period CE&! is an acronym for Customers Ex(eriencing &ulti(le /&omentary Event an# Sustaine#!nterru(tions. This in#ex #e(icts re(etition of outages across the (erio# being re(orte# an#

can be an in#icator of recent (ortions of the system that have ex(erience# reliability

challenges.

!&I''

CP!== is an acronym for Circuit Performance !n#icator' 2hich uses 8ey reliability metrics of

the circuit to i#entify un#er(erforming circuits. !t exclu#es &a6or Event an# oss of Su((lyor Transmission outages. The variables an# euation for calculating CP! are3

CP! F !n#ex G //S!"! G D$ G A$ H /S!$! G D$ G A$ H /&!$!E G D$ G A$ H

/oc8outs G D$ G A$!n#ex3 10.-,7

S!"!3 Deighting $actor 0.)0' Aormali5ing $actor 0.0%=

S!$!3 Deighting $actor 0.)0' Aormali5ing $actor %.,)=&!$!E3 Deighting $actor 0.%0' Aormali5ing $actor 0.+0

oc8outs3 Deighting $actor 0.%0' Aormali5ing $actor %.00

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Therefore' 1"&64 2 3-year S'()( 2 "&3" 2 "&"!5 3-year S'(+( 2 "&3" 2 !&435 3-year ,'(+($2 "&!" 2 "&7"5 3-year breaer locouts 2 "&!" 2 !&""55 8 CP( Score

!&I

CP!07 is an acronym for Circuit Performance !n#icator' 2hich uses 8ey reliability metrics of

the circuit to i#entify un#er(erforming circuits. Unli8e CP!==' it inclu#es &a6or Event an#oss of Su((ly or Transmission outages. The calculation of CP!07 uses the same 2eighting

an# normali5ing factors as CP!==.

Performance #y.es

Roc8y &ountain Po2er recogni5es t2o categories of (erformance3 un#erlying (erformance

an# ma6or events. &a6or events re(resent the aty(ical' 2ith extraor#inary numbers an##urations for outages beyon# the usual. @r#inary outages are incor(orate# 2ithin un#erlying

(erformance. These ty(es of events are further #efine# belo2.

Ma*or Events &a6or Event is #efine# as a %,hour (erio# 2here S!"! excee#s a statistically #erive#

threshol# value /Reliability Stan#ar# !EEE 1)--%01% base# on the %.7 beta metho#ology.

+nderlying Events

Dithin the in#ustry' there has been a great nee# to #evelo( metho#ologies to evaluate yearonyear (erformance. This has le# to the #evelo(ment of metho#s for segregating outlier #ays'

via the a((roaches #escribe# above. Those #ays 2hich fall belo2 the statistically #erive#

threshol# re(resent Iun#erlyingJ (erformance' an# are vali# /2ith some minor consi#erations

for changes in re(orting (ractices for establishing an# evaluating meaningful (erformancetren#s over time. Un#erlying events inclu#es all sustaine# interru(tions' 2hether of a

controllable or noncontrollable cause' exclusive of ma6or events' (rearrange# an# customer

reueste# interru(tions.

!ontrolla,le Events

!n %009' the com(any i#entifie# the benefit of se(arating its trac8ing of outage causes intothose that can be classifie# as IcontrollableJ /an# thereby re#uce# through (reventive 2or8

from those that are InoncontrollableJ /an# thus cannot be mitigate# through engineering

(rograms. $or exam(le' outages cause# by #eteriorate# eui(ment or animal interference are

classifie# as controllable #istribution since the com(any can ta8e (reventive measures 2ith ahigh (robability to avoi# future recurrences4 2hile vehicle interference or 2eather events are

largely out of the com(anys control an# generally not avoi#able through engineering

(rograms. /!t shoul# be note# that Controllable Events is a subset of Un#erlying Events. TheCause Co#e nalysis section of this re(ort contains t2o tables for Controllable "istribution

an# Aoncontrollable "istribution' 2hich list the com(anys (erformance by #irect cause

un#er each classification. t the time that the Com(any establishe# the #etermination of controllable an# noncontrollable #istribution it un#ertoo8 significant root cause analysis of

each cause ty(e an# its (ro(er categori5ation /either controllable or noncontrollable. Thus'

2hen outages are com(lete# an# evaluate#' an# if the outage cause #esignation is im(ro(erly

i#entifie# as noncontrollable' then it 2oul# result in correction to the outages cause to



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(reserve the association bet2een controllable an# noncontrollable base# on the outage cause

co#e.

2.3 Performance #y.es 9 Commitments

PacifiCor( recogni5es t2o categories of (erformance3 un#erlying (erformance an# ma6or

events. &a6or events re(resent the aty(ical' 2ith extraor#inary numbers an# #urations for outages beyon# the usual. @r#inary outages are incor(orate# 2ithin un#erlying (erformance.

These ty(es of events are further #efine# belo2.

SAIDI-.ased Ma*or Event

S!"!Base# &a6or Event is #efine# as a %,hour (erio# 2here S!"! excee#s theannually statistically#erive# threshol# value' as #etaile# in !EEE "istribution Reliability

Stan#ar# P1)--%01%.

+nderlying Events

Dithin the in#ustry' there has been a great nee# to #evelo( metho#ologies to evaluate yearon

year (erformance. This has le# to the #evelo(ment of metho#s for segregating outlier #ays'via the a((roaches #escribe# above. Those #ays 2hich fall belo2 the statistically#erive#threshol# re(resent Iun#erlyingJ (erformance' an# are vali# /2ith some minor consi#erations

for changes in re(orting (ractices for establishing an# evaluating meaningful (erformance

tren#s over time. These events 2ill measure# against the S!"! an# S!$! (erformance baselines on a 1%month rolling (erio#.


Documents

240760RMP's Proposed Utah Service Reliability Performance Baselines 1-7-2013