LEADER 02092nam 2200373 450 001 996574983103316 005 20231214123542.0 010 $a1-5044-9115-7 035 $a(CKB)4100000012897282 035 $a(NjHacI)994100000012897282 035 $a(EXLCZ)994100000012897282 100 $a20231214d2022 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a1782-2022 - IEEE Guide for Collecting, Categorizing, and Utilizing Information Related to Electric Power Distribution Interruption Events - Redline /$fIEEE 210 1$aNew York :$cIEEE,$d2022. 215 $a1 online resource (191 pages) 330 $aElectric power system reliability remains an important societal issue. Transmission disturbances draw national attention and scrutiny, but service interruptions at the distribution level are the primary concern of end-use customers and their regulatory and governmental representatives. Much effort has been expended on developing methods to uniformly and consistently quantify the reliability of distribution service based on the distribution grid's performance. The collection, categorization, and use of information related to electric power distribution interruption events are discussed in this guide. When combined with IEEE Std 1366, consistency in how the industry collects data for the purpose of benchmarking distribution system performance, is achieved. 606 $aElectric power failures 606 $aAutomatic data collection systems 606 $aBenchmarking (Management)$xData processing 615 0$aElectric power failures. 615 0$aAutomatic data collection systems. 615 0$aBenchmarking (Management)$xData processing. 676 $a621.319 801 0$bNjHacI 801 1$bNjHacl 906 $aDOCUMENT 912 $a996574983103316 996 $a1782-2022 - IEEE Guide for Collecting, Categorizing, and Utilizing Information Related to Electric Power Distribution Interruption Events - Redline$93881768 997 $aUNISA