Evaluating the Performance of the IEEE Standard 1366 Method for Identifying Major Event Days
| Autor: | Joseph H. Eto, Heidemarie C. Caswell, Kristina Hamachi LaCommare, Michael D. Sohn |
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| Rok vydání: | 2017 |
| Předmět: |
Engineering
Index (economics) reliability Energy business.industry Event (computing) 020209 energy system average interruption duration index IEEE Standard 1366 Energy Engineering and Power Technology 02 engineering and technology computer.software_genre major events Large sample Reliability engineering Market segmentation 0202 electrical engineering electronic engineering information engineering Electricity reliability power system reliability Metric (unit) Data mining Electrical and Electronic Engineering business computer Reliability (statistics) |
| Zdroj: | IEEE Transactions on Power Systems, vol 32, iss 2 Eto, JH; Lacommare, KH; Sohn, MD; & Caswell, HC. (2017). Evaluating the Performance of the IEEE Standard 1366 Method for Identifying Major Event Days. IEEE Transactions on Power Systems, 32(2), 1327-1333. doi: 10.1109/TPWRS.2016.2585978. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/46b9x7j8 |
| Popis: | © 1969-2012 IEEE. IEEE Standard 1366 offers a method for segmenting reliability performance data to isolate the effects of major events from the underlying year-to-year trends in reliability. Recent analysis by the IEEE Distribution Reliability Working Group (DRWG) has found that reliability performance of some utilities differs from the expectations that helped guide the development of the Standard 1366 method. This paper proposes quantitative metrics to evaluate the performance of the Standard 1366 method in identifying major events and in reducing year-to-year variability in utility reliability. The metrics are applied to a large sample of utility-reported reliability data to assess performance of the method with alternative specifications that have been considered by the DRWG. We find that none of the alternatives perform uniformly 'better' than the current Standard 1366 method. That is, none of the modifications uniformly lowers the year-to-year variability in System Average Interruption Duration Index without major events. Instead, for any given alternative, while it may lower the value of this metric for some utilities, it also increases it for other utilities (sometimes dramatically). Thus, we illustrate some of the trade-offs that must be considered in using the Standard 1366 method and highlight the usefulness of the metrics we have proposed in conducting these evaluations. |
| Databáze: | OpenAIRE |
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