Pregled bibliografske jedinice broj: 787153
Distribution Network Reliability and Asset Management
Distribution Network Reliability and Asset Management // Proceedings of International Conference on Condition Monitoring, Diagnosis and Maintenance 2015 / Cigre Romania (ur.).
Bukurešt, 2015. str. 205-214 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 787153 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Distribution Network Reliability and Asset Management
Autori
Pavić, Ivan ; Holjevac, Ninoslav ; Jurković, Kristina ; Kuzle, Igor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of International Conference on Condition Monitoring, Diagnosis and Maintenance 2015
/ Cigre Romania - Bukurešt, 2015, 205-214
Skup
International Conference on Condition Monitoring, Diagnosis and Maintenance 2015 CMDM 2015 (3rd edition)
Mjesto i datum
Bukurešt, Rumunjska, 05.10.2015. - 08.10.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Distribution network – Reliability analyses – Reliability indices – Power supply.
Sažetak
A program called DISPO (“distribution reliability”) for power system analysis was developed in Croatian Distribution System Operator Company (HEP-ODS). Its main goal is to gather data such as transformer or line outages (statistics of operation events) and to produce reports based on this data. This paper uses gathered data for reliability indices calculation such as System Average Interference Frequency Index (SAIFI), System Average Interference Duration Index (SAIDI) and Customer Average Interference Duration Index (CAIDI). The thorough model of one distribution area that incorporates above-mentioned data form DISPO is developed using power system analysis software NEPLAN. Methodology for reliability indices calculation in NEPLAN is described and used on developed network model. Reliability analyses is part of distribution network optimization and planning process, so the whole process is explained for better understanding. Numerous load point (average failure rate, average outage time, average annual outage time etc.) and system reliability indices (SAIDI, SAIFI, CAIDI etc.) are calculated using NEPLAN for feeders, substations and distribution area. Energy Not Supplied (ENS) is also calculated and analyzed. Possible network improvements such as new interconnection points between feeders or automatization of disconnect switches for feeders’ reliability increase are simulated and described. Finally, detailed asset management for observed area is formed and combined with reliability analyses. Main goal is to show on a realistic network model how statistics of operational events contribute to distribution network optimization and planning and how proper network planning can increase availability of distribution network.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb