Title :
Distribution network equivalents for reliability analysis. Part 1: Aggregation methodology
Author :
Hernando-Gil, Ignacio ; Hayes, Barry ; Collin, Adam ; Djokic, Sasa
Author_Institution :
Inst. for Energy Syst., Univ. of Edinburgh, Edinburgh, UK
Abstract :
This paper, which is part one of a two-part series, presents a general methodology for reducing system complexity by calculating the electrical and reliability equivalent models of low and medium voltage distribution networks. These equivalent models help to reduce calculation times while preserving the accuracy assessment of power system reliability performance. The analysis is applied to typical UK distribution systems, which supply four generic load sectors with different networks and demand compositions (residential, commercial and industrial). This approach allows for a direct correlation between reliability performance and network characteristics, while assessing the most representative aggregate values of failure rates and repair times of power components at each load sector. These are used in the Part 2 paper for assessing the potential benefits of energy storage and demand-side resources on the reliability performance of different generic distribution networks.
Keywords :
maintenance engineering; power distribution faults; power distribution reliability; UK distribution systems; aggregation methodology; demand compositions; demand-side resources; distribution network equivalents; electrical equivalent models; energy storage; failure rates; generic distribution networks; generic load sectors; load sector; low voltage distribution networks; medium voltage distribution networks; network characteristics; power components; power system reliability performance; reliability analysis; reliability equivalent models; reliability performance; repair times; representative aggregate values; Automatic voltage control; Current measurement; Hardware; Inverters; Voltage fluctuations; Voltage measurement; Distribution system; equivalent network model; failure rate; mean repair time; reliability analysis;
Conference_Titel :
Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
Conference_Location :
Lyngby
DOI :
10.1109/ISGTEurope.2013.6695450