DocumentCode
647630
Title
Vulnerability analysis of power distribution systems for cost-effective resource allocation
Author
Wallnerstrom, Carl Johan ; Hilber, Patrik
Author_Institution
Electr. Eng., KTH, Stockholm, Sweden
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
1
Abstract
Summary form only given. This paper proposes a method to allocate resources in power distribution planning and also introduces a new reliability index category, RT, flexibility to adjust to different laws or distribution system operator (DSO) policies of long outages. Possible legal consequences for distribution system operators are first identified and studied. A vulnerability-analysis method is introduced, including a statistical validation. The overall idea is to identify and evaluate possible states of power distribution systems using quantitative reliability analyses. Results should thus indicate how available resources (both human recourses and equipment) could be better utilized, e.g., in maintenance and holiday scheduling and in evaluating whether additional security should be deployed for certain forecasted weather conditions. To evaluate the method, an application study has been per- formed based on hourly weather measurements and about 65 000 detailed failure reports over eight years for two distribution systems in Sweden. Months, weekdays, and hours have been compared and the vulnerability of several weather phenomena in these areas has been evaluated. Of the weather phenomena studied, only heavy snowfall and strong winds, especially in combination, significantly affect the reliability. Temperature (frost), rain, and snow depth have a relatively low or no impact.
Keywords
power distribution planning; power distribution reliability; power system identification; power system security; resource allocation; statistical analysis; DSO policy; RT; Sweden; cost-effective resource allocation; distribution system operator policy; forecasted weather condition; holiday scheduling; hourly weather measurement; maintenance; power distribution planning system; power system identification; quantitative reliability analyses; reliability index category; security; statistical validation; vulnerability-analysis method; Electrical engineering; Law; Meteorology; Planning; Power distribution; Reliability; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672145
Filename
6672145
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