DocumentCode :
157511
Title :
Security assessment in active distribution networks with change in weather patterns
Author :
Jayaweera, Dilan ; Islam, Shariful
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ., Perth, WA, Australia
fYear :
2014
fDate :
7-10 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
Security of supply of an active distribution network is constrained with increased presence of intermittent distributed generation, component outages, network constraints, change in weather patterns, and resource availability. Long term predictions of weather patterns are challenging, however, potential vulnerability of networks into change in weather patterns can be modeled with uncertainties distributing along the time frame of study. This paper investigates this problem in detail and proposes an improved approach to model the change in weather patterns and to assess the security of supply in an active distribution network. The approach incorporates Monte Carlo simulation and captures weather patterns in three modes dynamically. A case study is performed on a 24 bus active distribution network model, and the results suggest that the security of supply can be significantly affected with change in weather patterns. Change in weather patterns by 50% of the nominal weather can result in impacts on security of supply up to three times the nominal impacts.
Keywords :
Monte Carlo methods; distribution networks; power system security; Monte Carlo simulation; active distribution network model; active distribution networks; component outages; network constraints; security assessment; weather patterns change; Convergence; Distributed power generation; Load modeling; Monte Carlo methods; Security; Wind; Active distribution networks; Monte Carlo simulation; intermittent distributed generation; security of supply; weather condition modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
Conference_Location :
Durham
Type :
conf
DOI :
10.1109/PMAPS.2014.6960584
Filename :
6960584
Link To Document :
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