Security assessment in active distribution networks with change in weather patterns

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

Colleges, School and Institutes

External organisations

  • Dept. of Electrical and Computer Engineering, Curtin University

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.

Details

Original languageEnglish
Title of host publication2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Publication statusPublished - 20 Nov 2014
Event2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Durham, United Kingdom
Duration: 7 Jul 201410 Jul 2014

Publication series

NameInternational Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Volume2014

Conference

Conference2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014
CountryUnited Kingdom
CityDurham
Period7/07/1410/07/14

Keywords

  • Active distribution networks, intermittent distributed generation, Monte Carlo simulation, security of supply, weather condition modeling