Scenario analysis to account for photovoltaic generation uncertainty in distribution grid reconfiguration

Parvathy Chittur Ramaswamy, Geert Deconinck, Jayakrishnan Radhakrishna Pillai

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

Abstract

This paper considers hourly reconfiguration of a low voltage distribution network with the objectives of minimizing power loss and voltage deviation. The uncertainty in photovoltaic (PV) generation which in turn will affect the optimum configuration is tackled with the help of scenario analysis. In the proposed strategy of the scenario analysis called the Internal method, final non-dominated solutions (configurations) will have a relative acceptable performance in all scenarios. The use of scenario analysis helps in reducing the number of switches that needs to be installed in order to cater for the uncertainty in PV generation. This is possible because the PV generation values for a given hour during different days are taken into account by means of defining various scenarios when finding out the optimum configuration. Non-dominated sorting genetic algorithm (NSGA-II) used in this paper generates non-dominated solutions, demonstrating their trade-offs. Finally, the best compromise solution can be selected depending on the decision maker's requirement.
Original languageEnglish
Title of host publicationProceedings of the 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013
Number of pages6
PublisherIEEE Press
Publication dateNov 2013
Pages7481-7486
ISBN (Print)978-1-4799-0223-1
ISBN (Electronic)978-1-4799-0224-8
DOIs
Publication statusPublished - Nov 2013
Event39th Annual Conference of the IEEE Industrial Electronics Society - Wien, Austria
Duration: 10 Nov 201313 Nov 2013

Conference

Conference39th Annual Conference of the IEEE Industrial Electronics Society
Country/TerritoryAustria
CityWien
Period10/11/201313/11/2013
SeriesProceedings of the Annual Conference of the IEEE Industrial Electronics Society
ISSN1553-572X

Keywords

  • Distribution grid
  • Optimization
  • EV generation uncertainty
  • Reconfiguration
  • Scenario analysis

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