Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation

Duo Fang, Mingzhe Zou, Gareth Harrison, Sasa Z. Djokic, Mike Brian Ndawula, Xiao Xu, Ignacio Hernando Gil, Jagadeesh Gunda

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

6 Citations (SciVal)

Abstract

This paper evaluates deterministic and probabilistic approaches for assessing hosting capacity (HC) of distribution networks for wind-based distributed generation (DG). The presented methodology considers variations of demands and DG power outputs, as well as dynamic thermal ratings (DTR) of network components. Deterministic approaches are based on a limited number of scenarios with minimum and maximum demands and DTR limits, while probabilistic approaches use simultaneous hourly values of all input parameters. The presented methodology has three stages. First, locational HC (LHC) of individual buses is calculated assuming connection of a single DG unit in the considered network. Afterwards, the LHC results are used to calculate network HC (NHC), assuming that DG units are connected at all network buses. Finally, busto-bus LHC-sensitivity factors are used to determine LHC and NHC for any number of DG units connected at arbitrary network buses.
Original languageEnglish
Title of host publication2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings
Subtitle of host publicationPMAPS
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)9781728128221
DOIs
Publication statusPublished - 1 Sept 2020

Publication series

Name2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings

Keywords

  • Deterministic and scenario-based analysis
  • distributed generation
  • dynamic thermal rating
  • firm and non-firm capacity
  • hosting capacity
  • probabilistic analysis
  • renewables
  • wind energy

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Statistics, Probability and Uncertainty
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality
  • Statistics and Probability

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