Assessment of the influence of distributed generation and demand side management on transmission system performance

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

All relevant studies indicate that future electricity networks will see a significant increase in renewable-based distributed generation (DG) and much wider application of load management and intelligent network technologies. The impact of DG and demand-side actions is direct and easily observed in the distribution networks. Their effects on transmission system performance, however, are more difficult to assess and quantify. Accordingly, this paper attempts to assess the impact of DG and demand side management at the sub-transmission and transmission levels, where realistic models of DG (including micro and small-scale DG) and improved aggregate load models (incorporating models of demand-manageable loads) are connected to network. The propagation of harmonics from distribution to transmission networks due to a substantially increased contribution from inverter-interfaced DG and modern non-linear loads is also discussed in the paper.

Original languageEnglish
Title of host publication7th Mediterranean Conference and Exhibition on Power Generation, Transmission, Distribution and Energy Conversion, MedPower 2010
Edition572 CP
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event7th Mediterranean Conference and Exhibition on Power Generation, Transmission, Distribution and Energy Conversion, MedPower 2010 - Agia Napa, Cyprus
Duration: 7 Nov 201010 Nov 2010

Publication series

NameIET Conference Publications
Number572 CP
Volume2010

Conference

Conference7th Mediterranean Conference and Exhibition on Power Generation, Transmission, Distribution and Energy Conversion, MedPower 2010
Country/TerritoryCyprus
CityAgia Napa
Period7/11/1010/11/10

Keywords

  • Demand side management
  • Distributed generation
  • Harmonics
  • Load modeling
  • Microgeneration
  • Power quality
  • Power system modeling and analysis
  • Transmission system performance

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