Assessment of DG security contribution on transmission levels

Zhipeng Zhang, Jiangtao Li, Furong Li, Chris Budd, Vandad Hamidi

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

Abstract

With the increasing penetration of distributed generation (DG), a methodology that is able to recognize its contribution at the transmission level becomes crucial. However, tailored for distribution network operators (DNOs), the existing P2/6 approach fails to consider the characteristics of the distribution networks, DG penetration levels and locations. Consequently, its suggested DG contribution values tend to be oversimplified and too optimistic. In this paper, a Monte Carlo simulation based approach to evaluate DG contribution has been presented. Compared with the original P2/6, the new approach for the first time incorporates a series of potential influencing factors, such as network reliability, system capacity constraint, DG penetration level and DG location, into DG contribution evaluation, making the results valuable for transmission-level analysis. In addition, through a series of tests on an IEEE 30-bus system, it has been clearly shown that these previously ignored factors could make a huge difference to the final results.

Original languageEnglish
Title of host publicationPES General Meeting/ Conference & Exposition, 2014 IEEE
PublisherIEEE
DOIs
Publication statusPublished - 29 Oct 2014
EventPES General Meeting/ Conference & Exposition, 2014 IEEE - National Harbor, USA United States
Duration: 27 Jul 201431 Jul 2014

Conference

ConferencePES General Meeting/ Conference & Exposition, 2014 IEEE
CountryUSA United States
CityNational Harbor
Period27/07/1431/07/14

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Keywords

  • Distributed generation
  • ER P2/6
  • Monte Carlo simulation
  • Power system reliability
  • Security contribution

Cite this

Zhang, Z., Li, J., Li, F., Budd, C., & Hamidi, V. (2014). Assessment of DG security contribution on transmission levels. In PES General Meeting/ Conference & Exposition, 2014 IEEE [6939851] IEEE. https://doi.org/10.1109/PESGM.2014.6939851