Nonlinear network reduction for distribution networks using the holomorphic embedding method

Shruti Rao, Daniel Tylavsky

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

15 Scopus citations

Abstract

This paper presents three different true nonlinear reduction methods to obtain network equivalents for radial (distribution-type) networks (using the holomorphically embedded power flow algorithm), which are exact, given computational precision limitations, even when the loads and the real-power generations are scaled. The proposed reduction methods are applied in this paper to reduce a radial distribution system and provide a two-bus-model equivalent which accurately models the real and reactive power load seen at the transmission network due to random changes in the distribution system load. Numerical results are provided for a radial 14-bus system to show the accuracy of the proposed methods in preserving voltages and slack bus power. The approach is shown to have better performance than Ward reduction even when the loads are increased in a random manner.

Original languageEnglish (US)
Title of host publicationNAPS 2016 - 48th North American Power Symposium, Proceedings
EditorsDavid Wenzhong Gao, Jun Zhang, Amin Khodaei, Eduard Muljadi
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509032709
DOIs
StatePublished - Nov 17 2016
Event48th North American Power Symposium, NAPS 2016 - Denver, United States
Duration: Sep 18 2016Sep 20 2016

Publication series

NameNAPS 2016 - 48th North American Power Symposium, Proceedings

Other

Other48th North American Power Symposium, NAPS 2016
CountryUnited States
CityDenver
Period9/18/169/20/16

Keywords

  • Extended Ward
  • Network reduction
  • REI
  • Ward
  • analytic continuation
  • holomorphic embedding method
  • power-flow

ASJC Scopus subject areas

  • Strategy and Management
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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