Enhancement of Voltage Profile in Unbalanced Distribution Systems with Variable Loads

Tianjian Wang, Matin Meskin, Ilya Grinberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Nowadays, interconnection of distributed generation (DG) units to distribution grids becomes more popular due to the many benefits they provide to grids. Their contribution in voltage regulation can improve the voltage profile in distribution networks. In addition, optimal power flow as a powerful tool in planning and load management can be applied to the distribution networks as well as at transmission level. This paper proposes a multi-objective function to address the nonlinear optimal power flow (OPF) problem in the medium voltage (MV) distribution networks. Cuckoo Search (CS) optimization approach is applied to solve the OPF problem. The proposed method is applied to IEEE 13 nodes test case with variable load. The results indicate the enhancement in voltage profile in addition to reduction of the network losses and more balanced system.

Original languageEnglish
Title of host publicationProceedings - 2017 9th Annual IEEE Green Technologies Conference, GreenTech 2017
PublisherIEEE Computer Society
Pages276-282
Number of pages7
ISBN (Electronic)9781509045358
DOIs
StatePublished - 9 May 2017
Externally publishedYes
Event9th Annual IEEE Green Technologies Conference, GreenTech 2017 - Denver, United States
Duration: 29 Mar 201731 Mar 2017

Publication series

NameIEEE Green Technologies Conference
ISSN (Electronic)2166-5478

Conference

Conference9th Annual IEEE Green Technologies Conference, GreenTech 2017
Country/TerritoryUnited States
CityDenver
Period29/03/1731/03/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Cuckoo serach optimization
  • Distributed generation
  • Optimization load flow
  • Renewable energy
  • Unbalanced distribution system

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