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Optimum Allocation of Distributed Energy Resources for Voltage Stability Enhancement and Loss Reduction

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

1 Scopus citations

Abstract

There are many advantages to deploying small-scale distributed generation resources. They reduce the power generation cost, enhance the system's overall voltage profile, and reduce system losses. However, misplacing them could have an adverse effect on the power system. In this paper, the optimal size and site of a distributed generation unit are determined to enhance the voltage stability of a power network. A voltage stability index is employed to determine the weakest link in the system. Then, the optimal size of the distributed generation unit is calculated. Newton-Raphson optimal power flow is employed to solve this problem. The voltage stability index enhancement and loss reduction are examined during normal, stressed loading, and contingency conditions. The simulation is carried out on IEEE 14 bus mesh system. The results show that the method used in this paper successfully improves the system's voltage stability and decreases power losses.

Original languageEnglish
Title of host publicationEUROCON 2023 - 20th International Conference on Smart Technologies, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-232
Number of pages6
ISBN (Electronic)9781665463973
DOIs
StatePublished - 2023
Event20th International Conference on Smart Technologies, EUROCON 2023 - Torino, Italy
Duration: 6 Jul 20238 Jul 2023

Publication series

NameEUROCON 2023 - 20th International Conference on Smart Technologies, Proceedings

Conference

Conference20th International Conference on Smart Technologies, EUROCON 2023
Country/TerritoryItaly
CityTorino
Period6/07/238/07/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • contingency
  • distributed generation size
  • optimal power flow
  • power loss
  • voltage stability index

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Instrumentation

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