Reactive power compensation using power flow sensitivity analysis and QV curves

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

Abstract

Voltage control is a major factor that requires constant analysis to avoid the collapse of transmission systems. The methodologies related to voltage control could be defined as static and dynamic. The present research focuses on static methods, these methods expose expose the difficulty of providing remarkable data for parallel reactive compensation when are applied individually. However, it has been possible to relate the sensitivity VQ and the QV curve to overcome this difficulty. The VQ sensitivity uses diagonal elements of the inverse matrix of the reduced Jacobian matrix, so that the methodology mentioned determines the weakest bar in the power system. On the other hand, the QV curve indicates the robustness of the system in terms of its reactive power margin (RPM). The proposed methodology determines the weakest bus and the amount of parallel reactive power required to compensate and operate within adequate voltage profiles. This provides primary information associated to the safety of the voltage used by planning and operation areas. the proposed methodology is performed in MatLab, and it is applied to the IEEE 57-busbar system considering two cases, initial and a random contingency conditions.

Original languageEnglish
Title of host publication2020 IEEE ANDESCON, ANDESCON 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193656
DOIs
StatePublished - 13 Oct 2020
Event2020 IEEE ANDESCON, ANDESCON 2020 - Quito, Ecuador
Duration: 13 Oct 202016 Oct 2020

Publication series

Name2020 IEEE ANDESCON, ANDESCON 2020

Conference

Conference2020 IEEE ANDESCON, ANDESCON 2020
Country/TerritoryEcuador
CityQuito
Period13/10/2016/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • QV curve
  • Reactive compensation
  • Transmission
  • Voltage control
  • VQ sensitivity

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