Dynamic VAR planning for rotor-angle and short-term voltage stability enhancement

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

5 Scopus citations

Abstract

In the short-term timescale, separation between load-driven and generator-driven stability problems is rarely well-defined. Allocation of VSC-based VAR compensation, such as STATCOM, has the ability to boost system voltages in the fault-on condition, thus reducing generator power swing, in addition to circumventing delayed voltage recovery upon fault clearing, thereby reducing the risk of induction motor stalling. This paper proposes a multi-objective, hybrid static/dynamic VAR planning strategy incorporating distinct rotor angle and voltage stability indices found through time-domain simulations of full-order system models. The proposed method utilizes parallel high performance computing (HPC) capabilities combined with a genetic algorithm (GA) and is applied on the New England 39-bus system with assumed high penetration of induction machines. The study demonstrates that compared to voltage stability enhancement, improvement of rotor-angle stability through shunt dynamic VAR requires substantial additional capacity, the cost of which can be reduced using hybrid static/dynamic installations.

Original languageBritish English
Title of host publication2017 IEEE International Conference on Industrial Technology, ICIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages592-596
Number of pages5
ISBN (Electronic)9781509053209
DOIs
StatePublished - 26 Apr 2017
Event2017 IEEE International Conference on Industrial Technology, ICIT 2017 - Toronto, Canada
Duration: 23 Mar 201725 Mar 2017

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology

Conference

Conference2017 IEEE International Conference on Industrial Technology, ICIT 2017
Country/TerritoryCanada
CityToronto
Period23/03/1725/03/17

Keywords

  • Dynamic VAR planning
  • Genetic algorithm
  • High performance computing
  • Multi-objective optimization
  • Rotor angle stability
  • Voltage stability

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