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SVC-Based Frequency Compensation with Empirical System Modeling and Bode Loop Shaping

  • Kendall Bean
  • , Andrew G. Miles
  • , Romulo G. Bainy
  • , Dakota Roberson
  • , Brian Johnson
  • , Reynaldo Nuqui
  • , John Tacke

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Increased inverter-based Renewable Energy Source (RES) penetration has led to frequency regulation challenges in some power systems due to decreased inertia. FACTS devices such as SVCs have been shown to be effective in damping small-signal frequency oscillations in systems with high renewable energy penetrations. This paper proposes a novel control scheme for a SVC that utilizes a synchrophasor as the primary frequency sensor to regulate system voltage and frequency simultaneously. Empirical system modeling is used to identify oscillatory system modes to ease deployment complexity, and basic control principles are used to design a simple and effective control law that provides good damping at the system modes. The simulated system, using the novel SVC-based frequency regulator, reduces the frequency oscillation at the dominant mode by a factor of nearly $40 dB$ compared to the system without it.

Original languageEnglish
Title of host publication2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350313604
DOIs
StatePublished - Mar 4 2024
Externally publishedYes
Event2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024 - Washington, United States
Duration: Feb 19 2024 → Feb 22 2024

Publication series

Name2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024

Conference

Conference2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024
Country/TerritoryUnited States
CityWashington
Period02/19/24 → 02/22/24

Keywords

  • Bode loop shaping
  • Empirical modeling
  • FACTS
  • feedback control
  • small-signal oscillations

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