A Novel Adaptive Supervisory Controller for Optimized Voltage Controlled Demand Response

Etimbuk E. Abraham, Hesamoddin Marzooghi, James Yu, Vladimir Terzija

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Recently, it has been shown that voltage-controlled demand response (VCDR), which is based on the principle of the dependence of the active power of demand on the system voltage, can provide ancillary services to future power systems. Voltage control devices used for VCDR can improve system frequency stability to various extents, depending on their locations, load size and load-voltage dependency in the grid. Thus, designing a supervisory controller to guarantee that such devices are optimally utilized for VCDR is necessary, as this can contribute in enhancing system frequency stability. In this paper, a novel adaptive supervisory controller (ASC) is proposed to optimally use VCDR resources in large power systems for such purposes. To ensure the effective operation of the ASC, an assessment of the impacts of on-load tap changer (OLTC) transformers on the system frequency is essential. In this regard, clustering techniques and principal component regression are used as offline tools to evaluate the influences of OLTCs transformers on VCDR in large-scale power systems using the IEEE 39-bus test system. Also, to estimate the effects of the OLTC transformer clusters on VCDR, a comprehensive sensitivity analysis with respect to the gain of the modified OLTC controllers' frequency input is conducted.

Original languageEnglish
Article number8401704
Pages (from-to)4201-4210
Number of pages10
JournalIEEE Transactions on Smart Grid
Volume10
Issue number4
DOIs
Publication statusPublished - Jul 2019
Externally publishedYes

Keywords

  • Frequency control
  • k-means clustering
  • MIGRATE project
  • model predictive control
  • principal component analysis
  • voltage-controlled demand response

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