Application of Dynamic Quantizer to Load Control for Suppression of Power System Frequency Fluctuation

Akimi Sato, Hiroumi Saitoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Penetration of large amounts of renewable energy sources into power systems leads to reduction in the frequency stability. As one of the strategies improving the stability, the load control which assists primary and secondary control of thermal power plants has been studied. The authors have proposed Autonomous Decentralized Load Control (ADLC), which is based on switching a lot of customers' appliances on or off according to frequency deviation. The ADLC can be interpreted as discrete-valued input control with a built-in static quantizer. In this paper, in order to enhance the performance of ADLC, we propose an application of dynamic quantizer which considers power system response to load control. The simulation study shows that the performance of dynamic quantizer based ADLC is higher than that of static quantizer based ADLC by using a single area power system model.

Original languageEnglish
Title of host publication2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665433396
DOIs
Publication statusPublished - 2021
Event2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021 - Brisbane, Australia
Duration: 2021 Dec 52021 Dec 8

Publication series

Name2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021

Conference

Conference2021 IEEE PES Innovative Smart Grid Technologies - Asia, ISGT Asia 2021
Country/TerritoryAustralia
CityBrisbane
Period21/12/521/12/8

Keywords

  • discrete-valued input control
  • dynamic quantizer
  • frequency control
  • Load control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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