Control-based economic dispatch augmented by agc for operating renewable-rich power grids

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

2 Scopus citations

Abstract

This work proposes a new control approach that is suitable for real-time operation of electric grids. This approach is based on turning the problem of optimally dispatching generating units from an optimization problem, triggered at distinct time instants, into a continuously-adapting feedback control problem that regulates the generators' set points in real-time. However, given that this feedback control loop is not fast enough to maintain frequency variations within a satisfactorily tight range, the conventional automatic generation control (AGC) loop is still in action to ensure fast frequency regulation response. Hence, this work aims to provide a novel integrated approach that combines AGC and control-based ED into one framework. This framework will be able to achieve efficient system frequency control while continuously operating the system in an optimal manner. Simulation results validate the effectiveness of the proposed integrated ED-AGC framework in regulating frequency while optimally operating the system in real-time.

Original languageEnglish
Title of host publication2019 IEEE 10th GCC Conference and Exhibition, GCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538694770
DOIs
StatePublished - Apr 2019

Publication series

Name2019 IEEE 10th GCC Conference and Exhibition, GCC 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Automatic generation control
  • Economic dispatch
  • Frequency regulation
  • Generation scheduling
  • Renewable energy

ASJC Scopus subject areas

  • Information Systems and Management
  • Biomedical Engineering
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications

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