Adaptation in load shedding under vulnerable operating conditions

Juhwan Jung, Chen Ching Liu, Steven L. Tanimoto, Vijay Vittal

Research output: Contribution to journalArticle

91 Scopus citations

Abstract

The proposed approach to avoiding catastrophic failures in interconnected power systems uses a defensive system based on multiagent system technologies. Due to their dynamic environments, these agents need to automatically adjust their decision criteria. The method of reinforcement learning with temporal differences can provide a suitable basis for the adaptation. An appropriate convergence criterion is derived and an application of the method to load shedding is demonstrated. A dynamic simulation involving a 179-bus power system is used to validate the method.

Original languageEnglish (US)
Pages (from-to)1199-1205
Number of pages7
JournalIEEE Transactions on Power Systems
Volume17
Issue number4
DOIs
StatePublished - Nov 1 2002
Externally publishedYes

Keywords

  • Defense system
  • Intelligent systems
  • Multiagent system
  • Power system vulnerability
  • Reinforcement learning

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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