Adaptation in Load Shedding under Vulnerable Operation Conditions

J. Jung, C. C. Liu, S. L. Tanimoto, Vijay Vittal

Research output: Contribution to journalReview article

2 Citations (Scopus)

Abstract

The proposed approach to avoiding catastrophic failures in interconnected power systems uses a defeusive system based on multiagent system technologies. Because of 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)54-55
Number of pages2
JournalIEEE Power Engineering Review
Volume22
Issue number7
DOIs
StatePublished - 2002
Externally publishedYes

Fingerprint

Electric power system interconnection
Reinforcement learning
Multi agent systems
Computer simulation

Keywords

  • Aging
  • Defense system
  • intelligent systems
  • Learning
  • multiagent system
  • Multiagent systems
  • Power system dynamics
  • Power system interconnection
  • Power system modeling
  • Power system planning
  • Power system reliability
  • Power system simulation
  • power system vulnerability
  • reinforcement learning
  • System testing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Adaptation in Load Shedding under Vulnerable Operation Conditions. / Jung, J.; Liu, C. C.; Tanimoto, S. L.; Vittal, Vijay.

In: IEEE Power Engineering Review, Vol. 22, No. 7, 2002, p. 54-55.

Research output: Contribution to journalReview article

Jung, J. ; Liu, C. C. ; Tanimoto, S. L. ; Vittal, Vijay. / Adaptation in Load Shedding under Vulnerable Operation Conditions. In: IEEE Power Engineering Review. 2002 ; Vol. 22, No. 7. pp. 54-55.
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