Adaptation in Load Shedding under Vulnerable Operation Conditions

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

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations


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
Issue number7
StatePublished - Jul 2002
Externally publishedYes


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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Adaptation in Load Shedding under Vulnerable Operation Conditions'. Together they form a unique fingerprint.

Cite this