Adaptation in load shedding under vulnerable operating conditions

Author

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

Author_Institution

Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA

Volume

17

Issue

4

fYear

2002

fDate

11/1/2002 12:00:00 AM

Firstpage

1199

Lastpage

1205

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.

Keywords

learning (artificial intelligence); load shedding; multi-agent systems; power system interconnection; power system simulation; 179-bus power system; catastrophic failures; decision criteria; defense system; defensive system; dynamic environments; dynamic simulation; intelligent systems; interconnected power systems; load shedding adaptation; multiagent system technologies; reinforcement learning; temporal differences; vulnerable operating conditions; Communication system control; Control systems; Decision making; Multiagent systems; Power system control; Power system dynamics; Power system protection; Power system simulation; Power system stability; Power systems;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2002.805023

Filename

1137613