An autonomous agent for power system restoration

This paper proposes a multi-agent approach to decentralized power system restoration for a local area network. The proposed method consists of several bus agents (BAGs) and junction agents (JCTs). A BAG corresponds to the bus in the substation, while a JCT is developed as a manager to control the multi-terminal transmission line. From the simulation results, it can be seen the proposed multi-agent system could reach the right solution by making use of only local information. This means that the proposed multi-agent system is a promising approach to more large-scale power system networks.

[1]  Edward Simburger,et al.  Low Voltage Bulk Power System Restoration Simulation , 1981, IEEE Transactions on Power Apparatus and Systems.

[2]  M. M. Adibi,et al.  Power System Restoration , 2000 .

[3]  Masakazu Kato,et al.  The Development of Power System Restoration Method for a Bulk Power System by Applying Knowledge Engineering Techniques , 1989, IEEE Power Engineering Review.

[4]  K. Hotta,et al.  Implementation of a real-time expert system for a restoration guide in a dispatching center , 1989, Conference Papers Power Industry Computer Application Conference.

[5]  H. Sasaki,et al.  A multi-agent approach to power system restoration , 2000, PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409).

[6]  Daniel S. Kirschen,et al.  Guiding a power system restoration with an expert system , 1991 .

[7]  R. Kafka,et al.  Role of Interactive and Control Computers in the Development of a System Restoration Plan , 1982, IEEE Transactions on Power Apparatus and Systems.

[8]  T. Sakaguchi,et al.  Development of a Knowledge Based System for Power System Restoration , 1983, IEEE Power Engineering Review.

[9]  T. Nagata,et al.  A multi-agent approach to power system restoration , 2002 .

[10]  Takeshi Nagata,et al.  Power system restoration by joint usage of expert system and mathematical programming approach , 1996 .

[11]  Seung-Jae Lee,et al.  Service restoration of primary distribution systems based on fuzzy evaluation of multi-criteria , 1998 .

[12]  Justin Edelson,et al.  Java & XML , 2001 .

[13]  M. Ito,et al.  A knowledge-based method for making restoration plan of bulk power system , 1991 .

[14]  R. Kafka,et al.  System Restoration Plan Development for a Metropolitan Electric System , 1981, IEEE Transactions on Power Apparatus and Systems.

[15]  M. Staropolsky,et al.  Policies for Restoration of a Power System , 1987, IEEE Transactions on Power Systems.