论文信息 - Optimal Task Decomposition Agents of the Multiagent Power Plant Control System

Optimal Task Decomposition Agents of the Multiagent Power Plant Control System

This paper proposes optimal task decomposition agents(OTDAS) of the multiagent power plant control system(MACS).The goal,decision-making and operation of the OTDAS are introduced respectively.The OTDAS optimally decompose the task of power plant control system through an optimizer agent and a decomposer agent.The optimizer agent makes decision using genetic algorithm(GA).The operation results of OTDAS show that GA is an effective tool for the agent in making decision.

Chang Jiang

[1] Kwang Y. Lee,et al. An autonomous control system for boiler-turbine units , 1996 .

[2] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.

[3] Hideo Nakamura,et al. Model reference control for steam temperature of power plant at start-up stage , 1995, SICE '95. Proceedings of the 34th SICE Annual Conference. International Session Papers.

[4] Kwang Y. Lee,et al. A free-model based model reference adaptive inverse controller design for a boiler-turbine plant by using functional mapping , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[5] Chunyan Miao,et al. A Multi-Agent Framework for Collaborative Reasoning , 2002 .

[6] Kwang Y. Lee,et al. Intelligent Multiagent Control for Power Plants , 2002 .

[7] Kwang Y. Lee,et al. Multiobjective optimal power plant operation through coordinate control with pressure set point scheduling , 2001 .

[8] Gerhard Weiss,et al. Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[9] J. Bentsman,et al. State space and frequency domain predictive controller design with application to power plant control , 1994, 1994 Proceedings of IEEE International Conference on Control and Applications.