An architecture of multi-agent system applied to fossil-fuel power unit

被引：0

作者：

Masina, S ^{[1
]}

Lee, KY ^{[1
]}

Garduno-Ramirez, R ^{[1
]}

机构：

[1] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA

来源：

2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2 | 2004年

关键词：

central agent; decision-making; feedback control; feedforward control; fuzzy logic; genetic algorithms; multiagent control system; neural networks;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes an architecture of a multiagent system applied to a Fossil Fuel Power Unit (FFPU). An agent-based approach has been dealt in this paper for the entire control system applied to the plant, and simulations demonstrate the usefulness of this multi-agent approach. The model consists of a Central Agent (CA), Set-point Agent (SA), Feedforward Agent (FeFA), Feedback Agent (FeBA), Limiter & Scaling agent (LSA), and Threat/Emergency Agent (TA). The communication protocols for the agents are defined in finite state machine theory, and Matlab/Simutink/Stateflow is used to simulate these communication protocols. The overall performance of this system is robust and adaptable. The CA is the key agent sending the message requests to different agents and monitoring their status for an efficient operation of the plant at different operating regions.

引用

页码：1982 / 1988

页数：7

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