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A multi-agent system-based intelligent steady-state model for a power plant

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2 Author(s)
Heo, J.S. ; Dept. of Electr. Eng., The Pennsylvania State Univ., University Park, PA ; Lee, K.Y.

A large-scale power system is required to have a new strategy to operate at a higher level of automation, flexibility, and robustness. It is a challenge to get the steady-state model for a high order complex nonlinear power plant. Moreover, the model should be adaptive under the changing environment. In this paper, a multi-agent system-based intelligent steady-state model (MAS-ISSM) is presented as an alternative methodology to identify the steady-state model in a large-scale 600 MW thermal power plant. Design of architectures for single agents and an organization of the multi-agent system will be described as the foundation of the intelligent steady-state model (ISSM). The MAS-ISSM will be utilized in the evaluation process and the set-point scheduler to map various control inputs to power and pressure set-points for multiobjective optimization in the power plant. The procedure is presented through a case study, and its feasibility is demonstrated with the simulation results

Published in:

Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on

Date of Conference:

6-10 Nov. 2005