TECHNICAL PAPERS: Gas Turbines: Controls, Diagnostics, and Instrumentation

Performance of Gas Turbine Power Plants Controlled by the Multiagent Scheme

[+] Author and Article Information
Lorenzo Dambrosio

DIMeG Sez. Macchine ed Energetica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italydambrosio@poliba.it

Marco Mastrovito

DIASS, Polytechnic University of Bari, Viale del Turismo 8, 74100 Taranto, Italym.mastrovito@poliba.it

Sergio M. Camporeale

DIMeG Sez. Macchine ed Energetica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italycamporeale@poliba.it

J. Eng. Gas Turbines Power 129(3), 738-745 (Dec 15, 2006) (8 pages) doi:10.1115/1.2718567 History: Received September 20, 2006; Revised December 15, 2006

In recent years the idea of artificial intelligence has been focused around the concept of rational agent. An agent is an (software or hardware) entity that can receive signals from the environment and act upon that environment through output signals, trying to carry out an appropriate task. Seldom agents are considered as stand-alone systems; on the contrary, their main strength can be found in the interaction with other agents, constituting the so-called multiagent system. In the present work, a multiagent system was chosen as a control system of a single-shaft heavy-duty gas turbine in the multi input multi output mode. The shaft rotational speed (power frequency) and stack temperature (related to the overall gas turbine efficiency) represent the controlled variables; on the other hand, the fuel mass flow (VCE) and the variable inlet guide vanes (VIGV) have been chosen as manipulating variables. The results show that the multiagent approach to the control problem effectively counteracts the load reduction (including the load rejection condition) with limited overshoot in the controlled variables (as other control algorithms do) while showing a good level of adaptivity, readiness, precision, robustness, and stability.

Copyright © 2007 by American Society of Mechanical Engineers
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Figure 6

Comparison MAS versus PID approaches: shaft rotational speed results

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Figure 7

Comparison MAS versus PID approaches: stack temperature results

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Figure 8

Full MAS versus disabled agents on VCE: shaft rotational speed

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Figure 9

Full MAS versus disabled agents on VCE: stack temperature

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Figure 5

Gas turbine load history

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Figure 4

AGENT2 internal layout

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Figure 3

Multiagent scheme

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Figure 2

Gas turbine control signal layout

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Figure 1

Multiagent system layout



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