Performance of Gas Turbine Power Plants Controlled by the Multiagent Scheme

2006 ◽  
Vol 129 (3) ◽  
pp. 738-745 ◽  
Author(s):  
Lorenzo Dambrosio ◽  
Marco Mastrovito ◽  
Sergio M. Camporeale
Keyword(s):  
Gas Turbine ◽  
Power Plants ◽  
Multiagent System ◽  
Control Algorithms ◽  
Load Reduction ◽  
Heavy Duty ◽  
Inlet Guide Vanes ◽  
Turbine Efficiency ◽  
Power Frequency ◽  
Heavy Duty Gas Turbine

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.

Performance of Gas Turbine Power Plants Controlled by Multiagent Scheme

2006 ◽  
Author(s):  
Lorenzo Dambrosio ◽  
Marco Mastrovito ◽  
Sergio M. Camporeale
Keyword(s):  
Artificial Intelligence ◽  
Gas Turbine ◽  
System Approach ◽  
Power Plants ◽  
Multiagent System ◽  
Control Process ◽  
Control Algorithms ◽  
Load Reduction ◽  
Heavy Duty ◽  
Heavy Duty Gas Turbine

In latter years the idea of artificial intelligence has been focused around the concept of a rational agent. An agent is a (software or hardware) entity that can receive signals from the environment and act upon that environment through output signals. In general an agent always tries to carry out an appropriate task. Seldom agents are considered as stand-alone systems. Their main strength can be found in the interaction with other agents in several different ways in a multiagent system. In the present work, multiagent system approach will be used to manage the control process of a single-shaft heavy-duty gas turbine in Multi Input Multi Output mode. The results will 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 good level adaptivity readiness, precision, robustness and stability.

scholarly journals An Empirically-Based Simulation Model for Heavy-Duty Gas Turbine Engines Using Treated Residual Fuel

1982 ◽  
Author(s):  
J. C. Blanton ◽  
W. F. O’Brien
Keyword(s):  
Simulation Model ◽  
Gas Turbine ◽  
Combustion Products ◽  
Heavy Duty ◽  
Turbine Engine ◽  
Engine Simulation ◽  
Turbine Efficiency ◽  
Rate Of Increase ◽  
Ash Deposit ◽  
Heavy Duty Gas Turbine

An empirically-based engine simulation model was developed to analyze the operation of a heavy-duty gas turbine on ash-bearing fuel. The effect of the ash in the combustion products on turbine efficiency was determined employing field data. The model was applied to the prediction of the performance of an advanced-cooled turbine engine with a water-cooled first-stage nozzle, when operated with ash-bearing fuels. Experimental data from a turbine simulator rig were used to estimate the expected rates of ash deposit formation in the advanced-cooled turbine engine, so that the results could be compared with those for current engines. The results of the simulations indicate that the rate of decrease in engine power would be 32 percent less in the advanced-cooled engine with water cooling. An improvement in predicted specific fuel consumption performance was also noted, with a rate of increase of 38 percent for the advanced-cooled engine.

An Empirically Based Simulation Model for Heavy-Duty Gas Turbine Engines Using Treated Residual Fuel

1983 ◽  
Vol 105 (1) ◽  
pp. 167-171
Author(s):  
J. C. Blanton ◽  
W. F. O’Brien
Keyword(s):  
Simulation Model ◽  
Gas Turbine ◽  
Combustion Products ◽  
Heavy Duty ◽  
Turbine Engine ◽  
Engine Simulation ◽  
Turbine Efficiency ◽  
Rate Of Increase ◽  
Ash Deposit ◽  
Heavy Duty Gas Turbine

An empirically based engine simulation model was developed to analyze the operation of a heavy-duty gas turbine on ash-bearing fuel. The effect of the ash in the combustion products on turbine efficiency was determined employing field data. The model was applied to the prediction of the performance of an advanced-cooled turbine engine with a water-cooled first-stage nozzle, when operated with ash-bearing fuels. Experimental data from a turbine simulator rig were used to estimate the expected rates of ash deposit formation in the advanced-cooled turbine engine, so that the results could be compared with those for current engines. The results of the simulations indicate that the rate of decrease in engine power would be 32 percent less in the advanced-cooled engine with water cooling. An improvement in predicted specific fuel consumption performance was also noted, with a rate of increase of 38 percent for the advanced-cooled engine.

scholarly journals A neuro-fuzzy controller for grid-connected heavy-duty gas turbine power plants

2017 ◽  
Vol 25 ◽  
pp. 2375-2387 ◽  
Author(s):  
Mohamed Mustafa MOHAMED IQBAL ◽  
Rayappan JOSEPH XAVIER ◽  
Jagannathan KANAKARAJ
Keyword(s):  
Gas Turbine ◽  
Power Plants ◽  
Fuzzy Controller ◽  
Heavy Duty ◽  
Neuro Fuzzy ◽  
Heavy Duty Gas Turbine

Enlarging the Fuel Flexibility Boundaries: Theoretical and Experimental Application to a New Heavy-Duty Gas Turbine (MS5002E)

2008 ◽  
Author(s):  
Antonio Asti ◽  
Jesse F. Stewart ◽  
Annalisa Forte ◽  
Ertan Yilmaz ◽  
Michele D’Ercole
Keyword(s):  
Gas Turbine ◽  
Fuel Injection ◽  
Transfer Functions ◽  
Inert Gases ◽  
Control Algorithms ◽  
Pressure Pulsations ◽  
Heavy Duty ◽  
Fuel Flexibility ◽  
Multiple Variables ◽  
Heavy Duty Gas Turbine

GE Oil&Gas has recently launched a new heavy-duty gas turbine, the MS5002E, which underwent an extensive theoretical and experimental study on fuel flexibility. Today, fuel flexibility is one of the most challenging requirements in the Oil&Gas market. The fuel flexible operation demands a wide variety of assessments, ranging from rig tests of the combustor to theoretical consolidation of the results. The present paper describes the used methodology to increase the capabilities of burning diverse gaseous fuels, at fixed geometry. It analyzes all factors affecting the operation of the combustor with the goal to identify and extend the boundaries. Such boundaries are a result of multiple variables, like resistance to flashback and autoignition, emissions, pressure pulsations and capability of igniting. Flashback is when the reaction velocity overtakes the flow velocity and the flame moves back to the fuel injection points, threatening the integrity of the hardware. The resistance of the MS5002E to flashback and flame holding was evaluated by performing extensive experiments on a single fuel nozzle. Flame holding test results were then used to develop a transfer function for the prediction of the flame holding behavior of different mixtures. Another variable of interest is the resistance to autoignition: MS5002E took advantage of previously defined transfer functions from GE Energy that estimate the temperature above which a given mixture is likely to autoignite, at fixed pressure. Since the MS5002E is a DLN machine, it was also necessary to exclude the possibility of lean-blow-out in the whole operating range: dedicated tests on a single-can basis were used for this scope. Emissions and pressure pulsations were extensively measured on a single-can basis, since these parameters are fundamental for a lean premixed combustor. For particular mixtures, like those with high content of inert gases, the capability of igniting repeatably and reliably is an additional requirement that needs experimental validation. The combination of all the aforementioned variables determines the composition limit of the fuel mixture that the machine can tolerate. As a result of all the assessment, it was possible to achieve an increase in the maximum allowable concentrations for the following constituents: propane (up to 20%), nitrogen (up to 20% with no modifications to the control algorithms; up to 25% with minor modifications to the control algorithms) and hydrogen (up to 5%). Future tests will deliver increased capabilities also for ethane and butane.

Model order reduction of heavy duty gas turbine power plants with field test parameters

2018 ◽  
Vol 29 (2) ◽  
pp. e2703
Author(s):  
Mohamed Mustafa Mohamed Iqbal ◽  
Sankar Sarumathi ◽  
Kovilvazhkai Rajappa Jothi ◽  
Arunachalam Brindadevi
Keyword(s):  
Gas Turbine ◽  
Field Test ◽  
Model Order Reduction ◽  
Power Plants ◽  
Order Reduction ◽  
Heavy Duty ◽  
Model Order ◽  
Test Parameters ◽  
Heavy Duty Gas Turbine

An Experimental Study of Steam Injection in an Aeroderivative Gas Turbine

1997 ◽  
Author(s):  
Jean-Louis Meyer ◽  
Guy Grienche
Keyword(s):  
Experimental Study ◽  
Gas Turbine ◽  
Power Plants ◽  
Steam Injection ◽  
Second Phase ◽  
Nox Emissions ◽  
Heavy Duty ◽  
Heavy Duty Gas Turbine ◽  
Two Phases ◽  
Injection Phase

The injection of steam into a gas turbine allows a reduction in nitrogen oxide (NOx) emissions and an increase in power and efficiency. In this way, and due especially to their lower investment costs, massive steam injection cycles could represent an interesting concept for intermediate-load power plants. When EDF and TURBOMECA jointly decided to carry out an experimental study of the consequences of steam injection into a gas turbine, two test phases were defined: firstly, a limited steam injection phase to assess the effect of steam on combustion, and secondly, a massive injection phase to assess the behavior and the performance capabilities of the machine. This second phase also aimed at identifying the critical points likely to appear when adapting a heavy-duty gas turbine to massive steam injection. This publication summarizes the main results of these two phases of tests.

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