Optimal Model Order Reduction of Heavy-Duty Gas Turbine Power Plants

2021 ◽  
Author(s):  
Kunal ◽  
S. K. Jha
Keyword(s):  
Gas Turbine ◽  
Model Order Reduction ◽  
Power Plants ◽  
Order Reduction ◽  
Heavy Duty ◽  
Optimal Model ◽  
Model Order ◽  
Heavy Duty Gas Turbine

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

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.

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.

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