Estimating Compressor Discharge Pressure of Gas Turbine Power Plant Using Type-2 Fuzzy Logic Systems

Author

Pareek, Umesh ; Kar, I.N.

Author_Institution

NTPC Ltd., New Delhi

fYear

0

fDate

0-0 0

Firstpage

649

Lastpage

654

Abstract

This paper presents a successful demonstration of application of type-2 fuzzy logic systems (FLS) to predict a critical parameter of Gas Turbine in a power plant viz., the compressor discharge pressure. The loss of Compressor Discharge Pressure (CDP) measurement leads to loss of few megawatts electricity generation. It is also demonstrated here by way of comparison, that a type-2 FLS is more robust in the presence of noise uncertainties than a type-1 conventional FLS for this application. Results are verified through the practical plant data obtained from a 110 MW gas turbine power plant.

Keywords

estimation theory; fuzzy logic; fuzzy set theory; fuzzy systems; gas turbine power stations; power engineering computing; pressure measurement; compressor discharge pressure measurement; gas turbine power plant; megawatt electricity generation; noise uncertainty; power 110 MW; type-2 fuzzy logic system; Artificial neural networks; Condition monitoring; Engines; Fault detection; Fuels; Fuzzy logic; Neural networks; Power generation; Temperature sensors; Turbines;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2006 IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-9488-7

Type

conf

DOI

10.1109/FUZZY.2006.1681780

Filename

1681780