Simplified Mathematical Representations of Single Shaft Gas Turbines in Mechanical Drive Service

Rowen, W. I.

doi:10.1115/92-gt-022

Cited by 138 publications

(80 citation statements)

References 1 publication

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“…After this paper, the author proposed an upgrade to his model. The new model allowed the simulation of combined-cycle power plant, including variable stator vane (VSV) modeling and an acceleration control loop (Rowen 1992). The Rowen's model configuration and study are illustrated in Fig.…”

Section: Control Systemmentioning

confidence: 99%

Combined Cycle Performance Evaluation and Dynamic Response Simulation

Mattos

Bringhenti

Cavalca

et al. 2016

J.Aerosp. Technol. Manag.

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Power plants operating in combined cycle present higher thermal efficiency (over 60%) and increased power generation when compared to traditional simple cycles, such as gas or steam turbines operating alone. Considering that the power plant evaluated in this paper is already operational, a further development concerning to the power plant control system is required in order to evaluate disturbances and frequency variations, generated by the electrical grid during normal operation, as the loads applied to the turbines are intrinsically associated to the grid frequency. A computer program able to simulate the control system was developed to cope with these instabilities and to guarantee the necessary protection to the power plant operation. The develop program was made using MATLAB Simulink®. The main components of the power plant consists of 2 gas turbines of 90 MW each and a steam turbine of 320 MW, totalizing 500 MW. Firstly, the power plant main components were constructed separately. Once obtained stable models, the exhaust from the gas turbine was connected to the water-steam cycle through the heat recovery steam generator. The main parameters necessary to adjust the model such as gains, limits and constants were obtained from the power plant operational data. The simulation results allowed the evaluation of some key parameters; others are possible but not shown, such as power, exhaust gas temperature, fuel flow and variable stator angles during grid instabilities. The studies were conducted by testing the robustness, response time, transient analysis, steady state analysis and reliability of the proposed model.

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Section: Control Systemmentioning

confidence: 99%

Combined Cycle Performance Evaluation and Dynamic Response Simulation

Mattos

Bringhenti

Cavalca

et al. 2016

J.Aerosp. Technol. Manag.

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“…A robust controller for an identified model of a power plant gas turbine was designed by Najimi and Ramezani (2012). The applied model was built on the basis of Rowen's model (Rowen, 1992) and by using real data for tuning the GT parameters. Kolmanovsky et al (2012) developed a robust control system for aero gas turbines.…”

Section: White-box Modelsmentioning

confidence: 99%

Design of conventional and neural network based controllers for a single-shaft gas turbine

Asgari

Jegarkandi

Chen

et al. 2017

AEAT

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Purpose -The purpose of this paper is to develop and compare conventional and neural network based controllers for gas turbines.Design/methodology/approach -Design of two different controllers is considered. These controllers consist of a NARMA-L2 which is an ANN-based nonlinear autoregressive moving average (NARMA) controller with feedback linearization, and a conventional proportional-integrator-derivative (PID) controller for a low-power aero gas turbine.They are briefly described and their parameters are adjusted and tuned in Simulink-MATLAB environment according to the requirement of the gas turbine system and the control objectives. For this purpose, Simulink and neural network based modelling is employed. Performances of the controllers are explored and compared on the base of design criteria and performance indices.Findings -It is shown that NARMA-L2, as a neural network based controller, has a superior performance to the PID controller.Practical implications -Using artificial intelligence in gas turbine control systems.Originality/value -Providing a novel methodology for control of gas turbines.

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“…Various mathematical and thermodynamic models have been proposed for gas turbines. They include, simple and applied models such as the Rowen model for a gas power plant [4] and for a combined cycle power plant [6], the aerothermodynamics model, the computational model, and the thermodynamic model [9]. The history of gas turbine modeling shows the simplified mathematical model consists of a set of algebraic equations and related temperature, speed and acceleration controllers is provided in [4,6].…”

Section: Gas Turbine Modelmentioning

confidence: 99%

Robust Fractional-order Controller for Power Plant Gas Turbine

PJadhav¹,

Chile²,

Hamde³

2014

IJCA

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The field of application of control methodologies to gas turbine holds tremendous research potential. This paper, presents the fractional-order (FO) robust controller design for the fuel-speed loop of a gas turbine. The aim of the controller is to maintain the turbine speed, against the plant gain variation and disturbance. To the best of our knowledge this is probably the first effort to propose the design of a fractional-order controller for the speed control of a power plant gas turbine. Nowadays the application of fractional-order (FO ) modeling and control is the most appreciated area for research. The Fractional Calculus field has originated from the fundamental area of fractional calculus which is the mathematical branch dealing with differentiation and integration with arbitrary order of the operation. On the other hand, FO controllers have proved their efficacy over the conventional integer-order (IO) controllers by providing more flexibility in the design and also by guaranteeing a more robust closed-loop configuration. The proposed FO controller is designed with the concept of Bode's ideal loop transfer function. Simulation studies clearly shows that the proposed FO controller makes the closed loop system more robust against the plant uncertainties and disturbances as compared to the integer order PID controller. General Terms:Gas Turbine Control

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Simplified Mathematical Representations of Single Shaft Gas Turbines in Mechanical Drive Service

Cited by 138 publications

References 1 publication

Combined Cycle Performance Evaluation and Dynamic Response Simulation

Combined Cycle Performance Evaluation and Dynamic Response Simulation

Design of conventional and neural network based controllers for a single-shaft gas turbine

Robust Fractional-order Controller for Power Plant Gas Turbine

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