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

Iqbal, M. Mohamed; Xavier, R. Joseph; Kanakaraj, J.

doi:10.3906/elk-1511-242

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…Lotfi. A. Zadeh introduced fuzzy set theory in the 1960s [36]. One of the most effective fuzzy set theory procedures is the Fuzzy Logic Controller.…”

Section: Fuzzy Controlled Dvrmentioning

confidence: 99%

Power Quality Analysis of Fuzzy DVR based Hybrid Solar PV-PEMFC System Under Severe Disturbance

Senthilkumar

Zahira

et al. 2023

IJEER

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Hybrid Energy System (HES) is becoming popular as it is identified as the most safe, sustainable, and long-term option for energy management. The grid-connected power network is vulnerable to frequent interruptions, which can lead to instability and a huge blackout. Furthermore, the presence of switching devices in industrial and domestic applications causes disturbances such as voltage swell/sag, waveform distortion, interruptions, impulsive voltage, and so on. Dynamic voltage restorer, known as a modern power compensating device, is cost effective, compact in size and can handle more energy capacity than DTSATCOM and UPFC. Hence for addressing the power quality issues in hybrid solar photovoltaic (PV)-proton exchange membrane fuel cells (PEMFC) system, dynamic voltage restorer (DVR) has been designed in this paper. As the fuzzy logic technique can provide flexible solutions in the case of uncertainty, fuzzy logic-based controller has also been employed with DVR to regulate the firing pulses of a PWM generator. Based on the simulation results obtained using fast fourier transform (FFT) analysis in MATLAB/Simulink, the dynamic performance of HES against the most important contingency condition or three phase faults is analyzed in detail. Further, the impact of DVR on power quality improvement under severe fault has also been demonstrated in this research work. On analyzing the total harmonic distortion (THD) values of HES under heavy disturbances, the fuzzy controlled dynamic voltage regulator (FCDVR) is identified as an efficient control mechanism for enhancing power quality in grid-connected HES.

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“…Lotfi. A. Zadeh introduced fuzzy set theory in the 1960s [36]. One of the most effective fuzzy set theory procedures is the Fuzzy Logic Controller.…”

Section: Fuzzy Controlled Dvrmentioning

confidence: 99%

Power Quality Analysis of Fuzzy DVR based Hybrid Solar PV-PEMFC System Under Severe Disturbance

Senthilkumar

Zahira

et al. 2023

IJEER

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“…In the field of the gas turbine, the provided controllers can be classified into robust and non-robust controllers. Several studies have been conducted in the field of robust controller design for gas turbine in order to investigate optimal (Watts et al, 1992), adaptive (Comporeale et al, 2002), predictive (Jurado and Capiro, 2006, Ghorbani et al, 2008; Jadhav et al, 2014; Tsoutsanis and Meskin, 2018), Nero-Fuzzy (Mohamed Iqbal and Joseph Xavier, 2017), and classical Proportional–Integral (PI) and Proportional–Integral–Derivative (PID) controller design (Balamurugan et al, 2013; Hajagos and Berube, 2001; Kim and Kim, 2003; Kim, 2004; Montazeri-Gh and Ilkhani, 2012; Selvakumar et al, 2013). Dynamic models in different controller designs were often presented by the Rowen and IEEE working group (deMello, 1994; Rowen 1983, 1992).…”

Section: Introductionmentioning

confidence: 99%

Robust controller design for a three-shaft industrial gas turbine in the infinite grid power generation

Mehrpanahi

Arbabtafti

Payganeh

2019

Transactions of the Institute of Measurement and Control

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Due to the sensitivity of gas turbines’ power generation in Iran, robustness is considered as a crucial matter and the controllers play an essential role in this objective. The common controllers used in gas turbines are usually based on standard performance. Whereas, robust controllers demonstrate acceptable performance in the presence of adverse factors such as uncertainties, disturbances, and input step changes. In this study, dynamic structures and various robust control design scenarios for an MGT-30 three-shaft gas turbine have proposed. Input-output matrices have been presented based on the dynamic model structures, and a standard robust controller structure has been used to design and present transfer matrices. Four scenarios have been considered in the robust control design according to the number of control variables, uncertainties, and disturbance effects, evolutionally, respectively. [Formula: see text] and [Formula: see text] methods were used in the controller design when presenting the results of using the existing PID controller. The results show that with the increase and develop in parameters influencing the production of the actual system behavior and the controller responses improve noticeably. Finally, the fourth scenario was proposed as a scenario with more desirable robustness features than other scenarios, which provide a complete array of robust controllers.

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H₂, H_∞, H₂/H_∞, and μ‐synthesis controllers for the speed and temperature control of a real gas turbine unit in a combined cycle power plant

Haji

Fekih

Monje

et al. 2019

Energy Science & Engineering

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This paper designs, implements, and compares the performance of a H2, H∞, H2/H∞, and μ‐synthesis approach for a V94.2 gas turbine mounted in Damavand combined cycle power plant. The controllers are designed to maintain the speed and exhaust temperature within their desired intervals and to ensure the robust performance of the gas turbine power plant (GTPP) in the presence of uncertainties and load demand variations. A linear model of the GTPP is first estimated using V94.2 gas turbine real‐time data and an autoregressive with exogenous input (ARX) identification approach, and then verified by residual analysis tests and steady‐state performance. The H2, H∞, H2/H∞, and μ‐synthesis controllers are then designed and implemented to the ARX model of the GTPP. The performance of the approaches is assessed and compared in terms of tracking capability, robustness, and transient performance. Additionally, the controllers' performance is compared to that of a conventional PID approach. Despite the slight variations in the performance, all the controllers exhibited robust stability and good overall performance in the presence of model uncertainties and load variations.

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

Cited by 7 publications

References 18 publications

Power Quality Analysis of Fuzzy DVR based Hybrid Solar PV-PEMFC System Under Severe Disturbance

Power Quality Analysis of Fuzzy DVR based Hybrid Solar PV-PEMFC System Under Severe Disturbance

Robust controller design for a three-shaft industrial gas turbine in the infinite grid power generation

H₂, H_∞, H₂/H_∞, and μ‐synthesis controllers for the speed and temperature control of a real gas turbine unit in a combined cycle power plant

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

Cited by 7 publications

References 18 publications

Power Quality Analysis of Fuzzy DVR based Hybrid Solar PV-PEMFC System Under Severe Disturbance

Power Quality Analysis of Fuzzy DVR based Hybrid Solar PV-PEMFC System Under Severe Disturbance

Robust controller design for a three-shaft industrial gas turbine in the infinite grid power generation

H2, H∞, H2/H∞, and μ‐synthesis controllers for the speed and temperature control of a real gas turbine unit in a combined cycle power plant

Contact Info

Product

Resources

About

H₂, H_∞, H₂/H_∞, and μ‐synthesis controllers for the speed and temperature control of a real gas turbine unit in a combined cycle power plant