Small signal modelling of gas turbine plant for load frequency control

Kumar, S. Selva; Xavier, R. Joseph; Balamurugan, S.

doi:10.1109/pestse.2016.7516506

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…It has various applications in the dynamic study and is extensively used in present works. It offers a stable model for gas turbine modification in temperature control and stability, load frequency control [59,62] and PID control [57]. In [63], an integration of Bayesian and Dempster-Shafer theory into Rowen's model serves as a performance monitoring tool for gas turbines.…”

Section: Black-box Modelmentioning

confidence: 99%

Dry-Low Emission Gas Turbine Technology: Recent Trends and Challenges

et al. 2022

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Dry-low emission (DLE) is one of the cleanest combustion types used in a gas turbine. DLE gas turbines have become popular due to their ability to reduce emissions by operating in lean-burn operation. However, this technology leads to challenges that sometimes interrupt regular operations. Therefore, this paper extensively reviews the development of the DLE gas turbine and its challenges. Numerous online publications from various databases, including IEEE Xplore, Scopus, and Web of Science, are compiled to describe the evolution of gas turbine technology based on emissions, fuel flexibility, and drawbacks. Various gas turbine models, including physical and black box models, are further discussed in detail. Working principles, fuel staging mechanisms, and advantages of DLE gas turbines followed by common faults that lead to gas turbine tripping are specifically discussed. A detailed evaluation of lean blow-out (LBO) as the major fault is subsequently highlighted, followed by the current methods in LBO prediction. The literature confirms that the DLE gas turbine has the most profitable features against other clean combustion methods. Simulation using Rowen’s model significantly imitates the actual behavior of the DLE gas turbine that can be used to develop a control strategy to maintain combustion stability. Lastly, the data-driven LBO prediction method helps minimize the flame’s probability of a blow-out.

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Section: Black-box Modelmentioning

confidence: 99%

Dry-Low Emission Gas Turbine Technology: Recent Trends and Challenges

et al. 2022

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“…Load Frequency Control (LFC) plays a major key role in keeping the system operation and control intact [1][2][3]. Many of the researchers have contributed their work towards LFC in inter-connected system [4][5][6][7][8]. When subjected to load change, a High Voltage Direct Current Transmission (HVDC) Line in anti-parallel with the High Voltage Alternating Current (HVAC) line [9][10][11][12] connecting two areas would result reduced area frequencies and tie-line power flow.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Neuro-Fuzzy Scheduled Load Frequency Controller for Multi Source Multi Area System Interconnected Via Parallel AC-DC Links

Chandrakala¹,

Balamurugan²

2018

IJEEI

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The article focuses towards the development of an optimal secondary controller which could adapt with the varying system conditions to maintain the frequency and tieline power flow variations within the nominal value. For the analysis, a two area multi source system consisting of thermal, hydro and nuclear system in one area is interconnected with another area comprising of thermal and hydro system via parallel AC-DC links. On subjection to unit step load change in demand, the impact on frequency and tie-line power flow variations in multi source multi area is observed under MATLAB / Simulink environment. The fine tuning of frequency and tie-line power flow variations is achieved with the help of secondary controller. Optimal secondary Proportional Integral (PI) controller is chosen based on Zeigler Nichols' (ZN), Genetic Algorithm (GA), Fuzzy Gain Scheduling (FGS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) tuning techniques. On subjection to different load variations at different intervals of time, ANFIS tuned PI controller has retained the frequency and tie-line power variations for a robust multi source multi area system interconnected via parallel AC-DC links in a much faster way to its nominal values than other methods. The performance of the controller is evaluated based on performance indices.

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Small signal modelling of gas turbine plant for load frequency control

Cited by 2 publications

References 13 publications

Dry-Low Emission Gas Turbine Technology: Recent Trends and Challenges

Dry-Low Emission Gas Turbine Technology: Recent Trends and Challenges

Adaptive Neuro-Fuzzy Scheduled Load Frequency Controller for Multi Source Multi Area System Interconnected Via Parallel AC-DC Links

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