Small and large signal modeling of heavy duty gas turbine plant for load frequency control

Balamurugan, S.; Janarthanan, N.; Chandrakala, K.R.M. Vijaya

doi:10.1016/j.ijepes.2016.01.001

Cited by 29 publications

(10 citation statements)

References 14 publications

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“…• Scenario 1: This scenario tries to minimize complications caused by fluctuations from the transitory states between set points [27]. This softening is achieved by transferring a recalculated working set point to turbines, based on the average power demand from the previous minute.…”

Section: Methodsmentioning

confidence: 99%

Second-Life Batteries on a Gas Turbine Power Plant to Provide Area Regulation Services

Casals

García

2017

Batteries

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Batteries are used in the electricity grid to provide ancillary services. Area regulation seems to provide substantial revenues and profit, but Li-ion batteries are still too expensive to enter widely into this market. On the other hand, electric vehicle (EV) batteries are considered inappropriate for traction purposes when they reach a state of health (SoH) of 80%. The reuse of these batteries offers affordable batteries for second-life stationary applications. This study analyzes two possible scenarios where batteries may give power and energy support to a gas turbine cogeneration power plant, and how long these batteries may last under different loads.

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Section: Methodsmentioning

confidence: 99%

Second-Life Batteries on a Gas Turbine Power Plant to Provide Area Regulation Services

Casals

García

2017

Batteries

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show abstract

“…This scenario tries to minimize complications caused by fluctuations from the transitory states between set points [19]. This softening is achieved by transferring to turbines a recalculated working set point based on the average power demand during the last minute.…”

Section: Methodsmentioning

confidence: 99%

2nd life batteries on a gas turbine power plant to provide area regulation services.

Casals¹,

García²

2016

Preprint

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Batteries are called to be part of the electricity grid by providing ancillary services. Area regulation services seem to provide substantial revenues and profit. But Li-ion batteries are still too expensive to enter widely into this market. On the other hand, electric vehicle batteries are considered inappropriate for traction purposes when they reached a state of health of 80%. The reuse of these batteries offers affordable batteries for second life stationary applications. This study analyzes how batteries may provide services to a gas turbine cogeneration power plant and how long these batteries may last under different loads.

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“…In a word, there are some potential works in this field of gas turbine speed control as well as the study of the frequency variations in line with the amount of power produced, while the performance of classical control approaches are considered. Hereinafter, the intelligence-based approaches including neural network and so on as a way to manage load shedding are studied, in order to guarantee the appropriate performance of the frequency stability [19][20][21][22].…”

Section: The Related Workmentioning

confidence: 99%

“…The simplified Rowen linear representation is just illustrated in Fig. 2, ignoring some temperature limitations of turbine [19]. In this model, T L parameter is taken as the mechanical torque by equipment connected to the turbine, against the torque of the turbine, which enters the turbine shaft.…”

Section: Turbine Modelmentioning

confidence: 99%

Controlling disturbances of islanding in a gas power plant via fuzzy-based neural network approach with a focus on load-shedding system

Moloudi

Mazinan

2018

Complex Intell. Syst.

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In a number of power plants such as the South Pars Gas Company, efficient control performance regarding the turbine generator is always needed to avoid facing disturbances of islanding in the supply of power, at each instance of time. It is particularly important to deal with through state-of-the-art techniques, due to the fact that the separation of the electrical grid may increase or reduce the speed of the above-referenced turbine generator and correspondingly the frequency, in its permitted range, may be deviated to stop power generation, abruptly. With this key goal, a set of control strategies through the representation of the gas turbine via Rowen is proposed in the present research. In a word, there are some classical and intelligence-based control approaches to cope with the disturbance of islanding with a focus on load-shedding system. In reality, the proposed investigation is mainly concentrating on the fuzzy-based neural network control approach to cope with the turbulence of frequency deviation. The main contribution made in this research is to deal with gas turbine model in association with generator in conjunction with load-shedding system, while intelligence-based techniques considering fuzzy, neural network and genetic algorithm are synchronously established to design the control strategy with high accuracy. In the sequel, the effectiveness of the proposed intelligence-based control approach is verified, while the classical proportionalintegral-derivative control approach via the Ziegler-Nichols and also the simulated annealing tuning processes are taken as the benchmarks.

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Small and large signal modeling of heavy duty gas turbine plant for load frequency control

Cited by 29 publications

References 14 publications

Second-Life Batteries on a Gas Turbine Power Plant to Provide Area Regulation Services

Second-Life Batteries on a Gas Turbine Power Plant to Provide Area Regulation Services

2nd life batteries on a gas turbine power plant to provide area regulation services.

Controlling disturbances of islanding in a gas power plant via fuzzy-based neural network approach with a focus on load-shedding system

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