A unified acceptance test framework for power plant gas turbine control systems

Eslami, Mostafa; Babazadeh, Maryam

doi:10.1016/j.isatra.2018.10.010

Cited by 3 publications

(1 citation statement)

References 40 publications

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“…However, several works have been carried out in this field to overcome the gas turbines modeling issues and their use in control and diagnosis [1][2][3][4][5][6][7][8][9][10][11]. In 2020, Evans et al [12] carried out an identification of the dynamics of gas turbines using signal analysis techniques in the frequency domain for the purpose of turbine control.…”

Section: Introductionmentioning

confidence: 99%

Identification of Two-shaft Gas Turbine Variables Using a Decoupled Multi-model Approach With Genetic Algorithm

Aissat

Hafaifa

Iratni

et al. 2021

Period. Polytech. Mech. Eng.

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In industrial practice, the representation of the dynamics of nonlinear systems by models linking their different operating variables requires an identification procedure to characterize their behavior from experimental data. This article proposes the identification of the variables of a two-shafts gas turbine based on a decoupled multi-model approach with genetic algorithm. Hence the multi-model is determined in the form of a weighted combination of the decoupled linear local state space sub-models, with optimization of an objective cost function in different modes of operation of this machine. This makes it possible to have robust and reliable models using input / output data collected on the examined system, limiting the influence of errors and identification noises.

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Section: Introductionmentioning

confidence: 99%

Identification of Two-shaft Gas Turbine Variables Using a Decoupled Multi-model Approach With Genetic Algorithm

Aissat

Hafaifa

Iratni

et al. 2021

Period. Polytech. Mech. Eng.

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Coordinated control strategy and protection system of gas-steam combined cycle units

Liu

Ruixiang

et al. 2020

J. Phys.: Conf. Ser.

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Introduced tianjin Chen tang zhuang coal to natural gas power plant relocation project issue 2 sets of 900 mw level “two tow one” gas-steam combined cycle unit coordinated control system, in view of the different operation way, used the load distribution is different, and introduce the PID algorithm for load distribution is modified, realize the coordination of total load control unit. Under the way of automatic generation control (AGC), with 30 mw/min rate of rise and fall of the load to load disturbance test results show that the unit operation stability, good load capacity and load in the process of adjusting the maximum dynamic load deviation < 6 mw, and the average static load deviation < 4 mw. It also introduced the unit under the different operation modes, gas turbine, waste heat boiler, steam turbine and generator consideration when the tripping happens in the four major equipment failure, the mutual interlocking protection function.

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Intelligent Built-in Test Design of Controller Module By Improved Biologically Inspired Neural Network

Xie

Hou

Zhang

et al. 2021

2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)

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A unified acceptance test framework for power plant gas turbine control systems

Cited by 3 publications

References 40 publications

Identification of Two-shaft Gas Turbine Variables Using a Decoupled Multi-model Approach With Genetic Algorithm

Identification of Two-shaft Gas Turbine Variables Using a Decoupled Multi-model Approach With Genetic Algorithm

Coordinated control strategy and protection system of gas-steam combined cycle units

Intelligent Built-in Test Design of Controller Module By Improved Biologically Inspired Neural Network

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