A nonlinear exponential ARX model-based multivariable generalized predictive control strategy for thermal power plants

Peng, Hui; Ozaki, Tohru; Haggan-Ozaki, V.; Toyoda, Yasushi

doi:10.1109/87.987071

Cited by 44 publications

(3 citation statements)

References 7 publications

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“…And only a few literatures on decoupling control of steam power plant in the thermal power station in land can be seen in authoritative journals [1,[4][5][6][7][8][10][11][12][37][38][39][40]. In [8,[37][38][39][40], linear model predictive control (MPC) is used for the coupling problem. Most of the models used in [8,[37][38][39][40] come from [2], or identified by neural network and fuzzy methods.…”

Section: The Control Of the Steam Generation Processmentioning

confidence: 99%

“…In [8,[37][38][39][40], linear model predictive control (MPC) is used for the coupling problem. Most of the models used in [8,[37][38][39][40] come from [2], or identified by neural network and fuzzy methods. Since MBTS in this paper is a non-linear strong coupling multi-operation system, MPC is no longer applicable, and the use of nonlinear model predictive control (NMPC) will produce new problems: (1) nonlinear models and multiple operating conditions in MBTS will make the optimization problem of NMPC a non-convex optimization problem, which will cause the sequential quadratic programming method no longer be applicable; (2) generally, the stability of NMPC usually achieved by making the terminal state of the system into a specified terminal constraint set (which can be equality constraints or inequality constraints), but the current NMPC terminal constraint set lacks an effective design method.…”

Section: The Control Of the Steam Generation Processmentioning

confidence: 99%

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An Intelligent Bio-Inspired Cooperative Decoupling Control Strategy for the Marine Boiler-Turbine System with a Novel Energy Dynamic Model

Liu

Zhao

et al. 2019

Energies

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This paper presents an intelligent bio-inspired cooperative decoupling control strategy (IBICDC) for the problems of modeling difficulties and strong coupling in the marine boiler-turbine system (MBTS). First, the model of the main steam pressure control loop is successfully constructed by introducing the Martin-Hou equation, which solves the modeling difficulty caused by the complexity of structure, operation mechanism, and operation conditions, as well as the characteristics of nonlinearity, parameter time-varying, and time-delay in the marine boiler (MB). According to the mathematic method of homeomorphic mapping relationship between the rotational speed and the kinetic energy in the marine steam turbine with propeller (MSTP) and the feedback linearization method, the nonlinear degree of the MSTP rotational speed control loop model is reduced and the infinite point of discontinuity in the rotational acceleration when the rotational speed close to 0 is eliminated. Then, the IBICDC inspired by the internal environment regulation mechanism of human body is applied to the strong coupling problem between the two control loops, namely, to eliminate the large value sudden change of the main steam pressure caused by the change of operation conditions. The conventional decoupling methods are also presented. Finally, detailed numerical simulations are conducted to validate the effectiveness of the IBICDC strategy.

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Section: The Control Of the Steam Generation Processmentioning

confidence: 99%

Section: The Control Of the Steam Generation Processmentioning

confidence: 99%

An Intelligent Bio-Inspired Cooperative Decoupling Control Strategy for the Marine Boiler-Turbine System with a Novel Energy Dynamic Model

Liu

Zhao

et al. 2019

Energies

View full text Add to dashboard Cite

show abstract

“…Na referência (Peng et al, 2002) os autores utilizam modelos não lineares estimados para controlar usinas termoelétricas considerando uma dinâmica não linear com a carga. Em (Wu et al, 2004) métodos de identificação foram utilizadas para se estimar um modelo de controle para a orientação de uma aeronave, utilizando os registros de vôo de uma aeronave em escala.…”

Section: Introductionunclassified

Aplicação de métodos de identificação de sistemas para estimação da margem de estabilidade de tensão em tempo real usando PMUs

Anzai¹

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This thesis presents results about the development of a tool for real time monitoring of the voltage stability margin of transmission systems. The advance of Phasor Measurement Units (PMU), has made it easier to obtain the system's state, voltage magnitude and phase angles of some buses in real time. The access of the accurate system's state in real time allows the utilization of parametric system identification techniques to estimate the voltage stability margin. In this thesis linear and nonlinear Auto-Regressive eXogenous inputs (ARX) models were calculated based on an offline database and utilized to represent the relation between the PMU measures and the voltage stability margin. Two criteria for the allocation of the PMUs in the network were tested: the voltage variance and the modal participation factor. The results demonstrate that the proposed method presents adequate accuracy for the estimation of the voltage stability margin even considering the occurrence of contingencies. The estimation is performed through the execution of relatively simple operations on the measured values instead of computing several PV curves, which makes it suitable for real time applications.

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A thermal nonlinear dynamic model for water tube drum boilers

Habib

Emara-Shabaik

Al-Zaharnah

et al. 2009

Int. J. Energy Res.

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SUMMARYA thermal model for the prediction of possible tube overheating was developed. The model incorporates a nonlinear state space dynamic model that captures the important physical interactions of the main variables of steam generation in naturally circulated water tube drum boilers. This paper provides an investigation of the dynamic effects of rapid rise in fuel flow rate (heat input) on the thermal and flow characteristics of the riser tubes in natural circulation water tube boilers. The system under consideration includes the drum, riser and downcomer as its major components. The dynamic response of the system's state variables due to rapid rises in fuel flow rates was investigated.The results show that the sudden rise in the firing rate is followed by an increase in the steam quality, which is accompanied by a decrease in the circulation rate as a result of increase in the pressure. The riser temperature increases slightly above the saturation temperature due to the increase in the steam temperature and due to the dynamic influence resulting from sudden increase in the heat flux. The present calculations of the water level in the drum provide good comparison with those in the literature.

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A nonlinear exponential ARX model-based multivariable generalized predictive control strategy for thermal power plants

Cited by 44 publications

References 7 publications

An Intelligent Bio-Inspired Cooperative Decoupling Control Strategy for the Marine Boiler-Turbine System with a Novel Energy Dynamic Model

An Intelligent Bio-Inspired Cooperative Decoupling Control Strategy for the Marine Boiler-Turbine System with a Novel Energy Dynamic Model

Aplicação de métodos de identificação de sistemas para estimação da margem de estabilidade de tensão em tempo real usando PMUs

A thermal nonlinear dynamic model for water tube drum boilers

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