A dynamic mathematical model for once-through boiler-turbine units with superheated steam temperature

He, Fan; Su, Zhi‐gang; Wang, Peihong; Lee, Kwang Y.

doi:10.1016/j.applthermaleng.2020.114912

Cited by 39 publications

(14 citation statements)

References 34 publications

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“…A physics-informed model of a once-through power plant was built by Fan et al (2020) [12]. Following the principle that mass and energy are always conserved, the authors created the model's structure using nonlinear regression and optimization techniques to determine its static parameters.…”

Section: Review On Modelingmentioning

confidence: 99%

Parameter Identification and Sliding Pressure Control of a Supercritical Power Plant Using Whale Optimizer

2022

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Sliding pressure control is a well-known method of controlling supercritical power plants that improves energy efficiency and reduces pressure dynamic stresses. This paper presents a novel approach for developing a supercritical cleaner coal power plant’s sliding pressure control strategy. First, using Whale Optimizer, a nonlinear identified transfer matrix model was created (WO). By comparing simulations and errors, the WO clearly outperforms the GA and Grey-Wolf Optimizer (GWO) techniques on parameter identification. The model also includes a multivariable PI/PD controller for improved plant operation. Again, WO controller tuning outperformed GA and GWO in terms of pressure deviations, power deviations, rise time, and fuel usage. It is now argued that the WO is superior to other techniques in modeling and controlling system dynamics, energy efficiency, and cleaner operation.

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Section: Review On Modelingmentioning

confidence: 99%

Parameter Identification and Sliding Pressure Control of a Supercritical Power Plant Using Whale Optimizer

2022

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“…Using ( 19) and ( 20), the LMI in ( 14) is solved in MATLAB software. The solution results are represented below: Therefore, the unknown input, T m , can be reconstructed by the observer (10) and the LMI results in (21). For the gathered data during Test 1, the measured SG input, output signals, and the reconstructed T m are demonstrated in Figures 5 and 6.…”

Section: Computation Of T M Using the Uir Algorithmmentioning

confidence: 99%

“…The proposed boiler model contains fuel dynamics, water-walls, and the generated steam pressure in the drum. Furthermore, the authors in [19][20][21] have represented a dynamic model for a steam unit with a once-through boiler, which could be utilized for control purposes. In [22,23], the new control schemes for coordinated turbine-boiler strategy have been proposed using a constrained predictive strategy and a class of fuzzy inference systems, respectively.…”

Section: Introductionmentioning

confidence: 99%

Inclusive modelling and parameter estimation of a steam power plant using an LMI‐based unknown input reconstruction algorithm

Arastou

Rabieyan

Karrari

2021

IET Generation Trans & Dist

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A comprehensive dynamic model of a steam power plant, including turbine, governor, and boiler models, is proposed in this paper. The whole turbine-boiler control strategies inter alia turbine following, boiler following, coordinated control, and sliding pressure control modes are also taken into account in the modelling procedure, making the integrated model adaptable for all the steam units. A novel multi-stage algorithm is asserted in the other part of the paper to estimate the obtained model parameters using input-output data from operational tests. Regarding the fact that the mechanical power as the turbine output and one of the synchronous generator (SG) inputs cannot be measured directly, an efficacious unknown input reconstruction (UIR) method is employed in this paper to determine the mechanical power from SG measured signals. The UIR observer in this method is obtained by solving a linear matrix inequality (LMI). Other parameters are identified by applying a Genetic Algorithm (GA) to the measurement data. Finally, the acquired model and parameters are validated by employing the recorded data from several tests, and the results are discussed.

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“…Most references on dynamic models of boilers focus on a specific type of boiler or on detailed representations including chemical processes [6,7]. In addition, water is usually converted into steam, which implies steam is the end-product [8]. However, heating systems of public facilities (e.g.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Model of a Boiler Adaptable to Green Fuels for a Heating System

Daniel¹,

Sandoval²,

Bastida³

et al. 2022

Preprint

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A dynamic mathematical model for once-through boiler-turbine units with superheated steam temperature

Cited by 39 publications

References 34 publications

Parameter Identification and Sliding Pressure Control of a Supercritical Power Plant Using Whale Optimizer

Parameter Identification and Sliding Pressure Control of a Supercritical Power Plant Using Whale Optimizer

Inclusive modelling and parameter estimation of a steam power plant using an LMI‐based unknown input reconstruction algorithm

Dynamic Model of a Boiler Adaptable to Green Fuels for a Heating System

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