A Novel Fuzzy Model Predictive Control of a Gas Turbine in the Combined Cycle Unit

Hou, Guolian; Gong, Liangyi; Dai, Xiaohu; Wang, Mengyi; Huang, Congzhi

doi:10.1155/2018/6468517

Cited by 14 publications

(6 citation statements)

References 48 publications

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“…These restrictions are associated with performance deterioration of the main equipment with increase of ambient temperatures. [5][6][7]. There are several steps that can be taken to remove or alleviate these restrictions.…”

Section: Methodsmentioning

confidence: 99%

Study of the work and efficiency improvement of combined-cycle gas turbine plants

et al. 2019

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The purpose of the paper is to study and analyze the possibility of increasing the power output of a combined-cycle gas turbine (CCGT) unit during the period of positive ambient temperatures. The first task is to analyze the operation of a 110 MW combined-cycle power unit at various ambient temperatures and to obtain alterations in the main CCGT characteristics when the ambient temperature changes. The other task is to study the usage of an absorption refrigeration machine in a CCGT cycle to increase its energy efficiency. Calculations of the thermal scheme of a gas turbine were carried out using mathematical modeling, the steam turbine was calculated based on guidelines. The conducted studies allow to conclude that the use of an absorption refrigeration machine in the cycle of a combined-cycle plant can improve the efficiency of the unit, increasing profits from power generation, and reducing penalties for non-compliance with the load schedule.

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Section: Methodsmentioning

confidence: 99%

Study of the work and efficiency improvement of combined-cycle gas turbine plants

et al. 2019

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“…For a prediction horizon N, the following cost index is minimized for the instant k [7]:

\begin{equation} \begin{split} J(k) &= \sum _{j=0}^{N}{\left(y_r-y(k+j)\right)}^T Q_{y}(j) {\left(y_r-y(k+j)\right)} \\ &\quad +\,\sum _{j=0}^{N-1} \delta u^T(k+j) R(j) \delta u(k+j). \end{split} \end{equation}

…”

Section: Model Predictive Controlmentioning

confidence: 99%

Incremental state model in predictive control: A new fuzzy control proposal for nonlinear systems

Al‐Hadithi

Adánez

Comina

et al. 2022

IET Control Theory & Appl

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In this work, a fuzzy predictive optimal control for multivariable nonlinear systems with pure time delays is presented. Therefore, dynamic local linear state models are used at each point of the state space obtained by fuzzy Takagi‐Sugeno (T‐S) modelling. The modelling error is considered as white noise, and the state is observed using the Kalman Filter (KF). This method does not take into account possible input constraints. Therefore, it applies to systems where there are no saturation problems. In this work, a new approach in the Model Predictive Control (MPC) method is proposed by calculating the control signal increment as a function of the error between a reference state vector and the prediction at N‐steps of the state vector instead of using the traditional MPC approach which is based on calculating the error between a reference and the predicted output. The proposed method has a satisfactory tracking performance. The main feature of the proposed method is that it attains computational savings compared to other methods that have used incremental state models, which making it more appropriate for real‐time applications.

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“…There also (13) is zero for w = 0. Thus, stability boundary is a line defined by (12). Moreover, for w = 0 from ( 12)…”

Section: Determination Of Stable Region For Pi Type Controller Using ...mentioning

confidence: 99%

“…Hou et al proposed the fuzzy logic-based MPC method to the gas turbine model and the simulation results showed stronger disturbance rejection with higher control precision. 12 In another study, Hou et al proposed a fast MPC method for controlling a gas turbine, and it was observed that the controller has a fast settling time. 13 Kavalerov et al used adaptive control application for speed control in their natural gas turbine power plants.…”

Section: Introductionmentioning

confidence: 99%

PI control based on parameter space approach supported metaheuristic optimization algorithms and ANFIS in a natural gas combined cycle power plant

Bayhan

Tiryaki

2021

Optim Control Appl Methods

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In this article, proportional‐integral (PI) control to ensure stable operation of a steam turbine in a natural gas combined cycle power plant is investigated, since active power control is very important due to the constantly changing power flow differences between supply and demand in power systems. For this purpose, an approach combining stability and optimization in PI control of a steam turbine in a natural gas combined cycle power plant is proposed. First, the regions of the PI controller, which will stabilize this power plant system in closed loop, are obtained by parameter space approach method. In the next step of this article, it is aimed to find the best parameter values of the PI controller, which stabilizes the system in the parameter space, with artificial intelligence‐based control and metaheuristic optimization. Through parameter space approach, the proposed optimization algorithms limit the search space to a stable region. The controller parameters are examined with Particle Swarm Optimization based PI, artificial bee colony based PI, genetic algorithm based PI, gray wolf optimization based PI, equilibrium optimization based PI, atom search optimization based PI, coronavirus herd immunity optimization based PI, and adaptive neuro‐fuzzy inference system based PI (ANFIS‐PI) algorithms. The optimized PI controller parameters are applied to the system model, and the transient responses performances of the system output signals are compared. Comparison results of all these methods based on parameter space approach that guarantee stability for this power plant system are presented. According to the results, ANFIS‐ PI controller is better than other methods.

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A Novel Fuzzy Model Predictive Control of a Gas Turbine in the Combined Cycle Unit

Cited by 14 publications

References 48 publications

Study of the work and efficiency improvement of combined-cycle gas turbine plants

Study of the work and efficiency improvement of combined-cycle gas turbine plants

Incremental state model in predictive control: A new fuzzy control proposal for nonlinear systems

PI control based on parameter space approach supported metaheuristic optimization algorithms and ANFIS in a natural gas combined cycle power plant

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