Gas turbine generating units control via feedback linearization approach

Bonfiglio, Andrea; Cacciacarne, S.; Invernizzi, M.; Procopio, Renato; Schiano, S.; Torre, I.

doi:10.1016/j.energy.2017.01.048

Cited by 40 publications

(29 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, model-based control techniques have been increasingly explored in this field. The feedback linearization (FBL) approach [5] first appeared in [6], where the authors proved the effectiveness of the model-based technique with respect to traditional controllers. However, such work is affected by some major limitations.…”

Section: Introductionmentioning

confidence: 99%

“…Except for the research mentioned above, most authors have focused their attention on the application of innovative control systems to microturbines, where the combustion chamber temperature (CCT) does not assume a critical behavior and, therefore, there are far fewer restrictive dynamic performance limitations.The main contributions of this paper can be summarized as follows:• Design of an MPC controller able to minimize the power response time to rapid reference variations compatibly with the dynamic limitations imposed by the CCT. • Development of an MPC controller based on a reduced-order GT model that can handle model uncertainties.Finally, the performance determined by the MPC are compared with the ones given by traditional PID controllers (which are currently employed in actual GTs) and the FBL control designed in [6].The paper is structured as follows: Section 2 states the control problem and describes the GT model used for the MPC design, Section 3 describes the controller synthesis, Section 4 shows the results, and Section 5 discusses the main conclusions.…”

mentioning

confidence: 99%

“…Finally, the performance determined by the MPC are compared with the ones given by traditional PID controllers (which are currently employed in actual GTs) and the FBL control designed in [6].…”

mentioning

confidence: 99%

See 2 more Smart Citations

A Model Predictive Control Design for Power Generation Heavy-Duty Gas Turbines

et al. 2019

View full text Add to dashboard Cite

The new electric power generation scenario, characterized by growing variability due to the greater presence of renewable energy sources (RES), requires more restrictive dynamic requirements for conventional power generators. Among traditional power generators, gas turbines (GTs) can regulate the output electric power faster than any other type of plant; therefore, they are of considerable interest in this context. In particular, the dynamic performance of a GT, being a highly nonlinear and complex system, strongly depends on the applied control system. Proportional-integral-derivative (PID) controllers are the current standard for GT control. However, since such controllers have limitations for various reasons, a model predictive control (MPC) was designed in this study to enhance GT performance in terms of dynamic behavior and robustness to model uncertainties. A comparison with traditional PID-based controllers and alternative model-based control approaches (feedback linearization control) found in the literature demonstrated the effectiveness of the proposed approach.Energies 2019, 12, 2182 2 of 17 measurements of all the state variables to solve the control problem. In most cases, EGT measurement is a difficult task due to the relevant time constant of a thermometer that can endure such a high-stress installation environment.In order to deal with a system state measure that is not exactly known, a robust approach has to be carried out. In this context, the sliding mode (SM) control theory of [5] was used for a reduced-order GT model in [7], while a more accurate fifth-order SM controller was designed in [8], which performed well. Given the complexity of the system, further efforts have to be made to overcome some current difficulties by exploring other modern control theories.Hence, the aim of this study was to develop a controller according to the model predictive control (MPC) technique in order to investigate the feasibility and the potential of this approach for heavy-duty GTs. In particular, the controller was developed following the theory presented in [9,10]. Some MPC approaches can be found in this line of research. For instance, an explicit MPC controller was designed for transient stability in a power system in [11]. An elementary predictive control was designed in [12] on the basis of a simplified single-input single-output (SISO) model developed in [13]. Two MPC-based strategies for a micro-GT-based combined cooling, heating, and power system are presented in [14], while an MPC strategy was applied to obtain micro-GT speed control in [15]. In [16], a multi-input multioutput (MIMO) nonlinear MPC control was developed. Other MPC applications can be found in the field of thrust engines for aircrafts, such as in [17,18]. However, very few MPC applications for heavy-duty GTs have been designed. For instance, [19] used a nonlinear MPC (NMPC) based on a simplified heavy-duty GT MIMO model for frequency and temperature control. In [20], the authors proposed an MPC approach for frequency control and NO x ...

show abstract

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

A Model Predictive Control Design for Power Generation Heavy-Duty Gas Turbines

et al. 2019

View full text Add to dashboard Cite

show abstract

“…In [1] and [2], mathematical models of the gas turbines are described. In [5][6][7], feedback linearization techniques are employed. In [5][6][7], feedback linearization techniques are employed.…”

Section: Introductionmentioning

confidence: 99%

Control of two Electrical Plants

Rubio¹,

López

Pacheco³

et al. 2017

Asian Journal of Control

View full text Add to dashboard Cite

In this paper, a controller is recommended for the regulation of two electrical plants. Since electrical plants generate electricity all the time, the regulation to get that all the plant states reach constant behaviors is important. Two main characteristics of the introduced method are: (i) it is based in the separation of the plant model equations, only some model equations are chosen for the regulation while the other model equations are ignored, it avoids the difficulty in the consideration of the full plant model; (ii) the Lyapunov strategy is employed to analyze the stability of the selected model equations in the electrical plant, it lets to ensure the regulation purpose. The advised method is applied in a gas turbine and a wind turbine for the electricity generation.

show abstract

“…Thanks to this procedure, it is very simple to design a control system whose closed loop dynamics can be defined via a pole placement and provide the tracking of the reference signal [3]. The FBL technique has been widely employed in robotics and electronics [4], but its application is also becoming more and more relevant in the electricity power systems [5][6][7]. The proposed approach will focus on a two-frame linearization of the system accounting separately for the design of the Machine Side Converter (MSC) control and the Grid Side Converter (GSC) one.…”

Section: Introductionmentioning

confidence: 99%