An MPC-Based Approach for Emergency Control Ensuring Transient Stability in Power Grids With Steam Plants

Bonfiglio, Andrea; Cantoni, F.; Oliveri, Alberto; Procopio, Renato; Rosini, Alessandro; Invernizzi, M.; Storace, Marco

doi:10.1109/tie.2018.2870384

Cited by 31 publications

(12 citation statements)

References 21 publications

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“…In this sense, designing controllers that maintain the system's performances regarding these constraints is a topic of continuing evolution, hence several are the MPC approaches that have been suggested and studied by researchers. For instance, we can refer to [15][16][17][18][19][20][21] and many others as well. The problem adressed in our framework, is related to regulation task of inside greenhouse temperature, among various modern control strategies , model based predictive control is choosen as a technique to overcome this problem.…”

Section: Introductionmentioning

confidence: 99%

Constrained discrete model predictive control of a greenhouse system temperature

Hamidane

Faiz

Guerbaoui

et al. 2021

IJECE

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In this paper, a constrained discete model predictive control (CDMPC) strategy for a greenhouse inside temperature is presented. To describe the dynamics of our system’s inside temperature, an experimental greenhouse prototype is engaged. For the mathematical modeling, a state space form which fits properly the acquired data of the greenhouse temperature dynamics is identified using the subspace system identification (N4sid) algorithm. The obtained model is used in order to develop the CDMPC starategy which role is to select the best control moves based on an optimization procedure under the constraints on the control notion. For efficient evaluation of the proposed control approach Matlab/Simulink and Yalmip optimization toolbox are used for algorithm and blocks implementation. The simulation results confirm the accuracy of the controller that garantees both the control and the reference tracking objectives.

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Section: Introductionmentioning

confidence: 99%

Constrained discrete model predictive control of a greenhouse system temperature

Hamidane

Faiz

Guerbaoui

et al. 2021

IJECE

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“…Decentralized control has been studied for many years and many results have been obtained relating to interconnected systems [5], [6], [7]. It is well known that uncertainties or modeling errors can seriously affect the performance of controlled systems.…”

Section: Introductionmentioning

confidence: 99%

Robust decentralised load frequency control for interconnected time delay power systems using sliding mode techniques

Onyeka

Yan

Mao

et al. 2020

IET Control Theory & Applications

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In this paper, a class of interconnected systems is considered, where the nominal isolated systems are fully nonlinear. A robust decentralised sliding mode control based on static state feedback is developed. By local coordinate transformation and feedback linearization, the interconnected system is transformed to a new regular form. A composite sliding surface which is a function of the system state variables is proposed and the stability of the corresponding sliding mode dynamics is analysed. A new reachability condition is proposed and a robust decentralised sliding mode control is then designed to drive the system states to the sliding surface in finite time and maintain a sliding motion thereafter. Both uncertainties and interconnections are allowed to be unmatched and are assumed to be bounded by nonlinear functions. The bounds on the uncertainties and interconnections have more general forms when compared with existing work. A MATLAB simulation example is used to demonstrate the effectiveness of the proposed method.

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“…Decentralized control has been studied for many years and many results have been obtained relating to interconnected systems . It is well known that uncertainties or modeling errors can seriously affect the performance of controlled systems.…”

Section: Introductionmentioning

confidence: 99%

“…4 Decentralized control has been studied for many years and many results have been obtained relating to interconnected systems. [5][6][7] It is well known that uncertainties or modeling errors can seriously affect the performance of controlled systems. The uncertainties in subsystems will not only affect their own performance, but also affect the entire system's 2152…”

mentioning

confidence: 99%

Decentralized sliding mode control for a class of nonlinear interconnected systems by static state feedback

Feng

Zhao

Yan

et al. 2020

Intl J Robust & Nonlinear

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Summary In this paper, a class of interconnected systems is considered, where the nominal isolated systems are fully nonlinear. A robust decentralized sliding mode control based on static state feedback is developed. By local coordinate transformation and feedback linearization, the interconnected system is transformed to a new regular form. A composite sliding surface which is a function of the system state variables is proposed and the stability of the corresponding sliding mode dynamics is analyzed. A new reachability condition is proposed and a robust decentralized sliding mode control is then designed to drive the system states to the sliding surface in finite time and maintain a sliding motion thereafter. Both uncertainties and interconnections are allowed to be unmatched and are assumed to be bounded by nonlinear functions. The bounds on the uncertainties and interconnections have more general forms when compared with existing work. A MATLAB simulation example is used to demonstrate the effectiveness of the proposed method.

show abstract

An MPC-Based Approach for Emergency Control Ensuring Transient Stability in Power Grids With Steam Plants

Cited by 31 publications

References 21 publications

Constrained discrete model predictive control of a greenhouse system temperature

Constrained discrete model predictive control of a greenhouse system temperature

Robust decentralised load frequency control for interconnected time delay power systems using sliding mode techniques

Decentralized sliding mode control for a class of nonlinear interconnected systems by static state feedback

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