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Decentralized model predictive based load frequency control in an interconnected power system Research Area: Faculty of Engineering Year:

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TLDR
In this article, a new load frequency control (LFC) design using the model predictive control (MPC) technique in a multi-area power system is presented, where each local area controller is designed independently such that stability of the overall closed-loop system is guaranteed.
Abstract
This paper presents a new load frequency control (LFC) design using the model predictive control (MPC) technique in a multi-area power system. The MPC technique has been designed such that the effect of the uncertainty due to governor and turbine parameters variation and load disturbance is reduced. Each local area controller is designed independently such that stability of the overall closed-loop system is guaranteed. A frequency response model of multi-area power system is introduced, and physical constraints of the governors and turbines are considered. The model was employed in the MPC structures. Digital simulations for both two and three-area power systems are provided to validate the effectiveness of the proposed scheme. The results show that, with the proposed MPC technique, the overall closed-loop system performance demonstrated robustness in the face of uncertainties due to governors and turbines parameters variation and loads disturbances. A performance comparison between the proposed controller and a classical integral control scheme is carried out confirming the superiority of the

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Citations
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Application of GA optimization for automatic generation control design in an interconnected power system

TL;DR: In this paper, a genetic algorithm (GA) is used to compute the decentralized control parameters to achieve an optimum operating point for a 3-control area power system, and the closed-loop performance is examined in the presence of various constraints scenarios.
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Coordinated Control of Wind Turbine Blade Pitch Angle and PHEVs Using MPCs for Load Frequency Control of Microgrid

TL;DR: The simulation results confirm that the coordinated control of blade pitch angle of wind turbine generators and plug-in hybrid electric vehicles using MPCs is able to reduce the number of PHEVs and the frequency fluctuation can be maintained significantly.
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Model Predictive Load-Frequency Control

TL;DR: In this article, a model predictive controller (MPC) for load frequency control (LFC) of an interconnected power system is investigated, based on a simplified system model of the Nordic power system, and it takes into account limitations on tie-line power flow, generation capacity and generation rate of change.
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Design and analysis of tilt integral derivative controller with filter for load frequency control of multi-area interconnected power systems.

TL;DR: Investigations reveal that proposed TIDF controllers provide better dynamic response compared to PID controller in terms of minimum undershoots and settling times of frequency as well as tie-line power deviations following a disturbance.
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Robust sensor fault detection and isolation scheme for interconnected smart power systems in presence of RER and EVs using unknown input observer

TL;DR: The robustness of using UIO to detect and isolate sensor faults in power system is proved by several simulation scenarios and the simulation results show that isolation of faulty sensors can be guaranteed by proper selection of the measured variables in the state space model of the studied system.
References
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Journal ArticleDOI

Distributed MPC Strategies With Application to Power System Automatic Generation Control

TL;DR: A distributed model predictive control framework, suitable for controlling large-scale networked systems such as power systems, is presented and the distributed MPC algorithm is feasible and closed-loop stable under intermediate termination.
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Adaptive fuzzy gain scheduling for load frequency control

TL;DR: An adaptive fuzzy gain scheduling scheme for conventional PI and optimal load frequency controllers and a Sugeno type fuzzy inference system is used in the proposed controller.
Journal ArticleDOI

Area load frequency control using fuzzy gain scheduling of PI controllers

TL;DR: In this paper, a fuzzy gain scheduling of proportional-integral (PI) controllers is proposed for area load frequency control (LFC) problem using fuzzy-gain scheduling of PI controllers.
Journal ArticleDOI

On Load–Frequency Regulation With Time Delays: Design and Real-Time Implementation

TL;DR: In this article, a robust decentralized proportional-integral (PI) control design for power system load-frequency regulation with communication delays is proposed, which is suitable for LFC applications that usually employ the PI control.
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