An advanced secondary voltage control strategy for future power systems

Lauria, D.; Mottola, F.; Giannuzzi, G.; Pisani, C.

doi:10.1016/j.ijepes.2023.109734

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2024

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Cited by 3 publications

References 16 publications

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Model Predictive Control for Offset-Free Tracking: A New Data-Driven Application for Secondary Voltage Regulation on Transmission Network

Acerbi,

Piccagli,

Pozzi

et al. 2024

2024 International Conference on Smart Energy Systems and Technologies (SEST)

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Model Predictive Control for Offset-Free Tracking: A New Data-Driven Application for Secondary Voltage Regulation on Transmission Network

Acerbi,

Piccagli,

Pozzi

et al. 2024

2024 International Conference on Smart Energy Systems and Technologies (SEST)

View full text Add to dashboard Cite

Voltage Regulation Improved by Stochastic Disturbance Compensation

Chiodo,

Di Palma,

Fantauzzi

et al. 2024

2024 3rd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED)

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Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation

Chiodo,

Di Palma,

Fantauzzi

et al. 2024

Energies

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In this paper, the voltage regulation in power systems is addressed from the perspective of the modern paradigm of control logic supported by phasor measurement units. The information available from measurements is used to better adapt the regulation actions to the actual operation point of the system. The use of the online measurement data allows for identifying the sensitivity matrix and for improving the regulation performances with respect to the fast load variations that increasingly affect modern power systems. With the aim of estimating the sensitivity matrices, a preliminary action is necessary to reconstruct the phases of the network voltages, which are assumed not to be provided by the phasor measurement units. This allows for obtaining a model-free adaptive control method. It is then shown how the regulation problem can be formulated in terms of a linear quadratic Gaussian problem, properly considering the load modeling in terms of the stochastic Ornstein–Uhlenbeck process. This control strategy has the advantage of avoiding dangerous oscillations of power flows, as demonstrated through the results of some simulations on a classical test network. Particularly, the advantage of the proposed approach is shown in the presence of different levels of load disturbances.

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An advanced secondary voltage control strategy for future power systems

Cited by 3 publications

References 16 publications

Model Predictive Control for Offset-Free Tracking: A New Data-Driven Application for Secondary Voltage Regulation on Transmission Network

Model Predictive Control for Offset-Free Tracking: A New Data-Driven Application for Secondary Voltage Regulation on Transmission Network

Voltage Regulation Improved by Stochastic Disturbance Compensation

Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation

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