Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation
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 syst...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/1/4 |
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| author | Elio Chiodo Pasquale Di Palma Maurizio Fantauzzi Davide Lauria Fabio Mottola Domenico Villacci |
| author_facet | Elio Chiodo Pasquale Di Palma Maurizio Fantauzzi Davide Lauria Fabio Mottola Domenico Villacci |
| author_sort | Elio Chiodo |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8d93a59eda73406ab0f76cea77e81eae |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-8d93a59eda73406ab0f76cea77e81eae2025-08-20T02:36:15ZengMDPI AGEnergies1996-10732024-12-01181410.3390/en18010004Linear Quadratic Gaussian Integral Control for Secondary Voltage RegulationElio Chiodo0Pasquale Di Palma1Maurizio Fantauzzi2Davide Lauria3Fabio Mottola4Domenico Villacci5Department of Industrial Engineering, University of Naples Federico II, 80125 Naples, ItalyDepartment of Industrial Engineering, University of Naples Federico II, 80125 Naples, ItalyDepartment of Industrial Engineering, University of Naples Federico II, 80125 Naples, ItalyDepartment of Industrial Engineering, University of Naples Federico II, 80125 Naples, ItalyDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, ItalyDepartment of Industrial Engineering, University of Naples Federico II, 80125 Naples, ItalyIn 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.https://www.mdpi.com/1996-1073/18/1/4secondary voltage regulatorlinear quadratic Gaussian integral regulatorOrnstein–Uhlenbeck processPMU |
| spellingShingle | Elio Chiodo Pasquale Di Palma Maurizio Fantauzzi Davide Lauria Fabio Mottola Domenico Villacci Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation Energies secondary voltage regulator linear quadratic Gaussian integral regulator Ornstein–Uhlenbeck process PMU |
| title | Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation |
| title_full | Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation |
| title_fullStr | Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation |
| title_full_unstemmed | Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation |
| title_short | Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation |
| title_sort | linear quadratic gaussian integral control for secondary voltage regulation |
| topic | secondary voltage regulator linear quadratic Gaussian integral regulator Ornstein–Uhlenbeck process PMU |
| url | https://www.mdpi.com/1996-1073/18/1/4 |
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