Decentralized data-driven voltage control for clustered PV inverters with local deviation priority
Decentralized data-driven voltage control for clustered PV inverters with local deviation priority
This paper presents a decentralised, data-driven voltage control strategy designed to coordinate multiple photovoltaic (PV) inverters operating as a cluster, with a focus on mitigating local voltage deviations. The proposed framework is fully data-driven, obviating the need for prior knowledge of system parameters. A power-sharing mechanism is integrated to facilitate effective coordination among PV inverters within the cluster, dynamically adapting to both local and global voltage conditions. Simulation results on an actual distribution network confirm the method's effectiveness in maintaining voltage regulation at the point of common coupling (PCC) while ensuring that all local voltages remain within permissible operational limits. The approach exhibits robust adaptability to system variations, addressing challenges posed by high PV penetration and dynamic network changes. Numerical simulations conducted in MATLAB/Simulink highlight the method's potential to enhance grid stability and support the integration of renewable energy into modern distribution networks.
Distribution networks, dynamic voltage support, PV penetration, Volt/Var control
67136-67148
Pacheco-Cherrez, David S.
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Mayo-Maldonado, Jonathan C.
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Escobar, Gerardo
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Guillen, Daniel
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Daniel Davalos Soto, Jesus
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Pacheco-Cherrez, David S.
ea482515-1bd5-4d41-ba0b-76f456e7a9d7
Mayo-Maldonado, Jonathan C.
c7321b60-3130-43f4-89f4-f12ac5b2f822
Escobar, Gerardo
9d5b1954-920f-46b6-83a3-fc61eed024f2
Guillen, Daniel
c07e8c31-c78a-494e-98de-69baf845afa5
Daniel Davalos Soto, Jesus
c11fa74a-9c6e-4574-8f03-66a98df49183
Pacheco-Cherrez, David S., Mayo-Maldonado, Jonathan C., Escobar, Gerardo, Guillen, Daniel and Daniel Davalos Soto, Jesus
(2025)
Decentralized data-driven voltage control for clustered PV inverters with local deviation priority.
IEEE Access, 13, .
(doi:10.1109/ACCESS.2025.3560312).
Abstract
This paper presents a decentralised, data-driven voltage control strategy designed to coordinate multiple photovoltaic (PV) inverters operating as a cluster, with a focus on mitigating local voltage deviations. The proposed framework is fully data-driven, obviating the need for prior knowledge of system parameters. A power-sharing mechanism is integrated to facilitate effective coordination among PV inverters within the cluster, dynamically adapting to both local and global voltage conditions. Simulation results on an actual distribution network confirm the method's effectiveness in maintaining voltage regulation at the point of common coupling (PCC) while ensuring that all local voltages remain within permissible operational limits. The approach exhibits robust adaptability to system variations, addressing challenges posed by high PV penetration and dynamic network changes. Numerical simulations conducted in MATLAB/Simulink highlight the method's potential to enhance grid stability and support the integration of renewable energy into modern distribution networks.
Text
Decentralized_Data-Driven_Voltage_Control_for_Clustered_PV_Inverters_With_Local_Deviation_Priority
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Accepted/In Press date: 9 April 2025
e-pub ahead of print date: 23 April 2025
Additional Information:
Publisher Copyright:
© 2025 IEEE.
Keywords:
Distribution networks, dynamic voltage support, PV penetration, Volt/Var control
Identifiers
Local EPrints ID: 502617
URI: http://eprints.soton.ac.uk/id/eprint/502617
ISSN: 2169-3536
PURE UUID: 67b2869b-d994-479e-96c5-6543459105b4
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Date deposited: 02 Jul 2025 12:48
Last modified: 22 Aug 2025 02:47
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Contributors
Author:
David S. Pacheco-Cherrez
Author:
Jonathan C. Mayo-Maldonado
Author:
Gerardo Escobar
Author:
Daniel Guillen
Author:
Jesus Daniel Davalos Soto
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