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 sy...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10964290/ |
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| author | David S. Pacheco-Cherrez Jonathan C. Mayo-Maldonado Gerardo Escobar Daniel Guillen Jesus Daniel Davalos Soto |
| author_facet | David S. Pacheco-Cherrez Jonathan C. Mayo-Maldonado Gerardo Escobar Daniel Guillen Jesus Daniel Davalos Soto |
| author_sort | David S. Pacheco-Cherrez |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9cdc4d8519bc4cef9bf592265646bd93 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-9cdc4d8519bc4cef9bf592265646bd932025-08-20T02:24:43ZengIEEEIEEE Access2169-35362025-01-0113671366714810.1109/ACCESS.2025.356031210964290Decentralized Data-Driven Voltage Control for Clustered PV Inverters With Local Deviation PriorityDavid S. Pacheco-Cherrez0https://orcid.org/0000-0003-2697-0542Jonathan C. Mayo-Maldonado1https://orcid.org/0000-0003-2513-2395Gerardo Escobar2https://orcid.org/0000-0003-0223-2748Daniel Guillen3https://orcid.org/0000-0001-9569-9691Jesus Daniel Davalos Soto4School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, MexicoSchool of Electronics and Computer Science, University of Southampton, Southampton, U.K.School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, MexicoSchool of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, MexicoSchool of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, MexicoThis 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.https://ieeexplore.ieee.org/document/10964290/Distribution networksdynamic voltage supportPV penetrationVolt/Var control |
| spellingShingle | David S. Pacheco-Cherrez Jonathan C. Mayo-Maldonado Gerardo Escobar Daniel Guillen Jesus Daniel Davalos Soto Decentralized Data-Driven Voltage Control for Clustered PV Inverters With Local Deviation Priority IEEE Access Distribution networks dynamic voltage support PV penetration Volt/Var control |
| title | Decentralized Data-Driven Voltage Control for Clustered PV Inverters With Local Deviation Priority |
| title_full | Decentralized Data-Driven Voltage Control for Clustered PV Inverters With Local Deviation Priority |
| title_fullStr | Decentralized Data-Driven Voltage Control for Clustered PV Inverters With Local Deviation Priority |
| title_full_unstemmed | Decentralized Data-Driven Voltage Control for Clustered PV Inverters With Local Deviation Priority |
| title_short | Decentralized Data-Driven Voltage Control for Clustered PV Inverters With Local Deviation Priority |
| title_sort | decentralized data driven voltage control for clustered pv inverters with local deviation priority |
| topic | Distribution networks dynamic voltage support PV penetration Volt/Var control |
| url | https://ieeexplore.ieee.org/document/10964290/ |
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