Intelligent Grid Support with VPPs: A Scalable  Solution for PMGD Integration Challenges

Córdova, Felisa; Yanine, Fernando; de Saint Pierre, Thierry; Rother, Hans; Aly, Mokhtar

Intelligent Grid Support with VPPs: A Scalable Solution for PMGD Integration Challenges

dc.contributor.author	Córdova, Felisa
dc.contributor.author	Yanine, Fernando
dc.contributor.author	de Saint Pierre, Thierry
dc.contributor.author	Rother, Hans
dc.contributor.author	Aly, Mokhtar
dc.coverage.spatial	United States
dc.date.accessioned	2026-04-22T15:03:56Z
dc.date.available	2026-04-22T15:03:56Z
dc.date.issued	2026-04-20
dc.description.abstract	Power quality issues and blackouts in electric distribution systems, such as the recent outage affecting Spain and parts of Portugal, are increasingly linked to grid imbalances caused by the growing penetration of Distributed Generation (DG), particularly medium-sized photovoltaic plants (PMGD). These systems inject all their power into the grid, often causing disturbances in the grid's power supply. They also require constant coordination with nonrenewable backup plants, leading to instability in frequency and voltage. To address these challenges, Virtual Power Plants (VPPs) offer a scalable and rapidly deployable solution, integrating large-scale energy storage, advanced diagnostics, and real-time control to provide ancillary services, stabilize supply, and reduce the burden on traditional infrastructure. There is also a need to rapidly diagnose the grid's disturbances and readily intervene to remediate the condition. In this paper, the need for VPP in renewable energy-rich power grids is discussed. A solution termed SiVUr is introduced, which helps diagnose and then intervene the grid with VPP, employing Artificial Intelligence (AI) to optimize the VPP's effectiveness in mitigating disturbances. This solution creates dynamic interactions between DERs and loads, which is crucial for modern power grids. As PMGD integration accelerates, it becomes essential to maintain the grid's reliability, flexibility, and service quality in increasingly complex and decentralized energy environments.
dc.identifier.citation	En: Gastón Lefranc, Claudio Cubillos (eds.). 2025 IEEE Chilean Conference on electrical, electronics engineering, information and comumunication technologies (CHILECON). Valparaíso, Chile: IEEE, 2025. pp. 1-6
dc.identifier.doi	https://doi.org/10.1109/CHILECON66915.2025.11476057
dc.identifier.isbn	979-8-3503-5736-3
dc.identifier.issn	2473-2001
dc.identifier.orcid	https://orcid.org/0000-0003-1086-0840
dc.identifier.uri	https://hdl.handle.net/20.500.12254/7589
dc.language.iso	en
dc.publisher	IEEE Xplore
dc.rights	Atribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/cl/
dc.subject	Voltage multipliers
dc.subject	Capacitors
dc.subject	Circuits
dc.subject	Communications technology
dc.subject	Information and communication technology
dc.subject	Energy storage
dc.subject	Computer networks
dc.subject	Virtual Power Plant
dc.subject	PMGD
dc.title	Intelligent Grid Support with VPPs: A Scalable Solution for PMGD Integration Challenges
dc.type	Article
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