Examinando por Autor "Córdova, Felisa"

Mostrando 1 - 2 de 2
  • Miniatura
    Ítem
    Automatons immersed in ocean currents for transformation of biomass into fuel
    (Springer, 2021) Cañete, Lucio; Córdova, Felisa; Perez de Arce, Andrés
    When observing the Chilean sea from both biotic and mechanical perspective, oceanographers note that the Humboldt Current carries abundant biomass and that the movement of the water itself has the capacity to do work. Taking advantage of these two qualities of the ocean current, this article exposes the sketch of an automated device, the computational simulation when it was conceived and its mathematical model to make efficient the capture of biomass that will be processed, stored and dispatched as biodiesel. Said submerged automaton has a structural configuration that was outlined by cybernetic design resulting in a body that carries out the transformation process by itself, which starts on the side that faces the current with its content of biomass. This raw material is trapped thanks to an intelligent system that informs the reactor about the relative importance of the state variables that its body can control, stimulating those swimming organisms to move in the desired direction. The captured biomass begins its process until it becomes biodiesel by virtue of the mechanical energy provided by the same flow of seawater that affects the reactor. The rear part of the reactor releases both incident water and by-products into the sea without harmful environmental consequences. Some users of this new type of device are armies in time of conflict and merchant marines during algae bloom.
  • Miniatura
    Ítem
    Intelligent Grid Support with VPPs: A Scalable Solution for PMGD Integration Challenges
    (IEEE Xplore, 2026-04-20) Córdova, Felisa; Yanine, Fernando; de Saint Pierre, Thierry; Rother, Hans; Aly, Mokhtar
    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.