Browsing by Author "Criollo Rios, Adrian Rodrigo"

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Determination of the optimal size of the energy storage systems in photovoltaic systems connected to the electricity network, through mixed-integer linear programming
(IEEE Ecuador Technical Chapters Meeting (ETCM), 2018) Criollo Rios, Adrian Rodrigo; Morales Jadan, Diego Xavier; NARVAEZ BUESTAN, FREDDY EDUARDO
This research and development project presents the optimization of BESS energy storage systems (Battery Energy Storage System) in photovoltaic systems connected to the electricity grid, using mixed integer linear programming algorithms. In the development of this work, the creation of a database of both load and generation profiles was first performed, the data obtained served to propose the mathematical optimization model together with their respective restrictions. The optimization model was solved through mixed linear programming algorithms and finally the optimization algorithm developed was tested for the electrical system of Santa Cruz Island, Galapagos province, ´ where the integration of the electric grid with renewable energies is carried out as the PV generation
Enhancing Virtual Inertia Control in Microgrids: A Novel Frequency Response Model Based on Storage Systems
(2024) Minchala Ávila, Luis Ismael; Criollo Rios, Adrian Rodrigo
The integration of renewable resources in isolated systems can produce instability in the electrical grid due to its intermintency. In today’s microgrids, which lack synchronous generation, physical inertia is substituted for inertia emulation. To date, the most effective approach remains the frequency derivative control technique. Nevertheless, within this method, the ability to provide virtual drooping is often disregarded in its design, potentially leading to inadequate development in systems featuring high renewable penetration and low damping. To address this issue, this paper introduces an innovative design and analysis of virtual inertia control to simultaneously mimic droop and inertia characteristics in microgrids. The dynamic frequency response without and with renewable energy sources penetration is comparatively analyzed by simulation. The proposed virtual inertia control employs a derivative technique to measure the rate of change of frequency slope during inertia emulation. Sensitivity mapping is conducted to scrutinize its impact on dynamic frequency response. Finally, the physical battery storage system of the University of Cuenca microgrid is used as a case study under operating conditions.