Gabriel E. Mejia Ruiz

Power Oscillation Damping Controller Powered by Data-Assisted Dominant Modal Decomposition

Mario R. Arrieta Paternina, Gilberto Lopez Rios, P. Moreno, Alejandro Zamora‐Mendez et autres

This paper focuses on deriving power-system linear models directly from collected PMU data with the aim of feeding a wide-area damping controller (WADC) architecture. To this end, a data-assisted dominant modal realization in state space is derived from frequency-response data, impulse-response data, …

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Multi-agent hierarchical consensus framework for frequency and voltage regulation with cooperative battery storage units

Gabriel E. Mejia Ruiz, Vipin Chandra Pandey, Martha Lucía Orozco-Gutiérrez

High penetration of renewable resources reduces inertia and short-circuit strength in transmission networks. This loss of electromechanical stiffness directly compromises the ability of the system to withstand power imbalances. This paper proposes a hierarchical multi-agent control framework to coordinate distributed battery energy …

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A Reproducible Benchmark for Load, Solar, and Wind Forecasting: Target-Dependent Accuracy, Robustness, and Cost Trade-offs

Gabriel E. Mejia Ruiz, Esteban Rosero, Ganesh Marasini

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Machine Learning for Power Systems: A Critical Review Bridging the Interpretability and Performance Gap

Gabriel E. Mejia Ruiz, Esteban Rosero, Alejandro Zamora‐Mendez

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ATP-EMTP-Based Energy Storage System Model for High-Performance Transient Simulation in Power Grids

Luis Ramón Merchan‐Villalba, Miguel Ángel Gómez-Martínez, Reynaldo Dominguez-Navarrete, M.R.A. Paternina et autres

This paper introduces the development of detailed and average models for a battery-based energy storage system (ESS) tailored for electromagnetic transient (EMT) studies using ATP-EMTP. The models, designed with TACS and MODEL elements, include a non-isolated bidirectional DC-DC boost converter and a …

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Multiple ancillary services provision by optimal control of aggregated inverter-based resources

Gabriel E. Mejia Ruiz, Mario R. Arrieta Paternina, Zhihua Qu, Shehab Ahmed et autres

This paper proposes a hierarchical optimal control scheme for the simultaneous provision of multiple ancillary services, integrating inverter-based resources (IBRs) to support frequency, voltage, and inertia in transmission networks. The proposed framework harnesses the untapped power injection capacity of multiple IBRs to …

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Real-time inertia estimation via ARMAX model representation and synchrophasor measurements

Alexander Sanchez-Ocampo, Mario R. Arrieta Paternina, José Manuel Ramos Guerrero, Gabriel E. Mejia Ruiz et autres

This paper introduces the real-time implementation with the actual hardware architecture environment (HAE) of an online estimation method that tracks the equivalent time-varying inertia in power systems. The proposed method enables automated and accurate inertia estimation, exploiting the ARMAX model representation and …

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Multiple Ancillary Services Provision by Optimal Control of Aggregated Inverter-Based Resources

Gabriel E. Mejia Ruiz, Mario R. Arrieta Paternina, Zhihua Qu, Shehab Ahmed et autres

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Multi-Agent Hierarchical Consensus Framework for Frequency and Voltage Regulation with Cooperative Battery Storage Units

Gabriel E. Mejia Ruiz, Martha Lucía Orozco-Gutiérrez

Accurate design, simulation and implementation of AC/DC inductors for power electronic converters

Elean Jim Martínez‐Salgado, Gabriel E. Mejia Ruiz, José Manuel Ramos‐Guerrero, Mario R. Arrieta Paternina et autres

Abstract This article proposes a holistic and improved methodology for the inductors' design in power electronic circuits operating at high frequencies. This methodology includes an analytical design, a finite element modeling of the electromagnetic behavior with JMAG software, a simulation analysis in …

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Virtual Inertia Provision Through the Super-twisting Algorithm

Amaranta Alfaro-Bernardino, Juan G. Rueda-Escobedo, Mario R. Arrieta Paternina, Gabriel E. Mejia Ruiz

This paper presents a super twisting-based synchronous reference frame phase-locked-loop controller for distributed battery energy storage systems in power grids with a high penetration of renewable energies. The proposed method improves the frequency stability of the power networks in the presence of …

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Fast Taylor-Fourier Transform for Monitoring Modern Power Grids With Real-Time Dynamic Harmonic Estimation

José Antonio de la O Serna, Alejandro Zamora‐Mendez, Gabriel E. Mejia Ruiz, Mario R. Arrieta Paternina et autres

This paper proposes the FTFT for the real-time monitoring of modern power grids through dynamic harmonic estimations. The FTFT results from the DTTFT implemented with the FFT, instead of its filter bank implementation. In FTFT, the harmonic Taylor-Fourier coefficients are obtained in …

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