Título Grid-forming Power Converter controller with Artificial Intelligence to Attenuate Inter-Area Modes
Autores BALTAS, NICHOLAS-GREGORY, LAI, NGOC BAO, Marini L. , Tarasso A. , RODRÍGUEZ CORTÉS, PEDRO
Publicación externa No
Medio 2020 Ieee 21st Workshop On Control And Modeling For Power Electronics, Compel 2020
Alcance Capítulo de un Libro
Naturaleza Científica
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098578171&doi=10.1109%2fCOMPEL49091.2020.9265664&partnerID=40&md5=52d8a3d4d38678ff07a651d5dce25244
Fecha de publicacion 01/01/2020
Scopus Id 2-s2.0-85098578171
DOI 10.1109/COMPEL49091.2020.9265664
Abstract Renewable energy and battery energy storage systems are affecting the dynamics of power systems mainly due to the interconnection through power electronics with the electric grid. Specifically,the low inertia characterizing these systems impact\'s the overall rotor angle stability of the power electronics dominated power systems. Hitherto, power system stabilizers are the common approach to mitigate electromechanical oscillations, which their parameters are tuned rarely resulting to sub-optimal performance against the changing conditions. In this paper, intelligent power oscillation damper (iPOD) is proposed for grid-forming power converters to attenuate sub-synchronous oscillations. The iPOD is tuned to the inter-area modes in real-time through an ensemble Al model based on Decision Trees called Random Forests. The proposed control scheme is verified using the two area system considering symmetrical faults as well as network variations. In addition, the damping capabilities of the proposed scheme are compared with the damping of the power system stabilizer installed in each generator. © 2020 IEEE.
Palabras clave Circuit oscillations; Damping; Electric power system control; Electric power transmission networks; Power converters; Power electronics; Renewable energy resources; Battery energy storage systems; Converter controllers; Intelligent power; Inter-area modes; Power; Power oscillation dampers; Power System Stabilizer; Power-electronics; Renewable energies; Through power; Decision trees
Miembros de la Universidad Loyola

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