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Grid-forming Power Converter controller with Artificial Intelligence to Attenuate Inter-Area Modes

Authors

BALTAS, NICHOLAS-GREGORY, LAI, NGOC BAO, Marini L. , Tarasso A. , RODRÍGUEZ CORTÉS, PEDRO

External publication

No

Means

IEEE Workshop Control Model. Power Electron., COMPEL

Scope

Capítulo de un Libro

Nature

Científica

JCR Quartile

SJR Quartile

Publication date

01/01/2020

Scopus Id

2-s2.0-85098578171

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.

Keywords

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

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