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Uncovering the Kuramoto Model from Full-order Models of Grid-forming Inverter-based Power Networks

Olaoluwapo Ajala, Nathan Baeckeland, Sairaj V. Dhople, Alejandro D. Domínguez-García

20212021 60th IEEE Conference on Decision and Control (CDC)13 citationsDOI

Abstract

This paper presents parametric assumptions under which the classical Kuramoto model can be uncovered from full-order models of an interconnected group of gridforming inverters based on droop control, virtual synchronous machine control and/or dispatchable virtual oscillator control. The equivalence is established with reduced-order models that are derived by leveraging singular-perturbation analysis, timedomain Kron reduction of the network dynamics, and a particular control configuration that is based on the inductance-toresistance ratio of interconnecting transmission lines. Numerical results compare the phase and frequency response of the fullorder model and the reduced-order Kuramoto model.

Topics & Concepts

Voltage droopInductanceControl theory (sociology)Synchronization networksParametric statisticsComputer scienceKuramoto modelInverterGridEquivalence (formal languages)Model order reductionSynchronization (alternating current)Topology (electrical circuits)Power (physics)EngineeringControl (management)MathematicsPhysicsAlgorithmChannel (broadcasting)TelecommunicationsElectrical engineeringQuantum mechanicsVoltageArtificial intelligenceGeometryDiscrete mathematicsProjection (relational algebra)StatisticsVoltage dividerMicrogrid Control and OptimizationNonlinear Dynamics and Pattern FormationPower Systems and Renewable Energy
Uncovering the Kuramoto Model from Full-order Models of Grid-forming Inverter-based Power Networks | Litcius