Developing an Analytical Model of Frequency and Voltage Variations for Dynamic Reconfiguration
Jae-Young Park, Young-Jin Kim

TL;DR
This paper introduces a novel analytical model that accurately estimates real-time grid frequency and voltage variations caused by dynamic reconfiguration, integrating network switching effects with generator and load dynamics.
Contribution
The paper presents a new analytical approach that models discrete admittance changes and their impact on grid dynamics during reconfiguration, validated against existing models.
Findings
Model accurately predicts frequency and voltage variations.
Validation shows close agreement with MATLAB/SIMULINK simulations.
Enables real-time analysis of grid reconfiguration effects.
Abstract
This paper develops a new analytical model to estimate real-time variations in grid frequency and voltages resulting from dynamic network reconfiguration (DNR). In the proposed model, switching operations are considered as discrete variations in an admittance matrix, leading to step variations in node injection currents. The network model with discrete admittance variations is then integrated with dynamic models of synchronous generators and voltage-dependent loads, enabling analysis of the dynamic grid operations initiated by the DNR. Case studies are performed to validate the proposed model via comparison with a conventional model and a comprehensive MATLAB/SIMULINK model.
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Taxonomy
TopicsMicrogrid Control and Optimization · Optimal Power Flow Distribution · Power System Optimization and Stability
