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Lookup NU author(s): Professor Vladimir TerzijaORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2023. With the development of renewable energy sources, the scale and complexity of power systems are continuously increasing, resulting in a high requirement for the efficiency of dynamic simulation. Increasing the simulation time-step is a possible measure for the fixed time-step (FTS) method to accelerate the simulation, yet also a potential cause for deteriorating the simulation accuracy. To improve the overall power system dynamic simulation speed without jeopardizing the expected accuracy, this paper proposes a novel Uneven Internal Time-Step Adjustment method based on Trapezoidal integration of elementary transfer function blocks (ETFBs). For ETFBs with different time constants, three different integration modes are defined, including single-step integration, multiple-step integration, and static approximation. Each ETFB can select an appropriate integration mode and adjust its internal time-step, automatically expanding the size of the simulation time-step. Implementation of static approximation for ETFBs with small time constants is given. Discussion on the determination of threshold values of internal time-step is provided, which mainly affect the accuracy of the system. The proposed method is applied to the open-source Simulation Toolkit for Electrical Power Systems (STEPS). Different cases are tested to obtain the maximum simulation time-step that can maintain numerical stability and validate the efficiency and accuracy of the proposed method.
Author(s): Li C, Hang Y, Liu Y, Terzija V
Publication type: Article
Publication status: Published
Journal: International Journal of Electrical Power and Energy Systems
Year: 2024
Volume: 155
Issue: Part A
Print publication date: 01/01/2024
Online publication date: 22/09/2023
Acceptance date: 11/09/2023
Date deposited: 03/10/2023
ISSN (print): 0142-0615
ISSN (electronic): 1879-3517
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.ijepes.2023.109509
DOI: 10.1016/j.ijepes.2023.109509
Data Access Statement: Data will be made available on request.
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