An Efficient Universal AC/DC Branch Model for Optimal Power Flow Studies in Hybrid AC/DC Systems

Shahbazi, Mahmoud

Abstract

This paper introduces a new efficient universal AC/DC branch model, SADRA, for modelling hybrid AC/DC systems in optimal power flow studies, with provisions of voltage and power controls. SADRA offers a versatile approach for modelling diverse AC, DC, and AC/DC elements including VSCs and VSC-interfaced elements (including point-to-point and multi terminal HVDC), phase-shifter and tap-changing transformers, and in general, hybrid AC/DC systems, all within a universal model. SADRA directly links AC and DC grids, and therefore it is able to use conventional AC equations for modelling. Moreover, it is capable of implementing VSC control actions as well. Due to its compact and simple structure, SADRA is fast and robust. To demonstrate SADRA's performance, versatility, and speed, two large AC/DC systems with 1359 bus and 3125 buses are studied and the results are compared with the existing methods in the literature. It is shown that SADRA is a truly universal model, and also successfully implements voltage and power control actions. Additionally, it is demonstrated that in addition to its advantages, SADRA is as fast or faster than the comparable methods in recent literature, and is up to more than six times faster compared to models with control actions provisions.

Citation

Shahbazi, M. (online). An Efficient Universal AC/DC Branch Model for Optimal Power Flow Studies in Hybrid AC/DC Systems. IEEE Transactions on Power Systems, https://doi.org/10.1109/tpwrs.2024.3514815

• Journal Article Type: Article
• Acceptance Date: Nov 30, 2024
• Online Publication Date: Dec 11, 2024
• Deposit Date: Dec 13, 2024
• Publicly Available Date: Dec 16, 2024
• Journal: IEEE Transactions on Power Systems
• Print ISSN: 0885-8950
• Electronic ISSN: 1558-0679
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/tpwrs.2024.3514815
• Public URL: https://durham-repository.worktribe.com/output/3217168