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DC grid load flow solution incorporating generic DC/DC converter topologies
Date
2023-10-01
Author
Javid, Zahid
Karaağaç, Ulaş
Kocar, Ilhan
Xue, Tao
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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This research proposes a load flow (LF) solver with DC/DC converter models for DC distribution. The solver is based on modified-augmented-nodal-analysis (MANA) formulation and is implemented with the Newton-Raphson (NR) algorithm. The conditions to guarantee the convergence range of the MANA are demonstrated with Kantorovich's theorem. The proposed formulation is generic and flexible, allowing it to accommodate any arbitrary DC grid configuration. In addition, the formulation is extendable due to MANA's modular structure, which enables the incorporation of any device without changing the prior formulation. Instead of bus power injections, the summation of line flows and their associated derivatives are used when considering connections with various kinds of buses equipped with various converters. The proposed method is implemented in MATLAB and tested on the modified IEEE 33 bus distribution test feeder. Electromagnetic Transient (EMT) simulations confirmed the accuracy of the proposed method. Moreover, the results are also compared with the recently proposed efficient Laplacian Matrix (eLM) based method. Results suggest that the proposed method is robust and offers superior convergence characteristics with a faster simulation speed. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).
URI
https://hdl.handle.net/11511/114721
Journal
ENERGY REPORTS
DOI
https://doi.org/10.1016/j.egyr.2023.05.164
Collections
Department of Electrical and Electronics Engineering, Article
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IEEE
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BibTeX
Z. Javid, U. Karaağaç, I. Kocar, and T. Xue, “DC grid load flow solution incorporating generic DC/DC converter topologies,”
ENERGY REPORTS
, vol. 9, pp. 951–961, 2023, Accessed: 00, 2025. [Online]. Available: https://hdl.handle.net/11511/114721.