Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108572
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Title: Solid-state transformer modelling in power flow calculation
Authors: Javid, Z 
Karaagac, U 
Kocar, I 
Holderbaum, W
Issue Date: Nov-2023
Source: Energy reports, Nov. 2023, v. 9, suppl. 12, p. 448-453
Abstract: This article proposes a novel Solid-State Transformer (SST) power flow (PF) model which is implemented with Modified Augmented Nodal Analysis (MANA) formulation using Newton-Raphson (NR) algorithm. Any network topology can be handled by the MANA formulation, and it can be easily and methodically expanded to include other components, like SST. Since various types of buses can have various type converters and SSTs, the sum of line flows are used instead of classical bus power injections equations. The proposed approach is coded in MATLAB and tested on an IEEE 33 bus distribution test feeder. The results are compared with Holomorphic Embedding PF method (HE-PFM) and with existing methodology in literature. In line with the findings, the proposed approach achieves accurate representation of SST, better convergence characteristics with a faster simulation speed compared to HE-PFM.
Keywords: Modified augmented nodal analysis
Newton Raphson algorithm
Power flow
Solid-state transformer
Publisher: Elsevier BV
Journal: Energy reports 
EISSN: 2352-4847
DOI: 10.1016/j.egyr.2023.12.003
Description: 2023 8th International Conference on Sustainable and Renewable Energy Engineering (ICSREE 2023) 11-13 May, Nice, France
Rights: © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
The following publication Javid, Z., Karaagac, U., Kocar, I., & Holderbaum, W. (2023). Solid-state transformer modelling in power flow calculation. Energy Reports, 9, 448-453 is available at https://doi.org/https://doi.org/10.1016/j.egyr.2023.12.003.
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