Jiles‐Atherton‐Based Core Loss Modeling for Transformers under Reverse Power Flow from Distributed <scp>PV</scp> Systems

Abstract In response to the problem that the power flow reverse caused by large‐scale distributed photovoltaic(PV) grid connection leads to the voltage increase of the distribution network, which in turn significantly affects the accuracy of transformer core loss calculation, this paper reveals the mechanism of power flow reverse causing the voltage increase on the secondary side of the transformer, and points out the serious failure of the traditional core loss model under this working condition. To solve this problem, an core loss correction model based on Jiles‐Atherton (J‐A) hysteresis theory was proposed innovatively. This model quantifies the nonlinear magnetization process of the core in the voltage rise and approaching saturation through the J‐A equation, and decomposes the dynamic core loss into hysteresis loss, eddy current loss and residual loss. The model was verified by using Maxwell‐Simplorer field‐circuit collaborative simulation and a small capacity transformer experimental platform. The model provides a reliable theoretical basis and technical support for the accurate evaluation of transformer losses, the optimization of power grid economic operation, and the formulation of network loss allocation strategies when a high proportion of new energy is connected to the power grid. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

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Publication Details

Journal
IEEJ Transactions on Electrical and Electronic Engineering
Published
2025-10-09
DOI
https://doi.org/10.1002/tee.70175
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
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article

Jiles‐Atherton‐Based Core Loss Modeling for Transformers under Reverse Power Flow from Distributed PV Systems

Qinyu Chen, Zhijian Jin, Nianwen Xiang, Zhiwei Chen et al.
IEEJ Transactions on Electrical and Electronic Engineering
Optimal Power Flow Distribution
article

Jiles‐Atherton‐Based Core Loss Modeling for Transformers under Reverse Power Flow from Distributed PV Systems

Qinyu Chen, Zhijian Jin, Nianwen Xiang, Zhiwei Chen, Xiangdong Yu, Jie Wu
article en

Abstract

Abstract In response to the problem that the power flow reverse caused by large‐scale distributed photovoltaic(PV) grid connection leads to the voltage increase of the distribution network, which in turn significantly affects the accuracy of transformer core loss calculation, this paper reveals the mechanism of power flow reverse causing the voltage increase on the secondary side of the transformer, and points out the serious failure of the traditional core loss model under this working condition. To solve this problem, an core loss correction model based on Jiles‐Atherton (J‐A) hysteresis theory was proposed innovatively. This model quantifies the nonlinear magnetization process of the core in the voltage rise and approaching saturation through the J‐A equation, and decomposes the dynamic core loss into hysteresis loss, eddy current loss and residual loss. The model was verified by using Maxwell‐Simplorer field‐circuit collaborative simulation and a small capacity transformer experimental platform. The model provides a reliable theoretical basis and technical support for the accurate evaluation of transformer losses, the optimization of power grid economic operation, and the formulation of network loss allocation strategies when a high proportion of new energy is connected to the power grid. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

IEEJ Transactions on Electrical and Electronic Engineering
Electric Power Research Institute (US), Hefei University of Technology (CN), State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 72%
Optimal Power Flow Distribution
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