Photovoltaic power flow regulation and optimal configuration based on Hybrid Distribution Transformer

With the rapid development of distributed photovoltaic technology, its penetration in the distribution network continues to improve, which has brought new challenges and opportunities to the power system. The access of distributed photovoltaic not only changes the power flow distribution of distribution network, but also may lead to problems such as the increase of voltage deviation and network loss, which will affect the power quality and system stability. Aiming at the problems of voltage fluctuation and power flow reversal caused by photovoltaic access to distribution network, a power flow regulation and optimal configuration method based on hybrid distribution transformer (HDT) is proposed in this paper. Through theoretical analysis and simulation experiments, the influence of photovoltaic grid connection with different capacities on the voltage and network loss of IEEE 33 bus distribution system is studied, and the role of HDT in regulating voltage and reducing voltage deviation is discussed. The results show that HDT can effectively suppress the voltage rise caused by photovoltaic access, significantly reduce the voltage deviation and network loss, and its regulation effect is closely related to the access location. After optimizing the configuration of HDT, the power quality of Photovoltaic Station area has been significantly improved, which provides a feasible technical solution for high proportion of renewable energy access to the distribution network. This study provides a theoretical basis for the optimal operation of distribution network and the large-scale grid connection of distributed photovoltaic.

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Publication Details

Published
2025-08-03
DOI
https://doi.org/10.1109/iciea65512.2025.11149132
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21
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Photovoltaic power flow regulation and optimal configuration based on Hybrid Distribution Transformer

Hao Qin, Yuan Wang, Liu Chen
1 citations
Microgrid Control and Optimization
1.21
article

Photovoltaic power flow regulation and optimal configuration based on Hybrid Distribution Transformer

Hao Qin, Yuan Wang, Liu Chen
article en
1 citations

Abstract

With the rapid development of distributed photovoltaic technology, its penetration in the distribution network continues to improve, which has brought new challenges and opportunities to the power system. The access of distributed photovoltaic not only changes the power flow distribution of distribution network, but also may lead to problems such as the increase of voltage deviation and network loss, which will affect the power quality and system stability. Aiming at the problems of voltage fluctuation and power flow reversal caused by photovoltaic access to distribution network, a power flow regulation and optimal configuration method based on hybrid distribution transformer (HDT) is proposed in this paper. Through theoretical analysis and simulation experiments, the influence of photovoltaic grid connection with different capacities on the voltage and network loss of IEEE 33 bus distribution system is studied, and the role of HDT in regulating voltage and reducing voltage deviation is discussed. The results show that HDT can effectively suppress the voltage rise caused by photovoltaic access, significantly reduce the voltage deviation and network loss, and its regulation effect is closely related to the access location. After optimizing the configuration of HDT, the power quality of Photovoltaic Station area has been significantly improved, which provides a feasible technical solution for high proportion of renewable energy access to the distribution network. This study provides a theoretical basis for the optimal operation of distribution network and the large-scale grid connection of distributed photovoltaic.

Northeast Electric Power University (CN), Ningbo Science and Technology Bureau (CN)
Openalex Percentile: Top 17%
Microgrid Control and Optimization
1.21
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