Study on the influence of distributed photovoltaic on line loss in distribution network

Line loss, a key indicator of power system operation, significantly impacts the efficiency and economy of power transmission, reflecting the health of the grid. As the power system expands and distributed photovoltaic (PV) applications grow, understanding the impact of PV access on line loss becomes critical. This paper investigates line loss calculation methods following PV integration into the distribution network, highlighting the research background and significance. It models and analyzes line loss calculations post-PV connection and utilizes Matpower simulations to assess the actual impact of PV on line loss in low and medium voltage distribution networks. The study identifies correlations between line loss and factors like PV access capacity, location, and power factor, laying the groundwork for future research.

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Publication Details

Published
2025-05-07
DOI
https://doi.org/10.1117/12.3060751
Primary Topic
Power Systems and Technologies
Type
article
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article

Study on the influence of distributed photovoltaic on line loss in distribution network

Zhiqiang Wang, Chengyuan Li, Zhenhua Peng
Power Systems and Technologies
article

Study on the influence of distributed photovoltaic on line loss in distribution network

Zhiqiang Wang, Chengyuan Li, Zhenhua Peng
article en

Abstract

Line loss, a key indicator of power system operation, significantly impacts the efficiency and economy of power transmission, reflecting the health of the grid. As the power system expands and distributed photovoltaic (PV) applications grow, understanding the impact of PV access on line loss becomes critical. This paper investigates line loss calculation methods following PV integration into the distribution network, highlighting the research background and significance. It models and analyzes line loss calculations post-PV connection and utilizes Matpower simulations to assess the actual impact of PV on line loss in low and medium voltage distribution networks. The study identifies correlations between line loss and factors like PV access capacity, location, and power factor, laying the groundwork for future research.

North China Electric Power University (CN), China University of Mining and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 92%
Power Systems and Technologies
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