Assessment of Carrying Capacity and Optimized Operation Methods for Distributed Photovoltaic and Wind Power in Rural Distribution Networks

As clean energy gains popularity, integrating distributed photovoltaic and wind power into rural distribution networks poses challenges to their stability. This study evaluates the carrying capacity of these networks and explores operational strategy optimization to enhance their efficiency and capacity. Using mathematical modeling and simulation, the research proposes customized strategies based on real conditions to maximize clean energy use while maintaining network stability. The findings indicate that effective optimization can significantly improve the network's carrying capacity, supporting more sustainable and efficient rural power development.

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Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/ciced63421.2024.10754135
Citations
1
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.21

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article

Assessment of Carrying Capacity and Optimized Operation Methods for Distributed Photovoltaic and Wind Power in Rural Distribution Networks

Zijin Li, Yanbin He, Hongtao Li, Yiwen Liu et al.
1 citations
Power Systems and Technologies
0.21
article

Assessment of Carrying Capacity and Optimized Operation Methods for Distributed Photovoltaic and Wind Power in Rural Distribution Networks

Zijin Li, Yanbin He, Hongtao Li, Yiwen Liu, Liang Hao, Bo Wang
article en
1 citations

Abstract

As clean energy gains popularity, integrating distributed photovoltaic and wind power into rural distribution networks poses challenges to their stability. This study evaluates the carrying capacity of these networks and explores operational strategy optimization to enhance their efficiency and capacity. Using mathematical modeling and simulation, the research proposes customized strategies based on real conditions to maximize clean energy use while maintaining network stability. The findings indicate that effective optimization can significantly improve the network's carrying capacity, supporting more sustainable and efficient rural power development.

North China Electric Power University (CN), State Grid Corporation of China (China) (CN)
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 46%
Power Systems and Technologies
0.21
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Assessment of Carrying Capacity and Optimized Operation Methods for Distributed Photovoltaic and Wind Power in Rural Distribution Networks — Zijin Li, Yanbin He, et al. · (2024) | TGRS Research Map | TGRS