Power Optimization Control Strategy of Distribution Network with Multiple Flexible Resources in Renewable Energy Rapid Fluctuation Scenarios

Line overflow is a risk when renewable energies are heavily integrated into distribution networks. The quick fluctuations of new energy sources increase this risk even further. This paper proposes a line power optimization control strategy for distribution networks with numerous flexible resources that combine ex-ante optimization and real-time control. Firstly the distribution network optimization model is built to find the flexible resources' output power at the most cost-effective level while ensuring that the lines stay within the limit. The resource output is then dynamically corrected using a real-time power control system based on resource regulation and coordination to mitigate the effects of rapid change in renewable energy; Lastly, the suggested strategy is verified on a modified IEEE 33-bus test system, showing that it effectively prevents power overflow under fluctuations in renewable energy.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/icpet66029.2025.11160478
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Power Optimization Control Strategy of Distribution Network with Multiple Flexible Resources in Renewable Energy Rapid Fluctuation Scenarios

Kaifeng Zhang, Wanli Chen, Kun Yuan
Power Systems and Renewable Energy
article

Power Optimization Control Strategy of Distribution Network with Multiple Flexible Resources in Renewable Energy Rapid Fluctuation Scenarios

Kaifeng Zhang, Wanli Chen, Kun Yuan
article en

Abstract

Line overflow is a risk when renewable energies are heavily integrated into distribution networks. The quick fluctuations of new energy sources increase this risk even further. This paper proposes a line power optimization control strategy for distribution networks with numerous flexible resources that combine ex-ante optimization and real-time control. Firstly the distribution network optimization model is built to find the flexible resources' output power at the most cost-effective level while ensuring that the lines stay within the limit. The resource output is then dynamically corrected using a real-time power control system based on resource regulation and coordination to mitigate the effects of rapid change in renewable energy; Lastly, the suggested strategy is verified on a modified IEEE 33-bus test system, showing that it effectively prevents power overflow under fluctuations in renewable energy.

Southeast University (CN)
Openalex Percentile: Top 72%
Power Systems and Renewable Energy
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