A Method of Interval Reactive Power Planning for Distribution Grid Considering the Uncertainty of Wind Power

To address the safety hazards brought by renewable energy integration, this paper proposes a scenario optimization-based interval power flow calculation and reactive power planning method. Firstly, an interval power flow model based on Distflow is developed to handle uncertainties in renewable energy output and load fluctuations, and its effectiveness in mitigating voltage violations and power flow changes is validated on an modified IEEE 33-bus system. Then, the reactive power planning is divided into determining the locations of reactive power compensation devices and optimizing their capacities by establishing a comprehensive cost minimization model. Finally, simulation results demonstrate that this method effectively reduces network losses and ensures system stability.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/aaiee64965.2025.11101075
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

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article

A Method of Interval Reactive Power Planning for Distribution Grid Considering the Uncertainty of Wind Power

Fei Yang, Cong Zhang, Qi Liu
Power Systems and Renewable Energy
article

A Method of Interval Reactive Power Planning for Distribution Grid Considering the Uncertainty of Wind Power

Fei Yang, Cong Zhang, Qi Liu
article en

Abstract

To address the safety hazards brought by renewable energy integration, this paper proposes a scenario optimization-based interval power flow calculation and reactive power planning method. Firstly, an interval power flow model based on Distflow is developed to handle uncertainties in renewable energy output and load fluctuations, and its effectiveness in mitigating voltage violations and power flow changes is validated on an modified IEEE 33-bus system. Then, the reactive power planning is divided into determining the locations of reactive power compensation devices and optimizing their capacities by establishing a comprehensive cost minimization model. Finally, simulation results demonstrate that this method effectively reduces network losses and ensures system stability.

Hunan University (CN)
National Natural Science Foundation of China, National Science and Technology Major Project
Affordable and clean energy
Openalex Percentile: Top 78%
Power Systems and Renewable Energy
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