Reactive Power Optimization of Regional Power Grids Accounting for Load Fluctuations

In this paper, for the reactive power optimization problem of regional power grid, combined with the characteristics of load fluctuation, a reactive power optimization strategy of power grid considering load fluctuation is proposed. Through the statistical analysis and modeling of load data, the reactive power optimization model of power grid considering load fluctuation is established, and the particle swarm algorithm is used for reactive power optimization. Simulation experimental results show that the proposed optimization strategy achieves good results in reducing system reactive power losses. This study has certain guiding significance and practical application value for improving the reactive power control performance of regional power grids.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10733004
Citations
2
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.42
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Reactive Power Optimization of Regional Power Grids Accounting for Load Fluctuations

Zhengchai Shi, Y. Xiang, YiNing Zang, Hongyun Qu et al.
2 citations
Power Systems and Technologies
0.42
article

Reactive Power Optimization of Regional Power Grids Accounting for Load Fluctuations

Zhengchai Shi, Y. Xiang, YiNing Zang, Hongyun Qu, Huanhuan Lai, Datie Huang
article en
2 citations

Abstract

In this paper, for the reactive power optimization problem of regional power grid, combined with the characteristics of load fluctuation, a reactive power optimization strategy of power grid considering load fluctuation is proposed. Through the statistical analysis and modeling of load data, the reactive power optimization model of power grid considering load fluctuation is established, and the particle swarm algorithm is used for reactive power optimization. Simulation experimental results show that the proposed optimization strategy achieves good results in reducing system reactive power losses. This study has certain guiding significance and practical application value for improving the reactive power control performance of regional power grids.

Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 37%
Power Systems and Technologies
0.42
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