Research on Optimization Methods for Power System Slice Sensitivity Calculation and Presentation

With the large amount of renewable energy access, the dynamic characteristics and operation mode of the power system have changed, and more advanced section sensitivity analysis is needed to ensure the stable operation of the system. The optimization calculation method can help the system adapt to the volatility and uncertainty of renewable energy. In view of this, this paper studies the optimization method of section sensitivity calculation and display for the change of dynamic characteristics and operation mode of power system under the background of large-scale access of renewable energy. By analyzing the application of DC power flow method, Jacobian matrix method and particle swarm optimization (PSO) algorithm in section sensitivity calculation, the performance of different algorithms in IEEE-10 node system is compared. The results show that PSO algorithm has advantages in reducing network loss and improving computing efficiency, and provides strong support for efficient and stable operation of power system.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/aidlnn65358.2024.00022
Citations
1
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.21
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Research on Optimization Methods for Power System Slice Sensitivity Calculation and Presentation

Yinsheng Su, Ligang Zhao, Bao Li, Zhou Xin et al.
1 citations
Power Systems and Technologies
0.21
article

Research on Optimization Methods for Power System Slice Sensitivity Calculation and Presentation

Yinsheng Su, Ligang Zhao, Bao Li, Zhou Xin, Zhen Hongyue, Zhai Hefeng
article en
1 citations

Abstract

With the large amount of renewable energy access, the dynamic characteristics and operation mode of the power system have changed, and more advanced section sensitivity analysis is needed to ensure the stable operation of the system. The optimization calculation method can help the system adapt to the volatility and uncertainty of renewable energy. In view of this, this paper studies the optimization method of section sensitivity calculation and display for the change of dynamic characteristics and operation mode of power system under the background of large-scale access of renewable energy. By analyzing the application of DC power flow method, Jacobian matrix method and particle swarm optimization (PSO) algorithm in section sensitivity calculation, the performance of different algorithms in IEEE-10 node system is compared. The results show that PSO algorithm has advantages in reducing network loss and improving computing efficiency, and provides strong support for efficient and stable operation of power system.

China Southern Power Grid (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 44%
Power Systems and Technologies
0.21
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