Load Risk Assessment Method for Flexible Transmission Line Based on SOP Optimization

Flexible transmission technology has significant advantages in new energy grid connection, long-distance, large-capacity transmission, and power supply to passive networks. In this paper, a load risk assessment method for flexible transmission lines based on SOP is proposed, with the objective of minimizing the total risk of the system, and establishing a risk assessment model that takes into account the optimization of SOP parameters, uncertainty, reliability and economy of the flexible line. Particle swarm optimization algorithm is used to solve the model. The results are used to configure the SOP and perform risk assessment of the FDN at this point to improve the accuracy and efficiency of load risk assessment. Validation and analysis is carried out with IEEE 33-node network. This research can provide crucial decision support for power system operation and management.

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Published
2024-09-20
DOI
https://doi.org/10.1109/icpre62586.2024.10768333
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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Load Risk Assessment Method for Flexible Transmission Line Based on SOP Optimization

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Load Risk Assessment Method for Flexible Transmission Line Based on SOP Optimization

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article en

Abstract

Flexible transmission technology has significant advantages in new energy grid connection, long-distance, large-capacity transmission, and power supply to passive networks. In this paper, a load risk assessment method for flexible transmission lines based on SOP is proposed, with the objective of minimizing the total risk of the system, and establishing a risk assessment model that takes into account the optimization of SOP parameters, uncertainty, reliability and economy of the flexible line. Particle swarm optimization algorithm is used to solve the model. The results are used to configure the SOP and perform risk assessment of the FDN at this point to improve the accuracy and efficiency of load risk assessment. Validation and analysis is carried out with IEEE 33-node network. This research can provide crucial decision support for power system operation and management.

China Southern Power Grid (China) (CN)
China Southern Power Grid
Openalex Percentile: Top 77%
Power Systems and Technologies
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