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Power system transient stability assessment based on Powershap feature selection
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Chao CHEN1, 2, Chengbo YU1, 2, Lixin ZUO1, 2
Thermal Power Generation | 2024, 53(8) : 143 - 151
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Thermal Power Generation | 2024, 53(8): 143-151
• Application scenarios of grid-forming energy storage technology •
Power system transient stability assessment based on Powershap feature selection
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Chao CHEN1, 2, Chengbo YU1, 2, Lixin ZUO1, 2
Affiliations
  • 1.School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China
  • 2.Chongqing Energy Internet Engineering Technology Research Center, Chongqing 400054, China
Published: 2024-08-25 doi: 10.19666/j.rlfd.202402030
Outline
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To further improve the accuracy and reliability of transient stability assessment (TSA), a feature selection method (Powershap) based on the combination of statistics and Shapley values is proposed, and a power system transient stability assessment model is established. Firstly, the input feature set is constructed based on the steady-state components during the operation of the power system. Powershap is used to divide the dataset into multiple subsets for training, and key feature sets are selected. Then, multiple CatBoost models are trained using key feature sets and transient stability assessments are conduct to generate transient stability assessment models. Finally, simulation experiments are conducted on the New England 10-machine 39-node system and the New England 54-machine 118-node system with the addition of new energy generation, and evaluation results are provided. The experiments show that, in the 10-machine 39-node system in New England, using the Powershap feature selection method for classification can achieve an accuracy of 99.79%. On the improved New England 54-machine 118-node system, its accuracy can reach 99.49%, indicating that the method can effectively perform transient stability assessment of power systems. It is verified that the proposed TSA model has good robustness and generalization ability.

power system  /  transient stability assessment  /  feature selection  /  Powershap  /  CatBoost
Chao CHEN, Chengbo YU, Lixin ZUO. Power system transient stability assessment based on Powershap feature selection[J]. Thermal Power Generation, 2024 , 53 (8) : 143 -151 . DOI: 10.19666/j.rlfd.202402030
Funding
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  • Chongqing Natural Science Foundation Innovation and Development Joint Fund(2023CCZ082)
  • Research Fund of Chongqing Municipal Education Commission(2023CYJH009)
Appendix
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Year 2024 volume 53 Issue 8
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100
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Article Info
doi: 10.19666/j.rlfd.202402030
  • Receive Date：2024-02-26
  • Online Date：2026-01-07
  • Published：2024-08-25
Article Data
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History
  • Received：2024-02-26
Funding
Chongqing Natural Science Foundation Innovation and Development Joint Fund(2023CCZ082)
Research Fund of Chongqing Municipal Education Commission(2023CYJH009)
Affiliations
    1.School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China
    2.Chongqing Energy Internet Engineering Technology Research Center, Chongqing 400054, China
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