Interpretable data‐driven contingency classification for real‐time corrective security‐constrained economic dispatch

Interpretable data‐driven contingency classification for real‐time corrective security‐constrained economic dispatch

Abstract High penetrations of renewable energy are crucial for low‐carbon power systems. However, the higher volatility of renewable power generation pushes real‐time operations closer to equipment limits. It is thus important to utilize flexibilities in the system through corrective security‐constr...

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Bibliographic Details
Main Authors: Yaowen Yu, Yijie Gao, Yuanzheng Li, Ying Yan
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:IET Renewable Power Generation
Subjects:
artificial intelligence
decision trees
power generation dispatch
power system security
renewable energy sources
Online Access:https://doi.org/10.1049/rpg2.12830

Internet

https://doi.org/10.1049/rpg2.12830

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