Fast and explainable warm-start point learning for AC optimal power flow using decision tree

Fast and explainable warm-start point learning for AC optimal power flow using decision tree

The quality of starting point greatly influences the result and convergence efficiency of the optimization algorithm, especially for the non-convex and constrained Alternating Current Optimal Power Flow problem. Generally, speed and accuracy are the two main evaluation metrics for generating startin...

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Bibliographic Details
Main Authors: Cao, Yuji, Zhao, Huan, Liang, Gaoqi, Zhao, Junhua, Liao, Huanxin, Yang, Chao
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Warm-Start Point
Decision Tree
Online Access:https://hdl.handle.net/10356/170948

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