Power System Dispatch Based on Improved Scenario Division with Physical and Data-Driven Features

Power System Dispatch Based on Improved Scenario Division with Physical and Data-Driven Features

In power systems with high penetration of renewable energy, traditional physical model-based optimal dispatch methods suffer from modeling difficulties and poor adaptability, while data-driven dispatch methods, represented by reinforcement learning, have the advantage of fast decision making and ref...

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Bibliographic Details
Main Authors: Wenqi Huang, Shang Cao, Lingyu Liang, Huanming Zhang, Xiangyu Zhao, Hanju Li, Jie Ren, Liang Che
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Energies
Subjects:
power system dispatch
reinforcement learning
scenario division
data-driven
Online Access:https://www.mdpi.com/1996-1073/16/22/7520

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