A Deep Reinforcement Learning-Based Partitioning Method for Power System Parallel Restoration
Year: 2025
Type: article
Abstract: Effective partitioning is crucial for enabling parallel restoration of power systems after blackouts. This paper proposes a novel partitioning method based on deep reinforcement learning. First, the partitioning decision proc... | Find, read and cite all the research you need on Tech Science Press
Source: Energy Engineering
Authors: Changcheng Li, Weimeng Chang, Dahai Zhang, Jinghan He
Institution: Guangxi University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4415209603