Work

Multi-Agent Deep Reinforcement Learning for Energy Storage Stations Scheduling in Renewable-Integrated Power Distribution Systems

Year: 2025

Type: conference-paper

Source: Asia Conference on Power and Electrical Engineering (ACPEE)

DOI: 10.1109/acpee64358.2025.11041031

Authors: Cihang Wei, Tong Qian, Yunlin Huang, Xiuzhuang Liang, Qiuyv Lu, Wenhu Tang

Institutions: South China University of Technology, Guangdong Power Grid Company (China), China Southern Power Grid (China)

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure

Open Access status: closed

Funder: Special Project for Research and Development in Key areas of Guangdong Province

Award: G4922561257

OpenAlex ID: W4411727104

FWCI:

Cites: 8

Cited by:

Related to: 10