Work

A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration

Year: 2021

Type: article

Source: Renewable Energy

DOI: 10.1016/j.renene.2021.06.081

Authors: Guozhou Zhang, Weihao Hu, Di Cao, Qi Huang, Zhe Chen, Frede Blaabjerg

Institutions: University of Electronic Science and Technology of China, Aalborg University

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

Funder: National Key Research and Development Program of China

Award: G2135817346

OpenAlex ID: W3174613307

FWCI: 2.521

Cites: 32

Cited by: 41

Related to: 10