2022
DOI: 10.3389/fenrg.2022.933011
|View full text |Cite
|
Sign up to set email alerts
|

Security Constrained Dispatch for Renewable Proliferated Distribution Network Based on Safe Reinforcement Learning

Abstract: As the terminal of electricity consumption, the distribution network is a vital field to lower the carbon emission of the power system. With the integration of distributed energy resources, the flexibility of the distribution network has been promoted significantly where dispatch actions can be employed to lower carbon emissions without compromising the accessibility of reliable electricity. This study proposes a security constrained dispatch policy based on safe reinforcement learning for the distribution net… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 28 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?