A Multi-agent Deep Reinforcement Learning Based Voltage Regulation using Coordinated PV Inverters

Di Cao, Weihao Hu, Junbo Zhao, Qi Huang, Zhe Chen, Frede Blaabjerg

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

17 Downloads (Pure)

Abstrakt

This paper proposes a multi-Agent deep reinforcement learning-based approach for distribution system voltage regulation with high penetration of photovoltaics (PVs). The designed agents can learn the coordinated control strategies from historical data through the counter-Training of local policy networks and centric critic networks. The learned strategies allow us to perform online coordinated control. Comparative results with other methods show the enhanced control capability of the proposed method under various conditions.

OriginalsprogEngelsk
Artikelnummer9113746
TidsskriftI E E E Transactions on Power Electronics
Vol/bind35
Udgave nummer5
Sider (fra-til)4120-4123
Antal sider4
ISSN0885-8993
DOI
StatusE-pub ahead of print - jun. 2020

Fingeraftryk Dyk ned i forskningsemnerne om 'A Multi-agent Deep Reinforcement Learning Based Voltage Regulation using Coordinated PV Inverters'. Sammen danner de et unikt fingeraftryk.

  • Citationsformater