#2828. Optimal dispatch of PV inverters in unbalanced distribution systems using Reinforcement Learning

November 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript3000 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Economics and Econometrics;
Modeling and Simulation;
Energy (all);
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
900 $800 $700 $600 $
Contract №2828.1 Contract №2828.2 Contract №2828.3 Contract №2828.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
The paper presents a reinforcement learning (RL) approach for optimal scheduling of photovoltaic inverters in unbalanced distribution systems. The proposed approach uses a decentralized architecture in which photovoltaic inverters are controlled by agents that perform all computing processes locally; when communicating with the central agent, to ensure that the magnitude of the voltage in the distribution system is regulated.
Keywords:
Distribution systems; Optimal dispatch; PV systems; Reinforcement Learning; Voltage regulation

Contacts :
0