Title : ( Optimal Configuration of Distribution Network Utilizing Dueling Deep Q Network Algorithm under Different Operating Conditions )
Authors: Amirhossein Ghaemipour , Habib Rajabi Mashhadi , Seyed Hossein Mostafavi ,
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Abstract
Distribution network reconfiguration (DNR) is one of the most popular methods that power companies use to create a reliable structure for the distribution network (DN) in critical conditions. In this research, we have used DNR to minimize power losses (PL) and voltage deviation (VD). We did this using the Dueling Deep Q Network algorithm, which is an extended version of the Q-learning (QL) algorithm combined with deep learning to create a more efficient algorithm. The proposed method was implemented on an IEEE 33-bus DN under three loading types: light, nominal, and heavy loading.
Keywords
, Optimal Configuration of Distribution network, Dueling Deep Q Network algorithm, Distribution network variable loading
@inproceedings{paperid:1103067,
author = {Ghaemipour, Amirhossein and Rajabi Mashhadi, Habib and Mostafavi, Seyed Hossein},
title = {Optimal Configuration of Distribution Network Utilizing Dueling Deep Q Network Algorithm under Different Operating Conditions},
booktitle = {2025 12th Iranian Conference on Renewable Energies and Distributed Generation (ICREDG)},
year = {2025},
location = {قم, IRAN},
keywords = {Optimal Configuration of Distribution network;
Dueling Deep Q Network algorithm; Distribution network
variable loading},
}
%0 Conference Proceedings
%T Optimal Configuration of Distribution Network Utilizing Dueling Deep Q Network Algorithm under Different Operating Conditions
%A Ghaemipour, Amirhossein
%A Rajabi Mashhadi, Habib
%A Mostafavi, Seyed Hossein
%J 2025 12th Iranian Conference on Renewable Energies and Distributed Generation (ICREDG)
%D 2025
