Reinforcement learning for active distribution network planning based on Monte Carlo tree search-Reference-Cited by-同舟云学术

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Reinforcement learning for active distribution network planning based on Monte Carlo tree search

Published:2022-06 Issue: Volume:138 Page:107885
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Zhang Xi,Hua Weiqi,Liu Youbo,Duan Jiajun,Tang Zhiyuan,Liu Junyong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference32 articles.

1. A new parallel and decomposition approach to solve the medium- and low-voltage planning of large-scale power distribution systems;Rupolo;Int J Electr Power Energy Syst,2021

2. Optimal planning of distributed energy storage systems in active distribution networks embedding grid reconfiguration;Nick;IEEE Trans Power Syst,2018

3. Stochastic expansion planning of battery energy storage for the interconnected distribution and data networks;Alobaidi;Int J Electr Power Energy Syst,2021

4. Enhancing photovoltaic hosting capacity-A stochastic approach to optimal planning of static var compensator devices in distribution networks;Xu;Appl Energy,2019

5. A new Optimal reactive power planning based on Differential Search Algorithm;Amrane;Int J Electr Power Energy Syst,2015

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