An AVC Optimization Strategy Based on Improved Deep Reinforcement Learning

An AVC optimization strategy based on improved deep reinforcement learning is proposed to address the problem of traditional voltage control methods being unable to meet the voltage regulation requirements of new power systems. Firstly, an AVC optimization model is constructed with the objectives of...

Full description

Bibliographic Details

Published in:	China International Conference on Electricity Distribution pp. 852 - 857
Main Authors:	Li, Zhiling, Wang, Youcheng, Zhao, Qin, Duan, Ru, Lu, Xiaoxia
Format:	Conference Proceeding
Language:	English
Published:	IEEE 12.09.2024
Subjects:	Automatic voltage control AVC optimization model Capacitors Convergence Deep reinforcement learning Delays double deep Q-network Heuristic algorithms improved deep reinforcement learning improved twin delay deep deterministic policy gradient Optimization Optimization models Power system reliability Power system stability voltage deviation
ISSN:	2161-749X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!