Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning-Reference-Cited by-同舟云学术

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Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning

Published:2022-01 Issue: Volume:306 Page:117982
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Cao Di,Zhao Junbo,Hu Weihao,Ding Fei,Yu Nanpeng,Huang Qi,Chen Zhe

Funder

National Key Research and Development Program of China Stem Cell and Translational Research

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference46 articles.

1. Voltage regulation challenges with unbalanced PV integration in low voltage distribution systems and the corresponding solution;Wang;Appl Energy,2019

2. Active power control to mitigate voltage and frequency deviations for the smart grid using smart PV inverters;Howlader;Appl Energy,2020

3. An effective bi-stage method for renewable energy sources integration into unbalanced distribution systems considering uncertainty;Ali;Processes,2021

4. Efficient control of active transformers for increasing the PV hosting capacity of LV grids;Hashemi;IEEE Trans Ind Informat,2017

5. Double-time-scale coordinated voltage control in active distribution networks based on MPC;Guo;IEEE Trans Sustain Energy,2019

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1. Visibility-enhanced model-free deep reinforcement learning algorithm for voltage control in realistic distribution systems using smart inverters;Applied Energy;2024-10

2. Combined central-local voltage control of inverter-based DG in active distribution networks;Applied Energy;2024-10

3. Multiagent Soft Actor–Critic Learning for Distributed ESS Enabled Robust Voltage Regulation of Active Distribution Grids;IEEE Transactions on Industrial Informatics;2024-09

4. Advancements in data-driven voltage control in active distribution networks: A Comprehensive review;Results in Engineering;2024-09

5. A two‐stage reactive power optimization method for distribution networks based on a hybrid model and data‐driven approach;IET Renewable Power Generation;2024-08-28

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