Voltage Control Strategy of Distribution Networks with Distributed Photovoltaic Based on Multi-agent Deep Reinforcement Learning
Author:
Affiliation:
1. Hefei University of Technology,Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving,Hefei,China
2. State Grid Anhui Electric Power Co., LTD.,Hefei,China
3. State Grid Anhui Electric Power Research Institute,Hefei,China
Funder
Regional Innovation and Development Joint Fund of National Natural Science Foundation of China
Natural Science Foundation of Anhui Province
Fundamental Research Funds for the Central Universities of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10165685/10164836/10167339.pdf?arnumber=10167339
Reference20 articles.
1. Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems
2. Photovoltaic penetration issues and impacts in distribution network – A review
3. Structural analysis of the electrical system: application to secondary voltage control in France
4. Voltage regulation algorithms for multiphase power distribution grids;vassilis;IEEE Transactions on Power Systems,2016
5. Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs
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