Double-layer stochastic model predictive voltage control in active distribution networks with high penetration of renewables-Reference-Cited by-同舟云学术

Double-layer stochastic model predictive voltage control in active distribution networks with high penetration of renewables

Published:2021-11 Issue: Volume:302 Page:117530
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zhang Zhengfa^ORCID,da Silva Filipe Faria^ORCID,Guo Yifei^ORCID,Bak Claus Leth,Chen Zhe

Funder

China Scholarship Council

Aalborg Universitet

Publisher

Elsevier BV

Subject

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

Reference37 articles.

1. Safe deep reinforcement learning-based constrained optimal control scheme for active distribution networks;Kou;Appl Energy,2020

2. Peer-to-peer-based integrated grid voltage support function for smart photovoltaic inverters;Almasalma;Appl Energy,2019

3. Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques;Ehsan;Appl Energy,2018

4. IEEE standard for interconnection and interoperability of distributed energy resources with associated electric power systems interfaces;Photovoltaics;IEEE Std,2018

5. A local control approach to voltage regulation in distribution networks;Zhang,2013

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