Layered management and hybrid control strategy based on hybrid automata and random forest for microgrid-Reference-Cited by-同舟云学术

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Layered management and hybrid control strategy based on hybrid automata and random forest for microgrid

Published:2019-11-21 Issue:16 Volume:13 Page:3113-3123
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Generation

Author:

Dou Chunxia¹²,Teng Shengqi¹,Zhang Tengfei³,Zhang Bo¹,Ma Kai¹

Affiliation:

1. Institute of Electrical EngineeringYanshan UniversityQinhuangdaoPeople's Republic of China

2. Institute of Advanced TechnologyNanjing University of Posts and TelecommunicationsNanjing210023People's Republic of China

3. College of AutomationNanjing University of Posts and TelecommunicationsNanjing210023People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2019.0664

Reference26 articles.

1. Analysis and design of a sustainable microgrid primarily powered by renewable energy sources with dynamic performance improvement

2. Secondary switched control with no communications for islanded microgrids;Rey J.M.;IEEE Trans. Ind. Electron.,2017

3. Battery‐supercapacitor hybrid energy storage system in standalone DC microgrids: areview

4. MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

5. Coordination of energy storage systems and DR resources for optimal scheduling of microgrids under uncertainties

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