Optimal Multi-Microgrids Energy Management Through Information Gap Decision Theory and Tunicate Swarm Algorithm-Reference-Cited by-同舟云学术

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Optimal Multi-Microgrids Energy Management Through Information Gap Decision Theory and Tunicate Swarm Algorithm

Published:2024 Issue: Volume:12 Page:114795-114808
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rashidi Reza¹^ORCID,Hatami Alireza¹^ORCID,Moradi Mansour²^ORCID,Liang Xiaodong³^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, Bu-Ali Sina University, Hamedan, Iran

2. Department of Electrical Engineering, National University of Skills (NUS), Tehran, Iran

3. Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10636163.pdf?arnumber=10636163

Reference48 articles.

1. Power Management of Microgrids Including PHEVs Based on Maximum Employment of Renewable Energy Resources

2. Towards a transactive energy system for integration of distributed energy resources: Home energy management, distributed optimal power flow, and peer-to-peer energy trading

3. Probabilistic optimal coordinated planning of molten carbonate fuel cell-CHP and renewable energy sources in microgrids considering hydrogen storage with point estimate method

4. Fault-tolerant energy management for an industrial microgrid: A compact optimization method

5. Microgrid energy management strategies assessment through coupled thermal-electric considerations

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