Dynamic Multi-Objective Optimization of Grid-Connected Distributed Resources Along With Battery Energy Storage Management via Improved Bidirectional Coevolutionary Algorithm-Reference-Cited by-同舟云学术

Dynamic Multi-Objective Optimization of Grid-Connected Distributed Resources Along With Battery Energy Storage Management via Improved Bidirectional Coevolutionary Algorithm

Published:2024 Issue: Volume:12 Page:58972-58992
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ali Asif¹^ORCID,Liu Zhizhen¹^ORCID,Ali Aamir²^ORCID,Abbas Ghulam³^ORCID,Touti Ezzeddine⁴^ORCID,Nureldeen Waleed⁵^ORCID

Affiliation:

1. School of Electrical Engineering, Shandong University, Jinan, China

2. Department of Electrical Engineering, Quaid-e-Awam University of Engineering Science and Technology, Nawabshah, Sindh, Pakistan

3. School of Electrical Engineering, Southeast University, Nanjing, China

4. Department of Electrical Engineering, College of Engineering, Northern Border University, Arar, Saudi Arabia

5. Department of General Subjects, College of Engineering, University of Business and Technology, Jeddah, Saudi Arabia

Funder

Deanship of Scientific Research at Northern Border University, Arar, Saudia Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10507845.pdf?arnumber=10507845

Reference72 articles.

1. IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems

2. Optimal network reconfiguration and renewable DG integration considering time sequence variation in load and DGs

3. Network reconfiguration in distribution systems for loss reduction and load balancing

4. Fast Optimal Network Reconfiguration With Guided Initialization Based on a Simplified Network Approach

5. Search for a minimal-loss operating spanning tree configuration in an urban power distribution system;Merlin

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