Distribution Network Reconfiguration Based on Hybrid Particle Swarm Optimization and Grey Wolf Optimization-Reference-Cited by-同舟云学术

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Distribution Network Reconfiguration Based on Hybrid Particle Swarm Optimization and Grey Wolf Optimization

Published:2023-12-15 Issue: Volume: Page:718-723
ISSN:
Container-title:2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
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Author:

Su Yun¹,Zhu Qi²,Tian Yingjie¹,Dai Renjie³,Lv Zheng²,Zhang Mengyuan¹

Affiliation:

1. Electric power Research Institute, State Grid Shanghai Electric Power Company,Shanghai,China

2. Pudong power supply Company, State Grid Shanghai Electric Power Company,Shanghai,China

3. Songjiang power supply Company, State Grid Shanghai Electric Power Company,Shanghai,China

Funder

National Key Research and Development Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511272/10512350/10512561.pdf?arnumber=10512561

Reference10 articles.

1. Maximizing Available Delivery Capability of Unbalanced Distribution Networks for High Penetration of Distributed Generators

2. Simultaneous Reconfiguration, Optimal Placement of DSTATCOM, and Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach

3. Distribution Network Reconfiguration for Loss Reduction and Voltage Stability With Random Fuzzy Uncertainties of Renewable Energy Generation and Load

4. Comprehensive Cost Minimization in Distribution Networks Using Segmented-Time Feeder Reconfiguration and Reactive Power Control of Distributed Generators

5. Reconfiguration of Active Distribution Networks Equipped with Soft Open Points Considering Protection Constraints

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