Consumer-Branch Connectivity Identification of Low Voltage Distribution Networks Based on Data-Driven Approach-Reference-Cited by-同舟云学术

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Consumer-Branch Connectivity Identification of Low Voltage Distribution Networks Based on Data-Driven Approach

Published:2024-07 Issue:4 Volume:9 Page:69-82
ISSN:2367-2617
Container-title:Protection and Control of Modern Power Systems
language:
Short-container-title:Prot. Control Mod. Power Syst.

Author:

Zhang Yongjun¹,Yi Yingqi²,Deng Wenyang¹,Liu Siliang¹,Zhou Lai³,Lin Kaidong¹,Cai Yongzhi⁴

Affiliation:

1. School of Electric Power Engineering, South China University of Technology,Guangdong Key Laboratory of Clean Energy Technology,Guangzhou,China,510641

2. School of Electric Power Engineering, South China University of Technology,Guangzhou,China,510641

3. Guangzhou Panyu vocational and technical college,Guangzhou,China,511483

4. Metrology Center Guangdong Power Company Grid,Qingyuan,China,511500

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10352418/10586947/10508325.pdf?arnumber=10508325

Reference33 articles.

1. A neural network-based adaptive power-sharing strategy for hybrid frame inverters in a microgrid

2. Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings

3. Virtual impedance-based low-voltage distribution network topology identification method;Yin;Power System Protection and Control,2024

4. Subsegment data validation;Irving,1982

5. Reactive power optimization of a distribution network with high-penetration of wind and solar renewable energy and electric vehicles

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