Knowledge-driven Identification Method for Low Voltage Ride through Strategy of Photovoltaic Inverters-Reference-Cited by-同舟云学术

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Knowledge-driven Identification Method for Low Voltage Ride through Strategy of Photovoltaic Inverters

Published:2023-07-27 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Power and Energy Technology (ICPET)
language:
Short-container-title:

Author:

Ma Xing¹,Chen Yongtao¹,Chen Shuang²,Liu Huizi³,Wang Ying³,Hu Wenxi³

Affiliation:

1. State Grid Chongqing Electric Power Research Institute,Power Grid Technology Center,Chongqing,China

2. State Grid Chongqing Electric Power Company,Beibei Power Supply Branch,Chongqing,China

3. Sichuan University,College of Electrical Engineering,Chengdu,China

Funder

Electric Power Research Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10367197/10367198/10367458.pdf?arnumber=10367458

Reference18 articles.

1. Simulations of scenarios with 100% renewable electricity in the Australian National Electricity Market

2. Optimal energy management for industrial microgrids with high-penetration renewables

3. Benefits of Power Electronic Interfaces for Distributed Energy Systems

4. Impact of VSC Control Strategies and Incorporation of Synchronous Condensers on Distance Protection Under Unbalanced Faults

5. Analytical Calculation of Transient Current from an Inverter-Interfaced Renewable Energy

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