Research on Power Grid Optimization Partition Based on Improved MOPSO Algorithm-Reference-Cited by-同舟云学术

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Research on Power Grid Optimization Partition Based on Improved MOPSO Algorithm

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

Lu Zijing¹,Li Zishou¹,Tang Jun²,Chen Hongkun²

Affiliation:

1. State Grid Hubei Electric Power Co.Ltd State Grid Corporation of China,Hubei,China

2. Wuhan University,School of Electrical Engineering and Automation,Hubei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10367197/10367198/10367542.pdf?arnumber=10367542

Reference18 articles.

1. Analysis on Power Network Structure of Large-scale Urban Areas and Its Inspiration to Chongqing Power Network;Wendong

2. UPFC System Control Strategy Research in Nanjing Western Power Grid;Wanchun;Power System Technology,2016

3. Optimization and Decision for Opening Electromagnetic Loop Circuits in Ultra-high Voltage Grid;Dong;High Voltage Engineering,2015

4. A Method of Electromagnetic Loop Network Partition and Schemes Assessment Based on Improved GN Split Algorithm;Xueneng

5. Power-supplying block partition based on improved K-means clustering algorithm;Jun;Electric Power Automation Equipment,2015

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