Primary and Secondary Collaborative Planning Method of the Multivariate-driven Distribution Network Based on Improved K-means Clustering-Reference-Cited by-同舟云学术

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Primary and Secondary Collaborative Planning Method of the Multivariate-driven Distribution Network Based on Improved K-means Clustering

Published:2023-12-29 Issue: Volume:40 Page:1557-1560
ISSN:
Container-title:2023 3rd International Conference on Electrical Engineering and Control Science (IC2ECS)
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Author:

Wu Zhenlong¹,Zhang Chengke²,Fan Xuan³,Wang Liangyi²,Bai Yu⁴

Affiliation:

1. State Grid Chongqing Shibei Electric Power Supply Branch,Chongqing,China,400000

2. State Grid Chongqing Electric Power Company,Chongqing,China,400014

3. State Grid Chongqing Economic Research Institute,Chongqing,China,401120

4. State Grid Economic and Technological Research Institute Co. Ltd,Beijing,China,100191

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10493201/10493208/10493411.pdf?arnumber=10493411

Reference11 articles.

1. Electric-gas Integrated Energy System Operational Risk Assessment Based on Improved K-means Clustering Technology and Semi-invariant Method [J];Hua

2. A Data Cleaning Method Based on Improved K-Means Clustering and Error Feedback [J];Shuai;Advances of Power System & Hydroelectric Engineering,2020

3. Spatiotemporal Clustering and Zoning Method for Evaluating Insulation Effect of Dam Based on Improved K-means Algorithm [J];Mingming;Water Resources and Power,2020

4. Service restoration method for active distribution network based on uncertain bi-level programming model [J];Tianxiang;Power System Protection and Control,2019

5. A Quadratic Constraint Quadratic Estimation Method Based on Hybrid Measurements for Distribution Networks [J];Pengcheng;Power System Technology,2019

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