Optimal Operation of Large-scale Electric Vehicles Based on Improved K-means Clustering Algorithm-Reference-Cited by-同舟云学术

Optimal Operation of Large-scale Electric Vehicles Based on Improved K-means Clustering Algorithm

Published:2022-06-17 Issue: Volume: Page:
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Container-title:2022 the 5th International Conference on Robot Systems and Applications (ICRSA)
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Author:

Liu Jian¹,Xu Weifeng¹,Liu Zhijun¹,Fu Guanhua¹,Jiang Yunpeng¹,Zhao Ergang²

Affiliation:

1. Hangzhou Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd., China

2. Wuxi Research Institute of Applied Technologies Tsinghua University, China

Publisher

ACM

Link

Reference16 articles.

1. Electric vehicle charging and discharging strategy based on two-level optimization;Yao W.;Power System Automation,2012

2. Multi-objective optimal scheduling of electric vehicle charging and discharging based on time-sharing tariff;Wei D.;Power Grid Technology,2014

3. Multi-objective optimal charging strategy for electric vehicles based on time-sharing tariff;Tong J.;Power System Protection and Control,2016

4. Distributed robust optimal scheduling model for grid-connected electric vehicle clusters;Xu G;Journal of Electrical Engineering Technology,2021

5. An optimal scheduling method for grid-accessible hybrid electric vehicles based on SCUC;Cai Q;Power System Automation,2012

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2. Clustering Based Method anomaly definition in Electric Vehicles charging curves;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06