Multi-resource dynamic coordinated planning of flexible distribution network

Rui Wang, Haoran Ji, Peng Li (), Hao Yu (), Jinli Zhao, Liang Zhao, Yue Zhou, Jianzhong Wu, Linquan Bai, Jinyue Yan and Chengshan Wang
Additional contact information
Rui Wang: Tianjin University
Haoran Ji: Tianjin University
Peng Li: Tianjin University
Hao Yu: Tianjin University
Jinli Zhao: Tianjin University
Liang Zhao: State Grid Tianjin Electric Power Company
Yue Zhou: Cardiff University
Jianzhong Wu: Cardiff University
Linquan Bai: University of Tennessee
Jinyue Yan: Mälardalen University
Chengshan Wang: Tianjin University

Nature Communications, 2024, vol. 15, issue 1, 1-14

Abstract: Abstract The flexible distribution network presents a promising architecture to accommodate highly integrated distributed generators and increasing loads in an efficient and cost-effective way. The distribution network is characterised by flexible interconnections and expansions based on soft open points, which enables it to dispatch power flow over the entire system with enhanced controllability and compatibility. Herein, we propose a multi-resource dynamic coordinated planning method of flexible distribution network that allows allocation strategies to be determined over a long-term planning period. Additionally, we establish a probabilistic framework to address source-load uncertainties, which mitigates the security risks of voltage violations and line overloads. A practical distribution network is adopted for flexible upgrading based on soft open points, and its cost benefits are evaluated and compared with that of traditional planning approaches. By adjusting the acceptable violation probability in chance constraints, a trade-off between investment efficiency and operational security can be realised.

Date: 2024
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DOI: 10.1038/s41467-024-48862-5

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