An efficient substation placement and sizing strategy based on GIS using semi-supervised learning

As load and renewable penetration continues to grow, optimal placement and sizing of substations is becoming increasingly important in distribution system planning. This paper presents an improved methodology to solve the substation siting and sizing problem based on geographic information and super...

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Bibliographic Details
Main Authors: Li Yu, Di Shi, Xiaobin Guo, Zhen Jiang, Guangyue Xu, Ganyang Jian, Jinyong Lei, Chaoyang Jing
Format: Article
Language:English
Published: China electric power research institute 2018-09-01
Series:CSEE Journal of Power and Energy Systems
Online Access:https://ieeexplore.ieee.org/document/8468675

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