Data-Driven Kernel Extreme Learning Machine Method for the Location and Capacity Planning of Distributed Generation

Data-Driven Kernel Extreme Learning Machine Method for the Location and Capacity Planning of Distributed Generation

For the integration of distributed generations such as large-scale wind and photovoltaic power generation, the characteristics of the distribution network are fundamentally changed. The intermittence, variability, and uncertainty of wind and photovoltaic power generation make the adjustment of the n...

Full description

Bibliographic Details
Main Authors: Jingjing Tu, Yonghai Xu, Zhongdong Yin
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Energies
Subjects:
distribution generation (DG)
data-driven
kernel extreme learning machine algorithm (KELM)
voltage stability evaluation index (IVSE)
location
capacity
Online Access:http://www.mdpi.com/1996-1073/12/1/109

Internet

http://www.mdpi.com/1996-1073/12/1/109

Similar Items