Non-parametric probabilistic load flow using Gaussian process learning

• Main Authors: Pareek, Parikshit, Wang, Chuan, Nguyen, Hung Dinh
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Probabilistic Power FLow; Gaussian Process Learning
• Online Access: https://hdl.handle.net/10356/150720
• Institution: Nanyang Technological University

The load flow problem is fundamental to characterize the equilibrium behavior of a power system. Uncertain power injections such as those due to demand variations and intermittent renewable resources will change the system's equilibrium unexpectedly, and thus potentially jeopardizing the system...