Non-parametric probabilistic load flow using Gaussian process learning

• المؤلفون الرئيسيون: Pareek, Parikshit, Wang, Chuan, Nguyen, Hung Dinh
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Electrical and electronic engineering; Probabilistic Power FLow; Gaussian Process Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/150720
• المؤسسة: 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...