A framework for analytical power flow solution using Gaussian process learning

• المؤلفون الرئيسيون: Pareek, Parikshit, Nguyen, Hung D.
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution; Analytical Power Flow Solution; Gaussian Process Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/153083

This paper proposes a novel analytical solution framework for power flow (PF) solutions in active distribution networks under uncertainty. We use the Gaussian process (GP) regression to learn node voltage as a function of effective bus load or negative net-injection vector. The proposed approximatio...