State-aware stochastic optimal power flow

• Main Authors: Pareek, Parikshit, Nguyen, Hung D.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution; Stochastic Optimal Power Flow; Machine Learning for Energy Systems
• Online Access: https://hdl.handle.net/10356/153086
• Institution: Nanyang Technological University

The increase in distributed generation (DG) and variable load mandates system operators to perform decision-making considering uncertainties. This paper introduces a novel state-aware stochastic optimal power flow (SA-SOPF) problem formulation. The proposed SA-SOPF has objective to find a day-ahead...