Learning Reactive Power Control Polices in Distribution Networks Using Conditional Value-at-Risk and Artificial Neural Networks

Scalable coordination of photovoltaic (PV) inverters, considering the uncertainty in PV and load in distribution networks (DNs), is challenging due to the lack of real-time communications. Decentralized PV inverter setpoints can be achieved to address this issue by capitalizing on the abundance of d...

Full description

Bibliographic Details
Main Authors: Krishna Sandeep Ayyagari, Reynaldo Gonzalez, Yufang Jin, Miltiadis Alamaniotis, Sara Ahmed, Nikolaos Gatsis
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10026489/