Data Driven Stochastic Energy Management for Isolated Microgrids Based on Generative Adversarial Networks Considering Reactive Power Capabilities of Distributed Energy Resources and Reactive Power Costs

Data Driven Stochastic Energy Management for Isolated Microgrids Based on Generative Adversarial Networks Considering Reactive Power Capabilities of Distributed Energy Resources and Reactive Power Costs

This paper proposes a two-stage stochastic energy management (EM) in an isolated microgrid (MG) to decide for the day-ahead optimal dispatch. The dispatch aims to effectively manage the MG power sources, including intermittent renewable energy sources (RESs), battery energy storage systems (BESSs),...

Full description

Bibliographic Details
Main Authors: Shady M. Sadek, Walid A. Omran, M. A. Moustafa Hassan, Hossam E. A. Talaat
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Stochastic optimization
energy management (EM)
active/reactive power dispatch
generative adversarial networks (GANs)
microgrids (MGs)
renewable energy sources (RESs)
Online Access:https://ieeexplore.ieee.org/document/9311722/

Internet

https://ieeexplore.ieee.org/document/9311722/

Similar Items