Optimizing a Distributed Wind-Storage System Under Critical Uncertainties Using Benders Decomposition

Optimizing a Distributed Wind-Storage System Under Critical Uncertainties Using Benders Decomposition

A method for calculating the optimal size of an energy storage system (ESS) under wind uncertainties is presented based on Benders decomposition for stochastic programming in this paper. The ESSs are becoming essential components in microgrids due to significantly higher penetration of renewable ene...

Full description

Bibliographic Details
Main Authors: Mohammed A. Abdulgalil, Muhammad Khalid, Fahad Alismail
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Energy storage system
wind uncertainty
renewable energy
Benders decomposition
stochastic optimization
Online Access:https://ieeexplore.ieee.org/document/8735662/

Internet

https://ieeexplore.ieee.org/document/8735662/

Similar Items