Energy Management Scheduling for Microgrids in the Virtual Power Plant System Using Artificial Neural Networks

Energy Management Scheduling for Microgrids in the Virtual Power Plant System Using Artificial Neural Networks

This study uses an artificial neural network (ANN) as an intelligent controller for the management and scheduling of a number of microgrids (MGs) in virtual power plants (VPP). Two ANN-based scheduling control approaches are presented: the ANN-based backtracking search algorithm (ANN-BBSA) and ANN-b...

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Bibliographic Details
Main Authors: Maher G. M. Abdolrasol, Mahammad Abdul Hannan, S. M. Suhail Hussain, Taha Selim Ustun, Mahidur R. Sarker, Pin Jern Ker
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Energies
Subjects:
artificial neural network
virtual power plant
scheduling
energy management
multi-microgrids
Online Access:https://www.mdpi.com/1996-1073/14/20/6507

Internet

https://www.mdpi.com/1996-1073/14/20/6507

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