Reinforcement Learning-Based Intelligent Control Strategies for Optimal Power Management in Advanced Power Distribution Systems: A Survey
Intelligent energy management in renewable-based power distribution applications, such as microgrids, smart grids, smart buildings, and EV systems, is becoming increasingly important in the context of the transition toward the decentralization, digitalization, and decarbonization of energy networks....
Main Authors: | Mudhafar Al-Saadi, Maher Al-Greer, Michael Short |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/4/1608 |
Similar Items
-
Strategies for Controlling Microgrid Networks with Energy Storage Systems: A Review
by: Mudhafar Al-Saadi, et al.
Published: (2021-11-01) -
Multiagent-Based Control for Plug-and-Play Batteries in DC Microgrids with Infrastructure Compensation
by: Mudhafar Al-Saadi, et al.
Published: (2023-12-01) -
An Intelligent Multiagent System for Autonomous Microgrid Operation
by: Tetsuo Kinoshita, et al.
Published: (2012-09-01) -
Decision Support for Negotiations among Microgrids Using a Multiagent Architecture
by: Tiago Pinto, et al.
Published: (2018-09-01) -
A Smart Microgrid System with Artificial Intelligence for Power-Sharing and Power Quality Improvement
by: Divya R. Nair, et al.
Published: (2022-07-01)