Energy Management Method of Hybrid AC/DC Microgrid Using Artificial Neural Network
This paper proposes an artificial neural network (ANN)-based energy management system (EMS) for controlling power in AC–DC hybrid distribution networks. The proposed ANN-based EMS selects an optimal operating mode by collecting data such as the power provided by distributed generation (DG), the load...
Main Authors: | Kyung-Min Kang, Bong-Yeon Choi, Hoon Lee, Chang-Gyun An, Tae-Gyu Kim, Yoon-Seong Lee, Mina Kim, Junsin Yi, Chung-Yuen Won |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/16/1939 |
Similar Items
-
Energy Management System of DC Microgrid in Grid-Connected and Stand-Alone Modes: Control, Operation and Experimental Validation
by: Hoon Lee, et al.
Published: (2021-01-01) -
Hybrid AC/DC Microgrid Energy Management Strategy Based on Two-Step ANN
by: Tae-Gyu Kim, et al.
Published: (2023-02-01) -
Hybrid AC/DC Microgrid Planning with Optimal Placement of DC Feeders
by: Xiong Wu, et al.
Published: (2019-05-01) -
A Study on Energy Management and Cooperative Control Considering LVRT in a Hybrid Microgrid
by: Chang-Gyun An, et al.
Published: (2023-05-01) -
Temporally coordinated energy management for AC/DC hybrid microgrid considering dynamic conversion efficiency of bidirectional AC/DC converter
by: Wei, Bin, et al.
Published: (2020)