Artificial Intelligence Applications for Energy Management in Microgrid

被引:6
作者
Altin, Necmi [1 ]
Eyimaya, Suleyman Emre [2 ]
机构
[1] Gazi Univ, Fac Technol, Dept Elect Elect Engn, Ankara, Turkiye
[2] Gazi Univ, TUSAS Kazan Vocat Sch, Dept Elect & Automat, Ankara, Turkiye
来源
2023 11TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID | 2023年
关键词
Microgrids; Artificial Intelligence; Energy Management System; Renewable Energy; OPTIMIZATION; RESOURCES; ALGORITHM;
D O I
10.1109/ICSMARTGRID58556.2023.10170860
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Microgrids consist of distributed energy resources such as photovoltaic (PV) systems, wind energy conversion systems, energy storage devices and backup generators. Due to the intermittent nature of renewable energy resources, storage systems and energy management systems are required to achieve sustainable and reliable power. In microgrid systems, an energy management system is required to cover load power demand at any given time and to manage power flows throughout the entire microgrid. While microgrids offer many benefits, they contain various challenges such as energy management and control due to variable factors such as wind speed and solar irradiation. To overcome these challenges, Artificial Intelligence (AI) technologies have emerged as a promising approach to realize and optimize energy management in microgrid. In this article, AI technologies used in energy management system of the microgrids is reviewed and discussed in detail. Their abilities and limitations are explained.
引用
收藏
页数:6
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