微电网
智能电网
软件部署
最大化
分布式发电
模型预测控制
多样性(控制论)
计算机科学
风险分析(工程)
网格
需求响应
缩小
控制(管理)
电
工程类
可再生能源
经济
业务
微观经济学
程序设计语言
几何学
电气工程
数学
人工智能
操作系统
作者
Jiefeng Hu,Yinghao Shan,Yong Yang,Alessandra Parisio,Yong Li,Nima Amjady,Syed Islam,Ka Wai Eric Cheng,Josep M. Guerrero,José Rodríguez
出处
期刊:IEEE Transactions on Smart Grid
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:15 (1): 472-484
被引量:4
标识
DOI:10.1109/tsg.2023.3266253
摘要
Microgrids have emerged as a promising solution to integrate distributed energy resources (DERs) and supply reliable and efficient electricity. The operation of a microgrid involves the coordination of different DERs and loads. To date, various control methods have been developed to maximize the overall benefit while satisfying various constraints. Now it is urgently needed to understand and comprehend these approaches to further stimulate the deployment of microgrids. This paper presents an overview for researchers on economic model predictive control (EMPC) methods of microgrids to achieve a variety of objectives such as cost minimization and benefit maximization. The fundamental principle of the EMPC theory is explained in detail. The most popular and important strategies applied to stand-alone microgrids, grid-connected microgrids, residential smart homes, as well as networked microgrids are discussed. Future trends are also highlighted.
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