Review of Control and Energy Management Approaches in Micro-Grid Systems

被引:97
|
作者
Elmouatamid, Abdellatif [1 ,2 ]
Ouladsine, Radouane [1 ]
Bakhouya, Mohamed [1 ]
El Kamoun, Najib [2 ]
Khaidar, Mohammed [2 ]
Zine-Dine, Khalid [3 ]
机构
[1] Int Univ Rabat, Coll Engn & Architecture, LERMA Lab, Sala Eljadida 11100, Morocco
[2] Chouaib Doukkali Univ, STIC Lab, Fac Sci CUR EnR&SIE, El Jadida 24000, Morocco
[3] Mohammed V Univ, Fac Sci, Rabat 10000, Morocco
关键词
control approaches; energy management; optimization method; objective function; control constraints; MODEL-PREDICTIVE CONTROL; DISTRIBUTED OPTIMIZATION; POWER MANAGEMENT; CONTROL STRATEGY; ROBUST OPTIMIZATION; OPTIMAL OPERATION; NEURAL-NETWORKS; BATTERY; ALGORITHM; WIND;
D O I
10.3390/en14010168
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The demand for electricity is increased due to the development of the industry, the electrification of transport, the rise of household demand, and the increase in demand for digitally connected devices and air conditioning systems. For that, solutions and actions should be developed for greater consumers of electricity. For instance, MG (Micro-grid) buildings are one of the main consumers of electricity, and if they are correctly constructed, controlled, and operated, a significant energy saving can be attained. As a solution, hybrid RES (renewable energy source) systems are proposed, offering the possibility for simple consumers to be producers of electricity. This hybrid system contains different renewable generators connected to energy storage systems, making it possible to locally produce a part of energy in order to minimize the consumption from the utility grid. This work gives a concise state-of-the-art overview of the main control approaches for energy management in MG systems. Principally, this study is carried out in order to define the suitable control approach for MGs for energy management in buildings. A classification of approaches is also given in order to shed more light on the need for predictive control for energy management in MGs.
引用
收藏
页数:30
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