A wild horse-assisted decentralized control strategy for a PV-battery energy storage system in a DC microgrid

被引:0
|
作者
Sandeep, S. D. [1 ]
Mohanty, Satyajit [1 ]
机构
[1] Vellore Inst Technol, Sch Elect Engn, Vellore 632014, Tamil Nadu, India
关键词
Optimization technique; Improved Wild Horse Optimization (IWHO); Droop control; Decentralized DC Microgrid; Primary & Secondary control; Droop gain; MANAGEMENT;
D O I
10.1007/s12530-024-09597-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Microgrids have become inevitable choice for society to avoid carbon footprints and to reduce global warming. For the efficient operation of DC Microgrid, it is very important to maintain the stability of the DC bus voltage across the grid. Thus, owing to the dynamic behaviour of renewable energy sources, it is difficult to maintain the DC Microgrid voltage constant. To overcome the above problem, a robust decentralized droop control technique is required to generate the proper droop gains across each converter to share the load equally to maintain the stability of the DC bus voltage. In this paper, a novel methodology is proposed known as Improved Wild Horse Optimization (WHO), which is used to estimate the droop gains such as Delta R-d1 and Delta R-d2, which assists in the enhancement of the stability of DC Microgrid. The proposed control strategy shows higher performance in comparison to other standard controllers. In contrast to the conventional droop gains of 0.2 and 0.2, the new droop gains Delta R-d1 and Delta R-d2 have given better values of 0.15 and 0.1.
引用
收藏
页数:17
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