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Research on the Operation Control Strategy of a Low-Voltage Direct Current Microgrid Based on a Disturbance Observer and Neural Network Adaptive Control Algorithm.

Authors :
Zhang, Liang
Chen, Kang
Lyu, Ling
Cai, Guowei
Source :
Energies (19961073); Mar2019, Vol. 12 Issue 6, p1162-1162, 1p, 11 Diagrams, 6 Graphs
Publication Year :
2019

Abstract

Low-voltage direct current (DC) microgrid based on distributed generation (DG), the problems of load mutation affecting the DC bus under island mode, and the security problems that may arise when the DC microgrid is switched from island mode to grid-connected mode are considered. Firstly, a DC bus control algorithm based on disturbance observer (DOB) was proposed to suppress the impact of system load mutation on DC bus in island mode. Then, in a grid-connected mode, a pre-synchronization control algorithm based on a neural network adaptive control was proposed, and the droop controller was improved to ensure better control accuracy. Through this pre-synchronization control, the microgrid inverters output voltage could quickly track the power grid's voltage and achieve an accurate grid-connected operation. The effectiveness of the algorithms was verified by simulation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19961073
Volume :
12
Issue :
6
Database :
Complementary Index
Journal :
Energies (19961073)
Publication Type :
Academic Journal
Accession number :
135682317
Full Text :
https://doi.org/10.3390/en12061162