Open AccessAn Optimal Droop Control Method of DC Micro-grid with Local Loads
Author(s) -
Renxi Gong,
Zihao Liu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/558/5/052002
Subject(s) - voltage droop , grid , control theory (sociology) , control (management) , computer science , electrical engineering , mathematics , engineering , voltage , voltage regulator , geometry , artificial intelligence
An optimal droop control optimization method is proposed of the DC microgrid. First, a modeling of the DC micro-grid is made based on the idea of model equivalence. And then, the traditional particle swarm optimization (PSO) is improved by introducing adaptive learning factors and inertial weights. Finally, based on the improved PSO algorithm, the droop parameters are optimized to optimize the system performance. The simulation results show that even under the dual effects of line impedance and local load, the system can still achieve a high accuracy of current sharing and has a significant suppression effect on the bus voltage deviation.