%0 Electronic Article
%A Jiyuan Zhang
%A Jie Shu
%A Jia Ning
%A Lei Huang
%A Hao Wang
%K MATLAB
%K virtual resistive components
%K real powers
%K feeder impedances variations
%K electrical distance variation
%K improved R–L type droop control
%K virtual inductive components
%K integral controllers
%K Simulink
%K reactive powers
%K load points
%K electric network complexity
%K low-voltage networked microgrid
%K distributed generation units
%K adaptive virtual impedance loop
%K enhanced proportional power sharing strategy
%K mismatched impedance
%X The variation of the electrical distance and the complexity of the electric network lead to the variations of feeder impedances between distributed generation units and load points. It is determined that conventional droop control has drawbacks in achieving accurate power sharing due to the effects of mismatched impedance. Therefore, this study proposes an enhanced proportional power sharing strategy based on adaptive virtual impedance in a low-voltage networked microgrid. The improved R–L type droop control can effectively prevent the coupling between real and reactive powers. Furthermore, an adaptive virtual impedance loop is introduced to counteract the feeder voltage drop. The method utilises real and reactive power mismatching which were fed into integral controllers, and then generates the virtual inductive and resistive components, respectively. This proposed strategy is able to enhance power sharing accuracy without requiring the knowledge of feeder impedance, and it is more adaptive to the complex impedance. The simulation experiments carried out under the environment of MATLAB/Simulink, and results verify the effectiveness of the proposed strategy.
%@ 1751-8687
%T Enhanced proportional power sharing strategy based on adaptive virtual impedance in low-voltage networked microgrid
%B IET Generation, Transmission & Distribution
%D June 2018
%V 12
%N 11
%P 2566-2576
%I Institution of Engineering and Technology
%U https://digital-library.theiet.org/;jsessionid=1gd74ilmhhmof.x-iet-live-01content/journals/10.1049/iet-gtd.2018.0051
%G EN