DocumentCode :
3068336
Title :
Hierarchical control with virtual resistance optimization for efficiency enhancement and State-of-Charge balancing in DC microgrids
Author :
Lexuan Meng ; Dragicevic, Tomislav ; Vasquez, Juan ; Guerrero, Josep ; Sanseverino, Eleonora Riva
Author_Institution :
Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark
fYear :
2015
fDate :
7-10 June 2015
Firstpage :
1
Lastpage :
6
Abstract :
This paper proposes a hierarchical control scheme which applies optimization method into DC microgrids in order to improve the system overall efficiency while considering the State-of-Charge (SoC) balancing at the same time. Primary droop controller, secondary voltage restoration controller and tertiary optimization tool formulate the complete hierarchical control system. Virtual resistances are taken as the decision variables for achieving the objective. Simulation results are presented to verify the proposed approach.
Keywords :
distributed power generation; optimisation; voltage control; DC microgrids; hierarchical control; hierarchical control system; primary droop controller; secondary voltage restoration controller; state-of-charge balancing; tertiary optimization tool; virtual resistance optimization; Algorithm design and analysis; Genetic algorithms; Linear programming; Optimization; Sociology; System-on-chip; Voltage control; efficiency; genetic algorithm; hierarchical control; state-of-charge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
DC Microgrids (ICDCM), 2015 IEEE First International Conference on
Conference_Location :
Atlanta, GA
Type :
conf
DOI :
10.1109/ICDCM.2015.7152000
Filename :
7152000
Link To Document :
بازگشت