DocumentCode :
666871
Title :
Stability constrained efficiency optimization for droop controlled DC-DC conversion system
Author :
Lexuan Meng ; Dragicevic, Tomislav ; Guerrero, Josep M. ; Vasquez, Juan C.
Author_Institution :
Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
7222
Lastpage :
7227
Abstract :
Paralleled dc converter systems are widely used in distribution systems and uninterruptable power supplies. This paper implements a hierarchical control in a droop-controlled dc-dc conversion system with special focus on improving system efficiency which is dealt within the tertiary regulation. As the efficiency of each converter changes with output power, virtual resistances (VRs) are set as decision variables for adjusting power sharing proportion among converters. It is noteworthy that apart from restoring the voltage deviation, secondary control plays an important role to stabilize dc bus voltage when implementing tertiary regulation. Moreover, system dynamic is affected when shifting VRs. Therefore, the stability is considered in optimization by constraining the eigenvalues arising from dynamic state space model of the system. Genetic algorithm is used in searching for global efficiency optimum while keeping stable operation. Simulation results are shown to demonstrate the effectiveness of the method.
Keywords :
DC-DC power convertors; genetic algorithms; stability; state-space methods; UPS; VR; dc bus voltage; decision variables; distribution systems; droop controlled dc-dc conversion system; dynamic state space model; genetic algorithm; global efficiency; hierarchical control; paralleled dc converter systems; power sharing; secondary control; stability constrained efficiency optimization; tertiary regulation; uninterruptable power supplies; virtual resistances; voltage deviation; Algorithm design and analysis; Eigenvalues and eigenfunctions; Genetic algorithms; Load modeling; Optimization; Stability analysis; Voltage control; dc-dc conversion system; droop control; efficiency optimization; genetic algorithm; stability; virtual resistance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6700333
Filename :
6700333
Link To Document :
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