@inproceedings{e76c4c1bac884b6faefd13ecb643935c,
title = "Stability Constrained Efficiency Optimization for Droop Controlled DC-DC Conversion System",
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 conversion system, Droop control, Virtual resistance, Genetic algorithm, Efficiency optimization, Stability",
author = "Lexuan Meng and Tomislav Dragicevic and Guerrero, {Josep M.} and Vasquez, {Juan Carlos}",
year = "2013",
doi = "10.1109/IECON.2013.6700333",
language = "English",
isbn = "978-1-4799-0223-1",
series = "Proceedings of the Annual Conference of the IEEE Industrial Electronics Society",
publisher = "IEEE Press",
pages = "7222--7227",
booktitle = "Proceedings of the 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013",
note = "39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 ; Conference date: 10-11-2013 Through 13-11-2013",
}