@inproceedings{f202d12a4d2b4748993321211d7cf994,
title = "Implementation of load sharing with fast voltage regulation in parallel connected cascaded power boost converters based on droop coefficients refreshing method",
abstract = "Droop control has been widely implemented in Parallel structures of DC DC converters due to its inherent modularity and ease of implementation. In this kind of converters with resistive distribution lines, the P-V droop with boost converters is the most common method for load sharing. Current or load sharing is the most critical parameter in parallel operation of converters. Most of the methods to guarantee equal load sharing utilize some form of communication between the units. This increases the complexity and sensitivity to noise. The method that has been considered in this paper is P-V control option. P-V droop controls the dc current depending on the dc voltage. In this technique, per 10 microseconds, droop coefficients will be refreshing by sampling by load current. This circuit is simulated by MATLAB/SIMULINK and CADENCE for preparing to instruction and the results of the simulation confirmed the theoretical design. This design has implemented on a parallel structure with two blocks of cascaded boost converters at laboratory scales.",
keywords = "Cascaded DC DC Boost Converters, Current sharing, Droop coefficients refreshing method, PI Controller",
author = "Davood Ghaderi and Mehmet Celebi",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th International Conference on Computational Intelligence and Communication Networks, CICN 2017 ; Conference date: 16-09-2017 Through 17-09-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/CICN.2017.8319384",
language = "English",
series = "Proceedings - 9th International Conference on Computational Intelligence and Communication Networks, CICN 2017",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "195--199",
editor = "Baki Koyuncu and Tomar, {Geetam S.}",
booktitle = "Proceedings - 9th International Conference on Computational Intelligence and Communication Networks, CICN 2017",
address = "United States",
}