@inproceedings{48bc41eec20d414680ef77bd762c172f,
title = "State estimation on stand-alone DC microgrids through distributed intelligence",
abstract = "The development of stand-alone microgrids brings about different challenges in the efficient coordination of sources, storage and loads. State estimation is especially challenging as these types of applications require robust and low-cost methods that can produce fast and accurate estimates without the provision of topology information or data communications across the network. This research aims to address such challenges for stand-alone DC microgrids. The Recursive Least Squares (RLS) parameter estimation method is used together with local measurements to obtain the Thevenin equivalent parameters required for autonomous coordination of the microgrid's components. The presented on-line estimation method is simulated using Matlab/Simulink. The performance of the estimator is also tested using an experimental setup.",
keywords = "Thevenin equivalent, autonomous microgrids, on-line estimation, recursive least squares",
author = "Wesley Doorsamy and Cronje, {Willem A.}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 4th International Conference on Renewable Energy Research and Applications, ICRERA 2015 ; Conference date: 22-11-2015 Through 25-11-2015",
year = "2015",
doi = "10.1109/ICRERA.2015.7418700",
language = "English",
series = "2015 International Conference on Renewable Energy Research and Applications, ICRERA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "227--231",
booktitle = "2015 International Conference on Renewable Energy Research and Applications, ICRERA 2015",
address = "United States",
}