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@article{Battistelli:2016:10.1109/TSG.2016.2606560,
author = {Battistelli, C and Agalgoankar, YP and Pal, BC},
doi = {10.1109/TSG.2016.2606560},
journal = {IEEE Transactions on Smart Grid},
pages = {1305--1317},
title = {Probabilistic dispatch of remote hybrid microgrids including battery storage and load management},
url = {http://dx.doi.org/10.1109/TSG.2016.2606560},
volume = {8},
year = {2016}
}

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TY  - JOUR
AB  - This work presents a probabilistic economic dispatch tool for en-ergy management (EM) studies in the context of remote hybrid AC/DC microgrids (MGs). An EM approach is proposed to en-sure a reliable power supply at the minimum cost of the hybrid MG operation. A comprehensive operational framework is pre-sented, which considers topological features of the hybrid MG and the interlinking converter between AC and DC subsections. Approach and models are tested using several operating scenari-os referred to a test hybrid MG system. In the analyses, the opportunity of integrating battery energy storage and energy demand management in the EM scheme is investigated. The results of the analyses demonstrate the effectiveness and practicality of the optimization tool in different operation contexts.
AU  - Battistelli,C
AU  - Agalgoankar,YP
AU  - Pal,BC
DO  - 10.1109/TSG.2016.2606560
EP  - 1317
PY  - 2016///
SN  - 1949-3061
SP  - 1305
TI  - Probabilistic dispatch of remote hybrid microgrids including battery storage and load management
T2  - IEEE Transactions on Smart Grid
UR  - http://dx.doi.org/10.1109/TSG.2016.2606560
UR  - http://hdl.handle.net/10044/1/39646
VL  - 8
ER  -

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