Research Article
Optimizer in a Box: Simple Economic Optimization of Power Dispatch in Small Microgrids using OPC-UA
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 156 - Issue 9 |
| Published: Dec 2016 |
| Authors: Roberto Alexandre Dias, Gregory Das Chagas Gomes, Marcelo Lobo Heldwin |
10.5120/ijca2016912569
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Roberto Alexandre Dias, Gregory Das Chagas Gomes, Marcelo Lobo Heldwin . Optimizer in a Box: Simple Economic Optimization of Power Dispatch in Small Microgrids using OPC-UA. International Journal of Computer Applications. 156, 9 (Dec 2016), 27-33. DOI=10.5120/ijca2016912569
@article{ 10.5120/ijca2016912569,
author = { Roberto Alexandre Dias,Gregory Das Chagas Gomes,Marcelo Lobo Heldwin },
title = { Optimizer in a Box: Simple Economic Optimization of Power Dispatch in Small Microgrids using OPC-UA },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 156 },
number = { 9 },
pages = { 27-33 },
doi = { 10.5120/ijca2016912569 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Roberto Alexandre Dias
%A Gregory Das Chagas Gomes
%A Marcelo Lobo Heldwin
%T Optimizer in a Box: Simple Economic Optimization of Power Dispatch in Small Microgrids using OPC-UA%T
%J International Journal of Computer Applications
%V 156
%N 9
%P 27-33
%R 10.5120/ijca2016912569
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper a simple approach to is presented to economically optimize the power dispatch in a small microgrids environment. The optimization is modeled as a linear program problem and was solved by the Gnu Linear Program Tool Kit (GLPK). The converters and inverters that compose the microgrid use the OPC-UA protocol over Ethernet network to exchange data. The main contribution of this paper is the development of a simple optimizer system and friendly communication framework, compatible with small microgrids using renewable energy sources, like green data-centers and home environments to minimize the energy cost subjected to power limits of energy sources and loads demands.
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