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Coupling neighboring microgrids for overload management based on dynamic multicriteria decision-making

Shahnia, F., Bourbour, S. and Ghosh, A. (2015) Coupling neighboring microgrids for overload management based on dynamic multicriteria decision-making. IEEE Transactions on Smart Grid, PP (99).

Link to Published Version: http://dx.doi.org/10.1109/TSG.2015.2477845
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Abstract

A microgrid (MG) is expected to supply its local loads independently; however, due to intermittency of wind and solar-based energy resources as well as the load uncertainty, it is probable that the MG experiences power deficiency (overloading). This problem can be mitigated by coupling the overloaded MG to another neighboring MG that has surplus power. Considering a distribution network composed of several islanded MGs, defining the suitable MGs (alternative) to be coupled with the overloaded MG is a challenge. An MG overload management technique is developed in this paper, which first identifies the overloaded MG(s) and then selects the most suitable alternative. The alternative selection is based on different criteria, such as available surplus power, reliability, supply security, power loss, electricity cost, and CO₂ emissions in the alternative MGs. Moreover, the frequency and voltage deviation in the system of coupled MGs are considered in the selection. A dynamic multicriteria decision-making algorithm is developed for this purpose. To contemplate the uncertainties in the considered distribution network, a cloud theory-based probabilistic analysis is deployed as the research framework and the performance of the developed technique is evaluated in MATLAB.

Publication Type: Journal Article
Murdoch Affiliation: School of Engineering and Information Technology
Publisher: IEEE Xplore
Copyright: 2015 IEEE
URI: http://researchrepository.murdoch.edu.au/id/eprint/32512
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