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ThinkMind // International Journal On Advances in Systems and Measurements, volume 10, numbers 3 and 4, 2017 // View article sysmea_v10_n34_2017_14


Improved Distribution of Locally Sourced Energy in Smart Grids During Brownouts and in Times of Energy Scarcity

Authors:
Rolf Egert
Florian Volk
Jörg Daubert
Max Mühlhäuser

Keywords: Smart Grid; Micro Grid; Demand and Response; Fairness; Electrical Grid; Optimization

Abstract:
Brown-out situations are cases of electricity distribution in which demand exceeds production and transportation capabilities. In contrast to black-outs, energy is available to some extent, but not enough to meet the demand of all consumers. Traditionally, centrally organized power grids with large production capabilities on the one end of the distribution grid and only consumers on the other end are struggling to cope with brown-out situations. In order to achieve a somewhat fair distribution of the available energy, street busses are supplied in a round-robin-like distribution scheme. For that, some streets busses are supplied with energy, while others encounter local black-outs. Due to the round-robin-like scheme, all consumers receive some energy eventually. Modern, ICT-enhanced ”smart grids”, which also include small and local production capabilities (often-times renewable energy sources like photovoltaic) provide new means of addressing brown-outs. In this paper, we evolve the current round-robin-like scheme further to take the properties of smart grids into account. This affects the fairness of energy distribution, but—in total—increases the amount of supplied consumers. Extensive simulations that are based on real-world street busses of the German electrical grid are conducted. These simulations are conducted with our smart grid simulation tool HOLEG and they indicate improved supply rates during brownouts, even in the presence of volatile local energy production. We extend our model to a hierarchical scheme, spanning from the distribution grid down to household items, for which we imagine fine-grained control capabilities in the future smart grid.

Pages: 234 to 244

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: December 31, 2017

Published in: journal

ISSN: 1942-261x

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