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2017 | OriginalPaper | Chapter

Novel Scheduling for Energy Management in Microgrid

Authors : Zaixin Lu, Jd Youngs, Zhi Chen, Miao Pan

Published in: Combinatorial Optimization and Applications

Publisher: Springer International Publishing

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Abstract

Microgrids have made more distributed energy resources available, while the effective applications are still hindered by the limited control of both power demand and supply. To address this issue, we propose a novel energy management system based on mobile social app for energy management in microgrids. Specifically, we not only let users share and report their energy consumption patterns via the proposed mobile social app, but also let them modify their plans to balance the energy supply and demand. We mathematically formulate the new energy management into an optimization problem, with the objective of coordinating the energy consumption activities to maximize the utilization of renewable energy resources. Resorting to methods from Combinatorics, we develop an approximation scheduling algorithm by considering the characteristics of renewable power resources. By experimental simulation, we show that the proposed system can significantly improve the energy efficiency of microgrids.

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Metadata
Title
Novel Scheduling for Energy Management in Microgrid
Authors
Zaixin Lu
Jd Youngs
Zhi Chen
Miao Pan
Copyright Year
2017
Book
Combinatorial Optimization and Applications

Print ISBN: 978-3-319-71146-1

Electronic ISBN: 978-3-319-71147-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-71147-8_3

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