research-article

Shaving Peaks by Augmenting the Dependency Graph

Authors:

Dorothea WagnerAuthors Info & Claims

e-Energy '19: Proceedings of the Tenth ACM International Conference on Future Energy Systems

Pages 181 - 191

https://doi.org/10.1145/3307772.3328298

Published: 15 June 2019 Publication History

Abstract

Demand Side Management (DSM) is an important building block for future energy systems, since it mitigates the non-dispatchable, fluctuating power generation of renewables. For centralized DSM to be implemented on a large scale, considerable amounts of electrical demands must be scheduled rapidly with high time resolution. To this end, we present the Scheduling With Augmented Graphs (SWAG) heuristic. SWAG uses simple, efficient graph operations on a job dependency graph to optimize schedules with a peak shaving objective. The graph-based approach makes it independent of the time resolution and incorporates job dependencies in a natural way. In a detailed evaluation of the algorithm, SWAG is compared to optimal solutions computed by a mixed-integer program. A comparison of SWAG to another state-of-the-art heuristic on a set of instances based on real-word consumption data demonstrates that SWAG outperforms this competitor, in particular on hard instances.

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Cited By

Bovornkeeratiroj PWamburu JIrwin DShenoy PJiang XGnawali ONagy Z(2021)VPeakProceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3486611.3486667(121-130)Online publication date: 17-Nov-2021
https://dl.acm.org/doi/10.1145/3486611.3486667
Soman ATrivedi AIrwin DKosanovic BMcDaniel BShenoy P(2020)Peak Forecasting for Battery-based Energy Optimizations in Campus MicrogridsProceedings of the Eleventh ACM International Conference on Future Energy Systems10.1145/3396851.3397751(237-241)Online publication date: 12-Jun-2020
https://dl.acm.org/doi/10.1145/3396851.3397751
Pryor EMumey BYaw S(2020)Scheduling Jobs with Precedence Constraints to Minimize Peak DemandCombinatorial Optimization and Applications10.1007/978-3-030-64843-5_10(140-150)Online publication date: 11-Dec-2020
https://dl.acm.org/doi/10.1007/978-3-030-64843-5_10

Index Terms

Shaving Peaks by Augmenting the Dependency Graph

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cover image ACM Other conferences

e-Energy '19: Proceedings of the Tenth ACM International Conference on Future Energy Systems

June 2019

589 pages

ISBN:9781450366717

DOI:10.1145/3307772

Copyright © 2019 ACM.

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SIGEnergy: ACM Special Interest Group on Energy Systems and Informatics

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Published: 15 June 2019

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e-Energy '19

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e-Energy '19: The Tenth ACM International Conference on Future Energy Systems

June 25 - 28, 2019

AZ, Phoenix, USA

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Cited By

Bovornkeeratiroj PWamburu JIrwin DShenoy PJiang XGnawali ONagy Z(2021)VPeakProceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3486611.3486667(121-130)Online publication date: 17-Nov-2021
https://dl.acm.org/doi/10.1145/3486611.3486667
Soman ATrivedi AIrwin DKosanovic BMcDaniel BShenoy P(2020)Peak Forecasting for Battery-based Energy Optimizations in Campus MicrogridsProceedings of the Eleventh ACM International Conference on Future Energy Systems10.1145/3396851.3397751(237-241)Online publication date: 12-Jun-2020
https://dl.acm.org/doi/10.1145/3396851.3397751
Pryor EMumey BYaw S(2020)Scheduling Jobs with Precedence Constraints to Minimize Peak DemandCombinatorial Optimization and Applications10.1007/978-3-030-64843-5_10(140-150)Online publication date: 11-Dec-2020
https://dl.acm.org/doi/10.1007/978-3-030-64843-5_10

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