Title
Real-Time Scheduling of Distributed Resources.
Abstract
We develop and analyze real-time scheduling algorithms for coordinated aggregation of deferrable loads and storage. These distributed resources offer flexibility that can enable the integration of renewable generation by reducing reserve costs. We present three scheduling policies: earliest deadline first (EDF), least laxity first (LLF), and receding horizon control (RHC). We offer a novel cost metric for RHC-based scheduling that explicitly accounts for reserve costs. We study the performance of these algorithms in the metrics of reserve energy and capacity through simulation studies. We conclude that the benefits of coordinated aggregation can be realized from modest levels of both deferrable load participation and flexibility.
Year
DOI
Venue
2013
10.1109/TSG.2013.2262508
IEEE Trans. Smart Grid
Keywords
Field
DocType
cost reduction,distributed power generation,power generation economics,power generation scheduling,EDF scheduling policy,LLF scheduling policy,RHC scheduling policy,coordinated aggregation,deferrable load participation,distributed resources,earliest deadline first scheduling policy,least laxity first scheduling policy,real-time scheduling algorithm,receding horizon control scheduling policy,renewable generation integration,reserve cost reduction,reserve energy,Energy management,optimization methods,predictive control,renewable energy resources,scheduling algorithms
Lottery scheduling,Fixed-priority pre-emptive scheduling,Economics,Fair-share scheduling,Least slack time scheduling,Rate-monotonic scheduling,Earliest deadline first scheduling,Dynamic priority scheduling,Round-robin scheduling,Distributed computing
Journal
Volume
Issue
ISSN
4
4
1949-3053
Citations 
PageRank 
References 
20
0.96
5
Authors
5
Name
Order
Citations
PageRank
Anand Subramanian1115458.21
Manuel J. Garcia2201.30
Duncan S. Callaway367877.24
Kameshwar Poolla41495131.69
Pravin Varaiya52543298.93