NDLI: Evolutionary scheduling of flexible offers for balancing electricity supply and demand

Content Provider	IEEE Xplore Digital Library
Author	Tusar, Tea Dovgan, Erik Filipic, Bogdan
Copyright Year	2012
Description	Author affiliation: Department of Intelligent Systems, JoŽef Stefan Institute, Ljubljana, Slovenia (Tusar, Tea; Dovgan, Erik; Filipic, Bogdan)
Abstract	To address the needs of rapidly changing energy markets, an energy data management system capable of supporting higher utilization of renewable energy sources is being developed. The system receives flexible offers from producers and consumers of energy, aggregates them on a regional level and schedules the aggregated flexible offers to balance forecast energy supply and demand. This paper focuses on formulating and solving the optimization problem of scheduling aggregated flexible offers within such a system. Three metaheuristic scheduling algorithms (a randomized greedy search, an evolutionary algorithm and a hybrid between the two) tailored to this problem are introduced and their performance is assessed on a benchmark test problem and two realistic problems. The best results are achieved by the evolutionary algorithms, which can efficiently handle thousands of aggregated flex-offers.
Starting Page	1
Ending Page	8
File Size	836395
Page Count	8
File Format	PDF
ISBN	9781467315104
e-ISBN	9781467315098
e-ISBN	9781467315081
DOI	10.1109/CEC.2012.6256494
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Evolutionary computation Scheduling Search problems Benchmark testing Optimization
Content Type	Text
Resource Type	Article

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