NDLI: An off-line optimization approach for online energy storage managementin microgrid system

Content Provider	IEEE Xplore Digital Library
Author	Rahbar, K. Jie Xu Rui Zhang
Copyright Year	2014
Description	Author affiliation: ECE Dept., Nat. Univ. of Singapore, Singapore, Singapore (Rahbar, K.; Jie Xu; Rui Zhang)
Abstract	This paper investigates the real-time energy management in power system with distributed microgrids, which are independently operated and each is modeled to comprise of a renewable generation system, an energy storage system and an aggregated load. We jointly optimize the energy charged/discharged to/from the storage system and that drawn from the main grid over a finite horizon to minimize the total energy cost of conventional generation subject to given load and storage constraints. We assume that the renewable energy offset by the load over time, named net energy profile, is predictable but with finite errors. First, we consider the “off-line” optimization under an idealized assumption that the net energy profile is known ahead of time, and derive its optimal closed-form solution. Next, by applying the off-line solution combined with a sliding-window based sequential optimization, we propose a new “online” algorithm for real-time energy management under the practical setup with noisy predicted net energy profile subject to arbitrary errors. Finally, through simulations, we compare the performance of our proposed online algorithm against the conventional dynamic programming based solution as well as a heuristically designed myopic algorithm under a practical setup.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	7769
Ending Page	7773
File Size	193396
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6855112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microgrids Prediction algorithms Energy storage Heuristic algorithms Silicon Optimization Renewable energy sources
Content Type	Text
Resource Type	Article

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