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Artificial Intelligence Review

Erschienen in:

31.10.2016

Fuzzy logic-based coordinated control method for multi-type battery energy storage systems

verfasst von: Xiangjun Li, Heming Yan

Erschienen in: Artificial Intelligence Review | Ausgabe 2/2018

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Abstract

In order to take full advantage of the complementary nature of multi-type energy storage and maximally increase the capability of tracking the scheduled wind power output, a charging–discharging control strategy for a battery energy storage system (BESS) comprising many control coefficients is established, and a power distribution method employing fuzzy control principles to optimize the multi-type BESS is proposed, so as to reduce the error of day-ahead short-term wind power prediction. A simulation analysis, taking a typical wind farm output as an actual data sample, showed that the proposed fuzzy logic control method for the multi-type BESS is uniquely flexible and adaptable in achieving the control effect of improving the capability of tracking the scheduled wind power output.

Vorheriger Artikel Solving cross-matching puzzles using intelligent genetic algorithms

Nächster Artikel Development of seven hybrid methods based on collective intelligence for solving nonlinear constrained optimization problems

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Titel: Fuzzy logic-based coordinated control method for multi-type battery energy storage systems
verfasst von: Xiangjun Li
Heming Yan
Publikationsdatum: 31.10.2016
Verlag: Springer Netherlands
Erschienen in: Artificial Intelligence Review / Ausgabe 2/2018
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-016-9523-5

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