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31-10-2016 | Issue 2/2018

Artificial Intelligence Review 2/2018

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

Journal:
Artificial Intelligence Review > Issue 2/2018
Authors:
Xiangjun Li, Heming Yan
Important notes
This work is supported by Beijing Nova Program under Grant No. Z141101001814094, by Science and Technology Foundation of State Grid Corporation of China (SGCC) under Grant No. DG71-14-032, and by the special fund of Hebei Province for the transformation of major scientific and technological achievements under Grant No. B342DG130001.

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.

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