A novel dual-battery energy storage system and control strategy for wind power application

被引：0

作者：

Wei D. ^{[1
]}

Zhao Q. ^{[1
]}

Yu S. ^{[2
]}

Fang J. ^{[1
]}

Wu Q. ^{[1
]}

机构：

[1] College of Electrical and Information, Northeast Agricultural University, Harbin

[2] College of Resources and Environment, Northeast Agricultural University, Harbin

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2021年 / 42卷 / 03期

关键词：

Battery energy storage system; Charge-discharge control; Control strategy; Electric power system; Wind power;

D O I：

10.19912/j.0254-0096.tynxb.2019-1367

中图分类号：

学科分类号：

摘要：

A new dual-battery wind energy storage system is proposed, which can maintain the fluctuation of wind power within a specified range at a lower operating cost. Wind farms can output constant power in each dispatching period, so that wind power can be stably integrated into the grid. When the dispatching power is lower than the actual wind power, the batteries with charging function are in working state, and when the dispatching power is higher than the actual wind power, the batteries with discharging function are in working state, when one of the batteries is full or deep discharging, the charging and discharging states of the two batteries are switched. To prolong the service life of batteries, the dispatching power is optimized to ensure that both batteries operate under complete charging and discharging cycles. This dual-battery energy storage system can significantly reduce the operating cost of the system. A 3 MW wind turbine with real wind power data is simulated and analyzed, and the effectiveness of the proposed system and control strategy is verified. © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.

引用

页码：259 / 267

页数：8

共 23 条

[1]

BAO Y Q, WANG B B, LI Y, Et al., Rolling dispatch model considering wind penetration and multi-scale demand response resource, Proceedings of the CSEE, 36, 17, pp. 4589-4600, (2016)

[2]

TIAN Y, WANG K Y, LI G J, Et al., Dynamic stochastic optimal power flow based on second-order cone programming considering wind power correlation, Automation of electric power systems, 42, 5, pp. 41-47, (2018)

[3]

LI C Y, CHEN X, ZHANG P, Et al., Multi-time-scale demand response dispatch considering wind power forecast error, Power system technology, 42, 2, pp. 487-494, (2018)

[4]

ZHU D D, LIU W Y, CAI W T, Et al., Load-source coordinated dispatch method for promating wind power accomandation based on rolling optimization of energy and power, Automation of electric power systems, 42, 5, pp. 80-85, (2018)

[5]

HOWLADER A M, URASAKI N, YONA A, Et al., A review of output power smoothing methods for wind energy conversion systems, Renewable and sustainable energy reviews, 26, 10, pp. 135-146, (2013)

[6]

YAO D L, CHOI S S, TSENG K J, Et al., A statistical approach to the design of a dispatchable wind power-battery energy storage system, IEEE transactions on energy conversion, 24, 4, pp. 916-925, (2013)

[7]

NGUYEN C L, LEE H H., Optimization of wind power dispatch to minimize energy storage system capacity, Journal of electrical engineering & technology, 9, 3, pp. 1080-1088, (2014)

[8]

JIANG Q Y, WANG H J., Two-time-scale coordination control for a battery energy storage system to mitigate wind power fluctuations, IEEE transactions on energy conversion, 28, 1, pp. 52-61, (2013)

[9]

ZHAO W M, LIU M B, ZHOU B R, Et al., Decentralized stochastic dynamic economic dispatch for multi-area power systems with wind power integrated, Proceedings of the CSEE, 37, 24, pp. 7087-7098, (2017)

[10]

WU H Y, SHAHIDEHPOUR M, LI ZY, Et al., Chance-constrained day-ahead scheduling in stochastic power system operation, IEEE transactions on power systems, 29, 4, pp. 1583-1591, (2014)

← 1 2 3 →