Coordinated control strategy for wind storage active power of decommissioned power battery

被引：0

作者：

Ma L. ^{[1
]}

Wei C. ^{[2
]}

Xie L. ^{[1
]}

Wang K. ^{[1
]}

机构：

[1] College of Electrical Engineering, Xinjiang University, Urumqi

[2] Department of Electrical Engineering, Xinjiang Institute of Engineering, Urumqi

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2021年 / 42卷 / 10期

关键词：

Charge discharge sequence; Control strategy; Curtailed wind consumption; Decommissioned power battery; Energy storage; Wind power;

D O I：

10.19912/j.0254-0096.tynxb.2019fgc-0007

中图分类号：

学科分类号：

摘要：

In order to solve the severe challenges brought by the intermittent and volatility of wind power integration to the dispatching control of power system, a control model of cascade utilization of retired electric vehicle battery with economy is proposed. Firstly, a coordinated control strategy of wind storage active power based on retired electric vehicle battery is proposed, which takes the differentiated energy storage mode as the benchmark principle and establishes the energy storage and discharge sequence based on the upper and lower thresholds. Secondly, a model taking the maximum daily revenue of the energy storage system of decommissioned power battery as the target function is constructed, which is solved by using particle swarm optimization. Finally, taking a wind farm in Xinjiang as an example, the results show that the proposed control strategy can reduce the charging and discharging frequency of the energy storage device to achieve the maximum consumption of curtailed wind and improve the economy of the energy storage device. © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.

引用

页码：437 / 443

页数：6

共 17 条

[1]

GAO X T, LING Z B, GUO H F, Et al., Control strategies for wind farm with battery energy storage based on particle swarm optimization, Acta energiae solaris sinica, 35, 11, pp. 2249-2256, (2014)

[2]

LI J H, WANG S., Optimal combined peak-shaving scheme using energy storage for auxiliary considering both technology and economy, Automation of electric power systems, 41, 9, pp. 44-50, (2017)

[3]

MA W, WANG W, WU X Z, Et al., Coordinated control strategy of photovoltaics and energy storage for smoothing power fluctuations of photovoltaics and economic analysis, Power system technology, 42, 3, pp. 730-737, (2018)

[4]

YANG T M, SONG Z R, LOU S H, Et al., Sizing of hybrid energy storage system for improving wind power penetration, Power system technology, 42, 5, pp. 1488-1494, (2018)

[5]

YE J L, TAO Q, XUE J H, Et al., Economic progress analysis of energy storage in the application of wind power integration, Chemical industry and engineering progress, 35, S2, pp. 137-143, (2016)

[6]

SUN Z X, LIU H Q, ZHAO Z, Et al., Research on economical efficiency of energy storage, Proceedings of the CSEE, 33, S1, pp. 54-58, (2013)

[7]

LIU W X, NIU S Y, SHI D G, Et al., Optimal allocation of ADS battery energy storage considering operation strategy and investment subject benefit, Power system technology, 39, 10, pp. 2697-2704, (2015)

[8]

YAN G G, WANG Y, LI J H, Et al., Control methods and economic evaluation of energy storage system to match feasible area of wind power, High voltage engineering, 41, 7, pp. 2148-2155, (2015)

[9]

LUO Y, HUANG M, BAO Y, Et al., Tracking power generation real-time schedule strategy for wind power and battery energy storage combined system based on SOC optimal control of battery energy storage, Transactions of China Electrotechnical Society, 31, S1, pp. 214-220, (2016)

[10]

LI J H, JI L, CUI X Z, Et al., Coordination operating characteristics analysis of dual battery energy storage system based on PSCAD/EMTDC, Transactions of China Electrotechnical Society, 30, 14, pp. 434-441, (2015)

← 1 2 →