具备荷电状态调节功能的储能系统实时平滑控制策略
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摘要
利用电池储能系统平滑风电功率波动可以提高风力发电站功率输出的稳定性。针对风电出力的随机性特别是骤变情况,提出一种基于加权移动平均滤波算法的储能系统平滑控制策略。该方法根据风电功率的波动程度与当前储能系统的荷电状态(state of charge,SOC),通过实时调整权重系数和滤波带宽有效平滑风电功率的骤变。为了维持SOC在合理水平,在综合考虑各种约束条件后,该文采用模糊控制法设计了能够根据实时情况自动调节储能电池SOC的控制策略。算例结果表明,该文提出的控制策略在维持SOC合理水平前提下能有效平滑功率波动;同时,该文方法基于的在线信息使其具有实时应用前景。
Taking advantage of battery energy storage system(BESS) to smooth wind power fluctuations can improve the stability of the power output of wind power plant.To cope with the problem caused by the strong randomness,especially for sudden changes of wind power,a storage system smoothing control strategy based on the weighted moving average filtering algorithm is proposed in this paper.This method can effectively smooth large power fluctuations by adjusting weights and filter bandwidth timely according to the volatility of wind power and current state of charge(SOC) of the storage system.In order to maintain the SOC at a reasonable level,after considering a variety of constraints,this paper adopts the fuzzy control method to design a control strategy which can regulate the SOC of the storage battery automatically according to the real-time status.Results indicate that the control strategy presented in this paper can effectively smooth power fluctuations under the premise of stabilizing the SOC at a reasonable level,meanwhile,the method is based on the on-line information,which endows it with future prospects of real-time application.
Taking advantage of battery energy storage system(BESS) to smooth wind power fluctuations can improve the stability of the power output of wind power plant.To cope with the problem caused by the strong randomness,especially for sudden changes of wind power,a storage system smoothing control strategy based on the weighted moving average filtering algorithm is proposed in this paper.This method can effectively smooth large power fluctuations by adjusting weights and filter bandwidth timely according to the volatility of wind power and current state of charge(SOC) of the storage system.In order to maintain the SOC at a reasonable level,after considering a variety of constraints,this paper adopts the fuzzy control method to design a control strategy which can regulate the SOC of the storage battery automatically according to the real-time status.Results indicate that the control strategy presented in this paper can effectively smooth power fluctuations under the premise of stabilizing the SOC at a reasonable level,meanwhile,the method is based on the on-line information,which endows it with future prospects of real-time application.
引文
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[16]丁明,徐宁舟,毕锐.负荷侧新型电池储能电站动态功能的研究[J].电力自动化设备,2011,31(5):1-7.Ding Ming,Xu Ningzhou,Bi Rui.Dynamic model o new-type battery energy storage system at demand side[J].Electric Power Automation Equipment,2011,31(5):1-7(in Chinese).
[17]丁明,林根德,陈自年,等.一种适用于混合储能系统的控制策略[J].中国电机工程学报,2012,32(7):1-6.Ding Ming,Lin Gende,Chen Zinian,et al.A contro strategy for hybrid energy storage system[J].Proceeding of the CSEE,2012,32(7):1-6(in Chinese).
[18]Zhao Y S,Zhan J,Zhang Y,et al.The optimal capacity configuration of an independent wind/PV hybrid powe supply system based on improved PSO algorithm[C]//International conference on advances in powe system control,Operation and Management.Hong Kong,China:IEEE,2009:1-7.
[19]Nelson P,Bloom I,Amine K,et al.Design modeling o lithium-ion battery performance[J].Power Sources,2002,110(2):437-444.
[20]BYD Company Limited[EB/OL].[2011-04-23].http://www.bydenergy.com/energy/Products/.
[21]A123SYSTEMS,LLC[EB/OL].[2012-04-23].http://www.a123systems.com/.
[22]Billinton R,Yi Gao.Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy[J].IEEE Trans.on Energy Conversion,2008,23(1):163-170.
[2]彭思敏,曹云峰,蔡旭.大型蓄电池储能系统接入微电网方式及控制策略[J].电力系统自动化,2011,35(16):38-43.Peng Simin,Cao Yu feng,Cai Xu.Control of large scale battery energy storage system interface to microgrid[J].Automation of Electric Power Systems,2011,35(16):38-43(in Chinese).
[3]Khalid M,Savkin A V.A model predictive control approach to the problem of wind power smoothing with controlled battery storage[J].Renewable Energy,2010,35(7):1520-1526.
[4]Rahman S,Pipattanasomporn M.大规模风电接入对美国电力系统运行的影响和平抑策略(英文)[J].电力系统自动化,2011,35(22):3-11.Rahman S,Pipattanasomporn M.Operating impacts and mitigation strategies with large-scale wind power penetration in the united states[J].Automation of Electric Power Systems,2011,35(22):3-11(in English).
[5]Teleke S,Baran M E,Bhattacharya S,et al.Optimal control of battery energy storage for wind farm dispatching[J].IEEE Trans.on Energy Conversion,2010,25(3):787-794.
[6]贾俊川,刘晋,张一工.集成嵌入式储能的双馈风力发电系统功率控制[J].电力系统自动化,2010,34(15):80-84.Jia Junchuan,Liu Jin,Zhang Yigong.Power control of DFIG based wind power system incorporated with embedded energy storage[J].Automation of Electric Power Systems,2010,34(15):80-84(in Chinese).
[7]Jiang Zhenhua,Yu Xunwei.Modeling and control of an integrated wind power generation and energy storage system[C]//Power&Energy Society General Meeting.Alberta,Canada:IEEE,2009:1-8.
[8]张步涵,曾杰,毛承雄,等.电池储能系统在改善并网风电场电能质量和稳定性中的应用[J].电网技术,2006,30(15):54-58.Zhang Buhan,Zeng Jie,Mao Chengxiong,et al.Improvement of power quality and stability of wind farms connected to power grid by battery energy storage system[J].Power System Technology,2006,30(15):54-58(in Chinese).
[9]宇航.利用储能系统平抑风电功率波动的仿真研究[D].吉林:东北电力大学,2008.Yu Hang.Simulation research on smoothing the wind power fluctuation by using energy storage system[D].Jilin:Northeast Dianli University,2008(in Chinese).
[10]Tesfahunegn S G,Ulleberg,Vie P J S,et al.Optimal shifting of photovoltaic and load fluctuations from fuel cell and electrolyzer to lead acid battery in a photovoltaic/hydrogen standalone power system for improved performance and life time[J].Power Sources,2011,196(23),10401-10414.
[11]丁明,徐宁舟,毕锐.用于平抑可再生能源功率波动的储能电站的建模及评价[J].电力系统自动化,2011,35(2):66-72.Ding Ming,Xu Ningzhou,Bi Rui.Modeling of BESS for smoothing renewable energy output fluctuation[J].Automation of Electric Power Systems,2011,35(2):66-72(in Chinese).
[12]毕大强,葛宝明,王文亮,等.基于钒电池储能系统的风电场并网功率控制[J].电力系统自动化,2010,34(13):72-78.Bi Daqiang,Ge Baoming,Wang Wenliang,et al.VRB energy storage system based power control o grid-connected wind farm[J].Automation of Electri Power Systems,2010,34(13):72-78(in Chinese).
[13]Yoshimoto K,Nanahara T,Koshimizu G,et al.New control method for regulating state-of-charge of a battery in hybrid wind power/battery energy storag system[C]//Power Systems Conference and Exposition.Atlanta,America:IEEE,2006:1244-1251.
[14]Teleke S,Baran M E,Huang A Q,et al.Control strategie for battery energy storage for wind farm dispatching[J].IEEE Trans.on Energy Conversion,2009,24(3):725-732.
[15]全国电力监管标准化技术委员会.GBT_19963-2011风电场接入电力系统技术规定[S].北京:中国标准出版社,2011.National Electricity Regulatory Standardization Technica Committee.GBT_19963-2011Technical rule fo connecting wind farm to power system[S].Beijing:Standard Press of China,2011(in Chinese).
[16]丁明,徐宁舟,毕锐.负荷侧新型电池储能电站动态功能的研究[J].电力自动化设备,2011,31(5):1-7.Ding Ming,Xu Ningzhou,Bi Rui.Dynamic model o new-type battery energy storage system at demand side[J].Electric Power Automation Equipment,2011,31(5):1-7(in Chinese).
[17]丁明,林根德,陈自年,等.一种适用于混合储能系统的控制策略[J].中国电机工程学报,2012,32(7):1-6.Ding Ming,Lin Gende,Chen Zinian,et al.A contro strategy for hybrid energy storage system[J].Proceeding of the CSEE,2012,32(7):1-6(in Chinese).
[18]Zhao Y S,Zhan J,Zhang Y,et al.The optimal capacity configuration of an independent wind/PV hybrid powe supply system based on improved PSO algorithm[C]//International conference on advances in powe system control,Operation and Management.Hong Kong,China:IEEE,2009:1-7.
[19]Nelson P,Bloom I,Amine K,et al.Design modeling o lithium-ion battery performance[J].Power Sources,2002,110(2):437-444.
[20]BYD Company Limited[EB/OL].[2011-04-23].http://www.bydenergy.com/energy/Products/.
[21]A123SYSTEMS,LLC[EB/OL].[2012-04-23].http://www.a123systems.com/.
[22]Billinton R,Yi Gao.Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy[J].IEEE Trans.on Energy Conversion,2008,23(1):163-170.