双级锂电池-超级电容混合储能的协调控制及功率分配
|
摘要
为平抑直驱式永磁同步风电机组功率波动,文章采用双级锂电池-超级电容混合储能的分层控制策略。首先,通过双向DC/DC变换器控制各储能单元充、放电;其次,将混合储能系统分为协调管理层和功率优化层,协调管理层充分利用锂电池和超级电容优势互补,功率优化层以锂电池荷电状态和最大充、放电功率为约束,建立锂电池功率分配策略及充、放电模式切换;最后,将实测风速数据导入仿真模型,并对比单级锂电池系统的充、放电次数。仿真结果表明,文章所提混合储能系统分层控制策略可很好地实现平滑风电系统出力,且减少了锂电池的充、放电次数,延长锂电池的使用寿命。
In this paper, a hierarchical control strategy of dual stage lithium battery-super capacitor hybrid energy storage is adopted to smooth the power fluctuation of direct-drive permanent magnet synchronous wind turbine. Firstly, the charge and discharge of each energy storage unit is controlled by the bidirectional DC/DC converter. Secondly, the hybrid energy storage system is divided into a coordination management layer and a power optimization layer. The coordination management layer makes full use of the complementary advantages of lithium battery and super capacitor. The power optimization layer is based on the state of charge of the lithium battery and the maximum charge and discharge power, and the power distribution strategy and charge and discharge mode switching of lithium battery are established. Finally, the actual measured wind speed data is imported into model and compared with the single stage lithium battery system charge and discharge times. The results show that the layered control strategy of the hybrid energy storage system can reduce wind power fluctuation well, and can reduce the number of charge and discharge of lithium battery and prolongs the service life.
In this paper, a hierarchical control strategy of dual stage lithium battery-super capacitor hybrid energy storage is adopted to smooth the power fluctuation of direct-drive permanent magnet synchronous wind turbine. Firstly, the charge and discharge of each energy storage unit is controlled by the bidirectional DC/DC converter. Secondly, the hybrid energy storage system is divided into a coordination management layer and a power optimization layer. The coordination management layer makes full use of the complementary advantages of lithium battery and super capacitor. The power optimization layer is based on the state of charge of the lithium battery and the maximum charge and discharge power, and the power distribution strategy and charge and discharge mode switching of lithium battery are established. Finally, the actual measured wind speed data is imported into model and compared with the single stage lithium battery system charge and discharge times. The results show that the layered control strategy of the hybrid energy storage system can reduce wind power fluctuation well, and can reduce the number of charge and discharge of lithium battery and prolongs the service life.
引文
[1]Li X,Hui D,Lai X.Battery ener gy storage station(bess)-based smoothing control of photovoltaic(PV)and wind power generation fluctuations[J].IEEETransactions on Sustainable Energy,2013,4(2):464-473.
[2]Manandhar U,Tummuru N R,Kumar S,et al Validation of faster joint control strategy for battery and supercapacitor based energy storage system[J].IEEETransactions on Industrial Electronics,2018,64(4):3286-3295.
[3]任永峰,胡宏彬,薛宇,等.全钒液流电池-超级电容混合储能平抑直驱式风电功率波动研究[J].高电压技术,2015,41(7):2127-2134.
[4]李军徽,穆钢,崔新振,等.双锂电池-电容器混合储能系统控制策略设计[J].高电压技术,2015,41(10):3224-3232.
[5]桑丙玉,陶以彬,郑高,等.超级电容-蓄电池混合储能拓扑结构和控制策略研究[J].电力系统保护与控制,2014(2):1-6.
[6]李逢兵,谢开贵,张雪松,等.基于锂电池充、放电状态的混合储能系统控制策略设计[J].电力系统自动化,2013,37(1):70-75.
[7]罗煜,黄梅,鲍谚,等.基于储能SOC优化控制的风储电站实时跟踪发电计划控制策略[J].电工技术学报,2016,31(1):214-220.
[8]常丰祺,郑泽东,李永东.一种新型混合储能拓扑及其功率分流算法[J].电工技术学报,2015,30(12):128-135.
[9]李辉,付博,杨超,等.多级钒电池储能系统的功率优化分配及控制策略[J].中国电机工程学报,2013,33(16):70-77.
[10]吴铁洲,许玉姗,何淑婷,等.Li-SC HESS功率协调分配的PCH强跟踪控制策略[J].可再生能源,2016,34(10):1473-1480.
[11]蔡国伟,陈冲,孔令国,等.风电/制氢/燃料电池/超级电容器混合系统控制策略[J].电工技术学报,2017,32(17):84-94.
[12]聂齐齐,张建成,王宁.独立光伏供电系统中多储能单元协调控制策略的研究[J].可再生能源,2018,36(3):340-345.
[13]Khalid Mehmood K,Khan S U,Lee S J,et al.Optimal sizing and allocation of battery energy storage systems with wind and solar power DGs in a distribution network for voltage regulation considering the lifespan of batteries[J].IET Renewable Power Generation,2017,11(10):1305-1315.
[14]姚波,樊艳芳.光储联合系统中储能电站的能量管理[J].可再生能源,2017,35(2):232-239.
[15]Esmaili A,Novakovic B,Nasiri A,et al.A hybrid system of li-ion capacitors and flow battery for dynamic wind energy support[J].IEEE Transactions on Industry Applications,2013,49(4):1649-1657.
[2]Manandhar U,Tummuru N R,Kumar S,et al Validation of faster joint control strategy for battery and supercapacitor based energy storage system[J].IEEETransactions on Industrial Electronics,2018,64(4):3286-3295.
[3]任永峰,胡宏彬,薛宇,等.全钒液流电池-超级电容混合储能平抑直驱式风电功率波动研究[J].高电压技术,2015,41(7):2127-2134.
[4]李军徽,穆钢,崔新振,等.双锂电池-电容器混合储能系统控制策略设计[J].高电压技术,2015,41(10):3224-3232.
[5]桑丙玉,陶以彬,郑高,等.超级电容-蓄电池混合储能拓扑结构和控制策略研究[J].电力系统保护与控制,2014(2):1-6.
[6]李逢兵,谢开贵,张雪松,等.基于锂电池充、放电状态的混合储能系统控制策略设计[J].电力系统自动化,2013,37(1):70-75.
[7]罗煜,黄梅,鲍谚,等.基于储能SOC优化控制的风储电站实时跟踪发电计划控制策略[J].电工技术学报,2016,31(1):214-220.
[8]常丰祺,郑泽东,李永东.一种新型混合储能拓扑及其功率分流算法[J].电工技术学报,2015,30(12):128-135.
[9]李辉,付博,杨超,等.多级钒电池储能系统的功率优化分配及控制策略[J].中国电机工程学报,2013,33(16):70-77.
[10]吴铁洲,许玉姗,何淑婷,等.Li-SC HESS功率协调分配的PCH强跟踪控制策略[J].可再生能源,2016,34(10):1473-1480.
[11]蔡国伟,陈冲,孔令国,等.风电/制氢/燃料电池/超级电容器混合系统控制策略[J].电工技术学报,2017,32(17):84-94.
[12]聂齐齐,张建成,王宁.独立光伏供电系统中多储能单元协调控制策略的研究[J].可再生能源,2018,36(3):340-345.
[13]Khalid Mehmood K,Khan S U,Lee S J,et al.Optimal sizing and allocation of battery energy storage systems with wind and solar power DGs in a distribution network for voltage regulation considering the lifespan of batteries[J].IET Renewable Power Generation,2017,11(10):1305-1315.
[14]姚波,樊艳芳.光储联合系统中储能电站的能量管理[J].可再生能源,2017,35(2):232-239.
[15]Esmaili A,Novakovic B,Nasiri A,et al.A hybrid system of li-ion capacitors and flow battery for dynamic wind energy support[J].IEEE Transactions on Industry Applications,2013,49(4):1649-1657.