风光发电系统中模拟电机特性的储能优化控制
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摘要
储能控制技术是微电网发展的核心之一,在出力稳定性不足的光伏和风力发电中,优化储能的控制策略可以提升系统平滑功率波动的能力。针对风光发电微电网中电力接口缺少惯性缓冲,在系统受到扰动时,容易产生较大的响应冲击,研究了将旋转电机的惯性和阻尼特性引入储能的控制中,使储能具备旋转电机的鲁棒性,增强了系统抵抗干扰的能力。提出了根据蓄电池荷电状态进行负荷所需功率分配控制蓄电池充放电的优化控制策略,避免了蓄电池的过充过放,延长了蓄电池的使用寿命。通过小信号分析和Matlab/Simulink仿真,验证了控制策略能够优化储能性能,提升系统运行的可靠性。
Energy storage control technology is one of the development cores of the micro-grid. In the photovoltaic and wind power generation with insufficient stability,the optimal control strategy of energy storage can enhance the ability of smooth power fluctuation of the system. In view of lacking inertial buffer of power interface in the wind-solar micro-grid and big response shock in case fluctuation of the system,it is studied to introduce the inertial and damping characteristics of rotating motor into the control of energy storage,so to keep the energy storage possess the robustness of rotating motor and increase interference resistance ability of the system. The optimal control strategy for control ling the charge and discharge of the battery is proposed for the needed power distribution in accordance with battery charge status,so to void the excess charge and discharge of the battery and extend service life of the battery. The ability of the control strategy to optimize the energy storage performance and improve reliability of system operation is verified by the small signal analysis and system simulation.
Energy storage control technology is one of the development cores of the micro-grid. In the photovoltaic and wind power generation with insufficient stability,the optimal control strategy of energy storage can enhance the ability of smooth power fluctuation of the system. In view of lacking inertial buffer of power interface in the wind-solar micro-grid and big response shock in case fluctuation of the system,it is studied to introduce the inertial and damping characteristics of rotating motor into the control of energy storage,so to keep the energy storage possess the robustness of rotating motor and increase interference resistance ability of the system. The optimal control strategy for control ling the charge and discharge of the battery is proposed for the needed power distribution in accordance with battery charge status,so to void the excess charge and discharge of the battery and extend service life of the battery. The ability of the control strategy to optimize the energy storage performance and improve reliability of system operation is verified by the small signal analysis and system simulation.
引文
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[2]MA W J,WANG J,LU X,et al.Optimal operation mode selection for a DC microgrid[J].IEEE Transactions on Smart Grid,2017,7(6):2624-2632.
[3]章竹耀,郭晓丽,张新松,等.储能电池平抑风功率波动策略[J].电力系统保护与控制,2017,45(3):62-68.ZHANG Zhuyao,GUO Xiaoli,ZHANG Xinsong,et al.Strategy of smoothing wind power fluctuation based on storage battery[J].Power System Protection and Control,2017,45(3):62-68.
[4]ZHAO Tianqiao,DING Zhengtao.Cooperative optimal control of battery energy storage system under wind uncertainties in a microgrid[J].IEEE Transactions on Power Systems,2018,33(2):2292-2300.
[5]胡巧辉,樊艳芳,王一波.基于光储燃的直流微电网协调控制策略[J].电力电容器与无功补偿,2017,38(6):138-143.HU Qiaohui,FAN Yanfang,WANG Yibo.DC microgrid coordinated control strategy based on PV,BES and FC[J].Power Capacitor&Reactive Power Compensation,2017,38(6):138-143.
[6]LU Xiaonan,SUN Kai,GUERRERO J M,et al.Stability enhancement based on virtual impedance for DC microgrids with constant power loads[J].IEEE Transactions on Smart Grid,2015,6(6):2770-2783.
[7]荣雅君,陈乐,崔明勇,等.基于最大功率点跟踪的蓄电池充电控制策略[J].电网技术,2014,38(2):347-351.RONG Yajun,CHEN Le,CUI Mingyong,et al.A battery charging control strategybased on maximum power point tracking[J].Power System Technology,2014,38(2):347-351.
[8]秦文萍,柳雪松,韩肖清,等.直流微电网储能系统自动充放电改进控制策略[J].电网技术,2014,38(7):1827-1834.QIN Wenping,LIU Xuesong,HAN Xiaoqing,et al.An improved control strategy of automatic charging/discharging of energy storage system in DC microgrid[J].Power System Technology,2014,38(7):1827-1834.
[9]张辉,谭树成,肖曦,等.具有直流电机特性的储能接口变换器控制策略[J].高电压技术,2018,44(1):119-125.ZHANG Hui,TAN Shucheng,XIAO Xi,et al.Control strategy of energy storage converter for with DC machine characteristics[J].High Voltage Engineering,2018,44(1):119-125.
[10]李相俊,王上行,惠东.电池储能系统运行控制与应用方法综述及展望[J].电网技术,2017,41(10):3315-3325.LI Xiangjun,WANG Shanghang,XI Dong.Overview and prospect of operational control and application methods for battery energy storage system[J].Power System Technology,2017,41(10):3315-3325.
[11]FARROKHABBD M,KOENIG S,CANIZARES C A,et al.Battery energy storage system models for microgrid stability analysis and dynamic simulation[J].IEEE Transactions on Power Systems,2017(99):1-1.
[12]彭德奇,姚芳.风光互补发电系统研究与设计[J].轻工科技,2016,32(3):49-50.
[13]SHARMA H,PAL N,KUMAR P,et al.A control strategy of hybrid solarwind energy generation system[J].Archives of Electrical Engineering,2017,66(2):50-57.
[14]张蕴昕,孙运全.混合储能在风光互补微网中的控制策略[J].电力系统保护与控制,2015,43(21):93-98.ZHANG Yunxin,SUN Yunquan.Control strategy of a hybrid energy storage in windsolar hybrid generation microgrid[J].Power System Protection and Control,2015,43(21):93-98.
[15]薛亚林,周建萍,崔屹.基于直流微电网的混合储能协调控制策略仿真研究[J].电机与控制应用,2017.44(8):19-25.XUE Yalin,ZHOU Jianping,CUI Yi.Simulation research oncoordinatedcontrolstrategyof hybridenergystorage based on DC microgrid[J].Electric Machines&Control Application,2017.44(8):19-25.
[16]李霞林,郭力,王成山,等.直流微电网关键技术研究综述[J].中国电机工程学报,2016,36(1):2-17.LI Xialin,GUO Li,WANG Chengshan,et al.Key technologies of DC microgrids[J].Proceedings of the CSEE,2016,36(1):2-17.
[17]黄頔,樊绍胜,吕志鹏,等.负荷用直流变换器的虚拟直流发电机控制策略研究[J].电力科学与工程,2015,31(4):32-36.HUANG Di,FAN Shaosheng,LYU Zhipeng,et al.Virtual DC generator control strategy for load DC/DC converter[J].Electric Power Science and Engineering,2015,31(4):32-36.
[18]盛万兴,刘海涛,曾正,等.一种基于虚拟电机控制的能量路由器[J].中国电机工程学报,2015,35(14):3541-3550.SHENG Wanxing,LIU Haitao,ZENG Zheng,et al.An energy hub based on virtual machine control[J].Proceedings of the CSEE,2015,35(14):3541-3550.
[19]JING Wenlong,LAI C H,WONG S H,et al.Batterysupercapacitor hybrid energy storage system in standalone DCmicrogrids:areview[J].IET Renewable Power Generation,2017,11(4):461-469.