实时电感辨识的模型预测并网逆变器控制方法
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摘要
电能质量是光伏系统的重要性能指标,而逆变器的控制对其起着决定性作用。传统模型预测控制下的并网逆变器省去了脉冲宽度调制环节,一定程度上加快了系统动态响应速度,但前提是运行在精确的模型参数值下,当逆变电路的电感值受电压、电流的影响改变而导致模型失准时,其控制效果也会下降。针对该问题,提出一种实时电感辨识的模型预测控制方法,分析了电感模型与实际不匹配对预测电流误差的影响,并建立基于实际电流、电压采样值的电感辨识模型,同时加入延时补偿与参考值校正环节以保证电流预测值的准确性与输出开关状态的正确性。仿真与实验证明了改进方法能够对电感值进行实时准确跟踪,并有效降低了模型参数不匹配下的电流畸变率。
Power quality is an important performance index of photovoltaic system, and the control of inverter plays a decisive role in it. The single-phase photovoltaic grid-connected inverter under traditional model predictive control omits pulse width modulation, which accelerates the response speed to a certain extent, but the premise is to operate at exact model parameter values. When the inductance value of the inverter circuit is changed by the influence of voltage and current, the model is not punctual, and the control effect will be reduced. To solve this problem, a model predictive control method with real-time inductance identification was proposed. The influence of the mismatch between inductance model and practical inductance on the error of predictive current was analyzed, and an inductance identification model based on the sampling value of actual current and voltage was established. Meanwhile, the time delay compensation and the reference value correction links were added, which guaranted the accuracy of the predicted current and the correctness of the output switching state. Simulation and experiment prove that the improved method can track the inductance in real-time and accurately, and effectively reduce the current distortion rate under the mismatch of model parameter.
Power quality is an important performance index of photovoltaic system, and the control of inverter plays a decisive role in it. The single-phase photovoltaic grid-connected inverter under traditional model predictive control omits pulse width modulation, which accelerates the response speed to a certain extent, but the premise is to operate at exact model parameter values. When the inductance value of the inverter circuit is changed by the influence of voltage and current, the model is not punctual, and the control effect will be reduced. To solve this problem, a model predictive control method with real-time inductance identification was proposed. The influence of the mismatch between inductance model and practical inductance on the error of predictive current was analyzed, and an inductance identification model based on the sampling value of actual current and voltage was established. Meanwhile, the time delay compensation and the reference value correction links were added, which guaranted the accuracy of the predicted current and the correctness of the output switching state. Simulation and experiment prove that the improved method can track the inductance in real-time and accurately, and effectively reduce the current distortion rate under the mismatch of model parameter.
引文
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[17]Zahedi H,Markadeh G A,Boroojeni S T.An improved model predictive control of an inverter with LC filter[C]//Power Electronics,Drive Systems&Technologies Conference,Mashhad,2017:472-477.
[18]Chen Qihong,Luo Xiaorong,Zhang Liyan,et al.Model predictive control for three-phase four-leg grid-tied inverters[J].IEEE Access,2017,5:2834-2841.
[19]Yuan R,Cao X,Liu C.Current ripple reduction method based on model predictive control for single-phase gridtied inverter[C]//International Conference on Electrical Machines and Systems,Chiba,2016:1-6.
[20]Hoffmann N,Andresen M,Fuchs F W,et al.Variable sampling time finite control-set model predictive current control for voltage source inverters[C]//IEEE Energy Conversion Congress and Exposition,Raleigh,2012:2215-2222.
[21]Cortes P,Rodriguez J,Silva C,et al.Delay compensation in model predictive current control of a three-phase inverter[J].IEEE Transactions on Industrial Electronics,2012,59(2):1323-1325.
[22]Sebaaly F,Vahedi H,Kanaan H Y,et al.Finite control set model predictive controller for grid connected inverter design[C]//IEEE International Conference on Industrial Technology,Taipei,2016:1208-1213.
[23]Zhang Chun,Ma Qishuang,Cui Tongkai,et al.Modelpredictive current control of DC/AC inverters with time delay compensation[C]//IEEE International Conference on Aircraft Utility Systems,Beijing,2016:398-402.
[24]Bogado B,Barrero F,Arahal M R,et al.Sensitivity to electrical parameter variations of predictive current control in multiphase drives[C]//Annual Conference of the IEEE Industrial Electronics Society,Vienna,2013:5215-5220.
[25]Rodriguez J,Cortes P.Predictive control of power converters and electrical drives[J].Predictive Control of Power Converters&Electrical Drives,2010,6(4):1785-1786.
[26]Young H A,Perez M A,Rodriguez J.Analysis of finite-control-set model predictive current control with model parameter mismatch in a three-phase inverter[J].IEEE Transactions on Industrial Electronics,2016,63(5):3100-3107.
[27]Yang Y,Tan S C,Hui S Y R.Adaptive reference model predictive control with improved performance for voltage-source inverters[J].IEEE Transactions on Control Systems Technology,2018,26(2):724-731.
[2]余贻鑫,栾文鹏.智能电网述评[J].中国电机工程学报,2009,29(34):1-6.Yu Yixin,Luan Wenpeng.Smart grid and its implementations[J].Proceedings of the CSEE,2009,29(34):1-6.
[3]高长伟,刘晓明,陈海,等.光伏市电互补系统建模及其运行特性[J].电工技术学报,2017,32(5):200-207.Gao Changwei,Liu Xiaoming,Chen Hai,et al.Modelling and operation characteristics of photovoltaic-grid complementary system[J].Transactions of China Electrotechnical Society,2017,32(5):200-207.
[4]Yang Bo,Li Wuhua,Zhao Yi,et al.Design and analysis of a grid-connected photovoltaic power system[J].IEEE Transactions on Power Electronics,2010,25(4):992-1000.
[5]Blaabjerg F,Teodorescu R,Liserre M,et al.Overview of control and grid synchronization for distributed power generation systems[J].IEEE Transactions on Industrial Electronics,2006,53(5):1398-1409.
[6]蔡纪鹤,李蓓,张永春.基于SVPWM的光伏无功控制研究[J].电工技术学报,2016,31(24):233-239.Cai Jihe,Li Bei,Zhang Yongchun.Research on photovoltaic reactive power control based on SVPWM[J].Transactions of China Electrotechnical Society,2016,31(24):233-239.
[7]Wada K,Taguri K.Implementation of a highfrequency switching three-phase PWM inverter with separating heat sinks[J].IEEE Transactions on Industry Applications,2014,134(8):734-741.
[8]Teodorescu R,Blaabjerg F,Liserre M,et al.Proportional-resonant controllers and filters for gridconnected voltage-source converters[J].IEEE Proceedings of Electric Power Application,2006,153(5):750-762.
[9]卢闻州,周克亮,程明,等.PWM并网变换器多内模并联结构重复控制策略[J].电力系统保护与控制,2016,44(15):39-47.Lu Wenzhou,Zhou Keliang,Cheng Ming,et al.Parallel structure repetitive controller for PWM gridconnected converters[J].Power System Protection and Control,2016,44(15):39-47.
[10]Wu T F,Chang C H,Chen Y H,et al.A fuzzy-logiccontrolled single-stage converter for PV-powered lighting system applications[J].IEEE Transactions on Power Electronics,2000,47(2):287-296.
[11]Ton D D,Viet Q L,Choi Y S,et al.An adaptive voltage control strategy of three-phase inverter for stand-alone distributed generation systems[J].IEEE Transactions on Industrial Electronics,2013,60(12):5660-5672.
[12]Rodriguez J,Kazmierkowski M P,Espinoza J R,et al.State of the art of finite control set model predictive control in power electronics[J].IEEE Transactions on Industrial Informatics,2013,9(2):1003-1016.
[13]Hu Jiefeng,Zhu J,Dorrell D G.Model predictive control of grid-connected inverters for PV systems with flexible power regulation and switching frequency reduction[J].IEEE Transactions on Industry Applications,2015,51(1):587-594.
[14]Lopez D,Flores-Bahamonde F,Kouro S,et al.Predictive control of a single-stage boost DC-AC photovoltaic microinverter[C]//Annual Conference of the IEEE Industrial Electronics Society,Florence,2016:6746-6751.
[15]金楠,胡石阳,崔光照,等.光伏并网逆变器有限状态模型预测电流控制[J].中国电机工程学报,2015,35(增刊1):190-196.Jin Nan,Hu Shiyang,Cui Guangzhao,et al.Finite state model predictive current control of gridconnected inverters for PV systems[J].Proceedings of the CSEE,2015,35(S1):190-196.
[16]杨捷,顾冬冬,孙明浩,等.三相光伏并网逆变器多目标优化模型预测控制[J].电力系统保护与控制,2016,44(15):112-119.Yang Jie,Gu Dongdong,Sun Minghao,et al.Multiobjective optimization model-predictive control of PV grid-connected inverters[J].Power System Protection and Control,2016,44(15):112-119.
[17]Zahedi H,Markadeh G A,Boroojeni S T.An improved model predictive control of an inverter with LC filter[C]//Power Electronics,Drive Systems&Technologies Conference,Mashhad,2017:472-477.
[18]Chen Qihong,Luo Xiaorong,Zhang Liyan,et al.Model predictive control for three-phase four-leg grid-tied inverters[J].IEEE Access,2017,5:2834-2841.
[19]Yuan R,Cao X,Liu C.Current ripple reduction method based on model predictive control for single-phase gridtied inverter[C]//International Conference on Electrical Machines and Systems,Chiba,2016:1-6.
[20]Hoffmann N,Andresen M,Fuchs F W,et al.Variable sampling time finite control-set model predictive current control for voltage source inverters[C]//IEEE Energy Conversion Congress and Exposition,Raleigh,2012:2215-2222.
[21]Cortes P,Rodriguez J,Silva C,et al.Delay compensation in model predictive current control of a three-phase inverter[J].IEEE Transactions on Industrial Electronics,2012,59(2):1323-1325.
[22]Sebaaly F,Vahedi H,Kanaan H Y,et al.Finite control set model predictive controller for grid connected inverter design[C]//IEEE International Conference on Industrial Technology,Taipei,2016:1208-1213.
[23]Zhang Chun,Ma Qishuang,Cui Tongkai,et al.Modelpredictive current control of DC/AC inverters with time delay compensation[C]//IEEE International Conference on Aircraft Utility Systems,Beijing,2016:398-402.
[24]Bogado B,Barrero F,Arahal M R,et al.Sensitivity to electrical parameter variations of predictive current control in multiphase drives[C]//Annual Conference of the IEEE Industrial Electronics Society,Vienna,2013:5215-5220.
[25]Rodriguez J,Cortes P.Predictive control of power converters and electrical drives[J].Predictive Control of Power Converters&Electrical Drives,2010,6(4):1785-1786.
[26]Young H A,Perez M A,Rodriguez J.Analysis of finite-control-set model predictive current control with model parameter mismatch in a three-phase inverter[J].IEEE Transactions on Industrial Electronics,2016,63(5):3100-3107.
[27]Yang Y,Tan S C,Hui S Y R.Adaptive reference model predictive control with improved performance for voltage-source inverters[J].IEEE Transactions on Control Systems Technology,2018,26(2):724-731.