三相虚拟磁链观测并网逆变器预测技术
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TM464

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上海市科技创新行动计划(19DZ1205402)


Three-phase virtual flux linkage observation grid-connected inverter prediction technology
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    摘要:

    传统三相并网逆变器模型系统的分析,通常采用基于虚拟电网磁链的定向控制策略,在有效减少系统额外成本的同时,还能提高系统运行可靠性。但在分析传统不加补偿的磁链观测时,存在因相角偏移易引起系统误差的问题。为此,提出加LPF补偿的磁链观测器模型方案,研究电容、电网电压观测器新设计方法,并与无差拍预测电流控制算法相结合,对传统无差拍控制进行深入研究,研究发现存在一定程度的控制延时问题。因此,进一步提出一种改进型的无差拍电流预测控制,增加预测k+2时刻采样电流,提高抗扰动性能。最后,对三相无交流电压传感器电压估计策略与改进型无差拍预测电流控制算法相结合进行实验验证,实验结果可验证所提控制策略的有效性与可行性。

    Abstract:

    When analyzing the traditional three-phase grid-connected inverter model system, it is found that the use of a control strategy based on the orientation of the flux linkage of the virtual grid can effectively reduce the additional cost of the system and greatly improve the operation reliability of the system. However, when analyzing the traditional flux linkage observation without compensation, the phase angle offset problem is likely to cause system errors. In order to solve the problem, the flux linkage observer model scheme with LPF compensation is proposed in this paper, and the new design of capacitor voltage observer and grid voltage observer is studied. Combined with the deadbeat predictive current control algorithm, the traditional deadbeat control has been deeply studied, and it is found that there is a certain degree of control delay. An improved deadbeat current predictive control is proposed for improvement, and increase the sampling current at the time of prediction k+2 to make the anti-disturbance performance better. Finially, the experiments of the three-phase without AC voltage sensor estimation strategy combined with the improved deadbeat predictive current control algorithm is carried out, and the experimental results verify the effectiveness of the proposed strategy.

    参考文献
    [1] 郭磊磊,郑铭哲,李琰琰,等.三相LCL并网逆变器无参数滑模预测控制策略[J].电力系统保护与控制,2022,50(18):72-82.GUO Leilei,ZHENG Mingzhe,LI Yanyan,et al.Nonparametric sliding mode predictive control strategy for a three-phase LCL grid-connected inverter[J].Power System Protection & Control,2022,50(18):72-82.
    [2] MUKHERJEE S,CHOWDHURY V R,SHAMSI P,et al.Grid voltage estimation and current control of a single-phase grid-connected converter without grid voltage sensor[J].IEEE Transactions on Power Electronics,2018,33(5):4407-4418.
    [3] 吉培荣,刘超,张赟宁,等.基于虚拟磁链的PWM整流器模糊自适应反推控制[J].电网与清洁能源,2021,37(9):27-33+44.JI Peirong,LIU Chao,ZHANG Yunning,et al.Fuzzy adaptive backstepping control of PWM rectifiers based on virtual flux linkage[J].Power System and Clean Energy,2021,37(9):27-33+44.
    [4] MUKHERJEE S,CHOWDHURY V R,SHAMSI P,et al.Model reference adaptive control based estimation of equivalent resistance and reactance in grid-connected inverters[J].IEEE Transactions on Energy Conversion,2017,32(4):1407-1417.
    [5] 李艳丽,王辉.一种抑制PWM逆变器电流纹波的变开关频率调制方法[J].电测与仪表,2021,58(2):190-195.LI Yanli,WANG Hui.Variable switching frequency modulation method for suppressing current ripple of PWM inverter[J].Electrical Measurement & Instrumentation,2021,58(2):190-195.
    [6] 杨坤,宋文祥.一种LCL滤波三相整流器的无传感器有源阻尼控制方法[J].微电机,2019,52(8):48-54.YANG Kun,SONG Wenxiang.A sensor-less active damping control method for three-phase rectifier with LCL filter[J].Micromotors,2019,52(8):48-54.
    [7] 匡珍春,谢仕义,温雯.基于虚拟磁链的光伏并网逆变器同步方法[J].太阳能学报,2017,38(5):1176-1183.KUANG Zhenchun,XIE Shiyi,WEN Wen.Study on grid-connected PV inverter for grid synchronization based on virtual flux[J].Acta Energiae Solaris Sinica,2017,38(05):1176-1183.
    [8] 卞蓓蕾,宋振浩,吕志鹏,等.一种新型拓扑的三电平变换器及其损耗分析[J].供用电,2022,39(4):2-10.BIAN Beilei,SONG Zhenhao,L Zhipeng,et al.A new topology of three-level converter and analysis of losses calculation[J].Distribution & Utilization,2022,39(4):2-10.
    [9] 彭勃.PWM整流器中自适应虚拟电网磁链观测器研究[J].变频器世界,2016(5):48-52.PENG Bo.Research on virtual line-flux-linkage observer with an adaptive compensation in PWM rectifier[J].The World of Inverters,2016(5):48-52.
    [10] 查雨欣,林健,张树龙,等.基于转子动能的直驱式风电系统RoCoF下垂控制策略[J].智慧电力,2022,50(4):21-26+34.ZHA Yuxin,LIN Jian,ZHANG Shulong,et al.RoCoF droop control strategy for direct-drive wind power system based on rotor kinetic energy[J].Smart Power,2022,50(4):21-26+34.
    [11] REZNIK A,SIMES M G,MEMBER S,et al.LCL filter design and performance analysis for grid-interconnected systems[J].IEEE Transactions on Industry Applications,2014,50(2):1225-1232.
    [12] 邵峰,杨晋霞.基于电压电平的MMC模型预测控制[J].电力科学与技术学报,2020,35(2):12-21.SHAO Feng,YANG Jinxia.Model predictive control of modular multilevel converter based on voltage level[J].Journal of Electric Power Science and Technology,2020,35(2):12-21.
    [13] 张帆,高本锋,李铁成.基于SVG的光伏并网SSO附加阻尼抑制策略[J].中国电力,2021,54(12):11-19+44.ZHANG Fan,GAO Benfeng,LI Tiecheng.SVG based supplementary damping mitigation strategy for sub-synchronous oscillation in grid-connected photovoltaic plants[J].Electric Power,2021,54(12):11-19+44.
    [14] 张树楠,罗海云,程晓绚,等.基于双dq变换正负序提取及锁相环的FPGA实现[J].高压电器,2020,56(3):182-189.ZHANG Shunan,LUO Haiyun,CHENG Xiaoxuan,et al.Realization of positive & negative sequence component picking up and phase locked loop using FPGA based on dual-dq transform[J].High Voltage Apparatus,2020,56(3):182-189.
    [15] 肖力元,张伊洁,李云涛.三相并网逆变器无差拍双闭环控制方法[J].浙江电力,2019,38(4):28-33.XIAO Liyuan,ZHANG Yijie,LI Yuntao.Three-phase grid-connected inverter deadbeat double closed-loop control[J].Zhejiang Electric Power,2019,38(4):28-33.
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荆江平,余小婵,刘元.三相虚拟磁链观测并网逆变器预测技术[J].电力科学与技术学报,2022,37(6):157-164.
JING Jiangping, YU Xiaochan, LIU Yuan. Three-phase virtual flux linkage observation grid-connected inverter prediction technology[J]. Journal of Electric Power Science and Technology,2022,37(6):157-164.

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  • 在线发布日期: 2023-01-16
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