A novel hybrid three-phase seven-level converter is proposed in the paper.Each phase consists of a four-level bridge and a two-level H bridge,which contains ten switching devices and a floating capacitor.The circuit s...A novel hybrid three-phase seven-level converter is proposed in the paper.Each phase consists of a four-level bridge and a two-level H bridge,which contains ten switching devices and a floating capacitor.The circuit structure is introduced and working principle of the converter containing 14 commutation paths is analyzed,which is easy to control the floating capacitor voltage.In order to drive permanent magnet synchronous motor(PMSM)with the proposed converter,model predictive control(MPC)strategy is adopted.The control objectives such as controlling the currents of PMSM and capacitor voltages balancing are included in a cost function with two weight factors,which can control the currents of PMSM and balance the capacitor voltages simultaneously.To validate the proposed control scheme,simulations in two cases are carried out by using Matlab/Simulink software.Finally,the feasibility and efficiency in two cases are verified with the experimental test bench based on RT_LAB.展开更多
为降低间接矩阵变换器-异步电机调速系统采样电路成本,简化换流过程并提高转换效率,提出一种新型的基于输入电压观测的零电流换流-模型预测控制(zero current commutation model predictive control,ZCC-MPC)方法。利用输入LC滤波器模...为降低间接矩阵变换器-异步电机调速系统采样电路成本,简化换流过程并提高转换效率,提出一种新型的基于输入电压观测的零电流换流-模型预测控制(zero current commutation model predictive control,ZCC-MPC)方法。利用输入LC滤波器模型设计的输入电压观测器代替传统三块输入电压采样调理电路,并且,在每个采样周期内采用逆变器级固定占空比的开关状态组合,保证了整流级换流过程直流母线电流为零,简单两步换流替代传统复杂四步换流。仿真和实验结果均可表明,基于输入电压观测的零电流换流-模型预测控制方法可实现系统输入输出电流波形良好正弦,电机动静态性能良好,网侧功率因数为1,同时降低了硬件成本,IMC换流过程更加可靠。展开更多
Multi-port converters are considered as exceeding earlier period decade owing to function in a combination of different energy sources in a single processing unit.Renewable energy sources are playing a significant rol...Multi-port converters are considered as exceeding earlier period decade owing to function in a combination of different energy sources in a single processing unit.Renewable energy sources are playing a significant role in the modern energy system with rapid development.In renewable sources like fuel combustion and solar energy,the generated voltages change due to their environmental changes.To develop energy resources,electric power generation involved huge awareness.The power and output voltages are plays important role in our work but it not considered in the existing system.For considering the power and voltage,Gaussian PI Controller-Maxpooling Deep Convolutional Neural Network Classifier(GPIC-MDCNNC)Model is introduced for the grid-connected renewable energy system.The input information is collected from two input sources.After that,input layer transfer information to hidden layer 1 fuzzy PI is employed for controlling voltage in GPIC-MDCNNC Model.Hidden layer 1 is transferred to hidden layer 2.Gaussian activation is employed for determining the output voltage with help of the controller.At last,the output layer offers the last value in GPIC-MDCNNC Model.The designed method was confirmed using one and multiple sources by stable and unpredictable input voltages.GPIC-MDCNNC Model increases the performance of grid-connected renewable energy systems by enhanced voltage value compared with state-of-the-art works.The control technique using GPIC-MDCNNC Model increases the dynamics of hybrid energy systems connected to the grid.展开更多
模块化多电平换流器(modular multilevel converter,MMC)是高压直流输电(high voltage direct current,HVDC)系统中最具潜力的拓扑结构之一。针对MMC中存在的直流侧电容电压平衡及桥臂间的环流问题,提出了一种基于重复控制原理的模型预...模块化多电平换流器(modular multilevel converter,MMC)是高压直流输电(high voltage direct current,HVDC)系统中最具潜力的拓扑结构之一。针对MMC中存在的直流侧电容电压平衡及桥臂间的环流问题,提出了一种基于重复控制原理的模型预测控制策略,通过求解一个最优化问题,得到每个MMC单元中最佳的开关状态,来抑制循环电流,并实现MMC单元的电容电压平衡。最后,在Matlab/Simulink中对五电平背靠背MMC-HVDC的重复预测控制进行性能评估。仿真结果表明,基于重复预测控制策略的MMC-HVDC系统运行更理想,实现过程容易且简单。展开更多
基金This work is supported by the National Key R&D Program Projects of China(No.2018YFB0104600)and the New Energy Vehicle Industry Technology Innovation Project of Anhui Province(Development of core process equipment for intelligent manufacturing of new energy vehicle driving motor).
文摘A novel hybrid three-phase seven-level converter is proposed in the paper.Each phase consists of a four-level bridge and a two-level H bridge,which contains ten switching devices and a floating capacitor.The circuit structure is introduced and working principle of the converter containing 14 commutation paths is analyzed,which is easy to control the floating capacitor voltage.In order to drive permanent magnet synchronous motor(PMSM)with the proposed converter,model predictive control(MPC)strategy is adopted.The control objectives such as controlling the currents of PMSM and capacitor voltages balancing are included in a cost function with two weight factors,which can control the currents of PMSM and balance the capacitor voltages simultaneously.To validate the proposed control scheme,simulations in two cases are carried out by using Matlab/Simulink software.Finally,the feasibility and efficiency in two cases are verified with the experimental test bench based on RT_LAB.
文摘为降低间接矩阵变换器-异步电机调速系统采样电路成本,简化换流过程并提高转换效率,提出一种新型的基于输入电压观测的零电流换流-模型预测控制(zero current commutation model predictive control,ZCC-MPC)方法。利用输入LC滤波器模型设计的输入电压观测器代替传统三块输入电压采样调理电路,并且,在每个采样周期内采用逆变器级固定占空比的开关状态组合,保证了整流级换流过程直流母线电流为零,简单两步换流替代传统复杂四步换流。仿真和实验结果均可表明,基于输入电压观测的零电流换流-模型预测控制方法可实现系统输入输出电流波形良好正弦,电机动静态性能良好,网侧功率因数为1,同时降低了硬件成本,IMC换流过程更加可靠。
文摘Multi-port converters are considered as exceeding earlier period decade owing to function in a combination of different energy sources in a single processing unit.Renewable energy sources are playing a significant role in the modern energy system with rapid development.In renewable sources like fuel combustion and solar energy,the generated voltages change due to their environmental changes.To develop energy resources,electric power generation involved huge awareness.The power and output voltages are plays important role in our work but it not considered in the existing system.For considering the power and voltage,Gaussian PI Controller-Maxpooling Deep Convolutional Neural Network Classifier(GPIC-MDCNNC)Model is introduced for the grid-connected renewable energy system.The input information is collected from two input sources.After that,input layer transfer information to hidden layer 1 fuzzy PI is employed for controlling voltage in GPIC-MDCNNC Model.Hidden layer 1 is transferred to hidden layer 2.Gaussian activation is employed for determining the output voltage with help of the controller.At last,the output layer offers the last value in GPIC-MDCNNC Model.The designed method was confirmed using one and multiple sources by stable and unpredictable input voltages.GPIC-MDCNNC Model increases the performance of grid-connected renewable energy systems by enhanced voltage value compared with state-of-the-art works.The control technique using GPIC-MDCNNC Model increases the dynamics of hybrid energy systems connected to the grid.
文摘模块化多电平换流器(modular multilevel converter,MMC)具有效率高、谐波小、模块化设计、易级联等优点,在高压大容量电能变换领域得到了日益广泛的应用。作为一种先进的控制策略,模型预测控制(model predictive control,MPC)通过目标函数可同时控制多个系统变量,具有建模直观、动态响应快等优点。传统MMC模型预测控制通过计算所有开关状态组合以实现最优控制目标,但随着桥臂模块数量的增多,计算量将呈几何级数增长,严重制约MPC的工程推广应用。针对N+1电平MMC,提出一种优化的模型预测控制算法,在对子模块电压、交流电流、相间环流、器件开关频率有效控制的同时,将开关状态组合计算量从C N2N降至N+1。针对子模块数高达数百的MMC,进一步提出分组排序优化模型预测控制(grouping-sorting algorithm combined OMPC,GSOMPC)策略,在降低桥臂子模块电压整体排序对硬件资源苛刻需求的同时,将开关状态组合计算量从N+1降至2X+M+3(N=M×X)。基于2.7 k V/60 k W 23电平MMC背靠背动模实验平台的实验结果证明了所提优化模型预测控制(optimized model predictive control,OMPC)及GSOMPC策略的正确性与有效性。
文摘模块化多电平换流器(modular multilevel converter,MMC)是高压直流输电(high voltage direct current,HVDC)系统中最具潜力的拓扑结构之一。针对MMC中存在的直流侧电容电压平衡及桥臂间的环流问题,提出了一种基于重复控制原理的模型预测控制策略,通过求解一个最优化问题,得到每个MMC单元中最佳的开关状态,来抑制循环电流,并实现MMC单元的电容电压平衡。最后,在Matlab/Simulink中对五电平背靠背MMC-HVDC的重复预测控制进行性能评估。仿真结果表明,基于重复预测控制策略的MMC-HVDC系统运行更理想,实现过程容易且简单。
