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模块化多电平换流器优化模型预测控制策略研究

DOI: 10.13334/j.0258-8013.pcsee.2014.36.002, PP. 6380-6388

Keywords: 模块化多电平换流器,模型预测控制,分组排序,环流,开关频率优化

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Abstract:

模块化多电平换流器(modularmultilevelconverter,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(modelpredictivecontrol,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-sortingalgorithmcombinedOMPC,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2.7kV/60kW23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(optimizedmodelpredictivecontrol,OMPC)及GSOMPC策略的正确性与有效性。

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