中国电机工程学报Issue(36)：6380-6388,9.DOI:10.13334/j.0258-8013.pcsee.2014.36.002
模块化多电平换流器优化模型预测控制策略研究
Researches on Optimized Model Predictive Control for Modular Multilevel Converters
摘要
Abstract
With the attractive features of high efficiency, low harmonic, modularity and scalability, the Modular Multilevel Converter (MMC) is suitable for a wide range of high-voltage large-capacity applications. As an advanced control strategy, the Model Predictive Control (MPC) can control multiple variables through a cost function, which also has advantages of direct modeling and fast dynamic response performances. The conventional Model Predictive Control method for MMC is applied by calculating all the candidate switching states to achieve control objective optimization, which limits the application of MPC along with the submodule increasing. An Optimized Model Predictive Control (OMPC) was proposed to control the submodule voltages, ac currents, circulating currents and the switching frequency, meanwhile reducing the computation load from2NNC toN+1 forN+1 level MMC. In addition, as the number of the submodule increases to hundreds, the proposed Grouping-Sorting algorithm combined OMPC (GSOMPC) can further reduce the computation load fromN+1 to 2X+M+3(N=M×X) to eliminate the strict hardware requirements. Experiment results based on a 2.7kV/60kW of MMC with 23-level back-to-back dynamic test system verify the correctness and effectiveness of the OMPC and GSOMPC strategy.关键词
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Key words
modular multilevel converter (MMC)/model predictive control (MPC)/grouping-sorting algorithm/circulating-current/optimized switching frequency分类
信息技术与安全科学引用本文复制引用
刘普,王跃,丛武龙,雷万钧..模块化多电平换流器优化模型预测控制策略研究[J].中国电机工程学报,2014,(36):6380-6388,9.基金项目
国家863高技术基金项目(2012AA050206)。The National High Technology Research and Development of China 863 Program (2012AA050206) （2012AA050206）
