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适用于全桥MMC等效模型的线性排序均压算法
引用本文:高晨祥,赵禹辰,常彬,刘栋,赵成勇,许建中. 适用于全桥MMC等效模型的线性排序均压算法[J]. 华北电力大学学报(自然科学版), 2020, 47(1): 24-32. DOI: 10.3969/j.ISSN.1007-2691.2020.01.04
作者姓名:高晨祥  赵禹辰  常彬  刘栋  赵成勇  许建中
作者单位:华北电力大学新能源电力系统国家重点实验室,北京102206,华北电力大学新能源电力系统国家重点实验室,北京102206,全球能源互联网研究院有限公司,北京102209,全球能源互联网研究院有限公司,北京102209,华北电力大学新能源电力系统国家重点实验室,北京102206,华北电力大学新能源电力系统国家重点实验室,北京102206
摘    要:模块化多电平换流器(modular multilevel converter,MMC)已在直流电网和新能源汇集等领域发挥重要作用。随着直流电网的发展,全桥MMC在直流故障穿越中起到了非常重要的作用,而已有的MMC等效模型在仿真超高电平MMC多端直流电网时,受排序算法复杂度的影响,仿真效率依然较低。有文献基于开关器件关断电阻无穷大并采用后退欧拉法,针对一种理想型的全桥型MMC等效模型提出了一种线性排序算法。本文以快速嵌套同时求解法为基础,证明了在梯形积分和后退欧拉电容离散化方法下,全桥子模块中关断电阻为实际值时该排序算法依然适用,并将该证明方法拓展到了对半桥型MMC戴维南等效模型线性排序算法的证明中。通过更具一般性的证明分析了该线性排序算法的本质机理,指出该算法分组的依据并分析了该算法对基于其他拓扑的MMC戴维南等效模型的适用性及其优缺点。

关 键 词:模块化多电平换流器  线性排序算法  全桥MMC  戴维南等效模型  后退欧拉法  梯形积分法

Linear Ranking Algorithm for Full-bridge MMC Equivalent Models
GAO Chenxiang,ZHAO Yuchen,CHANG Bin,LIU Dong,ZHAO Chengyong,XU Jianzhong. Linear Ranking Algorithm for Full-bridge MMC Equivalent Models[J]. Journal of North China Electric Power University, 2020, 47(1): 24-32. DOI: 10.3969/j.ISSN.1007-2691.2020.01.04
Authors:GAO Chenxiang  ZHAO Yuchen  CHANG Bin  LIU Dong  ZHAO Chengyong  XU Jianzhong
Affiliation:(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China;Global Energy Interconnection Research Institute Co.,Ltd.,Beijing 102209,China)
Abstract:Modular multilevel converter(MMC) has been applied worldwide to build the high-voltage direct current(HVDC) grid with renewable power integration. With the development of the DC grid, full-bridge MMC gains increasing attention. However, current MMC equivalent models are still low in efficiency while simulating the MMCs with high voltage levels-based DC grids due to the complexity of ranking algorithm. Previous research proposed a linear ranking algorithm for MMC based on full-bridge sub-module(FBSM) by adopting the turn-off resistance of the IGBT switches of ideal zero conductance and backward Euler method. This paper theoretically proves that in different integration methods, the linear ranking algorithm is also valid with the typical two-value switches used in the FBSM based MMC models on the basis of nested fast and simultaneous solution. The method can also be used to prove MMC model based on half bridge sub-module(HBSM). In addition, this paper also analyzes the essential principle of the linear ranking algorithm and points out the grouping principle of the algorithm. Moreover, this paper analyzes the advantages and disadvantages and applicability of the ranking algorithm.
Keywords:modular multi-level converter(MMC)  linear ranking algorithms  full-bridge MMC  Thévenin equivalent model  backward Euler rule  trapezoidal rule(TR)
本文献已被 CNKI 维普 万方数据 等数据库收录!
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