首页> 外文期刊>IEEE Transactions on Energy Conversion >Combining Detailed Equivalent Model With Switching-Function-Based Average Value Model for Fast and Accurate Simulation of MMCs
【24h】

Combining Detailed Equivalent Model With Switching-Function-Based Average Value Model for Fast and Accurate Simulation of MMCs

机译:将详细的等效模型与基于交换功能的平均值模型相结合,以便快速准确地模拟MMCS

获取原文
获取原文并翻译 | 示例

摘要

Modeling and simulation play a vital role in the design and testing of modular multilevel converter (MMC) high voltage direct current (HVDC) systems. Detailed equivalent model (DEM) and switching-function-based average value model (SFB-AVM) are two major types of accurate and efficient models to represent the dynamic response of the MMCs. However, the DEM and the SFB-AVM possess unique benefits depending on the purpose of the simulation studies. The DEM provides a detailed representation of submodule (SM) switching events and individual capacitor ripples. The SFB-AVM provides faster simulation speed by using arm equivalent capacitance. Combining both models in a universal arm equivalent circuit gives the users the choice of selecting the most appropriate modeling method during dynamic simulation. This paper proposes a universal modeling framework combining the DEM with the SFB-AVM which allows the DEM and the SFB-AVM smoothly switch from one to the other during dynamic simulation. The proposed SFB-AVM can accurately represent the MMCs with different SM types. The proposed models are validated in offline and real-time simulation studies which demonstrate the improved simulation speeds of the proposed SFB-AVM over the DEM especially for large numbers of SMs.
机译:建模与仿真在模块化多电平转换器(MMC)高压直流(HVDC)系统的设计和测试中起着重要作用。详细的等效模型(DEM)和基于切换功能的平均值模型(SFB-AVM)是两种主要类型的准确和高效模型,以表示MMC的动态响应。然而,DEM和SFB-AVM根据模拟研究的目的具有独特的好处。 DEM提供子模块(SM)切换事件和单个电容器纹波的详细表示。 SFB-AVM通过使用ARM等效电容提供更快的模拟速度。组合在通用臂等效电路中的两个模型使用户可以选择在动态仿真期间选择最合适的建模方法。本文提出了一种通用建模框架,将DEM与SFB-AVM相结合,允许DEM和SFB-AVM在动态模拟期间平滑地切换一个到另一个。所提出的SFB-AVM可以准确地表示具有不同SM类型的MMC。拟议的模型在离线和实时仿真研究中验证,该研究展示了在DEM上提高了所提出的SFB-AVM的模拟速度,特别是对于大量的SMS。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号