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具有较低复杂度和开关频率的MMC混合排序均压算法

赵成勇 熊岩 徐义良 许建中 姬煜轲 刘航

电力系统自动化2017,Vol.41Issue(15):136-142,7.
电力系统自动化2017,Vol.41Issue(15):136-142,7.DOI:10.7500/AEPS20161205009

具有较低复杂度和开关频率的MMC混合排序均压算法

Hybrid Sorting Algorithm with Low Complexity and Switching Frequency for Capacitor Voltage Balanced Control of Modular Multilevel Converter

赵成勇 1熊岩 2徐义良 1许建中 1姬煜轲 2刘航1

作者信息

  • 1. 新能源电力系统国家重点实验室(华北电力大学), 北京市 102206
  • 2. 直流输电技术国家重点实验室(南方电网科学研究院有限责任公司), 广东省广州市 510080
  • 折叠

摘要

Abstract

The modular multilevel converter (MMC) is applied in the DC transmission system all over the world,while the capacitor voltage balanced control strategy stands out for its difficulty and complexity.This paper presents a sorting algorithm based on a comparison between two groups,called the OF sorting algorithm.The maximum time complexity of the method is N-1,but the algorithm is unlikely to be practical because of its limited range of application.Therefore,a new hybrid sorting algorithm for capacitor voltage balanced control of MMC is proposed to reduce the time complexity and device switching frequency.The effectiveness of the proposed algorithm under various conditions is verified based on the Xiamen MMC-HVDC project.The time complexity of the new hybrid sorting algorithm is 1.45N,which is better than that of other existing MMC sorting methods for about half reducing the switching frequency compared with the traditional bubble sorting method.

关键词

模块化多电平换流器/最近电平逼近调制/电容电压均衡/分组排序法/时间复杂度

Key words

modular multilevel converter (MMC)/nearest level modulation (NLM)/capacitor voltage balanced/group sorting/time complexity

引用本文复制引用

赵成勇,熊岩,徐义良,许建中,姬煜轲,刘航..具有较低复杂度和开关频率的MMC混合排序均压算法[J].电力系统自动化,2017,41(15):136-142,7.

基金项目

中央高校基本科研业务费专项资金资助项目(2016MS07) (2016MS07)

国家重点研发计划资助项目(2016YFB0900903) (2016YFB0900903)

国家自然科学基金资助项目(51607065).This work is supported by Fundamental Research Funds for the Central Universities (No.2016MS07),National Key Research and Development Program of China (No.2016YFB0900903),and National Natural Science Foundation of China (No.51607065). (51607065)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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