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MMC-HVDC系统主设备参数的非线性规划设计方法

李佩霖 赵成勇 郭春义 李探 黄莹 赵晓斌 李凌飞 辛清明

电力系统自动化2017,Vol.41Issue(12):161-167,7.
电力系统自动化2017,Vol.41Issue(12):161-167,7.DOI:10.7500/AEPS20160909004

MMC-HVDC系统主设备参数的非线性规划设计方法

Nonlinear Programming Design Method of Main Equipment Parameter for MMC-HVDC System

李佩霖 1赵成勇 1郭春义 1李探 1黄莹 2赵晓斌 2李凌飞 2辛清明2

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 being widely-used as the main topology of the voltage source converter based high voltage direct current transmission (VSC-HVDC) projects.The design of the main equipment parameters is of decisive significance, which is related to the investment and operation performance of the system.The main equipment parameters include the rated valve side no-load voltage of the coupling transformer, the leakage reactance of the coupling transformer, the arm inductance and the sub-module capacitance.Independent design of a single parameter leads to the neglect of the coupling characteristics between multiple parameters of different equipment.In this paper, the objective function and constraint equations are designed with an eye to multiple parameters of different equipment.And a nonlinear programming method is proposed to calculate these parameters.The nonlinear programming method takes into consideration the coupling characteristics between multiple parameters of different equipment.The integral algorithm proposed is implemented in the design of a MMC-HVDC project.Time-domain simulation studies based on PSCAD/EMTDC are performed to show that the calculation and simulation results with the method are basically consistent.

关键词

模块化多电平换流器/高压直流输电/参数设计/非线性规划

Key words

modular multilevel converter (MMC)/high voltage direct current transmission/parameter design/nonlinear programming

引用本文复制引用

李佩霖,赵成勇,郭春义,李探,黄莹,赵晓斌,李凌飞,辛清明..MMC-HVDC系统主设备参数的非线性规划设计方法[J].电力系统自动化,2017,41(12):161-167,7.

基金项目

国家自然科学基金资助项目(51507060) (51507060)

中央高校基本科研业务费专项资金资助项目(2016MS07).This work is supported by National Natural Science Foundation of China (No.51507060) and Fundamental Research Funds for the Central Universities (No.2016MS07). (2016MS07)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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