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MMC-HVDC系统主设备参数的非线性规划设计方法
引用本文: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
作者姓名:李佩霖  赵成勇  郭春义  李探  黄莹  赵晓斌  李凌飞  辛清明
作者单位:新能源电力系统国家重点实验室(华北电力大学), 北京市 102206,新能源电力系统国家重点实验室(华北电力大学), 北京市 102206,新能源电力系统国家重点实验室(华北电力大学), 北京市 102206,新能源电力系统国家重点实验室(华北电力大学), 北京市 102206,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,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,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,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
基金项目:国家自然科学基金资助项目(51507060);中央高校基本科研业务费专项资金资助项目(2016MS07)
摘    要:模块化多电平换流器(MMC)已成为柔性直流输电系统的主流拓扑结构,其主设备参数的设计对系统的投资和运行性能具有决定性作用。基于模块化多电平换流器的高压直流输电(MMCHVDC)系统关键主设备参数包括联接变压器二次侧额定电压、变压器漏抗、桥臂电抗、子模块电容等,单个主设备参数的独立设计忽略了不同设备多个参数之间的耦合特性。文中构建了不同设备多个参数设计的约束方程组和目标函数,并提出了基于非线性规划法对MMC-HVDC系统主设备参数设计的整体算法,该整体算法综合考虑多个参数和不同设备设计原则之间的耦合特性,从而达到可靠的优化设计结果。最后针对某MMC-HVDC系统工程进行了参数优化设计,基于PSCAD/EMTDC的计算和仿真结果基本吻合,验证了所提算法的有效性。

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
收稿时间:2016-09-09
修稿时间:2017-04-24

Nonlinear Programming Design Method of Main Equipment Parameter for MMC-HVDC System
LI Peilin,ZHAO Chengyong,GUO Chunyi,LI Tan,HUANG Ying,ZHAO Xiaobin,LI Lingfei and XIN Qingming. Nonlinear Programming Design Method of Main Equipment Parameter for MMC-HVDC System[J]. Automation of Electric Power Systems, 2017, 41(12): 161-167
Authors:LI Peilin  ZHAO Chengyong  GUO Chunyi  LI Tan  HUANG Ying  ZHAO Xiaobin  LI Lingfei  XIN Qingming
Affiliation:State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University), Beijing 102206, China,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University), Beijing 102206, China,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University), Beijing 102206, China,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University), Beijing 102206, China,State Key Laboratory of HVDC(Electric Power Research Institute, China Southern Power Grid Company Limited), Guangzhou 510080, China,State Key Laboratory of HVDC(Electric Power Research Institute, China Southern Power Grid Company Limited), Guangzhou 510080, China,State Key Laboratory of HVDC(Electric Power Research Institute, China Southern Power Grid Company Limited), Guangzhou 510080, China and State Key Laboratory of HVDC(Electric Power Research Institute, China Southern Power Grid Company Limited), Guangzhou 510080, China
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. This work is supported by National Natural Science Foundation of China(No. 51507060)and Fundamental Research Funds for the Central Universities(No. 2016MS07).
Keywords:modular multilevel converter(MMC)   high voltage direct current transmission   parameter design   nonlinear programming
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