摘要
选取合适的开关角迭代初值是模块化多电平变换器(MMC)阶梯波调制方法实现的关键。为此提出一种基于粒子群优化(PSO)算法的阶梯波调制策略。该策略采用PSO算法得到优化的开关角初值,再运用牛顿迭代法快速计算出开关角的精确解。所提出的方法辅以电容电压排序平衡策略可以有效地解决子模块电容电压均衡问题,具有低复杂度和开关频率的优点。以三相五电平MMC系统为例,搭建了低压物理模型的验证平台。仿真和实验结果证明了所提方法的正确性和可行性。
The selection of appropriate iterative initial switching angles is the essential step of staircase modulation for MMC（Modular Multilevel Converter） and a staircase modulation scheme is proposed,which applies the PSO（Particle Swarm Optimization） algorithm to achieve the optimized initial switching angles and the Newton iteration method to calculate the exact switching angles.Combined with the sorting balance strategy,it effectively balances the sub-module capacitor voltage with low complexity and switching frequency.As an example,a low-voltage verification platform is developed for a physical model of threephase five-level MMC system.Simulative and experimental results demonstrate the correctness and feasibility of the proposed scheme.
出处
《电力自动化设备》
EI
CSCD
北大核心
2014年第4期78-83,89,共7页
Electric Power Automation Equipment
关键词
可再生能源
模块化多电平变换器
阶梯波调制
电容电压均衡
粒子群优化
牛顿迭代法
renewable energy
modular multilevel converter
staircase modulation
capacitor voltage balancing
particle swarm optimization
Newton iteration method
