基于改进粒子群算法的逆变器谐波抑制研究  

HARMONICS ELIMINATION IN A INVERTER BASED ON IMPROVED PSO

作　　者：吴铁洲[1] 何东晨 曾艺师[1] 吴笑民 

机构地区：[1]湖北工业大学太阳能高效利用湖北省协同创新中心,武汉430068

出　　处：《太阳能学报》2016年第3期765-771,共7页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(51247004);湖北工业大学2012年博士启动基金(BSQD12018)

摘　　要：通过分析多电平逆变器中谐波消除问题,建立基于粒子群优化算法(PSO)的选择谐波消除脉宽调制(SHE-PWM)目标方程,并对其进行求解。通过在粒子群算法中增加惯性权重参数的符号函数,并改变随机数在速度更新方程中的位置,得到改进的粒子群算法,避免求解时"早熟"或陷入局部最优解,进而得到更为准确的解集。通过实验仿真将改进的粒子群算法与标准粒子群算法及遗传算法进行比较,实验结果表明,采用改进粒子群算法使指定低次谐波的含量趋近于零,进而使逆变器输出中的总谐波含量明显降低。总谐波含量与标准粒子群算法相比降低2.12%,与遗传算法相比降低了3.06%。实验表明改进的PS0方法对于求解SHE-PWM方程组的有效性。This paper analyzes the harmonic elimination of selective harmonic elimination pulse width modulation solve them. By increasing symbolic function of inertia position of the random number in the speed update ＂premature＂ or fall into local optimal solution, so it problem of multilevel inverter, and creates the target equations （SHE-PWM） based on particle swarm optimization （PSO） and weight parameter in particle swarm algorithm, and changing equation.The improved particle swarm algorithm can avoid could get a more accurate solution set. In simulations and experiments, the result of improved PSO and standard PSO and genetic algorithm are compared to verify that by using improved PSO the content of selected low-order harmonics approaches zero. The Total Harmonic Distortion （THD） of output voltage decreased dramatically in the inverter. The THD compared with the standard particle swarm algorithm reduces by 2.12% , compared with the genetic algorithm reduces by 3.06%. Experimental results demonstrate the effectiveness of the improved PSO in solving SHE-PWM equations.

关 键 词：逆变器 谐波 粒子群算法 选择谐波消除脉宽调制 

分 类 号：TM464[电气工程—电器]