摘要
提出一种基波磁势自平衡谐波抵消式串联有源电力滤波器(SAPF)的无源电力滤波器(PPF)优化设计方法。该滤波器只需要考虑变流器及二次侧所接的电感L和电容C所组成的基波谐振电路;采用粒子群优化算法(PSO)直接应用于求解连续变量优化问题,对于离散优化或混合整数的优化,仅需对每一代的微粒速度和位置作离散化处理。论述了PPF优化的数学模型、PSO求解PPF支路参数的实现流程。通过对基波磁势自平衡谐波抵消式SAPF的PPF的优化设计结果表明:滤波器投运后系统电流波形畸变率由24.4%下降到3.06%,功率因数由0.7提高到0.96。
An optimal PPF（Passive Power Filter） design is brought forward for the SAPF（Series Active Power Filter） based on fundamental magnetic potential self-balance and harmonic counteraction, which only considers the convertor and the LC fundamental resonance branch at its secondary side. The PSO（Particle Swarm Optimization） algorithm is used to directly optimize the continuous variables, while only the discretization of particle speed and position is needed for each generation in discrete optimization or mixed integer optimization. The mathematical model of PPF optimization is discussed and the flowchart of branch parameter calculation is provided. The optimal design of PPF shows that, with the designed filter, the system current distortion rate is decreased from 24.4% to 3.06% and the power factor is increased from 0. 7 to 0. 96.
出处
《电力自动化设备》
EI
CSCD
北大核心
2009年第5期99-103,共5页
Electric Power Automation Equipment
关键词
无源电力滤波器
优化设计
基波磁势自平衡
粒子群优化算法
谐波
有源电力滤波器
passive power filter
optimal design
fundamental magnetic potential self-balance
particle swarm optimization
harmonics
active power filter
