基于粒子群算法的C型阻尼滤波器优化设计

针对高压直流输电系统中的谐波和无功补偿问题，根据C型阻尼滤波器既可抑制低次谐波，又具有高通滤波性能，并且基波有功功率损耗几乎为零的特性，采用粒子群算法和Matlab语言，以最低成本为目标，对C型阻尼滤波器进行了优化配置设计，仿真结果表明：在最小投资下，优化配置的滤波方案可以有效地消除5次、7次、11次和13次大部分谐波电流，同时C型阻尼滤波器还可提供无功功率补偿，从而证明了粒子群算法应用于电力系统优化设计的可行性。

Optimization Design of Type C Damped Filter Based on Particle Swarm Algorithms

Since typeC damped filter has the characteristics of restraining low times harmonic, high pass filter-performance and almost zero-power loss in fundamental wave, optimization was done in order to solve the problems of harmonic and var compensation in high-voltage direct current transmit system. By means of particle swarm algorithms and MATLAB, simulation optimization was made on type C damped filter on the basis of minimal cost.The simulation has shown that the new design can effectively eliminate most of harmonic current of 5,7,11,13 times respectively,with minimal investment.At the same time, the type C damped filter can provide var compensation. It has proved that particle swarm algorithms are practical in optimization design in electric power industry.