摘要
根据C型阻尼滤波器可抑制低次谐波,具有高通滤波性能,且基波有功功率损耗几乎为0的特性,采用蚁群算法和Matlab语言,以最低成本为目标,优化配置设计了C型阻尼滤波器。仿真结果表明:最小投资下,优化配置的滤波方案可有效消除大部分5、7、11、13次谐波电流;C型阻尼滤波器可提供无功功率补偿,证明蚁群算法应用于电力系统优化设计可行,优化效果优于遗传算法。
Since type-C damped filter has the characteristics of restraining low order harmonic, high pass and almost zero-power loss in fundamental wave, optimization is done in order to solve the problems of harmonic and var compensation in high-voltage direct current transmission system. Based on the ant colony algorithms and MATLAB,simulation optimization concerning Type-C damped filter is made on the basis of minimal cost. On the prerequisite of minimal investment, the simulation result shows that the new design can effectively eliminate most of harmonic current of 5, 7, 11, 13 order respectively. At the same time, the Type-C damped filter can also provide var compensation. It is proved that the ant colony algorithms are practical in optimization design in electric power industry and the optimization effect is prior to genetic algorithms.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2005年第8期48-50,共3页
High Voltage Engineering
关键词
C型阻尼滤波器
高压直流输电
蚁群算法
优化配置
Type-C damped filter
HVDC transmission
ant colony algorithms
optimization design
