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针对HVDC换流站谐波的无源滤波器多目标参数优化

Passive filters multi-objective parameter optimization for HVDC converter station harmonics

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【作者】 刘笑宇薛田良张磊张义豪

【Author】 LIU Xiaoyu;XUE Tianliang;ZHANG Lei;ZHANG Yihao;College of Electrical Engineering & New Energy, China Three Gorges University;

【通讯作者】 刘笑宇;

【机构】 三峡大学电气与新能源学院

【摘要】 高压直流(HVDC)输电系统换流器产生的谐波电流会影响交流系统的稳定性及直流输电效率。为降低谐波的影响,提出一种面向交流系统的多目标无源滤波器优化设计方法。首先基于电阻判别式约束的二阶高通滤波器设计,结合双调谐滤波器构建复合滤波器组,建立以投资成本、电流总谐波畸变率和总谐波因子为优化目标的数学模型;然后通过引入改进的多机制融合粒子群优化(ICAPSO)算法,采用自适应参数调节机制与混沌扰动策略有效提升算法的全局收敛性和优化效率;最后基于±500 kV HVDC系统,搭建Simulink仿真平台进行验证。结果表明,优化后的无源滤波器组不仅有效滤除了换流器谐波,还节约了成本,实现了滤波性能与投资成本之间的最佳平衡。

【Abstract】 The harmonic currents generated by the converters of high-voltage direct current(HVDC) transmission systems can affect the stability of the AC system and the efficiency of DC transmission. A multi-objective passive filter optimization design for the AC system is proposed to suppress these effects. A second-order high-pass filter based on resistance discriminant constraints is designed, a composite filter bank is constructed by combining with double-tuned filter, and a mathematical model with investment cost, total current harmonic distortion rate, and total harmonic factor as optimization objectives is constructed. An improved particle swarm optimization fusing inertial weight adaptive adjustment, chaos disturbance mechanism and adaptive mutation strategy(ICAPSO) algorithm is introduced, incorporating adaptive parameter adjustment mechanisms and chaotic perturbation strategies to effectively enhance the algorithm’s global convergence and optimization efficiency. Simulink simulation platform is constructed based on ±500 kV HVDC for the experimental verification. The results demonstrate that the optimized passive filter bank can effectively eliminate converter harmonics while reducing costs, achieving an optimal balance between filtering performance and investment cost.

【基金】 国家自然科学基金项目(62233006)
  • 【文献出处】 现代电子技术 ,Modern Electronic Technique , 编辑部邮箱 ,2026年02期
  • 【分类号】TM721.1
  • 【下载频次】46
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