Comparative Analysis of Adaptive PI Controller for Current Harmonic Mitigation

Anish Pratap Vishwakarma, Ksh. Milan Singh
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引用次数: 5

Abstract

The proposed technique employs Shunt Active Power Filter (SAPF) and controller optimization technique through Ant Colony Optimization (ACO) algorithm to reduce current harmonics that appeared in the presence of non-linear loads. Non-linear load devices such as Adjustable Speed Drive (ASD), furnaces, modern power Electronics etc. cause unbound harmonics during their operation. To mitigate the harmonic components, Synchronous Reference Frame Theory (SRFT) is introduced in the controlled circuit to generate gate pulses to the SAPF, and consequently inject equal and opposite harmonics magnitude to the system. The controller parameters are optimized using the ACO algorithm. The comparison analysis shows better performance compared with existing algorithms such as conventional PI controller, Genetic Algorithm (GA), and Eagle Perching (EP).
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自适应PI控制器对电流谐波抑制的比较分析
该技术采用并联有源电力滤波器(SAPF)和蚁群优化(ACO)算法的控制器优化技术来降低非线性负载下出现的电流谐波。非线性负载设备,如可调速驱动器(ASD)、熔炉、现代电力电子设备等,在其运行过程中会产生非约束谐波。为了减轻谐波分量,在控制电路中引入同步参考框架理论(SRFT),为SAPF产生门脉冲,从而向系统注入相等和相反的谐波量。采用蚁群算法对控制器参数进行优化。对比分析表明,与传统PI控制器、遗传算法(GA)和Eagle Perching (EP)等现有算法相比,该算法具有更好的性能。
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