Comparative Analysis of Adaptive PI Controller for Current Harmonic Mitigation

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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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Vishwakarma, A. P., & Singh, K. M. (2020). Comparative Analysis of Adaptive PI Controller for Current Harmonic Mitigation. In 2020 International Conference on Computational Performance Evaluation, ComPE 2020 (pp. 643–648). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ComPE49325.2020.9200057

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