Ab Shukor, Syahar Azalia and Abd Halim, Wahidah and Razi, Atikah and Mohd Radzi, Mohd Amran and Mailah, Nashiren Farzilah and Othman, Mohammad Lutfi (2024) An optimal tuning of PI controller for shunt active power filter based on PI-PSO approach. In: 2024 IEEE International Conference on Power and Energy (PECon), 4 November 2024 through 5 November 2024, Kuala Lumpur, Malaysia.
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An Optimal Tuning of PI Controller for Shunt Active Power Filter Based on PI-PSO Approach.pdf Restricted to Registered users only Download (643kB) |
Abstract
This paper presents an optimal tuning of a Proportional-Integral (PI) controller for a shunt active power filter (SAPF) using the Particle Swarm Optimization (PSO) approach for nonlinear load applications. The widespread use of power electronics in home, commercial, and industrial sectors introduces significant harmonic distortion, which degrades power quality and causes inefficiencies in electrical systems. Conventional PI controllers are commonly used for harmonic mitigation in SAPFs but suffer from suboptimal performance under varying load conditions due to difficulty in parameter tuning. This research is motivated by the need to enhance the performance of SAPFs and improve power quality by reducing harmonic distortion. By leveraging the PSO algorithm, the PI controller parameters are optimally tuned to improve SAPF performance. The proposed PI-PSO approach is evaluated through MATLAB/Simulink simulations, demonstrating a significant reduction in Total Harmonic Distortion (THD) from 22.06% without a filter to 3.66%, compared to 4.87% using conventional methods. These results highlight the effectiveness of the PI-PSO technique in achieving superior power quality, making it a promising solution for mitigating harmonics in systems with nonlinear loads.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Active filter, Control technique, Harmonic mitigation, Shunt Active Power filter (SAPF), VSI, Particle Swarm Optimization (PSO), PI-PSO, PI controller |
| Divisions: | Faculty Of Electrical Technology And Engineering |
| Depositing User: | NUR FARISAH JAFRIN |
| Date Deposited: | 21 Jul 2026 04:59 |
| Last Modified: | 21 Jul 2026 04:59 |
| URI: | http://eprints.utem.edu.my/id/eprint/29786 |
| Statistic Details: | View Download Statistic |
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