Abstract
The primary focus of this work is on developing a particle swarm optimisation (PSO)-based PI controller for a three-phase inverter-based active power filter with the intention of lowering harmonic distortion. In this project, inverter-based AF, namely shunt active power filter (SAPF), is used to mitigate the harmonics triggered by nonlinear loads/unbalanced loads in the source voltage and current by injecting the compensating currents. In order to reduce the severity of the harmonics and restore supply balance, the SAPF is recommended. For the suggested filter, the DC- link voltage is self-regulated using a PI controller, and its parameters are tweaked and improved with an intelligent approach called particle swarm optimisation (PSO). When it comes to nonlinear optimisation issues, PSO is one of the most popular solutions. The triggering pulses for the IGBT in the inverter are generated by a hysteresis current regulator, which is also a part of the system.
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Dhulsingh, G., Lakshmi Swarupa, M. (2024). Power Quality Enhancement with PSO-Based Optimisation of PI-Based Controller for Active Power Filter. In: Gunjan, V.K., Kumar, A., Zurada, J.M., Singh, S.N. (eds) Computational Intelligence in Machine Learning. ICCIML 2022. Lecture Notes in Electrical Engineering, vol 1106. Springer, Singapore. https://doi.org/10.1007/978-981-99-7954-7_9
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