PV based Shunt Active Harmonic Filter for Power Quality improvement

Mishra, Ankit; Chauhan, Sushil; Karuppanan, P.; Suryavanshi, Manmath

doi:10.1109/icccis51004.2021.9397214

Cited by 3 publications

(1 citation statement)

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“…The VOLUME 10, 2022 universal APF system enhances voltage and current quality by combining both shunt and series APF introduced in [32]. To improve power quality, a PV-based SAPF system with a Perturb and Observe MPPT controller and a non-linear load is connected [33]. Fuzzy PSO strategy with a PV fed SAPF to improve power quality and provide clean electricity [34].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigations on Particle Swarm Optimization Based Control Algorithm for Shunt Active Power Filter to Enhance Electric Power Quality

et al. 2022

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Quality power is a very important factor for the proper functioning of appliances and can be enhanced using shunt active power filters (SAPF). This work demonstrates the hardware implementation of synchronous reference frame (SRF) theory based SAPF. This paper presents the technique of particle swarm optimization (PSO) to tune the gain values of the SAPF PI controller to control the voltage of the DClink and enhance its dynamic efficiency. The estimation of gain values of PI controllers using conventional methods does not yield the expected outcomes under varying load conditions. The PSO tuned controller provides better results as compared to traditional tuning methods. The switching scheme is implemented using hysteresis controller to control the SAPF. The main objectives of this approach are to extract the compensating currents and cancel out the harmonics produced by balanced, unbalanced and nonlinear loads. The planned scheme is designed and implemented in MATLAB/Simulink and then its performance on a developed laboratory prototype is validated experimentally.INDEX TERMS Harmonic mitigation, hysteresis current controller, particle swarm optimization, PI controller, power quality shunt active power filter, synchronous reference frame theory. NOMENCLATURE ADALINE Adaptive Linear Neuron. ADC Analog to Digital Converter. ANN Artificial Neural Network. CDC DC-link Capacitor. C f Ripple Filter Capacitor. d n Switching Function. DAC Digital to Analog Converter. DSTATCOM Distribution Static Compensator. e Error. FLC Fuzzy Logic Control. FPGA Field Programmable Gate Array. g n Switching Function i c Compensating Current.

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Section: Introductionmentioning

confidence: 99%