Abstract
The manuscript proposes a Particle swarm optimization (PSO)-based shunt active filter (SAF) approach for power quality (PQ) improvement by eliminating the harmonics. To selective eliminate the harmonics, the detailed model and operation of three-phase 4-leg-based SAF is proposed by considering the neutral current. The proposed inverter is operated by using improved instantaneous power theory (IPT) and the pulses of the inverter are generated by using the hysteresis band controller (HBC). In the proposed approach, to extract the appropriate fundamental component and controlling the dc-link voltage (Vdc) of SAF, an artificial intelligence (AI) technique termed as particle swarm optimization (PSO)-based Proportional integral (PI) controller (PI-PSO) is implemented. The optimal performance of the proposed model is tested by using MATLAB software. To justify the versatility of the proposed approach, PI-PSO-based SAF outcomes are related to differential evolution (DE) optimization technique.
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Sahoo, B., Routray, S.K., Rout, P.K. (2021). Robust Control and Inverter Approach for Power Quality Improvement. In: Sharma, R., Mishra, M., Nayak, J., Naik, B., Pelusi, D. (eds) Green Technology for Smart City and Society. Lecture Notes in Networks and Systems, vol 151. Springer, Singapore. https://doi.org/10.1007/978-981-15-8218-9_12
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DOI: https://doi.org/10.1007/978-981-15-8218-9_12
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