International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), 2016
ABSTRACT: In this paper p-q theory is used as control technique for active filter which minimizes the lower order harmonics in the power system. This method improves the supply side current quality. The control strategy uses the PI controller for controlling the DC link voltage in the system. The PI controller parameters are selected generally with intuitive method of PI tuning. Iteratively it is identified that PI parameters highly affect in the THD of the system input current. So there is a need of optimal selection of parameters of the PI controller. In this method Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used for selection of optimal parameters for PI controller.
- Active Filters
- Genetic Algorithm
- Optimisation Techniques
- P-q theory
- Particle Swarm Optimisation
Fig.1 Simulink model of shunt active filter
EXPECTED SIMULATION RESULTS
Fig.2 current waveform for before compensation
Fig.3 source voltage and source current after compensation for GA
Fig. 4 compensation current and pulses produced by controller
Fig.5 source voltage and source current after compensation for
Fig.6 compensation current and pulses produced by controller for PSO
The shunt active filter is designed with the optimization algorithms to tune the parameters of PI controllers. The values are selected optimally by using the GA and PSO algorithm. GA requires more converging time compared to PSO due to many operations. PSO converges with lesser THD compared with GA where the number population also less compared to GA. So PSO delivers the best results compared to GA and implementation also simple..
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