Non-linear devices draw non-sinusoidal currents from the source; hence, they cause harmonic distortions in power systems. The shunt active power filter (SAPF) is a well-known method for alleviating current harmonics, compensating the reactive power and improving the power factor; however, the effective design of an SAPF is quite challenging and a thrust area of research. The current controlling technique, switching pulse generation technique and parameter selection are cumbersome tasks in SAPF design. SAPF performance depends on the proper selection of many parameters, such as filter interfacing impedance, DC-link capacitor and PI-controller gains. The effect of these parameters on the performance of SAPF has been studied and optimum values have been obtained by using the Taguchi method. This paper also indicates the benefits of using the Taguchi method compared with existing genetic algorithm (GA) for optimizing the parameters of the SAPF. An instantaneous reactive power theory (IRPT)-based SAPF has been modeled and simulated in MATLAB/Simulink. The SAPF’s parameters have been optimized by using the both proposed Taguchi SNR and the existing GA method. With optimized values of parameters results have been obtained, analyzed and the superiority of the proposed Taguchi method over the existing GA method is discussed. The simulation results were also validated with experimental results.
In this article, a better optimization method known as the Taguchi method is implemented for optimizing the designing parameters of PV integrated Shunt Active power filter (SAPF). The effect of these parameters on the performance of SAPF is also studied with the help of this method. This paper also signifies the benefits of using the Taguchi method for optimization over the existing particle swarm optimization (PSO) algorithm. SAPF is a very popular device for power quality improvement through harmonics compensation. In non-conventional energy sources, solar is most widely used dues to its cost-effectiveness over other sources. Hence, PV integrated SAPF is considered for study for this article. Incremental conductance (IncCond) based maximum power point tracking (MPPT) technique is used to extract the maximum power from PV panel. Performance of this PV Integrated SAPF depends on many factors like reference current generation techniques, switching pulse generation technique and selection of SAPF designing parameters, etc. To get the optimum performance from SAPF, designing parameters like gains of PI-controller, coupling impedance, and dc-link capacitor need to be optimized. PV integrated SAPF is modeled and simulated in Matlab/Simulink. SAPF parameters are optimized by using both the proposed Taguchi method and the existing PSO algorithm and their results are analyzed. Simulation results are also verified using a laboratory-developed experimental setup.
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