Reduced partial shading effect in multiple PV array configuration model using MPPT based enhanced particle swarm optimization technique

Abstract

The depletion of energy resources are increased day by day, which is the main environmental problem for today's world. Recent development uses solar energy because the photovoltaic cost is less. Nowadays, solar systems reduce the global energy demand using various novel techniques and configurations. However, multiple peaks in the power characteristics curve develop the partial shading effect in the PV array. The main objective of this proposed method is to reduce the multiple peaks in the output power characteristics and reduce the drawback in array configurations since it increases the overall system efficiency. The conventional method uses series, parallel, series to parallel, Total-Cross-Tied, Sudoku pattern and bridge linked PV configurations. All these technique effectively carried out the partial shading of PV array. In this proposed model, the reduced partial shading effect is configured through multiple PV array configurations like series, parallel, TCT, bridge linked and series-parallel. Here with enhanced PSO based MPPT technique is used to optimize the power shading effect in the PV array configurations. Here the PV cells are arranged by PV configuration model and the PV array is developed with various irradiances for knowing the effect of partial shades. The Maximum Power Point Tracking System is used to reduce the multiple peaks in the power curve with enhanced PSO technique. Based on the multiple PV array configurations, the power, voltage and current is measured and the maximum power point is tracked to provide the maximum power range. This PV array configuration is optimized by artificial bee colony algorithm. Here in the MPPT, the PI controller utilizes the controller block and PSO is used to optimize the global and local best possible values. By comparing with the conventional method, the proposed method achieves the result of output voltage, current, power and MPP power peaks. As per the experimental result, the series and series-parallel topology achieves the result upto 90% of circuitry than existing approach. The overall system is done by using MATLAB/Simulink with the adaptation of 2018a.