Optimize power using reconfiguration strategy for dynamic inhomogeneous illumination for SPV array with Stochastic Noise Suppression

Energy conversion of solar panel array is significantly affected by partial or complete shading, especially when the panel is exposed in the dynamic inhomogeneous illumination environment. This generated power not only depend on the light intensity falling on it but depends on the series-parallel connection of solar panels too. Natural light intensity is variable, depending on various environmental condition, power output is obtained which might or might not be as per desirability because of non-uniform illumination (NUI). To complete, the prospects, series-parallel connections of panels can be reconfigured with the help of sensor as per NUI pattern on the array which could generate desired output power based on same environmental conditions. Due to degradation, aging, and exposure, the performance of the sensor decreases, leading to weakening in proper functionality, an increase in the possible faults and failures. This may as well contribute to the occurrence of stochastic noise. However, these sensors still generate noise, just as any other dynamic system creating stochastic noise. Without imposing any special requirement for sensing equipment, the method introduced here employs the aspect that sensor evaluations portray the dynamic characteristics of the measured data. Thus, an adaptive bank of graded filters (ABoGF) algorithm is used to detect, estimate and suppress the sensor stochastic noise characteristic, which allows recognition of sensor stochastic noise, necessary to maintain sensors stability and performance.