Optimizing performance of dense-array concentrator photovoltaic system

Abstract

To optimize performance of dense array concentrator photovoltaic (CPV) system, we have acquired real time flux distribution pattern using novel optical scanner and then fed the data to computational modeling algorithm for the sake of designing optimized configuration of dense-array layout. As a case study, a prototype of non-imaging planar concentrator (NIPC) capable of producing reasonable uniform solar irradiance has been constructed to verify our new methodology in optimizing performance of CPV system. Current mismatch effect in dense array solar cells is crucial drawback that greatly affects electrical performance of CPV systems due to non-uniformity of solar irradiance. It always happens to any solar concentrator including NIPC prototype in which the non-uniformity is usually attributed to solar disc effect, slope error of reflective surface, structure misalignment, sun-tracking error etc. Improper handling of current mismatch problem can reduce maximum output power of the array considerably if a current-voltage (I-V) curve has many mismatch steps which will subsequently lead to low fill factor (FF) as well as conversion efficiency. Our computational modeling method is also validated via the work of field testing on the optimized configuration of dense-array solar cells with the NIPC prototype. The measured results are found to be in close agreement with the simulated results using the computational modeling in maximum output power.