First generation photovoltaics have made significant progress and are nearing their maximum potential. This has largely been accomplished because the materials are well understood, allowing present simulation tools, such as AMPS, wxAMPS, SCAPS, AFORS-HET, and ADEPT to describe their behaviors well. In more complicated materials, the device may physically change during use, as debated concerning CIGS metastabilities, making it difficult to model and design. Even more troublesome are organic photovoltaics that exhibit highly dispersive transport and critical sensitivity to interface recombination and charge transport. The fixed nature of the present photovoltaic simulation tools provides limited insight into experimental results. This paper describes a new software tool based on a stochastic approach to improve modeling of these complex devices.