ABSTRACT
This paper is a sequel of a paper with the same title published at ESREL 2012. In season 1, we had given a definition of PDMP and compared two tools (KB3 and Vensim) that enabled us to solve a simple PDMP test case: a heating system with continuous and discrete state variables, deterministic and stochastic behavior. Here, we take the same example, but we solve it with two other tools: Dymola (based on the Modelica modeling language) and PyCATSHOO, a new tool developed at EDF and specifically designed for the analysis of PDMP. We conclude the paper with a comparison of the four tools in terms of user-friendliness, modeling power of the associated languages, time needed to build the model, precision and efficiency of the calculations and long term perspectives.
