Attribute saturation of the constructive-synthesizing model of the DC traction power supply system section

This article is one of three that collectively explore the solution to the problem of recu-perative energy distribution for its rational use. The solution is achieved through construc-tive-production modeling, and the fundamental principles of this approach are outlined. Building on the previous article, a general constructive-synthesizing model for the DC traction power supply section was introduced. This model tackles several challenges, includ-ing reducing electricity consumption in both railway and urban public electric transport sys-tems. Its core objectives involve identifying the availability and specifications of traction sub-station equipment and optimizing the use of recuperation energy. Furthermore, it can address other issues related to the design of traction power supply systems. An illustrative example of a linear power supply section layout with three substations is also presented. In the current article, additional attribute data of the constituent elements enriches the previously developed general constructive-production model of the DC traction power supply section. By interpreting the model through algorithmic constructor tools, various constructive systems can be formed. One such system is designed to randomly determine the attributes of electrical equipment and train scenarios from a set of potentially possible options. These al-ternatives are then evaluated by experts to inform decisions regarding the use of recuperation energy. Future development will focus on creating a fuzzy logic-based control system using this expert data. Another system is aimed at collecting real-world data on the state of electrical equipment and train scenarios to enable automated energy distribution management. The approach is exemplified by a developed scheme of a linear power supply section featuring three substations. The next article will show how the system for managing recuperation energy distribu-tion using fuzzy logic is constructed.