Architecture of the automated information system for monitoring and resources accounting

We solve the problem of minimization of material and time costs on scaling, deployment and expansion of functionality of the distributed automated information system for monitoring and resources accounting (hereinafter-the system), that have been created for experimental research of complicated transition processes in high-voltage circuits of power supply networks (to 25 kV). The solution of this task became possible by developing the new system architecture (software, technological and information support) and functional modules, considering the geographical distribution and heterogeneity of data channels and transmission technologies used to information exchange between the elements of the system. We explain the features of the new original architecture for systems of this class, considering the logical division into functional levels: measuring, intermediate storage and processing, data representation for users. We have developed mobile information and measuring complexes that allow making a research of continuous dynamic processes in high-voltage circuits using wireless technologies and independent power supplies. A set of solutions is proposed to provide modularity of the architecture for the rapid addition of new devices and functions using intermediate software environment that is actual for a changing infrastructure and variety of interfaces between the parts of the system. The architectural solutions offered in the paper provide a comprehensive analysis and evaluation of power losses due to suboptimal operation of electrical substations and electric rolling stock (high and low voltage, power flows between traction substations, losses in step-down transformers, voltage surges due to recuperation, etc.), as well as the formulating of recommendations for improving the energy efficiency of power supply systems. The system can be adapted to various enterprises needing the account of any production resources and technological parameters that can be synchronously measured in real time for research and operational decision-making.