A simulation model for managing field service teams of a power grid company

Abstract

The lack of the necessary investment in the electric grid complex over the past 20 years has led to a significant physical and technological obsolescence of electrical networks. In this regard, the task of ensuring the reliability of the provision of services by electric grid companies with a minimum level of costs is urgent. The implementation of this task in many respects depends on the reduction of the duration of the interruption of power supply to consumers, which can be achieved by improving the process of management of duty personnel of field service teams in case of accidents and technological disturbances. At the same time, modern grid companies were focused on minimum economically sound costs and aimed at improving the efficiency of financial and economic activities through the rational use of resources. The structure of a simulation model of field service team management in the event of accidents and technological disturbances in an electric grid company at the middle level of system abstraction is proposed. The simulation model includes an agent model, a system dynamics model, a component of the geo information system and experiments modules. The description of the simulation model of field service team management in the event of accidents and technological disturbances is formalized, input and output information on the components of the model is selected, the information describing the agent model is structured, and a diagram of the system dynamics model is built. The adequacy of the simulation model was checked based on the statistics of Lenenergo PJSC. Experimental schemes have been developed for a simulation model of operational team management in the event of accidents and technological disturbances in order to determine the best reliability and cost indicators. The developed approach can be used to create multi-approach simulation models for the management of operational teams in the event of accidents and technological disturbances for various electric grid companies by selecting modes according to the statistical reports of the electric grid company and connecting the corresponding GIS modules.