The concept of managing the network structure of intelligent devices in the digital transformation of the energy industry
Annotation
A modern electric power system is a complex organizational structure that coordinates its intelligent components through the definition of roles, communication channels and powers. The management system of intelligent components of the electric power system should ensure the consistency of their work at technological stages of generation, transport, distribution and consumption of electric energy, while achieving the targets and reducing the value of resource consumption. The disadvantage of the process management system that is currently used in electric power systems is that the hierarchical management structure is applied to the network topology. Thus, there is a conflict of resources and processes of generation, transport, distribution and consumption of electricity. The authors propose a concept of a distributed resource and process management system in electric power systems using digital twin technology. The electrical power system is modeled as a polystructural one. The concepts of the system of polystructure indicators, the metric system of polystructure, the body of polystructure are used. Representation of electric power system components and technological processes of generation, transport, distribution and consumption by means of digital twin technology makes it possible to exclude conflicts of resources and processes in the electric power system while maintaining the requirements for reliability and safety of the system. Digital twin technology, as applied to polystructured systems, provides the developers of distributed management systems with a methodology for creating a modern management system, where the production of management decisions does not lead to conflicts between the components of the power system. The proposed distributed management system is built as a polystructure, the body of which ensures the consistency of technological processes, equipment resources and electricity consumption.
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