MONITORING THE EFFICIENCY OF ACTIVITIES RELATED TO THE FORMATION OF SMART GRIDS BASED ON AN INTEGRATED QUALITY INDICATOR

The current level of electrification necessitates higher standards for electricity supply quality, highlighting the importance of the efficient organization, operation, and management of electricity systems. Addressing these challenges has become more complex with the increased integration of renewable energy sources (RES). This is particularly relevant for distribution power grids, which, due to their structural characteristics, are generally not adapted to accommodate fluctuating energy sources owing to insufficient network automation. This paper presents an approach based on an integral metric to evaluate the readiness of power grids to meet specific electricity supply requirements. The proposed metric is derived from an analysis of electricity supply quality within the context of accelerated RES development and power grid characteristics critical to quality performance. Such a metric is valuable for forming general strategies and solutions for grid development, particularly with respect to RES integration and the intellectualization of power systems. The integral indicator components are expressed as the probability that the operational mode aligns with an 'ideal' mode. This «Ideal» mode is determined using the least-impact principle and corresponds to a substitute network scheme based on the rscheme, thereby reducing subjectivity in assessments and subsequent decision-making.It is demonstrated that this approach to defining the integral indicator of power grid performance quality enables not only an assessment of current grid readiness but also consideration of specific consumer preferences in design decisions. The methodology outlined here details a progression from relative performance evaluations of grid components to cost assessments, ultimately allowing for technical and economic analyses. This approach facilitates targeted planning for measures aimed at improving grid performance quality and the reliability of power supply to consumers.