DIGITAL TRANSFORMATION OF DECISION-MAKING IN THE NATIONAL ELECTRICITY GRID OF UZBEKISTAN

Abstract

This study focuses on the computer simulation modeling of the national electricity grid of Uzbekistan. The
operation of the electricity grid was simulated using a hybrid simulation model, in which each region was considered as
an individual agent integrated into a stochastic model, while the energy supply to the agents was designed using a system
dynamics approach. Input data modeling revealed that electricity supply and consumption patterns across regions and
different months are characterized by various probability distribution types depending on the nature of the observed data.
The developed hybrid simulation model made it possible to analyze potential developments of Uzbekistan’s national
electricity supply system by considering several strategic energy projects, including the introduction of additional
hydroelectric power generation, photovoltaic power stations, and nuclear power plants, as well as increases in industrial
electricity demand, electric vehicle consumption, and population growth. The findings demonstrate that the integration of
green energy (GE) reduces CO₂ emissions from conventional power plants (PPs), particularly when energy losses within
the electricity grid are reduced simultaneously.