Methodical Approaches for Modeling Power System Transformation Scenarios Based on Mixed Integer Linear Programming

The chapter considers the issues of structural transformation of power systems in the context of transition to a low-carbon economy using optimization mathematical models. To solve this complex problem, a methodological approach is proposed that combines simulation scenarios for the development of the power system structure and searching for the optimal composition and operating modes of power units for the formed structure options based on mixed integer linear programming model. The considered methodology was used to model scenarios for the transformation of the Integrated Power System of Ukraine in the context of post-war economic recovery, which take into account the losses suffered by the power system as a result of russian aggression. Four scenarios of forecasts for the restoration and development of the structure of generating capacities were formed and annual electricity balances were calculated for each of them. The obtained results allow analyzing changes in the structure of electricity generation in the national power system in the future, as well as exploring ways to improve the balance reliability and flexibility of the power system in the context of a significant increase in electricity production and capacitiy of wind and solar power plants. It is proposed to use electric heat generators as regulating consumers in addition to the introduction and use of electricity storage. This will help to solve the problem of the shortage of maneuverable capacities in the system and the surplus of excess electricity from renewable energy sources.