COMPOSITION OF THE OPTIMIZATION ECONOMIC-MATHEMATICAL MODEL OF COVERAGE OF ELECTRIC LOADING SCHEDULE UNDER THE CURRENT FUNCTIONING CONDITIONS

Abstract

The article deals with the peculiarities of the composition, the stages of its work and its specificity in the proposed and developed by the author the optimization economic-mathematical model of the coverage of the electric load schedule in order to assess the adequacy of generating capacities in the UES of Ukraine and provide further recommendations regarding the management of reserves.
A basis of the methodology are optimization methods of linear programming with a criterion for minimizing economic costs and the imposition of a number of economic, technical and technological constraints.
The toolkit for the study was Microsoft Excel and GNU MathProg Gusek application packages, based on which the author implemented an econometric model in the proposed composition as a program. As a result of the analysis of calculations made by the program for the retrospective period and comparing them with available statistical data on the balancing of power in the UES of Ukraine, it was possible to prove the feasibility of using the proposed econometric model for solving everyday practical tasks in the energy sector.
The author, by conducting calculations (using the developed program, algorithm and compositions of the economic-mathematical model) with their subsequent comparison with the actual statistical data on the schedule of covering the demand for electric energy in Ukraine proved the possibility and feasibility of using the proposed economic and mathematical model for the purpose of determining the optimal the composition of generating capacities in the UES of Ukraine for every hour of the day of the predicted schedule of electrical loads in the system, which, along with the traditional our power generation technologies include features of state-of-the-art technology such as compatible solar panels and batteries.
In further researches, the author considers the possibility of reducing the sampling interval of the economic-mathematical model, at least, to a half-hour interval, or to a 5-minute, due to the presence of events, the beginning and end of which often occur at the same time (in our case – on one hour), and therefore such phenomena remain outside the bounds of the considered economic-mathematical model, as well as a leap-like change in load due to the occurrence of emergency situations and the generation of SES and WEP, even under normal conditions.