Quasi-dynamic Energy Complexes Optimal Use on the Forecasting Horizon

To be able to maintain a constant energy balance and ensure optimal use of available resources, modern power systems must be able to predict the demand and supply of electricity. Therefore, the power system needs to be able to manage the unpredictability associated with: weather, the active management of energy demand by consumers. The specific properties of energy systems dictate the requirements for mathematical models and methods. As, no only one absolute mathematical model of the power system or its main components can created, a variety of sets of mathematical models are needed, differentiated by management, goals and objectives, type and purpose of the system, level of detail. The problem of creating tabular tools—tables of sets of the optimal modes components for a separate energy node is considered. The use of such sets will ensure coverage of the predicted load schedule in real time without resorting to optimization calculations. A three-stage algorithm for calculating such tables proposed. At the first stage, the hourly cost of electricity generation for each of the list of technologies available for use calculations are made. Then, tables of comparative parameters compile, and the most profitable ones are selected. At the second stage, a forecast load schedule is generated, and a complete list of absolute and relative values of possible loads is calculated. Finally, at the third stage, the optimal modes of using the components of a separate energy node in the form of a table are calculated. The calculation results are presented.