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Документ Electricity demand management as a supplement to distributed generation(2023) Pantielieieva, Iryna; Glushko, Alyona; Shmatko, NataliiaToday, the energy industry is undergoing a radical transformation, the main engine of which is technological innovations, which provide opportunities for the transition to a fundamentally new stage of development. In recent years, there have been changes that forced a rethinking of the requirements for generation facilities, network infrastructure and, in general, the organization of the electricity industry and electricity markets. The increasing wear and tear of equipment, the involvement of distributed energy resources, the change in the role of traditional sources of energy and heat carriers, the growth of demand for electricity and the transformation of its quality characteristics, the change in the behavior of consumers - all this requires the study of the factors of the spread of new technologies in electricity for the transition to the next energy system. Therefore, the modern concept of the development of the electric power industry envisages increasing the active role of electricity consumers. The consumer moves away from the position of «passive» consumption and gets the opportunity to actively change his load with the help of his own (distributed) generation or demand management measures. The article analyzes the possibility of accounting for distributed generation and demand management when planning the development of electric power systems. The method of their joint examination with the help of a «virtual power plant» is described.Документ Identification of Parameters of Electrical Signals in Order to Control Energy Facilities(2021) Pantielieieva, Iryna; Shmatko, Nataliia; Oliinyk, Yuliia; Glushko, AlyonaMethods of statistical estimation of signal parameters are generalized. The errors of correlation estimates, which are caused by the non-integer number of half-periods of the analyzed signal, are analyzed. The application of correlation functions to solve the problem of increasing the accuracy of estimates of the phase shift and the amplitude of the electrical signal over a limited time interval is presented. The information on development of correlation functions for the decision of problems of fast estimation of the increased accuracy of a phase shift and amplitude of an electric signal changing sinusoidally, industrial frequency on a time interval making a part of its period is presented. The practical check of accuracy and fast action of algorithms is given.