Research on the prospects of applying socio-demographic data for the analysis of demand management potential

Abstract

Today, the most developed countries are rapidly increasing the volume of electricity generation based on renewable energy sources, which primarily includes an increase in the share of generation at solar and wind power plants. The increase in the share of their generation leads to problems with maintaining the balance of generation and load. The reason for this is the stochastic nature of the generation of solar and wind power plants. There are a significant number of possibilities to compensate for this problem: maintaining the balance at the expense of existing conventional power plants with a high rate of power change, installation of energy storage at generation sites, shutting down some generation capacity at renewable energy sources, selling or buying energy in neighbouring countries, and demand management. This article focuses on demand management, specifically on the use of the concept of prosumers for this purpose. As process participants in electric power systems, solicitors are also capable of functioning in today's conventional electric systems, provided they gain additional market operations capabilities, but the benefits of the Smart Grid greatly enhance their effectiveness. We considered the potential of attracting Smart Grid players to align load schedules and maintain the balance of active power in the power system. For this purpose, we considered methods and tools for analysing the modes of operation of conventional consumers and solenoid meters. However, to obtain real consumption schedules of a residential area or even an individual house is a difficult task, which requires a significant amount of coordination and at the same time provides information only about individual facilities. That is why the analysis of the modes of operation of requestors is based on the study of load schedules of ordinary consumers based on the software for generating load schedules, taking into account the socio-demographic characteristics of households and international experience in demand management.