Abstract

A statistical analysis was performed of the electrical load curve according to which the Novocherkassk District Power Plant (NсhGRES) operated in the period between 2009 and 2018. The effect of weather and climatic factors, such as daylight time, ambient air temperature, and wind strength, on the electrical load was examined. Climatic components of the NсhGRES electric load were estimated, and it has been demonstrated that the additional lighting load depending on the daylight time in Rostov oblast was as great as 35.4%, the seasonal heating load was up to 11.3%, and the seasonal cooling load was up to 20.2% of the normal baseload. It is shown that the basic heating load in Rostov oblast is carried by centralized and individual heat supply systems, and electric heating appliances are activated when the centralized heat supply systems cannot cover the heating load due to poor maneuverability. The heating component of the electric load depends not only on the ambient air temperature but also on the wind velocity. A formula was derived using the fuzzy logic technique for calculating heat consumption in a heating system depending on ambient air temperature and wind speed. It is noted that high wind speed aggravates the negative temperature factor, bringing about the need to turn on additional heating appliances and, thereby, increasing the electrical load. A fundamental change in the shape of the annual electric load curve within the studied period was revealed: the appearance of the summer maximum load whose amplitude in terms of the indicators approached the winter one and even exceeded it in certain years, which can be attributed to the climate change in the region of the power plant site and the advent of a new type of electrical equipment, i.e., climatic control cooling units. The maximum monthly power consumption of cooling units is 1.8 times the maximum monthly power consumption of heating units and 1.7 times less than the maximum additional monthly power consumption of lighting facilities. The maximum power consumption for each type of equipment occurs in different months of the year. This change is a stable trend that should be considered, in particular, in scheduling maintenance activities at the power plant.

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