Application of the cybernetic approach to price-dependent demand response for underground mining enterprise electricity consumption

Journal of Mining Institute. 2024. No. 261. P. 403–414.

Nikolaev A., Vöth S., Aleksei V. Kychkin

The article considers a cybernetic model for the price-dependent demand response (DR) consumed by an underground mining enterprise (UGME), in particular, the main fan unit (MFU). A scheme of the model for managing the energy consumption of a MFU in the DR mode and the implementation of the cybernetic approach to the DR based on the IoT platform are proposed. The main functional requirements and the algorithm of the platform operation are described, the interaction of the platform with the UGME digital model simulator, on which the processes associated with the implementation of the technological process of ventilation and electricity demand response will be simulated in advance, is shown. The results of modeling the reduction in the load on the MFU of a mining enterprise for the day ahead are given. The presented solution makes it possible to determine in advance the necessary power consumption for the operation of the main power supply unit, manage its operation in an energy-saving mode and take into account the predicted changes in the planned one (e.g., when men hoisting along an air shaft) and unscheduled (e.g., when changing outdoor air parameters) modes. The results of the study can be used to reduce the cost of UGME without compromising the safety of technological processes, both through the implementation of energy-saving technical, technological or other measures, and with the participation of enterprises in the DR market. The proposed model ensures a guaranteed receipt of financial compensation for the UGME due to a reasonable change in the power consumption profile of the MFU during the hours of high demand for electricity, set by the system operator of the Unified Energy System.

Keywords: кибернетический подход, системная архитектура, Demand Response, system architecture, цифровой двойник, краткосрочное прогнозирование нагрузки, платформа Интернета вещей, Internet of Things platform, cybernetic approach, short-term load forecasting, underground mining enterprise, Digital twin, управление спросом на электроэнергию, подземное горнодобывающее предприятие