INTELLIGENT SYSTEM FOR AUTOMATIC REGULATION OF WATER LEVEL IN A HPP RESERVOIR

The article presents a system for automatically controlling the water level in a hydroelectric power station reservoir, taking into account the inflow and outflow of water. The inflow and outflow of water resources is measured using sensors. According to the rules for the operation of hydraulic structures, it is necessary to maintain a certain water level in the reservoir of a hydroelectric power station. Exceeding the forced headwater level (FLU) can lead to water overflowing the dam, and a drop in the water level below a certain value negatively affects the operation of the hydroelectric power station. When the maximum water level is exceeded, a spillway is carried out using a gate with a drive. The main problem of maintaining the water level in the reservoir over a long period is the optimal distribution of water resources, namely for electricity generation, water supply for housing and communal services and industrial enterprises, agriculture, maintaining the environment and fisheries and other needs. To control the automatic system, it is necessary to predict reservoir water level. Therefore, to solve this problem, it is proposed to use an artificial neural network (ANN).