KNESS Service has an automated process and generation control system – SCADA software. It takes and sends full data on the equipment status to the control center: on/ off status, current and voltage values, current and daily power output, and all electrical parameters influencing power generation that help assess whether SPP performance is optimal.
SCADA has a powerful analytic unit. The software automatically analysis differences in currents in inverters and warns about those differences. You can compare inverter generation charts for different days to pinpoint small flaws. All information collected is stored on the company's servers and, if necessary, may be viewed for any day of any year.
Then, the forecasting software. The operation of a solar power plant in the Guaranteed Buyer's balancing group is somewhat specific by its nature: a power plant's owner should advise day ahead about planned amount of power generation. In the case of renewable sources, namely, solar power plants, it is quite tricky to do, because you should account for many parameters: changes in weather conditions, seasonality, and equipment performance.
For this purpose, KNESS developed a special tool for forecasting the hourly generation of solar plants called PV Forecast. This product allows owners to save on regulating imbalances. The high- quality forecasts help bring those expenditures down to a minimum. PV Forecast contains several modules that collect and analyze forecasts of weather parameters allow to at the site where SPP is located, actual meteorologic parameters measured by the weather station, as well as service maintenance data, including the electric output of generating facilities. Obtained data are aggregated by artificial intelligence (AI) that forms a day-ahead SPP generation forecast.
The use of AI in PV Forecast ensures a minimal system error that is about 18-20% for a day-ahead forecast and 9-12% for the intraday forecasts.
An important element of IT is PV.METEO, a complex of weather monitoring. To assess performance of the solar power plant, information is collected from a set of meteorological sensors of solar radiation, temperature, humidity, and wind velocity.