INVESTIGATION OF THE EFFICIENCY OF OPERATION OF A CENTRAL TYPE INVERTER AT AN INDUSTRIAL SOLAR POWER PLANT

• Datum: 2019
• Автори та афіліації: M Bordakov — Institute of Renewable Energy of the National Academy of Sciences of Ukraine 02094, 20А Hnata Khotkevycha Str., Kyiv.
• Ключові слова: keywords
• 1. Verfasser: Bordakov, M
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: Institute of Renewable Energy National Academy of Sciences of Ukraine 2019
• Schlagworte: efficiency; solar power; load; voltage; inverter; current.
• Online Zugang: https://ve.org.ua/index.php/journal/article/view/214
• Назва журналу: Vidnovluvana energetika

When calculating a solar power plant, the efficiency of the inverters is taken in accordance with the efficiency curve provided by the manufacturer. This calculation is usually done in PV Syst software. The inverter manufacturer provides a special file that contains all the inverter specifications. This article examines the inverter's performance under real-world operating conditions. With the entry into force of the Law on the Electricity Market, the owners of industrial SES must submit a forecast of SES operation. The development of the forecasting model uses the efficiency of all components of the SES. As in the real world, the performance is different from that stated by the manufacture, the accuracy of the forecast is reduced. Therefore, before starting the development of the model of forecasting of the SES, it is necessary to examine the efficiency of all its components. One of the main components of the SES is the inverter. The efficiency of its operation depends on the following factors: voltage on solar panels, current from the PV, voltage in the power supply network, cooling system, and the internal design of the inverter. In this work, FES is selected where all inverters have the same number of solar panel configurations. During the study, the minute data of the operation of each inverter for the period September 2018 to June 2019. Were processed. In the future, the data from the study will be used to predict the operation of this FES. Ref. 10, fig. 6.