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Bibliographic description of the article: 

Karamov D. N., Naumov I. V. Modelirovaniye i optimizatsiya ustanovlennoy moshchnosti setevykh invertorov fotoelektricheskoy sistemy [Modelling and optimization of the installed capacity of grid-tie inverters in photovoltaic systems]. Sovremennye tekhnologii. Sistemnyi analiz. Modelirovanie [Modern Technologies. System Analysis. Modeling], 2019. Vol. 64, No. 4. Pp. 20–29. DOI: 10.26731/1813-9108.2019.4(64).20-29

Journal number: 
620.9: 621.383.51


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This paper describes an approach to modelling and optimizing the installed capacity of grid-tie inverters in photovoltaic systems. A detailed review of literature was made and research goals and objectives set. Different diagrams were drawn to depict connection between grid tie inverters and solar batteries depending on the total installed capacity of solar power plants. Requirements for mathematical models, assumptions and operational constraints were laid down. A grid tie inverter model was suggested which took into account temporal changes in operating conditions. Diagrams comprising high-power switchgears were proposed when examining major solar power plants. The suggested model helps calculate currents and voltages as well as active, reactive and full capacity in grid tie  inverters and high-power switchgear. An algorithm was proposed to optimize the installed capacity of grid-tie inverters in the light of operational constraints and changing natural and climate indicators. Two 250kW and 3,000kW photovoltaic power systems were modeled with regard to the meteorological conditions of the settlement of Khamakar (Irkutsk Region, Russia). The model analysis was based on a typical meteorological year data set extracted from long-term data records. Data values were processed using the following programming and computing suite: Local Analysis of Environmental Parameters and Solar Radiation. Model and optimization results for the photovoltaic power system revealed that using three 50kW grid tie inverters (150kW, in total) is much more effective than using six 25kW inverters or ten 15kW ones. A similar result was obtained when optimizing the installed capacity of the 3,000kW photovoltaic power system in which usage of twelve 150kW inverters is actually more efficient. The approach proposed in this paper may be used to optimize the equipment of photovoltaic power systems, improve electric reliability and analyze economic efficiency.

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