Моделирование солнечной электростанции с учётом изменения параметров окружающей среды

Abstract

The article gives a detailed description of an approach to modeling the operating parameters of solar batteries in view of changes in climatic conditions. The study provides an overview of frequently adopted approaches to modeling solar batteries with a view to optimizing the composition of equipment. A number of requirements for the proposed approach were set drawing upon the main points of core energy research. An algorithm is described in details for calculating the operating parameters of solar batteries such as the output current, voltage, actual power, efficiency and operating temperature. When calculating the solar panel’s operating temperature, Koehl correlation coefficients were used to take account of supplemental cooling due to wind currents on the Earth’s surface. In addition, the study presents numerical values necessary for coefficient modeling. Innyaly, a rural locality in Lensky District (Sakha Republic, Russia) where a 40 kW photovoltaic system is planned to be constructed, was chosen to exemplify the above. An array of data on a typical meteorological year was collected for the territory under investigation using a software suite named the Local Analysis of Environmental Parameters and Solar Radiation. To calculate a typical meteorological year, the retrospective FM 12 Synop climate data were used from the nearest meteorological station. The modeling results revealed the appropriateness of the proposed approach. For example, as the solar radiation level changes, the output current and actual power undergo considerable changes whereas voltage remains virtually unchanged. At the same time, the decreasing operating temperature of the solar panels increases the efficiency and voltage respectively. The nature of modeled operating parameters coincides with the real data obtained at the Desert Knowledge Australia Solar Centre (Alice-Springs, Australia). The proposed approach can be used to optimize the composition of equipment, adequacy, cost-effectiveness analysis and other core energy research studies.