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The features of agricultural energy in the Krasnodar Territory are considered and two main problems are identified: the shortage of generating capacities and the remoteness of low-power consumers from centralized networks, for the solution of which renewable energy sources, including solar energy, can be used. The use of solar power plants at the enterprises of the agro-industrial complex of the region has been substantiated. The importance of automating the process of assessing the territory suitable for the placement of solar power facilities and the features of its implementation are substantiated. Criteria have been obtained that influence the choice of the optimal option for placing solar power facilities, based on the methodology for calculating the power and the amount of generated energy. The features of calculating the matrix of spatial characteristics for renewable energy facilities in the Krasnodar Territory are shown. An algorithm for creating a matrix of spatial data and an algorithm for choosing the optimal option for placing solar power plants are presented. The use of a high-level programming language Python is proposed to implement the created algorithm. The conclusion is made about the possibility of automating the process of assessing the efficiency of the placement of solar power plants in the Krasnodar Territory using modern computing technology in the format of a geoformation application developed in the Python programming language.

Algorithm for assessing the efficiency of siting solar power plants at the enterprises of the agro-industrial complex of Krasnodar region