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Information × Registration Number 0223U005208, 0123U102760 , R & D reports Title Development of a software complex for accurate forecasting of electricity generation by solar power plants to minimize the green-coal paradox popup.stage_title Head Koplyk Ihor V., Кандидат фізико-математичних наук Registration Date 18-12-2023 Organization Sumy State University popup.description2  Universal mathematical models and algorithms of electricity generation and short-term forecasting of generation volumes by a solar power plant have been developed. Based on the analysis of basic models for forecasting electricity generation by solar power plants, the feasibility of using neural network models is substantiated. A structure of a neural network was built for short-term forecasting of the amount of generation by a solar power plant. Algorithms for using a neural network to calculate the generation forecast have been created. A comprehensive methodology for forecasting the amount of electricity generation by solar power plants with a forecasting horizon of a month, season, and year has been developed using statistical data on the functioning of solar power plants over the past few years. It is substantiated that the creation of local aggregated groups based on the provisions of the theory of collaborative alliances can contribute to the solution of two interrelated tasks: first, to ensure the effective introduction of renewable electricity sources into the unified energy system of the country, thanks to ensuring the balance of local energy systems (as a result, minimizing the negative consequences of the green-coal paradox); secondly, the development of tools for forecasting the generation of electricity from renewable sources and managing the demand for electricity within the aggregated group. In order to increase the stability of the energy system of Ukraine and reduce the risks of imbalances, the structure of a virtual power plant using solar and carbon generation is proposed. A methodology for evaluating the implementation of cogeneration gas piston units in the structures of virtual power plants, as well as their use as backup power sources for isolated objects, which increases the energy efficiency of energy generation and the stability of objects, has been developed Product Description popup.authors Drozdenko Oleksey O. Diachenko Oleksiy V. Koplyk Ihor V. Kurbatova Tetiana O. Medvid Svitlana A. Nenya Anna V. Sotnyk Mykola I. Shashkov Serhiy V. popup.nrat_date 2023-12-18 Close