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Information × Registration Number 0226U000238, (0125U002920) , R & D reports Title Development of a digital twin of a microgrid for optimization and management of decentralized networks popup.stage_title Дослідження методів та засобів створення цифрового двійника мicrogrid Head Shymaniuk Pavlo V., Доктор філософії Registration Date 06-01-2026 Organization Institute of Electrodynamics of the National Academy of Sciences of Ukraine popup.description1 The aim of the work is to develop methods and tools for creating digital twins of microgrids for optimization and control of decentralized networks using artificial neural networks. In the process of work, a computer model will be developed using real microgrid data. In addition, a forecasting algorithm based on artificial neural networks will be adapted for integration with the digital twin. popup.description2 In the current conditions of energy sector transformation, increasing share of renewable energy sources and decentralization of generation, microgrid systems play an increasingly important role. One of the key tools for ensuring their effective functioning is digital twins, which are synchronized with real data in real time. Digital twins allow you to model the operation of microgrid electrical components - generators, energy storage, loads, power lines and auxiliary equipment. Virtual models provide simulation of various operating modes, load and generation forecasting based on historical and current data, as well as optimization of energy flows given technical and economic constraints. The project collected and analyzed materials, technical solutions and software tools necessary for building a microgrid digital twin. The features of the operation of virtual models of physical objects are considered, key requirements for the architecture of the digital twin are determined, and problems associated with data integration, model synchronization and ensuring their reliability are outlined. One of the critical stages of developing a digital twin is the formation of a high-quality information base. Historical and operational data on the operation of all microgrid components were collected: solar panels, inverters, energy storage, loads, power lines, controllers and smart meters. The collected data cover operating modes, load profiles, generation characteristics and electricity quality parameters. The statistical analysis performed included descriptive statistics, correlation analysis and preliminary time series modeling. This allowed us to identify patterns in the operation of the microgrid, determine stable and unstable modes, identify gaps, anomalies and noise components. The obtained results create the basis for building mathematical models of microgrid components, identification of parameters and further validation of the digital twin. Product Description popup.authors Viktoriia V. Sychova popup.nrat_date 2026-01-06 Close