Известия Томского политехнического университета: Инжиниринг георесурсов (Jun 2020)
PROSPECTS FOR DECENTRALIZED DC SYSTEMS WITH DISTRIBUTED SOLAR GENERATION
Abstract
The relevance of the research is caused by the need to extend options for stand-alone power supply systems. Photovoltaic is a part of a government decree related to the ratification by Russia of the Paris climate agreement of 23.09.19. DC power supply systems with the integration of renewable energy sources for decentralized consumers can be the preferred alternative to AC. By using this, that most of the Paris Climate Agreement obligations would be met, as well as requirements for improving energy safety. The main aim of the research is improving the quality of electric energy in 0,4 kV distribution networks, decarbonizing the environment from hydrocarbon pollutions, increasing the energy security of a stand-alone power supply system by increasing the contribution to the energy balance of renewable energy resources, as well as reducing the cost of generated electric energy, in the frame of transition from AC to DC. Methodology. Due to the complexity of the full-scale study of electric power systems with the generation of various physical nature, the following research tools were identified: mathematical modelling with subsequent computer implementation in high-level software systems. Among the extensive range of software tools, MatLab meets the most complete simulation conditions, in particular, its Simulink modelling application with support for transient tracking – the SimPowerSystems library. Results. The authors have developed the software tool that allows simulating the operating modes of photo-diesel power supply systems, including generation with current power consumption and insolation in order to determine the rational technical and economic parameters of hybrid generating systems; identified the criteria for the feasibility and effectiveness of designing photo-diesel systems with DC for power supply to ruralsettlements; proposed new technological solutions to improve energy safety and technical and economic indicators of stand-alone power supply systems and the options of usingsmart algorithms with adaptive propertiesthat provide improved technical and economic characteristics of the electric power system.
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