Development of an automated calculation system for determining the rational cross-section and voltage level of 10-35 kV power lines for improving the economic efficiency of the calculated values

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As shown in general terms by the statistics of emergency shutdowns and limit periods of operation of electric grid elements and electrical equipment, the main objective when connecting prospective industrial and residential complexes is to ensure uninterrupted power supply. To this end, new prospective and power lines for consumers need to be reconstructed or laid. This requires the development and implementation of automated calculation system with improved methodology for selecting cross sections of conductors of 10-35 kV power lines. This also needs to take into account a number of additional economic parameters, including the criterion of minimum discounted costs. This has resulted in new values of economic current density for each subject of the Russian Federation, corresponding to new economic conditions which differ significantly from those given in PUE. The study performed an analysis of the influence of economic current density on the territorial dispersion of electric power prices, discount rate, dynamics of load growth and prices for repair and maintenance. This confirms dependence on the economic situation in the country. The software product developed as a result enables recalculation of the power line for further reconstruction and modernization. In addition, as mentioned above, values were calculated for all regions of Russia, taking into account highest load time. The use of the automated calculation system will reduce the time needed for calculation when determining the type of line, cross-section and voltage for further forecasting of newly connected facilities as well as existing ones, it will also enable a correct and justified choice with a minimum of initial information.

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Economic current density, overhead and cable power line, minimum discounted costs, rational voltage, automated calculation system

Короткий адрес: https://sciup.org/147237517

IDR: 147237517

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