Optimization Of The Urban Power Supply Network

The paper is devoted to the development of a methodology for reducing the cost of cable products during the construction of low-voltage networks of urban micro-districts, as well as minimizing the impact of the human factor during design. To achieve this goal, an optimization mechanism is proposed, which is based on the use of the Cartesian product of sets in combination with the gradient descent algorithm. In the optimization process, the best options for connecting consumers to substations are searched, which consider the optimal load parameters and cable line lengths. The optimal grouping of consumers be-tween substations is also studied, which ensures the effective distribution of energy re-sources. The developed approach includes automated calculation of the obtained options with their subsequent optimization according to the criteria of uniform loading of each substation and the minimum total length of low-voltage cable lines in the micro-district. This allows not only to increase the efficiency of network design, but also to ensure significant savings in material resources and time. The proposed methodology can be used to design new neighborhoods or modernize existing power supply networks, contributing to their greater reliability and cost-effectiveness.