Research Article
Algorithms for building distribution networks of electricity supply, reducing losses of electricity
@ARTICLE{10.4108/eai.10-7-2018.155046, author={V.A. Negadaev}, title={Algorithms for building distribution networks of electricity supply, reducing losses of electricity}, journal={EAI Endorsed Transactions on Energy Web and Information Technologies}, volume={5}, number={19}, publisher={EAI}, journal_a={EW}, year={2018}, month={7}, keywords={arbitrary structure, genetic algorithm, electric load, electric power distribution, electric power supply network, main structure, model, optimization, smart grid}, doi={10.4108/eai.10-7-2018.155046} }- V.A. Negadaev
Year: 2018
Algorithms for building distribution networks of electricity supply, reducing losses of electricity
EW
EAI
DOI: 10.4108/eai.10-7-2018.155046
Abstract
The basis for achieving high quality of electricity are three components: high-quality power generation, uninterrupted transmission and distribution over reliable networks. In conditions of commensurability of the power of electric motors with the power supply and with a considerable extension of the cable network, algorithms for automated design of the power supply system are needed. This article describes an approach based on the application of the Dijkstra algorithm, which allows to reduce costs in the construction of the distribution network and provide the necessary voltage level at the motor terminals or minimum energy losses in the cable network. The main and arbitrary structure of a power supply network with an electric load in terms of the theory of the genetic algorithm is described, on the basis of which it is possible to create an effective means of determining rational configurations of a power supply network with an electric load.
Copyright © 2018 V.A. Negadaev et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
