SciELO - Scientific Electronic Library Online

 
vol.25 número1Analysis and evaluation of the thermal performance of roofing systems used in dry construction for residential buildings located in the city of Santiago de Cali and its area of influenceVacuum dip frying of green banana slices with edible coatings índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Ingeniería y competitividad

versão impressa ISSN 0123-3033versão On-line ISSN 2027-8284

Resumo

AMAYA VASQUEZ, Luis  e  CAMPANA MOLINA, Miguel Ángel. Optimal Design of Electrical Distribution Networks Using Optimization Models. Ing. compet. [online]. 2023, vol.25, n.1, e-20311572.  Epub 30-Dez-2022. ISSN 0123-3033.  https://doi.org/10.25100/iyc.v25i1.11572.

This paper proposes an alternative methodology to optimally design an electrical distribution system in a real urban area. A medium voltage (MV) network polygon is extracted from the web page of a distribution company (GIS platform), which serves as a comparison pattern. A redesign of the medium voltage network is made to the extracted polygon. Taking as a premise that it is a new urbanization that needs to be provided with electric power, with all the technical requirements imposed by the regulating entity, good power quality and at minimum cost. To achieve this goal, two mathematical optimization models are used. The methodology begins by delimiting the project area in a geo-referenced manner; in this area 36 possible sites are located where the distribution transformers that will provide electricity to the new urbanization can be placed. The first optimization model determines how many transformers will be installed, by means of a minimization objective function, the constraints of the model are: transformer capacity (KVA) and coverage (number of subscribers connected to the low voltage network of each transformer). Once the number of transformers to be installed and their respective geo-referenced optimal locations are determined, the model is run. The second heuristic optimization model, based on graph theory, calculates the mine spanning tree for the connection of the medium voltage electrical network, thus interconnecting the transformers of the project with the minimum distance, thus optimizing the construction cost. These optimization models are implemented and solved with Matlab and LpSolve software. The topology found with the two proposed models is electrically evaluated by running power flows with CYMEDIST software. Finally, the proposed model is evaluated by comparing the electrical parameters obtained with the electrical parameters of the polygon extracted from the GIS system of the distribution company.

Palavras-chave : Distribution Networks; Georeferencing; Optimization; Planning; Power Quality.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )