Active distribution system planning considering non-utility-owned electric vehicle charging stations and network reconfiguration

Autor(es)

Mejia, Mario A. ; Macedo, Leonardo H. ; Munoz-Delgado, Gregorio ; Contreras, Javier ; Padilha-Feltrin, Antonio

• Tipo de documento: Artigo Científico
• Fonte: SUSTAINABLE ENERGY GRIDS & NETWORKS; v. 35, p. 16-pg., 2023-09-01.

Resumo

This paper introduces a new mixed-integer linear programming formulation for planning active distribution networks and non-utility-owned electric vehicle charging stations (EVCS), using network reconfiguration as a planning option. The method employs multi-objective optimization to address the commercial interests of the utility and the EVCS owner separately. In this manner, the utility makes investment decisions for network assets, such as replacing overloaded conductors and installing capacitor banks and voltage regulators, whereas the EVCS owner decides on the purchase of land and infrastructure for the EVCS installation. Furthermore, as an outstanding feature, the proposed formulation incorporates network reconfiguration within the planning options. The proposed model aims to minimize the total expected cost for both owners. A travel simulation algorithm provides the EVCS load profiles. At the same time, scenario-based optimization addresses uncertainties related to substation energy prices, wind speed, solar irradiance, electricity demand, adoption rate, and loading profile of plug-in electric vehicles. The effectiveness of the proposed model has been demonstrated in a 69-node network. The findings show that when deciding where to install the EVCS (network node), the objectives of both owner's clash. This discrepancy, however, can be reduced through network reconfiguration. Finally, the scalability of the proposed method was evaluated using a real 134-node system.& COPY; 2023 Elsevier Ltd. All rights reserved. (AU)

• Processo FAPESP: 15/21972-6 - Otimização do planejamento e da operação de sistemas de transmissão e de distribuição de energia elétrica
• Beneficiário: Rubén Augusto Romero Lázaro
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 18/20355-1 - Otimização do planejamento da expansão e da operação de sistemas de distribuição de energia elétrica considerando restauração da carga
• Beneficiário: Leonardo Henrique Faria Macedo Possagnolo
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 19/19632-3 - Otimização da operação de redes de distribuição ativas para restauração do fornecimento
• Beneficiário: Leonardo Henrique Faria Macedo Possagnolo
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado