Residential Charging Scheduling of Electric Vehicles in Brazilian Context

Authors

Keywords:

Electric Vehicles, Charging Scheduling, Optimization, Transformer Loading

Abstract

This paper presents a methodology to schedule the charging of Electric Vehicles (EVs) in order to maintain the loading of distribution transformer under the nameplate load while reducing charging costs. Brazilian consumption characteristics, mobility pattern and tariff structure are considered to design an optimization algorithm. While the demand of dwellings are estimated from typical load curves of a distribution utility located in the South of Brazil, the demand of EVs are estimated from mobility survey data. Adopting the current Brazilian tariff structure, coefficients of the objective function are formulated in order to schedule the charging of EVs to satisfy the following goals: limit the power demand requested to the distribution transformer, cope the demand of EVs with lower demand of dwellings and reduce the charging costs. The results shows that, in addition to prevent the overloading of distribution transformer, the charging only occurs in periods of higher tariff when necessary, whereas most of it occurs during late night and early morning, corresponding to cost reduction by purchasing energy during lower tariff prices

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Author Biographies

Jordan Passinato Sausen, Universidade Federal de Santa Maria

Jordan Passinato Sausen é graduado em Engenharia Elétrica pela Universidade Regional do Noroeste do Estado do Rio Grande do Sul (2016) com ênfases em Eletrônica, Automação e Sistemas de Energia. Possui Mestrado em Engenharia Elétrica pela Universidade Federal de Santa Maria (2017) com ênfase em Sistemas de Energia. Desde 2018 trabalha em seu Doutorado em Engenharia Elétrica na Universidade Federal de Santa Maria. Vinculado ao Centro de Excelência em Energia e Sistemas de Potência (CEESP), desenvolve pesquisas relacionadas a recursos energéticos distribuídos, com foco no carregamento de veículos elétricos.

Alzenira da Rosa Abaide, Federal University of Santa Maria (UFSM)

Alzenira da Rosa Abaide possui graduação, mestrado e doutorado em engenharia elétrica pela Universidade Federal de Santa Maria. Atuou como projetista de redes de energia elétrica e como engenheira na Companhia Estadual de Energia Elétrica. É professora titular da UFSM, Centro de Tecnologia, Departamento de Eletromecânica e Sistemas de Potência. Colaborou como consultora para pesquisa e elaboração de documento técnico para o CGEE Centro de Gestão de Estudos Estratégicos para o Ministério de Ciência Tecnologia e Inovação (MCTI). É pesquisadora PQ - Produtividade em Pesquisa do CNPq e membro do IEEE Power Energy Society e IEEE WiE Women in Engineering. Atua como coordenadora e pesquisadora em projetos de P e D ANEEL junto a empresas do setor elétrico desde 2003. Suas áreas de interesse são os Veículos Elétricos, geração de energia, planejamento, confiabilidade, smart grid e otimização. Vinculada ao Programa de Pós Graduação em Engenharia Elétrica, Centro de Excelência em Energia e Sistemas de Potência (CEESP) orienta doutorado e mestrado.

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Published

2021-04-12

How to Cite

Sausen, J. P., & da Rosa Abaide, A. (2021). Residential Charging Scheduling of Electric Vehicles in Brazilian Context. IEEE Latin America Transactions, 19(10), 1624–1631. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/4792

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