Caracterização do modelo ZIP na análise de sistemas de distribuição de energia elétrica

• Ano de defesa: 2022
• Autor(a) principal: Silva, Arthur Oliveira
• Orientador(a): Garcés Negrete, Lina Paola
• Banca de defesa: Garcés Negrete, Lina Paola, Sousa, Thales, Oliveira, Marcelo Escobar de, Brigatto, Gelson Antônio Andrêa
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Engenharia Elétrica e da Computação (EMC)
• Departamento: Escola de Engenharia Elétrica, Mecânica e de Computação - EMC (RMG)
• País: Brasil
• Palavras-chave em Português: Modelo ZIP; Fluxo de potência; Algoritmo genético
• Palavras-chave em Inglês: ZIP model; Load flow; Genetic algorithm
• Área do conhecimento CNPq: ENGENHARIAS::ENGENHARIA ELETRICA
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/12615

This paper presents a proposal for optimizing the ZIP model coefficients for modeling the loads present in electrical power distribution systems. Initially, the basic power flow theory is presented and, through an example using the theoretical IEEE 118-bus network, it is shown that the technical losses and voltage profiles obtained from the power flow solution are impacted when three ZIP model scenarios are considered. From the results of the example, it can be seen that this approach should not be neglected in system planning and operation studies, since the non-consideration of the ZIP model can bring impacts in the network diagnosis and, consequently, lead to the direction of imprudent investments under the view of the minimum global cost, as recommended by the National Electric Energy Agency (ANEEL). Thus, this paper proposes a mathematical optimization model that allows obtaining the characteristic coefficients of the ZIP model of the loads, which has as an objective the minimization of the difference between the measured actual current and the calculated one through the solution of the load flow problem. This model will be solved using a genetic algorithm, where each consumer class has its own ZIP model coefficients, separated in active and reactive power portions. Two case studies in real power distribution networks are performed to demonstrate the impact of the optimal ZIP model coefficients on the technical losses (MWh) of the feeders. Finally, the results of the work allow utilities to perform network diagnostics in a more assertive way, since each network can have a ZIP model that best fits the behavior of its loads.