Caracterização do modelo ZIP na análise de sistemas de distribuição de energia elétrica
Nenhuma Miniatura disponível
Data
2022-10-27
Autores
Título da Revista
ISSN da Revista
Título de Volume
Editor
Universidade Federal de Goiás
Resumo
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.
Descrição
Palavras-chave
Citação
SILVA, A. O. Caracterização do modelo ZIP na análise de sistemas de distribuição de energia elétrica. 2022. 72 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2022.