Programação da Operação de um Dia à Frente de Microrredes Isoladas

Abstract

This paper develops a day-ahead operational planning based on optimal power flow (OPF) for isolated microgrids which are equipped with battery bank, diesel generation and renewable resources. The renewable resources available in the studied microgrid are the photovoltaic solar and wind energies, which present an intermittent behavior, and so it is modeled by a probability density function in the proposed OPF formulation, in order to make the objective function sensitive to climatic uncertainties inherent to the intermittent resources. The objective function of the OPF incorporates in its formulation the costs associated with the operation of diesel generators and the use of the battery bank, in order to minimize fuel consumption and maximize the lifetime of the battery bank. The differential evolution optimization technique was used to solve the proposed formulation and to obtain a minimum cost of operation of the microgrid under study. The proposed formulation was tested in different scenarios and the obtained results showed that the day-ahead operational planning in microgrids is sensitive to variations in weather conditions, that occur at each hour of the day, and the changes made in the state of charge of the battery bank.