Agendamento de cargas residenciais otimizado utilizando evolução diferencial

Abstract

This work describes an approach to perform load scheduling optimization using evolutionary strategy. The utilized method optimizes the problem by searching the space iteratively using Differential Evolution. The proposal investigates the different types of pricing methods, in particular, the application of Time-Of-Use Pricing and the benefits that it can return to the average user when combined with optimum load scheduling and home automation. The mathematical formulation of the problem makes practical use of a multiobjective function which is utilized to minimize the overall electricity cost, to optimize the comfort and to increase the peak-to-average ratio of the electricity system during the day. Simulation results demonstrate the applicability of the proposed solution. It is shown that the electricity cost is reduced taking comfort and peak-to-average ratio under consideration.