Optimization algorithm for intelligent electrical management system

Abstract

Through an optimization algorithm, the behavior of intelligent electrical management based on the multiagent combination of storage and alternative energy is shown. The control algorithm is conceived altogether with the optimization and the energy flow of a residence. With real consumption and expected generation data, the optimization sets a savings limit of 93% compared to a traditional system without electrical management. According to the energy flow and under the same optimization conditions, the operation of the algorithm is verified and the results approach the limit and achieve savings of 86%.