Uma proposta para aplicação do método PSO em programas de gerenciamento de carga pelo lado da demanda

Abstract

Smart grid techniques and demand response actions are enabling consumers to create ways to reduce their electric bills, either through installing distributed generation or simply through load management. By the advances in demand side management (GLD) and incentives from governments, alternatives are emerging to alleviate the electrical system at specific times. Through these GLD programs, consumers can change their triggering moment according to the tariff price at the moment and thus modify their load curve. Optimization methods are being developed to manage loads in homes in order to optimize energy consumption. In this work, the particle swarm optimization method will be applied for load management at a single residence. The behavior of the loads will be approximate to a Gaussian function in order to model the time response more reliably with respect to their inertia. The inconvenience factor will be inserted in the cost function, stipulated according to the consumer's comfort, allowing to personalize the proposed tool to each individual necessity.