SMART HOME CONTROLLER: OTIMIZAÇÃO MULTI-OBJETIVO UTILIZANDO A META-HEURÍSTICA PSO

STÉPHANIE  A. B.  DOS SANTOS; DANIEL  K. DE A. OHI; PEDRO  U. B.  DE ALBUQUERQUE; JOSÉ R. BEZERRA; GIOVANNI  C. BARROSO

doi:10.20906/CBA2022/50

STÉPHANIE A. B. DOS SANTOS Universidade Federal do Ceará
DANIEL K. DE A. OHI Universidade Federal do Ceará
PEDRO U. B. DE ALBUQUERQUE Universidade Federal do Ceará
JOSÉ R. BEZERRA Instituto Federal de Educação, Ciência e Tecnologia do Ceará
GIOVANNI C. BARROSO Universidade Federal do Ceará

DOI: https://doi.org/10.20906/CBA2022/50

Keywords: Smart Home, Energy Efficiency, Optimization, Comfort, Demand Response

Abstract

This paper proposes a solution to the Smart Home Controller (SHC) Intelligent Load Controller
model using the Particle Swarm Optimization (PSO) meta-heuristic technique. SHC has been modeled so that it
can contemplate the energy cost, the comfort of the users or a combination of both. Conventional optimization
techniques become very slow in relation to the convergence rate and when the number of devices is part of the
demand response (DR), making them unviable for daily use. However, modern techniques based on heuristics
have overcome these disadvantages. In this article we compare the results of the SHC solution with Linear
Programming and PSO.