An Improved Optimization Function to Integrate the User’s Comfort Perception into a Smart Home Controller Based on Particle Swarm Optimization and Fuzzy Logic
Author:
Costa Jonatha Rodrigues da1ORCID, Barroso Giovanni Cordeiro1ORCID, Souza Darielson Araújo de2ORCID, Batista Josias Guimarães3ORCID, Souza Junior Antonio Barbosa de4ORCID, Rios Clauson Sales do Nascimento1ORCID, Vasconcelos Felipe José de Sousa1ORCID, Júnior José Nogueira do Nascimento1, Bezerra Ismael de Souza1, Lima Alanio Ferreira de1ORCID, Santana Killdary Aguiar de1, Oliveira Júnior José Raimundo de1
Affiliation:
1. Department of Electrical Engineering, Federal University of Ceará, Fortaleza 60455-760, CE, Brazil 2. Department of Computing, Federal Institute of Ceará—IFCE Campus Maracanaú, Maracanaú 61925-315, CE, Brazil 3. Department of Industry, Federal Institute of Ceará—IFCE Campus Fortaleza, Fortaleza 60040-215, CE, Brazil 4. Department of Industry, Federal Institute of Ceará—IFCE Campus Maracanaú, Maracanaú 61925-315, CE, Brazil
Abstract
Scheduling residential loads for financial savings and user comfort may be performed by smart home controllers (SHCs). For this purpose, the electricity utility’s tariff variation costs, the lowest tariff cost schedules, the user’s preferences, and the level of comfort that each load may add to the household user are examined. However, the user’s comfort modeling, found in the literature, does not take into account the user’s comfort perceptions, and only uses the user-defined preferences for load on-time when it is registered in the SHC. The user’s comfort perceptions are dynamic and fluctuating, while the comfort preferences are fixed. Therefore, this paper proposes the modeling of a comfort function that takes into account the user’s perceptions using fuzzy logic. The proposed function is integrated into an SHC that uses PSO for scheduling residential loads, and aims at economy and user comfort as multiple objectives. The analysis and validation of the proposed function includes different scenarios related to economy–comfort, load shifting, consideration of energy tariffs, user preferences, and user perceptions. The results show that it is more beneficial to use the proposed comfort function method only when the user requires SHC to prioritize comfort at the expense of financial savings. Otherwise, it is more beneficial to use a comfort function that only considers the user’s comfort preferences and not their perceptions.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference47 articles.
1. ANEEL [Agência Nacional de Energia Elétrica] (2023, February 15). Resolução Normativa N° 414, de 9 de setembro, 2010. Estabelece as Condições Gerais de Fornecimento de Energia Elétrica de Forma Atualizada e Consolidada, Available online: https://www.camara.leg.br/proposicoesWeb/prop_mostrarintegra?codteor=1259869. 2. A survey on residential demand side management architecture, approaches, optimization models and methods;Esther;Renew. Sustain. Energy Rev.,2016 3. An event driven smart home controller enabling consumer economic saving and automated demand side management;Pimpinella;Appl. Energy,2012 4. Bezerra Filho, P., Albuquerque, P., Prata, B., and Barroso, G. (2015, January 25). A smart home controller using an integer programming approach for the optimization of consumer economic saving and comfort. Proceedings of the XII SBAI Simpósio Brasileiro de Automação Inteligente (Brazilian Symposium in Intelligent Automation), Natal-RN, Brazil. 5. Proposed Architecture for Energy Efficiency and Comfort Optimization in Smart Homes;Albuquerque;J. Control. Autom. Electr. Syst.,2018
|
|