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Fuzzy Based Particle Swarm Optimization for Modeling Home Appliances towards Energy Saving and Cost Reduction under Demand Response Consideration

Air conditioning; Constrained optimization; Controllers; Cost benefit analysis; Cost reduction; Electric power utilization; Energy efficiency; Energy management systems; Energy utilization; Fuzzy logic; Gas emissions; Greenhouse gases; Heating; HVAC; Lighting; Membership functions; Particle swarm op...

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Main Authors: Parvin K., Hannan M.A., Al-Shetwi A.Q., Ker P.J., Roslan M.F., Mahlia T.M.I.
Other Authors: 57203309143
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-256412023-05-29T16:12:09Z Fuzzy Based Particle Swarm Optimization for Modeling Home Appliances towards Energy Saving and Cost Reduction under Demand Response Consideration Parvin K. Hannan M.A. Al-Shetwi A.Q. Ker P.J. Roslan M.F. Mahlia T.M.I. 57203309143 7103014445 57004922700 37461740800 57220188085 56997615100 Air conditioning; Constrained optimization; Controllers; Cost benefit analysis; Cost reduction; Electric power utilization; Energy efficiency; Energy management systems; Energy utilization; Fuzzy logic; Gas emissions; Greenhouse gases; Heating; HVAC; Lighting; Membership functions; Particle swarm optimization (PSO); Solar buildings; Traffic signals; Water heaters; Electric water heaters; Energy consumption and cost; Fuzzy logic controllers; Heating ventilation and air conditioning; Optimal performance; Optimized controllers; Sustainable energy; Sustainable environment; Domestic appliances Recently, homes consume around 40% of world power and produce 21% of the total greenhouse gas emissions. Thus, the proper management of energy in the domestic sector is a vital element for creating a sustainable environment and cost reduction. In this study, an intelligent home energy management system (HEMS) is developed to control domestic appliances load. The motivation of this work is reduced the electricity cost and power consumption from all the appliances by maintaining the customer's high comfort level using an efficient optimized controller. The domestic household appliances such as heating ventilation and air conditioning (HVAC), electric water heater (EWH) and lighting were modelled and analysed using Simulink/Matlab. The developed models analysed the appliances' energy consumption and cost sceneries during peak, off-peak and both peak and off-peak hours. Fuzzy logic controller (FLC) was developed for the HEMS to perform energy utilization estimation and cost analysis during these periods taking the Malaysian tariff for domestic use into consideration. To improve the FLC outcomes and the membership function constraint, particle swarm optimization (PSO) is developed to ensure an optimal cost and power consumption. The results showed that the developed FLC controller minimized the cost and energy consumption for peak period by 19.72% and 20.34%, 26.71% and 26.67%, 37.5% and 33.33% for HVAC, EWH, and dimmable lamps, respectively. To validate the optimal performance, the obtained results shows that the FLC-PSO can control the home appliances more significantly compared to FLC only. In this regard, the FLC-PSO based optimum scheduled controller for the HEMS minimized power and cost by 36.17%-36.54%, 54.54%-55.76%, and 62.5%-58% per day for HVAC, EWH, and light, respectively. In sum, the PSO shows good performance to reduce the cost and power consumption toward efficient HEMS. Thus, the developed fuzzy-based heuristic optimized controller of HEMS is beneficial towards sustainable energy utilization. � 2013 IEEE. Final 2023-05-29T08:12:08Z 2023-05-29T08:12:08Z 2020 Article 10.1109/ACCESS.2020.3039965 2-s2.0-85097348310 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097348310&doi=10.1109%2fACCESS.2020.3039965&partnerID=40&md5=b9854b87d1340f1e08a6a9577b5860a8 https://irepository.uniten.edu.my/handle/123456789/25641 8 9268107 210784 210799 All Open Access, Gold, Green Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Air conditioning; Constrained optimization; Controllers; Cost benefit analysis; Cost reduction; Electric power utilization; Energy efficiency; Energy management systems; Energy utilization; Fuzzy logic; Gas emissions; Greenhouse gases; Heating; HVAC; Lighting; Membership functions; Particle swarm optimization (PSO); Solar buildings; Traffic signals; Water heaters; Electric water heaters; Energy consumption and cost; Fuzzy logic controllers; Heating ventilation and air conditioning; Optimal performance; Optimized controllers; Sustainable energy; Sustainable environment; Domestic appliances
author2 57203309143
author_facet 57203309143
Parvin K.
Hannan M.A.
Al-Shetwi A.Q.
Ker P.J.
Roslan M.F.
Mahlia T.M.I.
format Article
author Parvin K.
Hannan M.A.
Al-Shetwi A.Q.
Ker P.J.
Roslan M.F.
Mahlia T.M.I.
spellingShingle Parvin K.
Hannan M.A.
Al-Shetwi A.Q.
Ker P.J.
Roslan M.F.
Mahlia T.M.I.
Fuzzy Based Particle Swarm Optimization for Modeling Home Appliances towards Energy Saving and Cost Reduction under Demand Response Consideration
author_sort Parvin K.
title Fuzzy Based Particle Swarm Optimization for Modeling Home Appliances towards Energy Saving and Cost Reduction under Demand Response Consideration
title_short Fuzzy Based Particle Swarm Optimization for Modeling Home Appliances towards Energy Saving and Cost Reduction under Demand Response Consideration
title_full Fuzzy Based Particle Swarm Optimization for Modeling Home Appliances towards Energy Saving and Cost Reduction under Demand Response Consideration
title_fullStr Fuzzy Based Particle Swarm Optimization for Modeling Home Appliances towards Energy Saving and Cost Reduction under Demand Response Consideration
title_full_unstemmed Fuzzy Based Particle Swarm Optimization for Modeling Home Appliances towards Energy Saving and Cost Reduction under Demand Response Consideration
title_sort fuzzy based particle swarm optimization for modeling home appliances towards energy saving and cost reduction under demand response consideration
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806423478894592000
score 13.222552

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