{"title":"A Smart Home Energy Consumption Optimisation Based on Multi-Constraints PSO Strategy","authors":"Marwa Ben Arab, M. Rekik, L. Krichen","doi":"10.1109/IC_ASET53395.2022.9765907","DOIUrl":null,"url":null,"abstract":"The smart home, which is regarded as a key component of the smart grid consumption, uses innovative communication and information technologies in order to improve the reliability, stability, and efficiency of the electric system. Plug-in electric vehicle (PEV) which is a controllable component, has the flexibility of charging and discharging through a domestic charging socket at home. In this paper, a home energy management system optimisation HEMSO is suggested to arrive at an optimal scheduling of PEV in a smart home in order to smooth its power profile, obtaining a free charging of plug-in electric vehicles (PEV) and reducing the electricity bill. The proposed framework is implemented through Particle Swarm Optimization (PSO) algorithm to improve the efficacy of the proposed strategy.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"58 1","pages":"544-549"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC_ASET53395.2022.9765907","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
The smart home, which is regarded as a key component of the smart grid consumption, uses innovative communication and information technologies in order to improve the reliability, stability, and efficiency of the electric system. Plug-in electric vehicle (PEV) which is a controllable component, has the flexibility of charging and discharging through a domestic charging socket at home. In this paper, a home energy management system optimisation HEMSO is suggested to arrive at an optimal scheduling of PEV in a smart home in order to smooth its power profile, obtaining a free charging of plug-in electric vehicles (PEV) and reducing the electricity bill. The proposed framework is implemented through Particle Swarm Optimization (PSO) algorithm to improve the efficacy of the proposed strategy.
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