{"title":"基于多约束粒子群策略的智能家居能耗优化","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":"{\"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}","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}
A Smart Home Energy Consumption Optimisation Based on Multi-Constraints PSO Strategy
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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