{"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.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
