A new Internet of Things based optimization scheme of residential demand side management system
Abstract The steady increase in the energy demand and the growing carbon footprint has forced electricity‐based utilities to shift from their use of non‐renewable energy sources to renewable energy sources. Furthermore, there has been an increase in the integration of renewable energy sources in the...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-07-01
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| Series: | IET Renewable Power Generation |
| Online Access: | https://doi.org/10.1049/rpg2.12466 |
| _version_ | 1828426972766666752 |
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| author | Bilal Naji Alhasnawi Basil H. Jasim Riyadh Mansoor Arshad Naji Alhasnawi Zain‐Aldeen S. A Rahman Hassan Haes Alhelou Josep M. Guerrero Adel Manaa Dakhil Pieruigi Siano |
| author_facet | Bilal Naji Alhasnawi Basil H. Jasim Riyadh Mansoor Arshad Naji Alhasnawi Zain‐Aldeen S. A Rahman Hassan Haes Alhelou Josep M. Guerrero Adel Manaa Dakhil Pieruigi Siano |
| author_sort | Bilal Naji Alhasnawi |
| collection | DOAJ |
| description | Abstract The steady increase in the energy demand and the growing carbon footprint has forced electricity‐based utilities to shift from their use of non‐renewable energy sources to renewable energy sources. Furthermore, there has been an increase in the integration of renewable energy sources in the electric grid. Hence, one needs to manage the energy consumption needs of the consumers, more effectively. Consumers can connect all the devices and houses to the internet by using Internet of Things (IoT) technology. In this study, the researchers have developed and proposed a novel 2‐stage hybrid method that schedules the power consumption of the houses possessing a distributed energy generation and storage system. Stage 1 modeled the non‐identical Home Energy Management Systems (HEMSs) that can contain the DGS like WT and PV. The HEMS organise the controllable appliances after taking into consideration the user preferences, electricity prices and the amount of energy produced /stored. The set of optimal consumption schedules for every HEMS was estimated using a BPSO and BSA. On the other hand, Stage 2 includes a Multi‐Agent‐System (MAS) based on the IoT. The system comprises two portions: software and hardware. The hardware comprises the Base Station Unit (BSU) and many Terminal Units (TUs). |
| first_indexed | 2024-12-10T16:53:33Z |
| format | Article |
| id | doaj.art-72b2a4357d5342cca1036d2c96dfd30c |
| institution | Directory Open Access Journal |
| issn | 1752-1416 1752-1424 |
| language | English |
| last_indexed | 2024-12-10T16:53:33Z |
| publishDate | 2022-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj.art-72b2a4357d5342cca1036d2c96dfd30c2022-12-22T01:40:48ZengWileyIET Renewable Power Generation1752-14161752-14242022-07-0116101992200610.1049/rpg2.12466A new Internet of Things based optimization scheme of residential demand side management systemBilal Naji Alhasnawi0Basil H. Jasim1Riyadh Mansoor2Arshad Naji Alhasnawi3Zain‐Aldeen S. A Rahman4Hassan Haes Alhelou5Josep M. Guerrero6Adel Manaa Dakhil7Pieruigi Siano8Electrical Engineering Department Basrah University Basrah IraqElectrical Engineering Department Basrah University Basrah IraqDepartment Electronics and Communication Engineering Al Muthanna University Samawah IraqDepartment of Biology College of Education for Pure Sciences Al‐Muthanna University Samawah IraqElectrical Engineering Department Basrah University Basrah IraqSchool of Electrical and Electronic Engineering University College Dublin Dublin 4 IrelandCenter for Research on Microgrid (CROM) AAU Energy Department University of Aalborg Aalborg DenmarkElectrical Engineering Department Misan University Misan IraqManagement and Innovation Systems Department Salerno University Salerno ItalyAbstract The steady increase in the energy demand and the growing carbon footprint has forced electricity‐based utilities to shift from their use of non‐renewable energy sources to renewable energy sources. Furthermore, there has been an increase in the integration of renewable energy sources in the electric grid. Hence, one needs to manage the energy consumption needs of the consumers, more effectively. Consumers can connect all the devices and houses to the internet by using Internet of Things (IoT) technology. In this study, the researchers have developed and proposed a novel 2‐stage hybrid method that schedules the power consumption of the houses possessing a distributed energy generation and storage system. Stage 1 modeled the non‐identical Home Energy Management Systems (HEMSs) that can contain the DGS like WT and PV. The HEMS organise the controllable appliances after taking into consideration the user preferences, electricity prices and the amount of energy produced /stored. The set of optimal consumption schedules for every HEMS was estimated using a BPSO and BSA. On the other hand, Stage 2 includes a Multi‐Agent‐System (MAS) based on the IoT. The system comprises two portions: software and hardware. The hardware comprises the Base Station Unit (BSU) and many Terminal Units (TUs).https://doi.org/10.1049/rpg2.12466 |
| spellingShingle | Bilal Naji Alhasnawi Basil H. Jasim Riyadh Mansoor Arshad Naji Alhasnawi Zain‐Aldeen S. A Rahman Hassan Haes Alhelou Josep M. Guerrero Adel Manaa Dakhil Pieruigi Siano A new Internet of Things based optimization scheme of residential demand side management system IET Renewable Power Generation |
| title | A new Internet of Things based optimization scheme of residential demand side management system |
| title_full | A new Internet of Things based optimization scheme of residential demand side management system |
| title_fullStr | A new Internet of Things based optimization scheme of residential demand side management system |
| title_full_unstemmed | A new Internet of Things based optimization scheme of residential demand side management system |
| title_short | A new Internet of Things based optimization scheme of residential demand side management system |
| title_sort | new internet of things based optimization scheme of residential demand side management system |
| url | https://doi.org/10.1049/rpg2.12466 |
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