TY - JOUR
T1 - A new Internet of Things based optimization scheme of residential demand side management system
AU - Alhasnawi, Bilal Naji
AU - Jasim, Basil H.
AU - Mansoor, Riyadh
AU - Alhasnawi, Arshad Naji
AU - Rahman, Zain Aldeen S.A.
AU - Haes Alhelou, Hassan
AU - Guerrero, Josep M.
AU - Dakhil, Adel Manaa
AU - Siano, Pieruigi
N1 - Publisher Copyright:
© 2022 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
PY - 2022/7/27
Y1 - 2022/7/27
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=85131321350&partnerID=8YFLogxK
U2 - 10.1049/rpg2.12466
DO - 10.1049/rpg2.12466
M3 - Journal article
AN - SCOPUS:85131321350
SN - 1752-1416
VL - 16
SP - 1992
EP - 2006
JO - IET Renewable Power Generation
JF - IET Renewable Power Generation
IS - 10
ER -