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Article

A Novel Solution for Day-Ahead Scheduling Problems Using the IoT-Based Bald Eagle Search Optimization Algorithm

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Department of Computer Technical Engineering, College of Information Technology, Imam Ja’afar Al-Sadiq University, Al-Muthanna 66002, Iraq
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Electrical Engineering Department, Basrah University, Basrah 61001, Iraq
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Management and Innovation Systems Department, Salerno University, 84084 Salerno, Italy
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Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa
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Department of Electrical Power Engineering, Tishreen University, Lattakia 2230, Syria
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Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Muscat P.O. Box 373, Alkhoud PC 123, Oman
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Authors to whom correspondence should be addressed.
Academic Editor: Shoou-Jinn Chang
Inventions 2022, 7(3), 48; https://doi.org/10.3390/inventions7030048
Received: 15 May 2022 / Revised: 10 June 2022 / Accepted: 15 June 2022 / Published: 23 June 2022
(This article belongs to the Special Issue Microgrids: Protection, Cyber Physical Issues, and Control)
Advances in technology and population growth are two factors responsible for increasing electricity consumption, which directly increases the production of electrical energy. Additionally, due to environmental, technical and economic constraints, it is challenging to meet demand at certain hours, such as peak hours. Therefore, it is necessary to manage network consumption to modify the peak load and tackle power system constraints. One way to achieve this goal is to use a demand response program. The home energy management system (HEMS), based on advanced internet of things (IoT) technology, has attracted the special attention of engineers in the smart grid (SG) field and has the tasks of demand-side management (DSM) and helping to control equality between demand and electricity supply. The main performance of the HEMS is based on the optimal scheduling of home appliances because it manages power consumption by automatically controlling loads and transferring them from peak hours to off-peak hours. This paper presents a multi-objective version of a newly introduced metaheuristic called the bald eagle search optimization algorithm (BESOA) to discover the optimal scheduling of home appliances. Furthermore, the HEMS architecture is programmed based on MATLAB and ThingSpeak modules. The HEMS uses the BESOA algorithm to find the optimal schedule pattern to reduce daily electricity costs, reduce the PAR, and increase user comfort. The results show the suggested system’s ability to obtain optimal home energy management, decreasing the energy cost, microgrid emission cost, and PAR (peak to average ratio). View Full-Text
Keywords: bald eagle search optimization algorithm; internet of things; renewable energy sources; battery energy storage system bald eagle search optimization algorithm; internet of things; renewable energy sources; battery energy storage system
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MDPI and ACS Style

Alhasnawi, B.N.; Jasim, B.H.; Siano, P.; Alhelou, H.H.; Al-Hinai, A. A Novel Solution for Day-Ahead Scheduling Problems Using the IoT-Based Bald Eagle Search Optimization Algorithm. Inventions 2022, 7, 48. https://doi.org/10.3390/inventions7030048

AMA Style

Alhasnawi BN, Jasim BH, Siano P, Alhelou HH, Al-Hinai A. A Novel Solution for Day-Ahead Scheduling Problems Using the IoT-Based Bald Eagle Search Optimization Algorithm. Inventions. 2022; 7(3):48. https://doi.org/10.3390/inventions7030048

Chicago/Turabian Style

Alhasnawi, Bilal N., Basil H. Jasim, Pierluigi Siano, Hassan H. Alhelou, and Amer Al-Hinai. 2022. "A Novel Solution for Day-Ahead Scheduling Problems Using the IoT-Based Bald Eagle Search Optimization Algorithm" Inventions 7, no. 3: 48. https://doi.org/10.3390/inventions7030048

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