Efficient Energy Management for Household: Optimization-Based Integration of Distributed Energy Resources in Smart Grid
Energy demand is increasing globally due to the growing human population and progressive lifestyle. The adequate use of available energy resources, including renewable, contributes to a country’s economic sustainability and future development. Optimization-based energy management and cost...
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Format: | Article |
Language: | English |
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IEEE
2023-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/10210574/ |
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author | Qamar Akhter Abubakar Siddique Salman A. Alqahtani Anzar Mahmood Mehboob Alam Zohaib Mushtaq Muhammad Farrukh Qureshi Waseem Aslam Paranav Kumar Pathak |
author_facet | Qamar Akhter Abubakar Siddique Salman A. Alqahtani Anzar Mahmood Mehboob Alam Zohaib Mushtaq Muhammad Farrukh Qureshi Waseem Aslam Paranav Kumar Pathak |
author_sort | Qamar Akhter |
collection | DOAJ |
description | Energy demand is increasing globally due to the growing human population and progressive lifestyle. The adequate use of available energy resources, including renewable, contributes to a country’s economic sustainability and future development. Optimization-based energy management and cost minimization plays a significant role in overcoming energy crises in less developed countries. In this paper, an optimization–based dynamic energy management technique for smart grids is developed based on the integration of available renewable resources and variable consumer demand, distinctive to underdeveloped countries. Consumer demand is classified into fixed, flexible, and highly variable based on population characteristics. In this work, we developed a Dynamic Multiple Knapsack DMKNS algorithm, which automatically schedules energy provision to various users by optimally accounting for the available resources (Grid and Renewable). The proposed method provides a low-cost solution by maintaining a constant energy supply while preserving consumer comfort and grid stability. The simulation results with various intermittent availability of resources using MKNS show a saving up to 50% for a variable energy demand user. The proposed method is general and can also be applied to various underdeveloped regions with similar consumer demand and statistics. |
first_indexed | 2024-03-12T14:28:08Z |
format | Article |
id | doaj.art-311b3a4660cc4b4d9a05084ef58a1578 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-03-12T14:28:08Z |
publishDate | 2023-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-311b3a4660cc4b4d9a05084ef58a15782023-08-17T23:00:13ZengIEEEIEEE Access2169-35362023-01-0111857168572710.1109/ACCESS.2023.330320410210574Efficient Energy Management for Household: Optimization-Based Integration of Distributed Energy Resources in Smart GridQamar Akhter0https://orcid.org/0000-0002-6029-4915Abubakar Siddique1Salman A. Alqahtani2https://orcid.org/0000-0003-1233-1774Anzar Mahmood3https://orcid.org/0000-0002-4504-1557Mehboob Alam4https://orcid.org/0000-0002-2092-4847Zohaib Mushtaq5https://orcid.org/0000-0002-5587-7614Muhammad Farrukh Qureshi6https://orcid.org/0000-0003-1167-349XWaseem Aslam7Paranav Kumar Pathak8Department of Electrical Engineering, University of Poonch Rawalakot, Rawalakot, PakistanDepartment of Electrical Engineering, Khwaja Fareed University of Engineering and Information Technology (KFUEIT), Rahim Yar Khan, PakistanDepartment of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Electrical Engineering, Mirpur University of Science and Technology (MUST), Mirpur, PakistanDepartment of Electrical Engineering, University of Poonch Rawalakot, Rawalakot, PakistanDepartment of Electrical Engineering, College of Engineering and Technology, University of Sargodha, Sargodha, PakistanDepartment of Biomedical Engineering, Riphah International University, Islamabad, PakistanDepartment of Electrical Engineering, College of Engineering and Technology, University of Sargodha, Sargodha, PakistanSchool of Continuing, McGill University, Montreal, CanadaEnergy demand is increasing globally due to the growing human population and progressive lifestyle. The adequate use of available energy resources, including renewable, contributes to a country’s economic sustainability and future development. Optimization-based energy management and cost minimization plays a significant role in overcoming energy crises in less developed countries. In this paper, an optimization–based dynamic energy management technique for smart grids is developed based on the integration of available renewable resources and variable consumer demand, distinctive to underdeveloped countries. Consumer demand is classified into fixed, flexible, and highly variable based on population characteristics. In this work, we developed a Dynamic Multiple Knapsack DMKNS algorithm, which automatically schedules energy provision to various users by optimally accounting for the available resources (Grid and Renewable). The proposed method provides a low-cost solution by maintaining a constant energy supply while preserving consumer comfort and grid stability. The simulation results with various intermittent availability of resources using MKNS show a saving up to 50% for a variable energy demand user. The proposed method is general and can also be applied to various underdeveloped regions with similar consumer demand and statistics.https://ieeexplore.ieee.org/document/10210574/Optimization-based energy managementdynamic multiple knapsackenergy storagerenewable energy systemsmart grid |
spellingShingle | Qamar Akhter Abubakar Siddique Salman A. Alqahtani Anzar Mahmood Mehboob Alam Zohaib Mushtaq Muhammad Farrukh Qureshi Waseem Aslam Paranav Kumar Pathak Efficient Energy Management for Household: Optimization-Based Integration of Distributed Energy Resources in Smart Grid IEEE Access Optimization-based energy management dynamic multiple knapsack energy storage renewable energy system smart grid |
title | Efficient Energy Management for Household: Optimization-Based Integration of Distributed Energy Resources in Smart Grid |
title_full | Efficient Energy Management for Household: Optimization-Based Integration of Distributed Energy Resources in Smart Grid |
title_fullStr | Efficient Energy Management for Household: Optimization-Based Integration of Distributed Energy Resources in Smart Grid |
title_full_unstemmed | Efficient Energy Management for Household: Optimization-Based Integration of Distributed Energy Resources in Smart Grid |
title_short | Efficient Energy Management for Household: Optimization-Based Integration of Distributed Energy Resources in Smart Grid |
title_sort | efficient energy management for household optimization based integration of distributed energy resources in smart grid |
topic | Optimization-based energy management dynamic multiple knapsack energy storage renewable energy system smart grid |
url | https://ieeexplore.ieee.org/document/10210574/ |
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