Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management
With the emergence of smart grid (SG), the consumers have the opportunity to integrate renewable energy sources (RESs) and take part in demand side management. In this paper, we introduce generic home energy management control system (HEMCS) to efficiently schedule the household load and integrate R...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8443332/ |
| _version_ | 1818415245062832128 |
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| author | Nadeem Javaid Ghulam Hafeez Sohail Iqbal Nabil Alrajeh Mohamad Souheil Alabed Mohsen Guizani |
| author_facet | Nadeem Javaid Ghulam Hafeez Sohail Iqbal Nabil Alrajeh Mohamad Souheil Alabed Mohsen Guizani |
| author_sort | Nadeem Javaid |
| collection | DOAJ |
| description | With the emergence of smart grid (SG), the consumers have the opportunity to integrate renewable energy sources (RESs) and take part in demand side management. In this paper, we introduce generic home energy management control system (HEMCS) to efficiently schedule the household load and integrate RESs. The HEMCS is based on the genetic algorithm, binary particle swarm optimization, winddriven optimization (WDO), and our proposed genetic WDO algorithm to schedule appliances of single and multiple homes. For energy cost calculation, real-time pricing (RTP) and inclined block rate schemes are combined, because in case of only RTP, there is a possibility of building peaks during off-peak hours that may damage the entire power system. Moreover, to control the demand under the grid station capacity, the feasible region is defined and a problem is formulated using multiple knapsack. Energy efficient integration of RESs in SG is a challenging task due to time varying and their intermittent nature. The simulation results show that the proposed scheme avoids voltage rise problem in areas with high penetration of renewable energy. Moreover, the proposed scheme also reduces the electricity cost up to 48% and peak to average ratio of aggregated load up to 37.69%. |
| first_indexed | 2024-12-14T11:31:55Z |
| format | Article |
| id | doaj.art-8a8ff4ef351d417fb8132de95ac8c060 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T11:31:55Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8a8ff4ef351d417fb8132de95ac8c0602022-12-21T23:03:15ZengIEEEIEEE Access2169-35362018-01-016770777709610.1109/ACCESS.2018.28664618443332Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side ManagementNadeem Javaid0https://orcid.org/0000-0003-3777-8249Ghulam Hafeez1Sohail Iqbal2https://orcid.org/0000-0002-5255-6532Nabil Alrajeh3Mohamad Souheil Alabed4Mohsen Guizani5https://orcid.org/0000-0002-8972-8094Department of Computer Science, COMSATS University Islamabad, Islamabad, PakistanDepartment of Electrical Engineering, COMSATS University Islamabad, Islamabad, PakistanDepartment of Computing, National University of Science and Technology, Islamabad, PakistanDepartment of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Electrical and Computer Engineering, University of Idaho, Moscow, ID, USAWith the emergence of smart grid (SG), the consumers have the opportunity to integrate renewable energy sources (RESs) and take part in demand side management. In this paper, we introduce generic home energy management control system (HEMCS) to efficiently schedule the household load and integrate RESs. The HEMCS is based on the genetic algorithm, binary particle swarm optimization, winddriven optimization (WDO), and our proposed genetic WDO algorithm to schedule appliances of single and multiple homes. For energy cost calculation, real-time pricing (RTP) and inclined block rate schemes are combined, because in case of only RTP, there is a possibility of building peaks during off-peak hours that may damage the entire power system. Moreover, to control the demand under the grid station capacity, the feasible region is defined and a problem is formulated using multiple knapsack. Energy efficient integration of RESs in SG is a challenging task due to time varying and their intermittent nature. The simulation results show that the proposed scheme avoids voltage rise problem in areas with high penetration of renewable energy. Moreover, the proposed scheme also reduces the electricity cost up to 48% and peak to average ratio of aggregated load up to 37.69%.https://ieeexplore.ieee.org/document/8443332/Renewable energy sourcesdemand side managementload schedulingmeta-heuristic techniquestrading/cooperation |
| spellingShingle | Nadeem Javaid Ghulam Hafeez Sohail Iqbal Nabil Alrajeh Mohamad Souheil Alabed Mohsen Guizani Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management IEEE Access Renewable energy sources demand side management load scheduling meta-heuristic techniques trading/cooperation |
| title | Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management |
| title_full | Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management |
| title_fullStr | Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management |
| title_full_unstemmed | Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management |
| title_short | Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management |
| title_sort | energy efficient integration of renewable energy sources in the smart grid for demand side management |
| topic | Renewable energy sources demand side management load scheduling meta-heuristic techniques trading/cooperation |
| url | https://ieeexplore.ieee.org/document/8443332/ |
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