Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management Article Swipe
YOU?
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· 2018
· Open Access
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· DOI: https://doi.org/10.1109/access.2018.2866461
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%.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2018.2866461
- OA Status
- gold
- Cited By
- 166
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2890778288
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2890778288Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2018.2866461Digital Object Identifier
- Title
-
Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side ManagementWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
-
2018-01-01Full publication date if available
- Authors
-
Nadeem Javaid, Ghulam Hafeez, Sohail Iqbal, Nabil Alrajeh, Mohamad Souheil Alabed, Mohsen GuizaniList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2018.2866461Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1109/access.2018.2866461Direct OA link when available
- Concepts
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Knapsack problem, Renewable energy, Smart grid, Schedule, Computer science, Mathematical optimization, Grid, Particle swarm optimization, Genetic algorithm, Energy management, Energy (signal processing), Engineering, Electrical engineering, Mathematics, Algorithm, Statistics, Geometry, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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166Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 22, 2023: 24, 2022: 31, 2021: 31Per-year citation counts (last 5 years)
- References (count)
-
37Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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