Comprehensive framework for smart residential demand side management with electric vehicle integration and advanced optimization techniques Article Swipe
Subhasis Panda
,
Indu Sekhar Samanta
,
Buddhadeva Sahoo
,
Pravat Kumar Rout
,
Binod Kumar Sahu
,
Mohit Bajaj
,
Vojtěch Blažek
,
Lukáš Prokop
,
Stanislav Mišák
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-025-93817-5
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-025-93817-5
The exponential deployment of electric vehicles (EVs) in the residential sectors in recent years allows better energy utilization in the decentralized and centralized levels of distribution systems due to their bidirectional operation and energy storage capabilities. However, to execute these, it is necessary to adopt residential demand side management (RDSM) to schedule energy utilization effectively to fetch economical and efficient energy consumption and grid stability and reliability, particularly during peak load conditions. The paper aims to formulate a robust and efficient RDSM technique to provide an energy utilization scheduling considering various influential factors and critical roles of EVs in RDSM. A Binary Whale Optimization Algorithm (BWOA) approach is proposed as an efficient algorithm for EV's impact on the RDSM for better energy scheduling. A single-objective formulation is presented with detailed modelling considering economic energy utilization as the primary objective with all possible equality and inequality system operational constraints. Secondly, the impact of EVs on the RDSM is studied from various perspectives in result analysis, considering EVs as load, storage devices, and different bidirectional modes of operation with other vehicles, residential components, and grids. In addition, the EVs role and the mutual influence with the integration of renewable energy sources (RES) and energy storage devices (ESDs) are extensively analyzed to provide better residential energy management (REM) in terms of economic, environmental, robust, and reliable points of view. The load priority based on consumer choice is also incorporated in the formulation. Extensive simulation is done for the proposed approach to show the effect of EVs on REM, and the results are impressive to show the EV's role as a load, as a storage device, and as a mutually supportive device to RES, ESD, and grid.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-025-93817-5
- https://www.nature.com/articles/s41598-025-93817-5.pdf
- OA Status
- gold
- Cited By
- 13
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408725402
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408725402Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-025-93817-5Digital Object Identifier
- Title
-
Comprehensive framework for smart residential demand side management with electric vehicle integration and advanced optimization techniquesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-03-22Full publication date if available
- Authors
-
Subhasis Panda, Indu Sekhar Samanta, Buddhadeva Sahoo, Pravat Kumar Rout, Binod Kumar Sahu, Mohit Bajaj, Vojtěch Blažek, Lukáš Prokop, Stanislav MišákList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-025-93817-5Publisher landing page
- PDF URL
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https://www.nature.com/articles/s41598-025-93817-5.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-025-93817-5.pdfDirect OA link when available
- Concepts
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Computer science, Electric vehicle, Demand side, Data science, Environmental economics, Power (physics), Economics, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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13Total citation count in OpenAlex
- Citations by year (recent)
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2025: 13Per-year citation counts (last 5 years)
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59Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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