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02014nam a2200385Ia 4500 |
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10.3390-en16093699 |
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230526s2023 CNT 000 0 und d |
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|a 19961073 (ISSN)
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| 245 |
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|a Integrating Internet-of-Things-Based Houses into Demand Response Programs in Smart Grid
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|b MDPI
|c 2023
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|z View Fulltext in Publisher
|u https://doi.org/10.3390/en16093699
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|a This paper presents a novel framework that mathematically and optimally quantifies demand response (DR) provisions, considering the power availability of Internet of Things (IoT)-based house load management for the provision of flexibility in the smart grid. The proposed framework first models house loads using IoT windows and occupant behavior, and then integrates IoT-based house loads into DR programs based on a novel mathematical optimization model to provide the optimal power flexibility considering the penetration of IoT-based houses in distribution systems. Numerical results that consider a 33-bus distribution system are reported and discussed to demonstrate the effectiveness of flexibility provisions, from integrating IoT-based houses into DR programs, on peak load reduction and system capacity enhancement. © 2023 by the author.
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|a Demand response
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|a Demand response programs
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|a Distribution systems
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|a Electric load management
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|a Electric power distribution
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|a Electric power plant loads
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|a flexibility
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|a Flexibility
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|a Houses
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|a Internet of things
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|a Internet of Things
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|a load management
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|a Load management
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|a mathematical model
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|a Mathematical optimization model
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|a Occupants behaviours
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|a Optimal power
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|a Optimization
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|a Power
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|a Smart grid
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|a Smart power grids
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|a Alharbi, W.
|e author
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| 773 |
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|t Energies
|x 19961073 (ISSN)
|g 16 9
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