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Optimizing DSO Requests Management Flexibility for Home Appliances Using CBCC-RDG3. / Bezmaslov , Mark ; Belyaev , Daniil ; Vasilev, Vladimir ; Dolgintseva , Elizaveta ; Yamshchikova, Lyubov ; Petrosian, Ovanes .

в: Computation, Том 10, № 10, 188, 2022.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Bezmaslov , M, Belyaev , D, Vasilev, V, Dolgintseva , E, Yamshchikova, L & Petrosian, O 2022, 'Optimizing DSO Requests Management Flexibility for Home Appliances Using CBCC-RDG3', Computation, Том. 10, № 10, 188.

APA

Bezmaslov , M., Belyaev , D., Vasilev, V., Dolgintseva , E., Yamshchikova, L., & Petrosian, O. (2022). Optimizing DSO Requests Management Flexibility for Home Appliances Using CBCC-RDG3. Computation, 10(10), [188].

Vancouver

Bezmaslov M, Belyaev D, Vasilev V, Dolgintseva E, Yamshchikova L, Petrosian O. Optimizing DSO Requests Management Flexibility for Home Appliances Using CBCC-RDG3. Computation. 2022;10(10). 188.

Author

Bezmaslov , Mark ; Belyaev , Daniil ; Vasilev, Vladimir ; Dolgintseva , Elizaveta ; Yamshchikova, Lyubov ; Petrosian, Ovanes . / Optimizing DSO Requests Management Flexibility for Home Appliances Using CBCC-RDG3. в: Computation. 2022 ; Том 10, № 10.

BibTeX

@article{ff73c748e4e34b0f9dc718a15ee09659,
title = "Optimizing DSO Requests Management Flexibility for Home Appliances Using CBCC-RDG3",
abstract = "This article covers a case study with homes equipped with multiple appliances for energy consumption. The central goal is to provide for aggregators{\textquoteright} flexibility in distribution networks by building an optimal schedule that takes advantage of load flexibility resources. This, in turn, allows for the re-scheduling of shifting/real-time home appliances to provision a request from a distribution system operator (DSO). The paper concludes with the consideration of the CBCC-RDG3, HyDE-DF, and genetic algorithms, which were used to find the best schedule that would be highly efficient and meet all the constraints associated with the problem that successfully demonstrate the effectiveness of this particular approach.",
author = "Mark Bezmaslov and Daniil Belyaev and Vladimir Vasilev and Elizaveta Dolgintseva and Lyubov Yamshchikova and Ovanes Petrosian",
year = "2022",
language = "English",
volume = "10",
journal = "Computation",
issn = "2079-3197",
publisher = "MDPI AG",
number = "10",

}

RIS

TY - JOUR

T1 - Optimizing DSO Requests Management Flexibility for Home Appliances Using CBCC-RDG3

AU - Bezmaslov , Mark

AU - Belyaev , Daniil

AU - Vasilev, Vladimir

AU - Dolgintseva , Elizaveta

AU - Yamshchikova, Lyubov

AU - Petrosian, Ovanes

PY - 2022

Y1 - 2022

N2 - This article covers a case study with homes equipped with multiple appliances for energy consumption. The central goal is to provide for aggregators’ flexibility in distribution networks by building an optimal schedule that takes advantage of load flexibility resources. This, in turn, allows for the re-scheduling of shifting/real-time home appliances to provision a request from a distribution system operator (DSO). The paper concludes with the consideration of the CBCC-RDG3, HyDE-DF, and genetic algorithms, which were used to find the best schedule that would be highly efficient and meet all the constraints associated with the problem that successfully demonstrate the effectiveness of this particular approach.

AB - This article covers a case study with homes equipped with multiple appliances for energy consumption. The central goal is to provide for aggregators’ flexibility in distribution networks by building an optimal schedule that takes advantage of load flexibility resources. This, in turn, allows for the re-scheduling of shifting/real-time home appliances to provision a request from a distribution system operator (DSO). The paper concludes with the consideration of the CBCC-RDG3, HyDE-DF, and genetic algorithms, which were used to find the best schedule that would be highly efficient and meet all the constraints associated with the problem that successfully demonstrate the effectiveness of this particular approach.

M3 - Article

VL - 10

JO - Computation

JF - Computation

SN - 2079-3197

IS - 10

M1 - 188

ER -

ID: 100544347