Data scheduling based on pricing strategy and priority over smart grid

Dongfeng Fang; Zhou Su; Qichao Xu; Zejun Xu

doi:10.1007/978-3-662-45286-8_49

Data scheduling based on pricing strategy and priority over smart grid

Dongfeng Fang
, Zhou Su
, Qichao Xu
, Zejun Xu

Shanghai University
Waseda University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

Smart Grid has emerged as the next generation power systems. However, the classical scheduling methods are still not suitable for describing the exact feature of data transmission over smart grid because of its different properties from other conventional power systems. Hence, in this paper, by considering both consumers’ and power supplies’ perspective, different pricing strategies are presented based on user priority and load rate. And the corresponding novel scheduling algorithms are also proposed. The simulation experiments are carried out by comparing the proposed algorithms with other existing scheduling algorithms.

Original language	English
Title of host publication	Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings
Editors	Kang Li, Yusheng Xue, Shumei Cui, Qun Niu
Publisher	Springer Verlag
Pages	469-475
Number of pages	7
ISBN (Electronic)	9783662452851
DOIs	https://doi.org/10.1007/978-3-662-45286-8_49
State	Published - 2014
Externally published	Yes

Publication series

Name	Communications in Computer and Information Science
Volume	463
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Load Rate
Pricing
Priority
Scheduling
Smart Grid

Access to Document

10.1007/978-3-662-45286-8_49

Cite this

Fang, D., Su, Z., Xu, Q., & Xu, Z. (2014). Data scheduling based on pricing strategy and priority over smart grid. In K. Li, Y. Xue, S. Cui, & Q. Niu (Eds.), Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings (pp. 469-475). (Communications in Computer and Information Science; Vol. 463). Springer Verlag. https://doi.org/10.1007/978-3-662-45286-8_49

Fang, Dongfeng ; Su, Zhou ; Xu, Qichao et al. / Data scheduling based on pricing strategy and priority over smart grid. Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings. editor / Kang Li ; Yusheng Xue ; Shumei Cui ; Qun Niu. Springer Verlag, 2014. pp. 469-475 (Communications in Computer and Information Science).

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title = "Data scheduling based on pricing strategy and priority over smart grid",

abstract = "Smart Grid has emerged as the next generation power systems. However, the classical scheduling methods are still not suitable for describing the exact feature of data transmission over smart grid because of its different properties from other conventional power systems. Hence, in this paper, by considering both consumers{\textquoteright} and power supplies{\textquoteright} perspective, different pricing strategies are presented based on user priority and load rate. And the corresponding novel scheduling algorithms are also proposed. The simulation experiments are carried out by comparing the proposed algorithms with other existing scheduling algorithms.",

keywords = "Load Rate, Pricing, Priority, Scheduling, Smart Grid",

author = "Dongfeng Fang and Zhou Su and Qichao Xu and Zejun Xu",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2014.",

year = "2014",

doi = "10.1007/978-3-662-45286-8\_49",

language = "英语",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "469--475",

editor = "Kang Li and Yusheng Xue and Shumei Cui and Qun Niu",

booktitle = "Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings",

}

Fang, D, Su, Z, Xu, Q & Xu, Z 2014, Data scheduling based on pricing strategy and priority over smart grid. in K Li, Y Xue, S Cui & Q Niu (eds), Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings. Communications in Computer and Information Science, vol. 463, Springer Verlag, pp. 469-475. https://doi.org/10.1007/978-3-662-45286-8_49

Data scheduling based on pricing strategy and priority over smart grid. / Fang, Dongfeng; Su, Zhou; Xu, Qichao et al.
Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings. ed. / Kang Li; Yusheng Xue; Shumei Cui; Qun Niu. Springer Verlag, 2014. p. 469-475 (Communications in Computer and Information Science; Vol. 463).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Data scheduling based on pricing strategy and priority over smart grid

AU - Fang, Dongfeng

AU - Su, Zhou

AU - Xu, Qichao

AU - Xu, Zejun

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2014.

PY - 2014

Y1 - 2014

N2 - Smart Grid has emerged as the next generation power systems. However, the classical scheduling methods are still not suitable for describing the exact feature of data transmission over smart grid because of its different properties from other conventional power systems. Hence, in this paper, by considering both consumers’ and power supplies’ perspective, different pricing strategies are presented based on user priority and load rate. And the corresponding novel scheduling algorithms are also proposed. The simulation experiments are carried out by comparing the proposed algorithms with other existing scheduling algorithms.

AB - Smart Grid has emerged as the next generation power systems. However, the classical scheduling methods are still not suitable for describing the exact feature of data transmission over smart grid because of its different properties from other conventional power systems. Hence, in this paper, by considering both consumers’ and power supplies’ perspective, different pricing strategies are presented based on user priority and load rate. And the corresponding novel scheduling algorithms are also proposed. The simulation experiments are carried out by comparing the proposed algorithms with other existing scheduling algorithms.

KW - Load Rate

KW - Pricing

KW - Priority

KW - Scheduling

KW - Smart Grid

UR - https://www.scopus.com/pages/publications/84908537994

U2 - 10.1007/978-3-662-45286-8_49

DO - 10.1007/978-3-662-45286-8_49

M3 - 章节

AN - SCOPUS:84908537994

T3 - Communications in Computer and Information Science

SP - 469

EP - 475

BT - Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings

A2 - Li, Kang

A2 - Xue, Yusheng

A2 - Cui, Shumei

A2 - Niu, Qun

PB - Springer Verlag

ER -

Fang D, Su Z, Xu Q, Xu Z. Data scheduling based on pricing strategy and priority over smart grid. In Li K, Xue Y, Cui S, Niu Q, editors, Intelligent Computing in Smart Grid and Electrical Vehicles - International Conference on Life System Modeling and Simulation, LSMS 2014 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, Proceedings. Springer Verlag. 2014. p. 469-475. (Communications in Computer and Information Science). doi: 10.1007/978-3-662-45286-8_49

Data scheduling based on pricing strategy and priority over smart grid

Abstract

Publication series

UN SDGs

Keywords

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