Real-Time pricing strategy with multi-retailers based on network stability

Huwei Chen; Zhou Su; Dongfeng Fang; Hui Hui

doi:10.1109/SmartGridComm.2015.7436400

Real-Time pricing strategy with multi-retailers based on network stability

Huwei Chen
, Zhou Su
, Dongfeng Fang
, Hui Hui

Shanghai University

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

2 Scopus citations

Abstract

With the consideration of network stability in the cognitive radio enabled smart grid, this paper proposes a novel real-Time pricing strategy with multi-retailers. Firstly, the model of power supply for multiple-retailers is developed, according to users' demand, retailers' power supply, and data transmission among multiple-retailers. Secondly, we present an effective real time pricing strategy with the Stackelberg dynamic game model, where the optimal price is obtained by the Nash equilibrium solution. At last, simulation results are shown to prove efficiency of the proposed strategy.

Original language	English
Title of host publication	2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	804-808
Number of pages	5
ISBN (Electronic)	9781467382892
DOIs	https://doi.org/10.1109/SmartGridComm.2015.7436400
State	Published - 17 Mar 2016
Externally published	Yes
Event	IEEE International Conference on Smart Grid Communications, SmartGridComm 2015 - Miami, United States Duration: 1 Nov 2015 → 5 Nov 2015

Publication series

Name	2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015

Conference

Conference	IEEE International Conference on Smart Grid Communications, SmartGridComm 2015
Country/Territory	United States
City	Miami
Period	1/11/15 → 5/11/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Cognitive radio
Network stability
Real-Time pricing strategy
Smart grid

Access to Document

10.1109/SmartGridComm.2015.7436400

Cite this

Chen, H., Su, Z., Fang, D., & Hui, H. (2016). Real-Time pricing strategy with multi-retailers based on network stability. In 2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015 (pp. 804-808). Article 7436400 (2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartGridComm.2015.7436400

Chen, Huwei ; Su, Zhou ; Fang, Dongfeng et al. / Real-Time pricing strategy with multi-retailers based on network stability. 2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 804-808 (2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015).

@inproceedings{ff89d5e454704ddeac32cd592fbe4d58,

title = "Real-Time pricing strategy with multi-retailers based on network stability",

abstract = "With the consideration of network stability in the cognitive radio enabled smart grid, this paper proposes a novel real-Time pricing strategy with multi-retailers. Firstly, the model of power supply for multiple-retailers is developed, according to users' demand, retailers' power supply, and data transmission among multiple-retailers. Secondly, we present an effective real time pricing strategy with the Stackelberg dynamic game model, where the optimal price is obtained by the Nash equilibrium solution. At last, simulation results are shown to prove efficiency of the proposed strategy.",

keywords = "Cognitive radio, Network stability, Real-Time pricing strategy, Smart grid",

author = "Huwei Chen and Zhou Su and Dongfeng Fang and Hui Hui",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Smart Grid Communications, SmartGridComm 2015 ; Conference date: 01-11-2015 Through 05-11-2015",

year = "2016",

month = mar,

day = "17",

doi = "10.1109/SmartGridComm.2015.7436400",

language = "英语",

series = "2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "804--808",

booktitle = "2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015",

}

Chen, H, Su, Z, Fang, D & Hui, H 2016, Real-Time pricing strategy with multi-retailers based on network stability. in 2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015., 7436400, 2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015, Institute of Electrical and Electronics Engineers Inc., pp. 804-808, IEEE International Conference on Smart Grid Communications, SmartGridComm 2015, Miami, United States, 1/11/15. https://doi.org/10.1109/SmartGridComm.2015.7436400

Real-Time pricing strategy with multi-retailers based on network stability. / Chen, Huwei; Su, Zhou; Fang, Dongfeng et al.
2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 804-808 7436400 (2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015).

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

TY - GEN

T1 - Real-Time pricing strategy with multi-retailers based on network stability

AU - Chen, Huwei

AU - Su, Zhou

AU - Fang, Dongfeng

AU - Hui, Hui

PY - 2016/3/17

Y1 - 2016/3/17

N2 - With the consideration of network stability in the cognitive radio enabled smart grid, this paper proposes a novel real-Time pricing strategy with multi-retailers. Firstly, the model of power supply for multiple-retailers is developed, according to users' demand, retailers' power supply, and data transmission among multiple-retailers. Secondly, we present an effective real time pricing strategy with the Stackelberg dynamic game model, where the optimal price is obtained by the Nash equilibrium solution. At last, simulation results are shown to prove efficiency of the proposed strategy.

AB - With the consideration of network stability in the cognitive radio enabled smart grid, this paper proposes a novel real-Time pricing strategy with multi-retailers. Firstly, the model of power supply for multiple-retailers is developed, according to users' demand, retailers' power supply, and data transmission among multiple-retailers. Secondly, we present an effective real time pricing strategy with the Stackelberg dynamic game model, where the optimal price is obtained by the Nash equilibrium solution. At last, simulation results are shown to prove efficiency of the proposed strategy.

KW - Cognitive radio

KW - Network stability

KW - Real-Time pricing strategy

KW - Smart grid

UR - https://www.scopus.com/pages/publications/84964992899

U2 - 10.1109/SmartGridComm.2015.7436400

DO - 10.1109/SmartGridComm.2015.7436400

M3 - 会议稿件

AN - SCOPUS:84964992899

T3 - 2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015

SP - 804

EP - 808

BT - 2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Smart Grid Communications, SmartGridComm 2015

Y2 - 1 November 2015 through 5 November 2015

ER -

Chen H, Su Z, Fang D, Hui H. Real-Time pricing strategy with multi-retailers based on network stability. In 2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 804-808. 7436400. (2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015). doi: 10.1109/SmartGridComm.2015.7436400

Real-Time pricing strategy with multi-retailers based on network stability

Abstract

Publication series

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UN SDGs

Keywords

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