Distributed real-time pricing scheme for local power supplier in smart community

Lan Mu; Nuo Yu; Hejiao Huang; Hongwei Du; Xiaohua Jia

doi:10.1109/ICPADS.2016.0015

Distributed real-time pricing scheme for local power supplier in smart community

Lan Mu
, Nuo Yu
, Hejiao Huang
, Hongwei Du
, Xiaohua Jia

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

9 Scopus citations

Abstract

In this paper, we consider the real-time pricing problem for a small scale local power supplier (LPS) in a smart energy community. The LPS supplies power to the residential users (RUs) in a local area and sells the remaining power to the main grid. Since the selling price to the main grid is relative low, LPS intends to sell more power to the RUs with an appropriate price. The LPS determines the price based on the proposed pricing scheme to maximize its revenue. The price is informed to RUs through the communication infrastructure. According to the announced price of LPS, each RU schedules its power consumption to maximize its utility. We model the interactions between the local power supplier and all users as a one-leader multi-followers Stackelberg game, where the LPS acts as the leader and RUs act as the followers. To address this problem, a distributed algorithm based on information exchange between the LPS and RUs is proposed. Simulation results show that the distributed algorithm converges to the Stackelberg equilibrium.

Original language	English
Title of host publication	Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016
Editors	Xiaofei Liao, Robert Lovas, Xipeng Shen, Ran Zheng
Publisher	IEEE Computer Society
Pages	40-47
Number of pages	8
ISBN (Electronic)	9781509044573
DOIs	https://doi.org/10.1109/ICPADS.2016.0015
State	Published - 2 Jul 2016
Externally published	Yes
Event	22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016 - Wuhan, Hubei, China Duration: 13 Dec 2016 → 16 Dec 2016

Publication series

Name	Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume	0
ISSN (Print)	1521-9097

Conference

Conference	22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016
Country/Territory	China
City	Wuhan, Hubei
Period	13/12/16 → 16/12/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Demand response
Distributed algorithm
Distributed real-time pricing
Energy storage
Smart grid
Stackelberg game

Access to Document

10.1109/ICPADS.2016.0015

Cite this

Mu, L., Yu, N., Huang, H., Du, H., & Jia, X. (2016). Distributed real-time pricing scheme for local power supplier in smart community. In X. Liao, R. Lovas, X. Shen, & R. Zheng (Eds.), Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016 (pp. 40-47). Article 7823730 (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS; Vol. 0). IEEE Computer Society. https://doi.org/10.1109/ICPADS.2016.0015

Mu, Lan ; Yu, Nuo ; Huang, Hejiao et al. / Distributed real-time pricing scheme for local power supplier in smart community. Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016. editor / Xiaofei Liao ; Robert Lovas ; Xipeng Shen ; Ran Zheng. IEEE Computer Society, 2016. pp. 40-47 (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS).

@inproceedings{862df43b1c524239bdff2a4c6ec9b459,

title = "Distributed real-time pricing scheme for local power supplier in smart community",

abstract = "In this paper, we consider the real-time pricing problem for a small scale local power supplier (LPS) in a smart energy community. The LPS supplies power to the residential users (RUs) in a local area and sells the remaining power to the main grid. Since the selling price to the main grid is relative low, LPS intends to sell more power to the RUs with an appropriate price. The LPS determines the price based on the proposed pricing scheme to maximize its revenue. The price is informed to RUs through the communication infrastructure. According to the announced price of LPS, each RU schedules its power consumption to maximize its utility. We model the interactions between the local power supplier and all users as a one-leader multi-followers Stackelberg game, where the LPS acts as the leader and RUs act as the followers. To address this problem, a distributed algorithm based on information exchange between the LPS and RUs is proposed. Simulation results show that the distributed algorithm converges to the Stackelberg equilibrium.",

keywords = "Demand response, Distributed algorithm, Distributed real-time pricing, Energy storage, Smart grid, Stackelberg game",

author = "Lan Mu and Nuo Yu and Hejiao Huang and Hongwei Du and Xiaohua Jia",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016 ; Conference date: 13-12-2016 Through 16-12-2016",

year = "2016",

month = jul,

day = "2",

doi = "10.1109/ICPADS.2016.0015",

language = "英语",

series = "Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS",

publisher = "IEEE Computer Society",

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}

Mu, L, Yu, N, Huang, H , Du, H & Jia, X 2016, Distributed real-time pricing scheme for local power supplier in smart community. in X Liao, R Lovas, X Shen & R Zheng (eds), Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016., 7823730, Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS, vol. 0, IEEE Computer Society, pp. 40-47, 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016, Wuhan, Hubei, China, 13/12/16. https://doi.org/10.1109/ICPADS.2016.0015

Distributed real-time pricing scheme for local power supplier in smart community. / Mu, Lan; Yu, Nuo; Huang, Hejiao et al.
Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016. ed. / Xiaofei Liao; Robert Lovas; Xipeng Shen; Ran Zheng. IEEE Computer Society, 2016. p. 40-47 7823730 (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS; Vol. 0).

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

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N2 - In this paper, we consider the real-time pricing problem for a small scale local power supplier (LPS) in a smart energy community. The LPS supplies power to the residential users (RUs) in a local area and sells the remaining power to the main grid. Since the selling price to the main grid is relative low, LPS intends to sell more power to the RUs with an appropriate price. The LPS determines the price based on the proposed pricing scheme to maximize its revenue. The price is informed to RUs through the communication infrastructure. According to the announced price of LPS, each RU schedules its power consumption to maximize its utility. We model the interactions between the local power supplier and all users as a one-leader multi-followers Stackelberg game, where the LPS acts as the leader and RUs act as the followers. To address this problem, a distributed algorithm based on information exchange between the LPS and RUs is proposed. Simulation results show that the distributed algorithm converges to the Stackelberg equilibrium.

AB - In this paper, we consider the real-time pricing problem for a small scale local power supplier (LPS) in a smart energy community. The LPS supplies power to the residential users (RUs) in a local area and sells the remaining power to the main grid. Since the selling price to the main grid is relative low, LPS intends to sell more power to the RUs with an appropriate price. The LPS determines the price based on the proposed pricing scheme to maximize its revenue. The price is informed to RUs through the communication infrastructure. According to the announced price of LPS, each RU schedules its power consumption to maximize its utility. We model the interactions between the local power supplier and all users as a one-leader multi-followers Stackelberg game, where the LPS acts as the leader and RUs act as the followers. To address this problem, a distributed algorithm based on information exchange between the LPS and RUs is proposed. Simulation results show that the distributed algorithm converges to the Stackelberg equilibrium.

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KW - Energy storage

KW - Smart grid

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A2 - Zheng, Ran

PB - IEEE Computer Society

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Y2 - 13 December 2016 through 16 December 2016

ER -

Mu L, Yu N, Huang H , Du H, Jia X. Distributed real-time pricing scheme for local power supplier in smart community. In Liao X, Lovas R, Shen X, Zheng R, editors, Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016. IEEE Computer Society. 2016. p. 40-47. 7823730. (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS). doi: 10.1109/ICPADS.2016.0015

Distributed real-time pricing scheme for local power supplier in smart community

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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