A dynamic game behavior: Demand side management based on utility maximization with renewable energy and storage integration

Wang Zhang; Guo Chen; Yu Su; Zhaoyang Dong; Jueyou Li

doi:10.1109/AUPEC.2014.6966581

A dynamic game behavior: Demand side management based on utility maximization with renewable energy and storage integration

Wang Zhang
, Guo Chen
, Yu Su
, Zhaoyang Dong
, Jueyou Li

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

10 Citations (Scopus)

Abstract

In the smart grid environment, customers are offered to participate more actively in the electricity energy market with the promise of demand side management (DSM) with distributed energy resources and energy storage. By utilizing proper incentive scheme such as dynamic pricing, numerous objectives could be achieved so that it could benefit both the utility companies and consumers. In this paper, a smart grid environment with multiple users with renewable energy and energy storage devices equipped with smart meters and energy management devices (EMD) is considered. We present a fast distributed algorithm for demand-side management based on the social welfare maximization problem under the dynamic pricing scheme. We also introduced the dynamic game to illustrate the interaction between the utility company and its subscribers, which eventually leads to an equilibrium point. The simulation result validates that the proposed demand side management framework with real time pricing has an effective impact on reducing the peak demand as well as utilizing the renewable energy resources and energy storage devices. © 2014 ACPE.

Original language	English
Title of host publication	2014 Australasian Universities Power Engineering Conference, AUPEC 2014 - Proceedings
Publisher	IEEE
ISBN (Print)	9780646923758
DOIs	https://doi.org/10.1109/AUPEC.2014.6966581
Publication status	Published - 24 Nov 2014
Externally published	Yes
Event	24th Australasian Universities Power Engineering Conference, AUPEC 2014 - Curtin University, Perth, Australia Duration: 28 Sept 2014 → 1 Oct 2014 http://aupec2014.com.au/

Conference

Conference	24th Australasian Universities Power Engineering Conference, AUPEC 2014
Place	Australia
City	Perth
Period	28/09/14 → 1/10/14
Internet address	http://aupec2014.com.au/

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

demand side management
distributed optimization
Dynamic game
real time pricing
smart grid

Access Output

10.1109/AUPEC.2014.6966581

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{3868f277b1e74dc7bf2012a1f4c780b3,

title = "A dynamic game behavior: Demand side management based on utility maximization with renewable energy and storage integration",

abstract = "In the smart grid environment, customers are offered to participate more actively in the electricity energy market with the promise of demand side management (DSM) with distributed energy resources and energy storage. By utilizing proper incentive scheme such as dynamic pricing, numerous objectives could be achieved so that it could benefit both the utility companies and consumers. In this paper, a smart grid environment with multiple users with renewable energy and energy storage devices equipped with smart meters and energy management devices (EMD) is considered. We present a fast distributed algorithm for demand-side management based on the social welfare maximization problem under the dynamic pricing scheme. We also introduced the dynamic game to illustrate the interaction between the utility company and its subscribers, which eventually leads to an equilibrium point. The simulation result validates that the proposed demand side management framework with real time pricing has an effective impact on reducing the peak demand as well as utilizing the renewable energy resources and energy storage devices. {\textcopyright} 2014 ACPE.",

keywords = "demand side management, distributed optimization, Dynamic game, real time pricing, smart grid",

author = "Wang Zhang and Guo Chen and Yu Su and Zhaoyang Dong and Jueyou Li",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 24th Australasian Universities Power Engineering Conference, AUPEC 2014 ; Conference date: 28-09-2014 Through 01-10-2014",

year = "2014",

month = nov,

day = "24",

doi = "10.1109/AUPEC.2014.6966581",

language = "English",

isbn = "9780646923758",

booktitle = "2014 Australasian Universities Power Engineering Conference, AUPEC 2014 - Proceedings",

publisher = "IEEE",

address = "United States",

url = "http://aupec2014.com.au/",

}

Zhang, W, Chen, G, Su, Y, Dong, Z & Li, J 2014, A dynamic game behavior: Demand side management based on utility maximization with renewable energy and storage integration. in 2014 Australasian Universities Power Engineering Conference, AUPEC 2014 - Proceedings., 6966581, IEEE, 24th Australasian Universities Power Engineering Conference, AUPEC 2014, Perth, Australia, 28/09/14. https://doi.org/10.1109/AUPEC.2014.6966581

A dynamic game behavior: Demand side management based on utility maximization with renewable energy and storage integration. / Zhang, Wang; Chen, Guo; Su, Yu et al.
2014 Australasian Universities Power Engineering Conference, AUPEC 2014 - Proceedings. IEEE, 2014. 6966581.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A dynamic game behavior

T2 - 24th Australasian Universities Power Engineering Conference, AUPEC 2014

AU - Zhang, Wang

AU - Chen, Guo

AU - Su, Yu

AU - Dong, Zhaoyang

AU - Li, Jueyou

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2014/11/24

Y1 - 2014/11/24

N2 - In the smart grid environment, customers are offered to participate more actively in the electricity energy market with the promise of demand side management (DSM) with distributed energy resources and energy storage. By utilizing proper incentive scheme such as dynamic pricing, numerous objectives could be achieved so that it could benefit both the utility companies and consumers. In this paper, a smart grid environment with multiple users with renewable energy and energy storage devices equipped with smart meters and energy management devices (EMD) is considered. We present a fast distributed algorithm for demand-side management based on the social welfare maximization problem under the dynamic pricing scheme. We also introduced the dynamic game to illustrate the interaction between the utility company and its subscribers, which eventually leads to an equilibrium point. The simulation result validates that the proposed demand side management framework with real time pricing has an effective impact on reducing the peak demand as well as utilizing the renewable energy resources and energy storage devices. © 2014 ACPE.

AB - In the smart grid environment, customers are offered to participate more actively in the electricity energy market with the promise of demand side management (DSM) with distributed energy resources and energy storage. By utilizing proper incentive scheme such as dynamic pricing, numerous objectives could be achieved so that it could benefit both the utility companies and consumers. In this paper, a smart grid environment with multiple users with renewable energy and energy storage devices equipped with smart meters and energy management devices (EMD) is considered. We present a fast distributed algorithm for demand-side management based on the social welfare maximization problem under the dynamic pricing scheme. We also introduced the dynamic game to illustrate the interaction between the utility company and its subscribers, which eventually leads to an equilibrium point. The simulation result validates that the proposed demand side management framework with real time pricing has an effective impact on reducing the peak demand as well as utilizing the renewable energy resources and energy storage devices. © 2014 ACPE.

KW - demand side management

KW - distributed optimization

KW - Dynamic game

KW - real time pricing

KW - smart grid

UR - https://www.scopus.com/pages/publications/84929352961

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84929352961&origin=recordpage

U2 - 10.1109/AUPEC.2014.6966581

DO - 10.1109/AUPEC.2014.6966581

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9780646923758

BT - 2014 Australasian Universities Power Engineering Conference, AUPEC 2014 - Proceedings

PB - IEEE

Y2 - 28 September 2014 through 1 October 2014

ER -

A dynamic game behavior: Demand side management based on utility maximization with renewable energy and storage integration

Abstract

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this