Networked optimization for demand side management based on non-cooperative game

Chaojie Li; Xinghuo Yu; Wenwu Yu; Tingwen Huang

doi:10.1109/INDIN.2015.7281899

Networked optimization for demand side management based on non-cooperative game

Chaojie Li, Xinghuo Yu, Wenwu Yu, Tingwen Huang

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

4 Citations (Scopus)

Abstract

In this paper, demand side management problem is reformulated by the jointly constrained noncooperative game. The corresponding networked optimization method that concentrates on seeking generalized Nash Equilibrium for noncooperative game is developed for the problem. Due to the large scale of users in demand side management, the noncooperative game based demand side management is divided into groups of sub games, which can be efficiently solved by Nikaido-Isoda function based Newton method. Simulation results verify that the effectiveness of the designed algorithm. © 2015 IEEE.

Original language	English
Title of host publication	Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015
Publisher	IEEE
Pages	1159-1164
ISBN (Print)	9781479966493
DOIs	https://doi.org/10.1109/INDIN.2015.7281899
Publication status	Published - 28 Sept 2015
Externally published	Yes
Event	13th International Conference on Industrial Informatics, INDIN 2015 - Cambridge, United Kingdom Duration: 22 Jul 2015 → 24 Jul 2015

Publication series

Name	Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015

Conference

Conference	13th International Conference on Industrial Informatics, INDIN 2015
Place	United Kingdom
City	Cambridge
Period	22/07/15 → 24/07/15

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 <a href="mailto:[email protected]">[email protected]</a>.

Funding

This publication was made possible by NPRP grant #NPRP 4-1162-1-181 from the Qatar National Research Fund (a member of Qatar Foundation), The National Natural Science Foundation of China under Grant No. 61322302, and the Australian Research Council (ARC) Discovery Scheme under Grant DP 140100544.

Research Keywords

Decision support systems

Access Output

10.1109/INDIN.2015.7281899

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Li, C., Yu, X., Yu, W., & Huang, T. (2015). Networked optimization for demand side management based on non-cooperative game. In Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015 (pp. 1159-1164). Article 7281899 (Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015). IEEE. https://doi.org/10.1109/INDIN.2015.7281899

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Li, C, Yu, X, Yu, W & Huang, T 2015, Networked optimization for demand side management based on non-cooperative game. in Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015., 7281899, Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015, IEEE, pp. 1159-1164, 13th International Conference on Industrial Informatics, INDIN 2015, Cambridge, United Kingdom, 22/07/15. https://doi.org/10.1109/INDIN.2015.7281899

Networked optimization for demand side management based on non-cooperative game. / Li, Chaojie; Yu, Xinghuo; Yu, Wenwu et al.
Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015. IEEE, 2015. p. 1159-1164 7281899 (Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015).

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

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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 <a href="mailto:[email protected]">[email protected]</a>.

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N2 - In this paper, demand side management problem is reformulated by the jointly constrained noncooperative game. The corresponding networked optimization method that concentrates on seeking generalized Nash Equilibrium for noncooperative game is developed for the problem. Due to the large scale of users in demand side management, the noncooperative game based demand side management is divided into groups of sub games, which can be efficiently solved by Nikaido-Isoda function based Newton method. Simulation results verify that the effectiveness of the designed algorithm. © 2015 IEEE.

AB - In this paper, demand side management problem is reformulated by the jointly constrained noncooperative game. The corresponding networked optimization method that concentrates on seeking generalized Nash Equilibrium for noncooperative game is developed for the problem. Due to the large scale of users in demand side management, the noncooperative game based demand side management is divided into groups of sub games, which can be efficiently solved by Nikaido-Isoda function based Newton method. Simulation results verify that the effectiveness of the designed algorithm. © 2015 IEEE.

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Networked optimization for demand side management based on non-cooperative game

Abstract

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