A novel method for optimizing distributed generation in distribution networks using the game theory

Arash Beiranvand; Mohammad Abuhilaleh; Li Li

doi:10.1109/ICEMS.2017.8056528

A novel method for optimizing distributed generation in distribution networks using the game theory

Arash Beiranvand
, Mohammad Abuhilaleh
, Li Li

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

Abstract

In this paper, a novel method is presented to optimize distributed generation (DG) in distribution networks. The suggested method shows how DGs should change their sizes and places, if it is necessary, to improve the voltage profile and total power loss of distribution networks. For this purpose, game theory is applied to model the optimization problem. At the first step, an appropriate game based on the Nash equilibrium is suggested. Using the specific features of game theory, the procedure of decision making in the operator centers of distribution grids is considered. Then, the optimization problem is solved by finding Nash equilibrium point. To solve the Nash equilibrium, a specific kind of genetic algorithm (GA) called Nash GA is applied.

Original language	English
Title of host publication	2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538632468
DOIs	https://doi.org/10.1109/ICEMS.2017.8056528
Publication status	Published - 2 Oct 2017
Externally published	Yes
Event	20th International Conference on Electrical Machines and Systems, ICEMS 2017 - Sydney, Australia Duration: 11 Aug 2017 → 14 Aug 2017

Publication series

Name	2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017

Conference

Conference	20th International Conference on Electrical Machines and Systems, ICEMS 2017
Country/Territory	Australia
City	Sydney
Period	11/08/17 → 14/08/17

Access to Document

10.1109/ICEMS.2017.8056528

Cite this

Beiranvand, A., Abuhilaleh, M., & Li, L. (2017). A novel method for optimizing distributed generation in distribution networks using the game theory. In 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017 Article 8056528 (2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEMS.2017.8056528

Beiranvand, Arash ; Abuhilaleh, Mohammad ; Li, Li. / A novel method for optimizing distributed generation in distribution networks using the game theory. 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017).

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title = "A novel method for optimizing distributed generation in distribution networks using the game theory",

abstract = "In this paper, a novel method is presented to optimize distributed generation (DG) in distribution networks. The suggested method shows how DGs should change their sizes and places, if it is necessary, to improve the voltage profile and total power loss of distribution networks. For this purpose, game theory is applied to model the optimization problem. At the first step, an appropriate game based on the Nash equilibrium is suggested. Using the specific features of game theory, the procedure of decision making in the operator centers of distribution grids is considered. Then, the optimization problem is solved by finding Nash equilibrium point. To solve the Nash equilibrium, a specific kind of genetic algorithm (GA) called Nash GA is applied.",

author = "Arash Beiranvand and Mohammad Abuhilaleh and Li Li",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 20th International Conference on Electrical Machines and Systems, ICEMS 2017 ; Conference date: 11-08-2017 Through 14-08-2017",

year = "2017",

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doi = "10.1109/ICEMS.2017.8056528",

language = "English",

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Beiranvand, A, Abuhilaleh, M & Li, L 2017, A novel method for optimizing distributed generation in distribution networks using the game theory. in 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017., 8056528, 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017, Institute of Electrical and Electronics Engineers Inc., 20th International Conference on Electrical Machines and Systems, ICEMS 2017, Sydney, Australia, 11/08/17. https://doi.org/10.1109/ICEMS.2017.8056528

A novel method for optimizing distributed generation in distribution networks using the game theory. / Beiranvand, Arash; Abuhilaleh, Mohammad; Li, Li.
2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8056528 (2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017).

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

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AU - Abuhilaleh, Mohammad

AU - Li, Li

PY - 2017/10/2

Y1 - 2017/10/2

N2 - In this paper, a novel method is presented to optimize distributed generation (DG) in distribution networks. The suggested method shows how DGs should change their sizes and places, if it is necessary, to improve the voltage profile and total power loss of distribution networks. For this purpose, game theory is applied to model the optimization problem. At the first step, an appropriate game based on the Nash equilibrium is suggested. Using the specific features of game theory, the procedure of decision making in the operator centers of distribution grids is considered. Then, the optimization problem is solved by finding Nash equilibrium point. To solve the Nash equilibrium, a specific kind of genetic algorithm (GA) called Nash GA is applied.

AB - In this paper, a novel method is presented to optimize distributed generation (DG) in distribution networks. The suggested method shows how DGs should change their sizes and places, if it is necessary, to improve the voltage profile and total power loss of distribution networks. For this purpose, game theory is applied to model the optimization problem. At the first step, an appropriate game based on the Nash equilibrium is suggested. Using the specific features of game theory, the procedure of decision making in the operator centers of distribution grids is considered. Then, the optimization problem is solved by finding Nash equilibrium point. To solve the Nash equilibrium, a specific kind of genetic algorithm (GA) called Nash GA is applied.

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DO - 10.1109/ICEMS.2017.8056528

M3 - Conference contribution

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T3 - 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017

BT - 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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Beiranvand A, Abuhilaleh M, Li L. A novel method for optimizing distributed generation in distribution networks using the game theory. In 2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8056528. (2017 20th International Conference on Electrical Machines and Systems, ICEMS 2017). doi: 10.1109/ICEMS.2017.8056528

A novel method for optimizing distributed generation in distribution networks using the game theory

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