Network-Constrained Controllable Load Management: A Game Theoretic Approach

Yifei Wang; Xiuli Wang; Qiao Peng

doi:10.1109/ICPRE51194.2020.9233142

Network-Constrained Controllable Load Management: A Game Theoretic Approach

Yifei Wang
, Xiuli Wang
, Qiao Peng

School of Electrical Engineering

Xi'an Jiaotong University

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

Abstract

Controllable load management can effectively encourage consumers to control consumption and reduce bills. This paper considers a smart distribution system where consumers are managed by load aggregators (LAs). In the framework of dynamic pricing, the LAs must compete to obtain the satisfied consumption. However, this behavior may violate the network constraints of the distribution system. Therefore, a network-constrained energy consumption (NCEC) game model among active load aggregators (ALAs) is proposed to guarantee the safety of the distribution system. Then the generalized Nash equilibrium (GNE) for the model is proved to be exist. Furthermore, a distributed algorithm based on proximal decomposition is proposed to find one of the GNEs. Finally, the effectiveness of the proposed game model and the efficiency of the distributed algorithm are tested on an IEEE-33 bus system.

Original language	English
Title of host publication	2020 5th International Conference on Power and Renewable Energy, ICPRE 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	501-506
Number of pages	6
ISBN (Electronic)	9781728190266
DOIs	https://doi.org/10.1109/ICPRE51194.2020.9233142
State	Published - 12 Sep 2020
Event	5th International Conference on Power and Renewable Energy, ICPRE 2020 - Virtual, Shanghai, China Duration: 12 Sep 2020 → 14 Sep 2020

Publication series

Name	2020 5th International Conference on Power and Renewable Energy, ICPRE 2020

Conference

Conference	5th International Conference on Power and Renewable Energy, ICPRE 2020
Country/Territory	China
City	Virtual, Shanghai
Period	12/09/20 → 14/09/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

controllable load management
generalized Nash equilibrium
proximal decomposition
safety of the distribution system

Access to Document

10.1109/ICPRE51194.2020.9233142

Cite this

Wang, Y., Wang, X., & Peng, Q. (2020). Network-Constrained Controllable Load Management: A Game Theoretic Approach. In 2020 5th International Conference on Power and Renewable Energy, ICPRE 2020 (pp. 501-506). Article 9233142 (2020 5th International Conference on Power and Renewable Energy, ICPRE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPRE51194.2020.9233142

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title = "Network-Constrained Controllable Load Management: A Game Theoretic Approach",

abstract = "Controllable load management can effectively encourage consumers to control consumption and reduce bills. This paper considers a smart distribution system where consumers are managed by load aggregators (LAs). In the framework of dynamic pricing, the LAs must compete to obtain the satisfied consumption. However, this behavior may violate the network constraints of the distribution system. Therefore, a network-constrained energy consumption (NCEC) game model among active load aggregators (ALAs) is proposed to guarantee the safety of the distribution system. Then the generalized Nash equilibrium (GNE) for the model is proved to be exist. Furthermore, a distributed algorithm based on proximal decomposition is proposed to find one of the GNEs. Finally, the effectiveness of the proposed game model and the efficiency of the distributed algorithm are tested on an IEEE-33 bus system.",

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author = "Yifei Wang and Xiuli Wang and Qiao Peng",

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year = "2020",

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doi = "10.1109/ICPRE51194.2020.9233142",

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Wang, Y, Wang, X & Peng, Q 2020, Network-Constrained Controllable Load Management: A Game Theoretic Approach. in 2020 5th International Conference on Power and Renewable Energy, ICPRE 2020., 9233142, 2020 5th International Conference on Power and Renewable Energy, ICPRE 2020, Institute of Electrical and Electronics Engineers Inc., pp. 501-506, 5th International Conference on Power and Renewable Energy, ICPRE 2020, Virtual, Shanghai, China, 12/09/20. https://doi.org/10.1109/ICPRE51194.2020.9233142

Network-Constrained Controllable Load Management: A Game Theoretic Approach. / Wang, Yifei; Wang, Xiuli; Peng, Qiao.
2020 5th International Conference on Power and Renewable Energy, ICPRE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 501-506 9233142 (2020 5th International Conference on Power and Renewable Energy, ICPRE 2020).

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

TY - GEN

T1 - Network-Constrained Controllable Load Management

T2 - 5th International Conference on Power and Renewable Energy, ICPRE 2020

AU - Wang, Yifei

AU - Wang, Xiuli

AU - Peng, Qiao

PY - 2020/9/12

Y1 - 2020/9/12

N2 - Controllable load management can effectively encourage consumers to control consumption and reduce bills. This paper considers a smart distribution system where consumers are managed by load aggregators (LAs). In the framework of dynamic pricing, the LAs must compete to obtain the satisfied consumption. However, this behavior may violate the network constraints of the distribution system. Therefore, a network-constrained energy consumption (NCEC) game model among active load aggregators (ALAs) is proposed to guarantee the safety of the distribution system. Then the generalized Nash equilibrium (GNE) for the model is proved to be exist. Furthermore, a distributed algorithm based on proximal decomposition is proposed to find one of the GNEs. Finally, the effectiveness of the proposed game model and the efficiency of the distributed algorithm are tested on an IEEE-33 bus system.

AB - Controllable load management can effectively encourage consumers to control consumption and reduce bills. This paper considers a smart distribution system where consumers are managed by load aggregators (LAs). In the framework of dynamic pricing, the LAs must compete to obtain the satisfied consumption. However, this behavior may violate the network constraints of the distribution system. Therefore, a network-constrained energy consumption (NCEC) game model among active load aggregators (ALAs) is proposed to guarantee the safety of the distribution system. Then the generalized Nash equilibrium (GNE) for the model is proved to be exist. Furthermore, a distributed algorithm based on proximal decomposition is proposed to find one of the GNEs. Finally, the effectiveness of the proposed game model and the efficiency of the distributed algorithm are tested on an IEEE-33 bus system.

KW - controllable load management

KW - generalized Nash equilibrium

KW - proximal decomposition

KW - safety of the distribution system

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U2 - 10.1109/ICPRE51194.2020.9233142

DO - 10.1109/ICPRE51194.2020.9233142

M3 - 会议稿件

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PB - Institute of Electrical and Electronics Engineers Inc.

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Wang Y, Wang X, Peng Q. Network-Constrained Controllable Load Management: A Game Theoretic Approach. In 2020 5th International Conference on Power and Renewable Energy, ICPRE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 501-506. 9233142. (2020 5th International Conference on Power and Renewable Energy, ICPRE 2020). doi: 10.1109/ICPRE51194.2020.9233142

Network-Constrained Controllable Load Management: A Game Theoretic Approach

Abstract

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UN SDGs

Keywords

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