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Open Access

Network-Constrained Energy Consumption Game for Dynamic Pricing Markets

Yifei Wang ( ), Xiuli Wang, Yi Kuang, Qiao Peng, Hongyang Zhao, Zhidong Wang
Shannxi Key Laboratory of Smart Grid, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China
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Abstract

The electricity distribution network is experiencing a profound transformation with the concept of the smart grid, providing possibilities for selfish consumers to interact with the distribution system operator (DSO) and to maximize their individual energy consumption utilities. However, this profit-seeking behavior among consumers may violate the network constraints, such as line flows, transformer capacity and bus voltage magnitude limits. Therefore, a network-constrained energy consumption (NCEC) game among active load aggregators (ALAs) is proposed to guarantee the safety of the distribution network. The temporal and spatial constraints of an ALA are both considered, which leads the formulated model to a generalized Nash equilibrium problem (GNEP). By resorting to a well-developed variational inequality (VI) theory, we study the existence of solutions to the NCEC game problem. Subsequently, a two-level distributed algorithm is proposed to find the variational equilibrium (VE), a fair and stable solution to the formulated game model. Finally, the effectiveness of the proposed game model and the efficiency of the distributed algorithm are tested on an IEEE-33 bus system.

Keywords

Electricity distribution networkgeneralized Nash equilibrium problemnetwork-constrained energy consumption gametwo-level distributed algorithmvariational equilibrium

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CSEE Journal of Power and Energy Systems
Volume 8 Issue 2,
March 2022
Pages 548-558
DOI: 10.17775/CSEEJPES.2020.03310
Cite this article:
Wang Y, Wang X, Kuang Y, et al. Network-Constrained Energy Consumption Game for Dynamic Pricing Markets. CSEE Journal of Power and Energy Systems, 2022, 8(2): 548-558. https://doi.org/10.17775/CSEEJPES.2020.03310

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Received: 14 July 2020
Revised: 15 September 2020
Accepted: 14 October 2020
Published: 20 November 2020
© 2020 CSEE
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