Online Voltage Regulation of Distribution Networks in Energy Sharing Markets: A Feedback-Based Method With Parameter Estimation

With the number of prosumers rising quickly, energy sharing markets in distribution networks are emerging. The trading of active power influences the power flow in the distribution network, which will cause voltage fluctuation when the line resistance is not trivial. In this paper, we investigate the voltage regulation problem of distribution networks with the consideration of electricity markets. We first formulate the problem in the form of a non-cooperative game. The uniqueness of generalized Nash Equilibrium (GNE) is proved. Then, a feedback-based GNE seeking algorithm is proposed with online parameter estimation without knowing accurate values of resistance and reactance. The estimation error is proved to be accurate in expectation. The convergence of the algorithm is also guaranteed theoretically. Finally, numerical results in the IEEE 33-bus system validate the effectiveness of the algorithm.

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Publication Details

Journal
IEEE Transactions on Smart Grid
Published
2025-03-28
DOI
https://doi.org/10.1109/tsg.2025.3555320
Primary Topic
Smart Grid Energy Management
Type
article
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article

Online Voltage Regulation of Distribution Networks in Energy Sharing Markets: A Feedback-Based Method With Parameter Estimation

Wenyue Wang, Zhaojian Wang, Yiming Liu
IEEE Transactions on Smart Grid
Smart Grid Energy Management
article

Online Voltage Regulation of Distribution Networks in Energy Sharing Markets: A Feedback-Based Method With Parameter Estimation

Wenyue Wang, Zhaojian Wang, Yiming Liu
article en

Abstract

With the number of prosumers rising quickly, energy sharing markets in distribution networks are emerging. The trading of active power influences the power flow in the distribution network, which will cause voltage fluctuation when the line resistance is not trivial. In this paper, we investigate the voltage regulation problem of distribution networks with the consideration of electricity markets. We first formulate the problem in the form of a non-cooperative game. The uniqueness of generalized Nash Equilibrium (GNE) is proved. Then, a feedback-based GNE seeking algorithm is proposed with online parameter estimation without knowing accurate values of resistance and reactance. The estimation error is proved to be accurate in expectation. The convergence of the algorithm is also guaranteed theoretically. Finally, numerical results in the IEEE 33-bus system validate the effectiveness of the algorithm.

IEEE Transactions on Smart GridVol. 16(4)
Shanghai Jiao Tong University (CN)
Affordable and clean energy
Openalex Percentile: Top 95%
Smart Grid Energy Management
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