Considering the dynamic pricing and optimization model of the stackelberg game in which independent energy storage operations participate

This paper proposes a dynamic pricing optimization method for microgrid operators based on Stackelberg game theory, taking into account the participation of independent energy storage operators. Firstly, optimization operation models for microgrid operators and users are established separately. Then, the game relationships among operators, independent energy storage operators, and load aggregators are analyzed, and a Stackelberg game model with operators as leaders is constructed, through which the optimal electricity-heat prices are obtained by optimization solution. Finally, case study analysis verifies that the proposed optimization method with independent energy storage participation can increase the overall profits of upper-level operators while achieving peak shaving and valley filling for some energy.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/icpe64565.2024.10929380
Primary Topic
Smart Grid Energy Management
Type
article
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article

Considering the dynamic pricing and optimization model of the stackelberg game in which independent energy storage operations participate

Zhiping Ying, Xiantao Li, Heng Chen, Fang Li et al.
Smart Grid Energy Management
article

Considering the dynamic pricing and optimization model of the stackelberg game in which independent energy storage operations participate

Zhiping Ying, Xiantao Li, Heng Chen, Fang Li, Xue Ma, Jinhang Li
article en

Abstract

This paper proposes a dynamic pricing optimization method for microgrid operators based on Stackelberg game theory, taking into account the participation of independent energy storage operators. Firstly, optimization operation models for microgrid operators and users are established separately. Then, the game relationships among operators, independent energy storage operators, and load aggregators are analyzed, and a Stackelberg game model with operators as leaders is constructed, through which the optimal electricity-heat prices are obtained by optimization solution. Finally, case study analysis verifies that the proposed optimization method with independent energy storage participation can increase the overall profits of upper-level operators while achieving peak shaving and valley filling for some energy.

North China Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 73%
Smart Grid Energy Management
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Considering the dynamic pricing and optimization model of the stackelberg game in which independent energy storage operations participate — Zhiping Ying, Xiantao Li, et al. · (2024) | TGRS Research Map | TGRS