Incentive Design of Shared ESS Energy Trading Game

This study introduces a hierarchical interaction model between a shared energy storage system (ESS) operator and self-interested ESS users, referred to as the shared ESS energy trading game (EET game). In the EET game, the ESS operator sets time-varying energy selling and buying prices to regulate energy trading among ESS users. Meanwhile, the ESS users make decisions regarding their energy selling (charging energy to the shared ESS) and buying (discharging energy from the shared ESS) schedules. We model the EET game as a generalized Stackelberg game (GSG) and define a generalized Stackelberg equilibrium (GSE) to identify the optimal strategies for both the ESS operator and ESS users. Within the EET game, we prove the existence of a variational Stackelberg equilibrium (VSE), which is a GSE. To compute this equilibrium, we utilize a gradient-based algorithm that incorporates an implicit gradient. Finally, we validate our model by simulation studies using residential households’ energy demand data and show the effectiveness of our approach in reducing both total energy cost (EC) and the peak-to-average ratio (PAR).

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Publication Details

Journal
IEEE Transactions on Control Systems Technology
Published
2024-11-05
DOI
https://doi.org/10.1109/tcst.2024.3483440
Citations
2
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
0.98
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article

Incentive Design of Shared ESS Energy Trading Game

Jinkyoo Park, Jinna Yu, Jaeyeon Jo
2 citations
IEEE Transactions on Control Systems Technology
Innovation Diffusion and Forecasting
0.98
article

Incentive Design of Shared ESS Energy Trading Game

Jinkyoo Park, Jinna Yu, Jaeyeon Jo
article en
2 citations

Abstract

This study introduces a hierarchical interaction model between a shared energy storage system (ESS) operator and self-interested ESS users, referred to as the shared ESS energy trading game (EET game). In the EET game, the ESS operator sets time-varying energy selling and buying prices to regulate energy trading among ESS users. Meanwhile, the ESS users make decisions regarding their energy selling (charging energy to the shared ESS) and buying (discharging energy from the shared ESS) schedules. We model the EET game as a generalized Stackelberg game (GSG) and define a generalized Stackelberg equilibrium (GSE) to identify the optimal strategies for both the ESS operator and ESS users. Within the EET game, we prove the existence of a variational Stackelberg equilibrium (VSE), which is a GSE. To compute this equilibrium, we utilize a gradient-based algorithm that incorporates an implicit gradient. Finally, we validate our model by simulation studies using residential households’ energy demand data and show the effectiveness of our approach in reducing both total energy cost (EC) and the peak-to-average ratio (PAR).

IEEE Transactions on Control Systems TechnologyVol. 33(1)
Korea Advanced Institute of Science and Technology (KR), Daejeon Institute of Science and Technology (KR), Daejeon Health Institute of Technology (KR)
Affordable and clean energy
Openalex Percentile: Top 20%
Innovation Diffusion and Forecasting
0.98
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Incentive Design of Shared ESS Energy Trading Game — Jinkyoo Park, Jinna Yu, et al. · IEEE Transactions on Control Systems Technology (2024) | TGRS Research Map | TGRS