Capacity tariff mechanism design for grid-side energy storage in China: A Stackelberg game approach

In recent years, China has been developing large-scale grid-side energy storage facilities. However, the deployment of grid-side energy storage has primarily depended on government subsidies. This paper proposes a capacity tariff mechanism for grid-side energy storage using a Stackelberg game framework, where the grid operator acts as the leader and storage operators act as followers. The results demonstrate that the proposed capacity tariff method effectively balances the storage revenue with grid operational costs, ensuring fair capacity tariffs. Compared to traditional capacity tariff methods, this approach enhances renewable energy use and reduces grid costs, supporting energy transition and sustainable development. • Proposes a capacity tariff mechanism for grid-side energy storage using Stackelberg game theory. • A bi-level model capturing the interaction between grid operator and storage operators is developed. • Reveals the impact of capacity tariffs on the optimal allocation and market behavior of energy storage systems.

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Publication Details

Journal
Utilities Policy
Published
2025-05-17
DOI
https://doi.org/10.1016/j.jup.2025.101963
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
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article

Capacity tariff mechanism design for grid-side energy storage in China: A Stackelberg game approach

Shanshan Huang, Ze Ye, Yunxiang Huang
1 links
Utilities Policy
Smart Grid Energy Management
article

Capacity tariff mechanism design for grid-side energy storage in China: A Stackelberg game approach

Shanshan Huang, Ze Ye, Yunxiang Huang
article en

Abstract

In recent years, China has been developing large-scale grid-side energy storage facilities. However, the deployment of grid-side energy storage has primarily depended on government subsidies. This paper proposes a capacity tariff mechanism for grid-side energy storage using a Stackelberg game framework, where the grid operator acts as the leader and storage operators act as followers. The results demonstrate that the proposed capacity tariff method effectively balances the storage revenue with grid operational costs, ensuring fair capacity tariffs. Compared to traditional capacity tariff methods, this approach enhances renewable energy use and reduces grid costs, supporting energy transition and sustainable development. • Proposes a capacity tariff mechanism for grid-side energy storage using Stackelberg game theory. • A bi-level model capturing the interaction between grid operator and storage operators is developed. • Reveals the impact of capacity tariffs on the optimal allocation and market behavior of energy storage systems.

Utilities PolicyVol. 95
Changsha University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 91%
Smart Grid Energy Management
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