Bidding strategy of independent energy storage based on CVaR in power spot market

With the rapid development of renewable energy and the ongoing marketization of energy storage, independent energy storage (IES) faces risks arising from source-load uncertainties in spot market transactions. To better ensure the profitability of IES, this paper proposes a day-ahead bidding strategy for IES considering Conditional Value-at-Risk (CVaR). First, a bidding strategy bi-level optimization model with IES as the decision-making entity is formulated, where the upper-level model aims to maximize the market revenue of IES while incorporating CVaR as a risk management measure, and the lower-level model aims to minimize the power purchase cost of the market operator, performing the joint clearing of the energy and frequency regulation market. Then, the proposed model is transformed and solved using the Karush-Kuhn-Tucker conditions and strong duality theory. Finally, a case study based on a specific region is conducted to verify the rationality and effectiveness of the proposed model.

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Publication Details

Journal
IET conference proceedings.
Published
2026-02-19
DOI
https://doi.org/10.1049/icp.2025.3987
Primary Topic
Microgrid Control and Optimization
Type
article
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Bidding strategy of independent energy storage based on CVaR in power spot market

Qiyuan Liu, Yan Zhang, Yanyuan Qian, Zihao Tian et al.
IET conference proceedings.
Microgrid Control and Optimization
article

Bidding strategy of independent energy storage based on CVaR in power spot market

Qiyuan Liu, Yan Zhang, Yanyuan Qian, Zihao Tian, MingXing Guo, Li Lan
article en

Abstract

With the rapid development of renewable energy and the ongoing marketization of energy storage, independent energy storage (IES) faces risks arising from source-load uncertainties in spot market transactions. To better ensure the profitability of IES, this paper proposes a day-ahead bidding strategy for IES considering Conditional Value-at-Risk (CVaR). First, a bidding strategy bi-level optimization model with IES as the decision-making entity is formulated, where the upper-level model aims to maximize the market revenue of IES while incorporating CVaR as a risk management measure, and the lower-level model aims to minimize the power purchase cost of the market operator, performing the joint clearing of the energy and frequency regulation market. Then, the proposed model is transformed and solved using the Karush-Kuhn-Tucker conditions and strong duality theory. Finally, a case study based on a specific region is conducted to verify the rationality and effectiveness of the proposed model.

IET conference proceedings.Vol. 2025(38)
Shanghai Jiao Tong University (CN), Shanghai Electric (China) (CN), Economic Research Institute (BG)
Affordable and clean energy
Openalex Percentile: Top 51%
Microgrid Control and Optimization
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Bidding strategy of independent energy storage based on CVaR in power spot market — Qiyuan Liu, Yan Zhang, et al. · IET conference proceedings. (2026) | TGRS Research Map | TGRS