Locational Energy Storage Bid Bounds for Facilitating Social Welfare Convergence
Ning Qi, Bolun Xu

TL;DR
This paper introduces a new method for generating bid bounds for energy storage in electricity markets, aiming to reduce costs and prevent market power abuse by incorporating uncertainty and risk preferences.
Contribution
It develops a tractable chance-constrained formulation for bid bounds that adapt to system uncertainty and risk, improving social welfare and storage profitability.
Findings
Bid bounds effectively cap storage bids across all uncertainty scenarios.
Simulation shows bid bounds reduce system costs by 0.17% with increased storage profit.
Proposed bounds outperform existing deterministic bid bounds in tests.
Abstract
This paper proposes a novel method to generate bid bounds that can serve as offer caps for energy storage in electricity markets to help reduce system costs and regulate potential market power exercises. We derive the bid bounds based on a tractable multi-period economic dispatch chance-constrained formulation that systematically incorporates the uncertainty and risk preference of the system operator. The key analytical results verify that the bounds effectively cap storage bids across all uncertainty scenarios with a guaranteed confidence level. We show that bid bounds decrease as the state of charge increases but rise with greater netload uncertainty and risk preference. We test the effectiveness of the proposed pricing mechanism based on the 8-bus ISO-NE test system, including agent-based storage bidding models. Simulation results demonstrate that the proposed bid bounds effectively…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
