Energy Storage Arbitrage Under Price Uncertainty: Market Risks and Opportunities
Yiqian Wu, Bolun Xu, James Anderson

TL;DR
This paper examines how energy storage arbitrage profits are affected by market price uncertainties, comparing different optimization methods and uncertainty models to guide risk-aware decision-making.
Contribution
It introduces a comprehensive analysis of robust and chance-constrained optimization approaches for energy storage arbitrage under various uncertainty representations.
Findings
Robust strategies outperform in risk management during high volatility.
Efficient frontiers effectively illustrate risk-profit tradeoffs.
Uncertainty impacts arbitrage profitability and strategy selection.
Abstract
We investigate the profitability and risk of energy storage arbitrage in electricity markets under price uncertainty, exploring both robust and chance-constrained optimization approaches. We analyze various uncertainty representations, including polyhedral, ellipsoidal uncertainty sets and probabilistic approximations, to model price fluctuations and construct efficient frontiers that highlight the tradeoff between risk and profit. Using historical electricity price data, we quantify the impact of uncertainty on arbitrage strategies and compare their performance under distinct market conditions. The results reveal that arbitrage strategies under uncertainties can effectively secure expected profits, and robust strategies perform better in risk management across varying levels of conservativeness, especially under highly volatile market conditions. This work provides insights into…
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Taxonomy
TopicsSmart Grid Energy Management · Market Dynamics and Volatility · Electric Power System Optimization
