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Risk-Aware Battery Bidding With a Novel Benchmark Selection Under Second-Order Stochastic Dominance

Hooman Khaloie, Jamal Faraji, François Vallée, Chun Sing Lai, Jean‐François Toubeau, Loi Lei Lai

2023IEEE Transactions on Industry Applications27 citationsDOIOpen Access PDF

Abstract

This paper studies the risk management of a battery bidding in both day-ahead and intraday markets arising from the uncertain nature of electricity prices. To this end, a coherent risk measure, Second-order Stochastic Dominance (SSD), which is capable of expressing battery preferences in the form of a preset fixed benchmark (profit), is incorporated into the bidding model. The SSD serves the decision-maker as a risk-averse optimizer exploring for profit distribution members greater than a preset fixed benchmark. The most challenging facet of SSD-constrained methodologies is how to effectually define the preset fixed benchmark. In this regard, first, a generic approach is offered to find the feasible region for benchmark selection in SSD-constrained optimization problems. Then, a novel benchmark selection technique considering both the decision-maker's regret and out-of-sample profit, leverages the VIKOR method to get the ranking of different solutions and find the compromise benchmark in the risk-aware environment. Consequently, two decisive criteria from both ex- <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ante</i> and ex- <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">post</i> tests are involved in the benchmark selection procedure, making the bidding problem regret- and consequence-aware. The numerical results of the developed methodology against risk-neutral and deterministic approaches show the efficiency of the proposed model.

Topics & Concepts

BiddingBenchmark (surveying)Computer scienceRegretMathematical optimizationProfit (economics)Profit maximizationRisk neutralOperations researchEconometricsEconomicsMachine learningMathematicsMicroeconomicsGeographyGeodesySmart Grid Energy ManagementElectric Power System OptimizationEnergy Load and Power Forecasting