On stochastic auctions in risk-averse electricity markets with uncertain supply
Ryan Cory-Wright, Golbon Zakeri

TL;DR
This paper analyzes how risk-averse generators behave in stochastic electricity auctions with uncertain renewable supply, providing a closed-form solution for their optimal pre-commitment strategies considering risk measures.
Contribution
It introduces a closed-form characterization of risk-averse generator behavior in stochastic auctions, accounting for risk trading and coherent risk measures.
Findings
Closed-form expression for risk-averse pre-commitment behavior
Impact of risk trading on generator strategies
Framework applicable to renewable integration in electricity markets
Abstract
This paper studies risk in a stochastic auction which facilitates the integration of renewable generation in electricity markets. We model market participants who are risk averse and reflect their risk aversion through coherent risk measures. We uncover a closed form characterization of a risk-averse generator's optimal pre-commitment behaviour for a given real-time policy, both with and without risk trading.
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