The Production Cost Model here is built upon code-base in GenX. GenX is an open source capacity expansion model. Unit Commitment and Economic Dispatch constraints are updated to operate on a rolling horizon preserving state information across horizons. The code provided in this update on the GenX package is meant as an experiment in comparing the GenX capacity expansion model with a production cost model that operates on a rolling horizon with different lookahead foresight policies. The code is provided replicating the experiments is provided here. Abstract: This paper considers the impact of operational uncertainty on spot price distributions and resource valuation in power markets as systems transition to high levels of wind, solar, and storage resources. In systems dominated by thermal resources with minimal storage, marginal costs and therefore market clearing prices are driven by fuel costs, enabling modelers to rely on simplified deterministic formulations to approximate price behavior. Future price formation may instead be increasingly driven by storage opportunity costs, necessitating a more sophisticated representation of uncertainty and intertemporal constraints. In this paper we describe the mechanics of price formation with storage, employ a stochastic production cost model to simulate prices in modeled future systems, and highlight the differences between the simulated revenues and those that arise in deterministic simplifications. We perform numerical tests using a plausible representation of short-term forecast uncertainty and assess the economic impact of this uncertainty across cases with different battery durations and quantities.

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