Skip to main navigation Skip to search Skip to main content

Risk-Sensitive Security-Constrained Economic Dispatch: Pricing and Algorithm Design

  • University of Illinois at Urbana-Champaign
  • Cornell University

Research output: Contribution to journalArticlepeer-review

Abstract

We propose a risk-sensitive security-constrained economic dispatch (R-SCED) formulation capturing the tradeoff between dispatch cost and resilience against potential line failures, where risk is modeled via the conditional value at risk (CVaR). In the context of our formulation, we analyze revenue adequacy and side payments of two pricing models, one based on nominal generation costs, and another based on total marginal cost including contingencies. In particular, we prove that the system operator’s (SO) merchandising surplus (MS) and total revenue are nonnegative under the latter, while under the former the same does not hold in general. We demonstrate that the proposed R-SCED formulation is amenable to decomposition and describe a Benders’ decomposition algorithm to solve it. In numerical examples, we illustrate the differences in MS and total revenue under the considered pricing schemes, and the computational efficiency of our decomposition approach.

Original languageEnglish
Pages (from-to)17-28
Number of pages12
JournalIEEE Transactions on Power Systems
Volume41
Issue number1
DOIs
StatePublished - 2026

Keywords

  • Security-constrained economic dispatch
  • conditional value at risk
  • locational marginal prices

Fingerprint

Dive into the research topics of 'Risk-Sensitive Security-Constrained Economic Dispatch: Pricing and Algorithm Design'. Together they form a unique fingerprint.

Cite this