Risk Trading in a Chance-Constrained Stochastic Electricity Market

Robert Mieth, Matt Roveto, Yury Dvorkin

Research output: Contribution to journalArticlepeer-review


Existing electricity market designs assume risk neutrality and lack risk-hedging instruments, which leads to suboptimal market outcomes and reduces the overall market efficiency. This letter enables risk-trading in the chance-constrained stochastic electricity market by introducing Arrow-Debreu Securities (ADS) and derives a risk-averse market-clearing model with risk trading. To enable risk trading, the probability space of underlying uncertainty is discretized in a finite number of outcomes, which makes it possible to design practical risk contracts and to produce energy, balancing reserve and risk prices. Notably, although risk contracts are discrete, the model preserves the continuity of chance constraints. The case study illustrates the usefulness of the proposed risk-averse chance-constrained electricity market with risk trading.

Original languageEnglish (US)
Article number9109293
Pages (from-to)199-204
Number of pages6
JournalIEEE Control Systems Letters
Issue number1
StatePublished - Jan 2021


  • Chance constraints
  • risk
  • stochastic electricity market

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization


Dive into the research topics of 'Risk Trading in a Chance-Constrained Stochastic Electricity Market'. Together they form a unique fingerprint.

Cite this