Differentially-Private Heat and Electricity Markets Coordination

Lesia Mitridati, Emma Romei, Gabriela Hug, Ferdinando Fioretto

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

Sector coordination between heat and electricity systems has been identified has an energy-efficient and cost-effective way to transition towards a more sustainable energy system. However, the coordination of sequential markets relies on the exchange of sensitive information between the market operators, namely time series of consumers' loads. To address the privacy concerns arising from this exchange, this paper introduces a novel privacy-preserving Stackel-berg mechanism (w-PPSM) which generates differentially-private data streams with high fidelity. The proposed w-PPSM enforces the feasibility and fidelity of the privacy-preserving data with respect to the original problem through a post-processing phase in order to achieve a close-to-optimal coordination between the markets. Multiple numerical simulations in a realistic energy system demonstrate the effectiveness of the w-PPSM, which achieves up to two orders of magnitude reduction in the cost of privacy compared to a traditional differentially-private mechanism.

Original languageEnglish (US)
Title of host publication2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665412117
DOIs
StatePublished - 2022
Event17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022 - Manchester, United Kingdom
Duration: Jun 12 2022Jun 15 2022

Publication series

Name2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022

Conference

Conference17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022
Country/TerritoryUnited Kingdom
CityManchester
Period6/12/226/15/22

Keywords

  • Laplace noise
  • differential privacy
  • hierarchical optimization
  • multi-energy systems
  • time series

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Statistics and Probability

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