TY - GEN
T1 - Differentially-Private Heat and Electricity Markets Coordination
AU - Mitridati, Lesia
AU - Romei, Emma
AU - Hug, Gabriela
AU - Fioretto, Ferdinando
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Laplace noise
KW - differential privacy
KW - hierarchical optimization
KW - multi-energy systems
KW - time series
UR - http://www.scopus.com/inward/record.url?scp=85135013287&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135013287&partnerID=8YFLogxK
U2 - 10.1109/PMAPS53380.2022.9810564
DO - 10.1109/PMAPS53380.2022.9810564
M3 - Conference contribution
AN - SCOPUS:85135013287
T3 - 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022
BT - 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022
Y2 - 12 June 2022 through 15 June 2022
ER -