Residential Demand Side Aggregation of Privacy-Conscious Consumers

Conference · Thu Jul 29 04:00:00 EDT 2021

DOI:https://doi.org/10.1109/PowerTech46648.2021.9494989· OSTI ID:1818463

Chin, Jun-Xing; Hug, Gabriela; Bernstein, Andrey

The increasing adoption of smart meters has led to growing concerns regarding privacy risks stemming from the high resolution measurements. This has given rise to privacy protection techniques that physically alter the consumer's energy load profile, masking private information by using localised devices, e.g. batteries or flexible loads. Meanwhile, there has also been increasing interest in aggregating the distributed energy resources (DERs) of residential consumers to provide services to the grid. In this paper, we propose an online distributed algorithm to aggregate the DERs of privacy-conscious consumers to provide services to the grid, whilst preserving their privacy. Results show that the optimisation solution from the distributed method converges to one close to the optimum computed using an ideal centralised solution method, balancing between grid service provision, consumer preferences and privacy protection. More importantly, the distributed method preserves consumer privacy, and does not require high-bandwidth two-way communications infrastructure.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1818463
• Report Number(s): NREL/CP-5D00-80831; MainId:78609; UUID:d040111d-6bd4-4be3-a764-7184196cfbef; MainAdminID:60650
• Country of Publication: United States
• Language: English

Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
ancillary services
consumer privacy
mutual information
online gradient descent
smart meter