Residential Demand Side Aggregation of Privacy-Conscious Consumers
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Author / Producer
Date
2021
Publication Type
Conference Paper
ETH Bibliography
yes
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Abstract
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.
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Publication status
published
Editor
Book title
2021 IEEE Madrid PowerTech
Journal / series
Volume
Pages / Article No.
9494989
Publisher
IEEE
Event
14th IEEE PowerTech Conference (PowerTech 2021)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Ancillary services; Consumer privacy; Mutual information; Online gradient descent; Smart meter
Organisational unit
09481 - Hug, Gabriela / Hug, Gabriela
Notes
Conference lecture held on June 29, 2021