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Privacy-preserving smart meter control strategy including energy storage losses
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-0036-9049
KTH, School of Electrical Engineering and Computer Science (EECS), Electromagnetic Engineering.ORCID iD: 0000-0003-4740-1832
2018 (English)In: Proceedings - 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018, Institute of Electrical and Electronics Engineers (IEEE), 2018, article id 8571537Conference paper, Published paper (Refereed)
Abstract [en]

Privacy-preserving smart meter control strategies proposed in the literature so far make some ideal assumptions such as instantaneous control without delay, lossless energy storage systems etc. In this paper, we present a one-step-ahead predictive control strategy using Bayesian risk to measure and control privacy leakage with an energy storage system. The controller estimates energy state using a three-circuit energy storage model to account for steady-state energy losses. With numerical experiments, the controller is evaluated with real household consumption data using a state-of-the-art adversarial algorithm. Results show that the state estimation of the energy storage system significantly affects the controller's performance. The results also show that the privacy leakage can be effectively reduced using an energy storage system but at the expense of energy loss.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. article id 8571537
Series
IEEE PES Innovative Smart Grid Technologies Conference Europe, ISSN 2165-4816
Keywords [en]
Smart meter privacy, Bayesian hypothesis testing, partially observable Markov decision process (PO-MDP), energy storage losses, dynamic programming
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-245088ISI: 000458690200049Scopus ID: 2-s2.0-85060221839ISBN: 978-1-5386-4505-5 (print)OAI: oai:DiVA.org:kth-245088DiVA, id: diva2:1294071
Conference
2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018; Sarajevo; Bosnia and Herzegovina; 21 October 2018 through 25 October 2018
Note

QC 20190306

Available from: 2019-03-06 Created: 2019-03-06 Last updated: 2019-04-29Bibliographically approved

Open Access in DiVA

fulltext(239 kB)15 downloads
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Avula, Ramana R.Oechtering, Tobias J.Månsson, Daniel

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