1,477 research outputs found
A Privacy-Preserving and Accountable Billing Protocol for Peer-to-Peer Energy Trading Markets
This paper proposes a privacy-preserving and accountable billing (PA-Bill)
protocol for trading in peer-to-peer energy markets, addressing situations
where there may be discrepancies between the volume of energy committed and
delivered. Such discrepancies can lead to challenges in providing both privacy
and accountability while maintaining accurate billing. To overcome these
challenges, a universal cost splitting mechanism is proposed that prioritises
privacy and accountability. It leverages a homomorphic encryption cryptosystem
to provide privacy and employs blockchain technology to establish
accountability. A dispute resolution mechanism is also introduced to minimise
the occurrence of erroneous bill calculations while ensuring accountability and
non-repudiation throughout the billing process. Our evaluation demonstrates
that PA-Bill offers an effective billing mechanism that maintains privacy and
accountability in peer-to-peer energy markets utilising a semi-decentralised
approach.Comment: 6-pages, 1 Figure, Accepted for International Conference on Smart
Energy Systems and Technologies (SEST2023
Data security and trading framework for smart grids in neighborhood area networks
Due to the drastic increase of electricity prosumers, i.e., energy consumers that are also producers, smart grids have become a key solution for electricity infrastructure. In smart grids, one of the most crucial requirements is the privacy of the final users. The vast majority of the literature addresses the privacy issue by providing ways of hiding userâs electricity consumption. However, open issues in the literature related to the privacy of the electricity producers still remain. In this paper, we propose a framework that preserves the secrecy of prosumersâ identities and provides protection against the traffic analysis attack in a competitive market for energy trade in a Neighborhood Area Network (NAN). In addition, the amount of bidders and of successful bids are hidden from malicious attackers by our framework. Due to the need for small data throughput for the bidders, the communication links of our framework are based on a proprietary communication system. Still, in terms of data security, we adopt the Advanced Encryption Standard (AES) 128bit with Exclusive-OR (XOR) keys due to their reduced computational complexity, allowing fast processing. Our framework outperforms the state-of-the-art solutions in terms of privacy protection and trading flexibility in a prosumer-to-prosumer design
Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities
Optimization of energy consumption in future intelligent energy networks (or
Smart Grids) will be based on grid-integrated near-real-time communications
between various grid elements in generation, transmission, distribution and
loads. This paper discusses some of the challenges and opportunities of
communications research in the areas of smart grid and smart metering. In
particular, we focus on some of the key communications challenges for realizing
interoperable and future-proof smart grid/metering networks, smart grid
security and privacy, and how some of the existing networking technologies can
be applied to energy management. Finally, we also discuss the coordinated
standardization efforts in Europe to harmonize communications standards and
protocols.Comment: To be published in IEEE Communications Surveys and Tutorial
Zone-Based Privacy-Preserving Billing for Local Energy Market Based on Multiparty Computation
This paper proposes a zone-based privacy-preserving billing protocol for
local energy markets that takes into account energy volume deviations of market
participants from their bids. Our protocol incorporates participants' locations
on the grid for splitting the deviations cost. The proposed billing model
employs multiparty computation so that the accurate calculation of individual
bills is performed in a decentralised and privacy-preserving manner. We also
present a security analysis as well as performance evaluations for different
security settings. The results show superiority of the honest-majority model to
the dishonest majority in terms of computational efficiency. They also show
that the billing can be executed for 5000 users in less than nine seconds in
the online phase for all security settings, demonstrating its feasibility to be
deployed in real local energy markets
P2PEdge : A Decentralised, Scalable P2P Architecture for Energy Trading in Real-Time
Author Contributions: Conceptualization, J.K., D.H.-S., R.N.A., B.S. and K.M.; Formal analysis, J.K., D.H.-S. and B.S.; Investigation, J.K.; Methodology, J.K.; Project administration, K.M.; Supervision, K.M. and D.H.-S.; Validation, J.K. and D.H.-S.; Visualization, J.K.; Writingâoriginal draft, J.K.; Writingâreview & editing, J.K., K.M., D.H.-S., R.N.A. and B.S. All authors have read and agreed to the published version of the manuscript. Funding: This research received no external funding.Peer reviewedPublisher PD
The Influence of Differential Privacy on Short Term Electric Load Forecasting
There has been a large number of contributions on privacy-preserving smart
metering with Differential Privacy, addressing questions from actual
enforcement at the smart meter to billing at the energy provider. However,
exploitation is mostly limited to application of cryptographic security means
between smart meters and energy providers. We illustrate along the use case of
privacy preserving load forecasting that Differential Privacy is indeed a
valuable addition that unlocks novel information flows for optimization. We
show that (i) there are large differences in utility along three selected
forecasting methods, (ii) energy providers can enjoy good utility especially
under the linear regression benchmark model, and (iii) households can
participate in privacy preserving load forecasting with an individual
re-identification risk < 60%, only 10% over random guessing.Comment: This is a pre-print of an article submitted to Springer Open Journal
"Energy Informatics
On security and privacy of consensus-based protocols in blockchain and smart grid
In recent times, distributed consensus protocols have received widespread attention in the area of blockchain and smart grid. Consensus algorithms aim to solve an agreement problem among a set of nodes in a distributed environment. Participants in a blockchain use consensus algorithms to agree on data blocks containing an ordered set of transactions. Similarly, agents in the smart grid employ consensus to agree on specific values (e.g., energy output, market-clearing price, control parameters) in distributed energy management protocols.
This thesis focuses on the security and privacy aspects of a few popular consensus-based protocols in blockchain and smart grid. In the blockchain area, we analyze the consensus protocol of one of the most popular payment systems: Ripple. We show how the parameters chosen by the Ripple designers do not prevent the occurrence of forks in the system. Furthermore, we provide the conditions to prevent any fork in the Ripple network. In the smart grid area, we discuss the privacy issues in the Economic Dispatch (ED) optimization problem and some of its recent solutions using distributed consensus-based approaches. We analyze two state of the art consensus-based ED protocols from Yang et al. (2013) and Binetti et al. (2014). We show how these protocols leak private information about the participants. We propose privacy-preserving versions of these consensus-based ED protocols. In some cases, we also improve upon the communication cost
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