Privacy-Preserving Local Energy Trading Considering Network Fees
Eman Alqahtani, Mustafa A. Mustafa

TL;DR
This paper introduces a privacy-preserving local energy market protocol that considers network fees and physical constraints, ensuring secure, efficient trading among 5,000 participants within minutes.
Contribution
It presents a novel secure multiparty computation-based protocol for privacy-preserving local energy trading that incorporates network fees and physical network constraints.
Findings
The protocol can efficiently handle 5,000 participants in 4.17 minutes.
It ensures privacy and security through multiparty verification and secure computation.
The approach effectively considers network fees and physical constraints in local energy markets.
Abstract
Driven by the widespread deployment of distributed energy resources, local energy markets (LEMs) have emerged as a promising approach for enabling direct trades among prosumers and consumers to balance intermittent generation and demand locally. However, LEMs involve processing sensitive participant data, which, if not protected, poses privacy risks. At the same time, since electricity is exchanged over the physical power network, market mechanisms should consider physical constraints and network-related costs. Existing work typically addresses these issues separately, either by incorporating grid-related aspects or by providing privacy protection. To address this gap, we propose a privacy-preserving protocol for LEMs, with consideration of network fees that can incite participants to respect physical limits. The protocol is based on a double-auction mechanism adapted from prior work to…
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Taxonomy
TopicsSmart Grid Security and Resilience · Smart Grid Energy Management · Blockchain Technology Applications and Security
