Abstract

Interest in peer-to-peer (P2P) electricity trading has been growing, especially with respect to distributed energy resources (DERs) accommodation in distribution networks, which utilizes P2P trading mechanism to realize the decentralized operation of DERs. A key technology underpinning P2P electricity trading is the blockchain, which ensures that P2P trading is efficient and transparent. However, due to the limited calculation performance of blockchain, the blockchain-based P2P trading process has to be simplified, which makes on-chain grid security-constrained trading adjustment and on-chain power loss allocation become difficult to be solved. To address this challenge, a new on-chain P2P electricity trading framework with easy implementation is proposed. First, an on-chain linear power flow (OC-LPF) model is developed to reduce the difficulty of on-chain power flow calculation. Second, a novel self-adjustment loss allocation model with low complexity is proposed, which integrates the power loss into OC-LPF-based virtual power variable, and enables power flow calculation and power loss allocation to be performed synchronously. Third, a distributed market clearing algorithm with accelerated convergence based on the OC-LPF model is designed to improve the efficiency of on-chain convergence while protecting the privacy of participants. In addition, the effectiveness of the proposed mechanism has been verified with simulation studies on Ethereum.

Full Text
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