A Probabilistic Framework for Network Security in Matchmaking-Based P2P Energy Trading

Abstract

This study focuses on the development of a peer-to-peer (P2P) energy trading system through matchmaking in distribution systems. A probabilistic framework is used to ensure network security and mitigate computational difficulties and the volatility associated with real-time energy trading. The system employs a community manager who facilitates the matchmaking process by creating a filtered list of users for potential matches. To ensure network security, the likelihood of each user causing a voltage violation is pre-calculated. The study also explores the concept of acceptance level and generation limit, which helps curtail users who may potentially cause network violations. Simulation cases are conducted on a 30-node test system, evaluating the performance of the matchmaking system and analyzing user benefits. The results demonstrate the effectiveness of the regulated matchmaking approach in securing the network and determining the optimal cut-off acceptance level. The research highlights the trade-off between user benefits and network security, showing that the regulated approach maintains significant user benefits while ensuring network security. The proposed P2P energy trading system provides a solution for efficient and secure energy transactions in distribution systems.