Designing a High Performance and High-Profit P2P Energy Trading System Using a Consortium Blockchain Network

Renewable energy generating systems can be used to supply some or all of electricity needs, using technologies like solar, wind, or micro hydropower systems. Trading this kind of decentralized energy is essential to owners of these local systems. Regional p2p energy trading systems provide a solution for this issue. Due to expanding the concept of decentralization and blockchain-based trading models, some studies in recent years have proposed such models for local surplus energy trading. In this paper, we propose a distributed energy-trading framework based on a consortium blockchain for p2p energy trading energy of renewable energy systems. Our proposed model uses Jointgraph, a novel Byzantine fault-tolerance consensus algorithm, and a DAG-based consortium energy blockchain framework, which highly improves the performance of the trading model. Furthermore, we use Belief Distorted Nash Equilibrium (BDNE) for pricing strategy to increase the profitability of the system for both buyers and sellers. The implemented simulation confirms that the proposed framework outperforms similar p2p trading models in terms of both performance and profitability and can be used in real local energy trading systems.