Blockchain-based Optimal Power Flow Distributed Optimization Algorithm for Power Systems

In current power systems, the resolution of the Optimal Power Flow (OPF) problem is crucial for ensuring the stable operation and efficiency of the grid. This paper proposes a novel blockchain consensus algorithm for tackling the OPF problem in power systems. The algorithm employs the Alternating Direction Method of Multipliers (ADMM) to decompose the OPF problem into local sub-problems, which are integrated into the blockchain protocol. The effectiveness and superiority of the algorithm are verified through simulation experiments on the IEEE-57 and IEEE-118 benchmark systems. Compared with existing blockchain consensus algorithms, the proposed algorithm exhibits better performance in terms of iteration times and computational load, while maintaining the convergence characteristics of the ADMM method. The proposed method achieves decentralized consensus among grid nodes, can adapt to the structural changes of the grid, and offers good robustness and scalability.