返回
Decentralized blockchain-based consensus for Optimal Power Flow solutions
DOI:10.1016/j.apenergy.2020.116100.png)
摘要
En 中文
We design, implement and analyze a decentralized consensus algorithm based on the blockchain technology for the solution of the Optimal Power Flow problem. The proposed algorithm enables independent power grid nodes, without prior trust on each other, to reach an agreement on the Optimal Power Flow solution. We decompose the Optimal Power Flow problem using a blockchain-based Alternating Direction Method of Multipliers and we comment on efficiency, trust, security and transparency issues. The successive iterants of the solution of the power flow problem are securely stored on the blockchain, removing the need for a central operating authority, while allowing network nodes to verify the validity and optimality of the solution. We illustrate the effectiveness of the consensus algorithm presented through simulation experiments on the 39-bus New England transmission system, and IEEE-57 and IEEE-118 benchmark systems. We systematically compare the effectiveness of the proposed algorithm with well established blockchain consensus algorithms. The results show that our method maintains the convergence characteristics of the Alternating Direction Method of Multipliers iterative scheme and enables independent network nodes to reach consensus.
Keyword:
Distributed consensus
Blockchain
Optimal Power Flow
Power systems
Alternating Direction Method of Multipliers
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
11
论文数:
2.6W
被引数:
17.8W
机构
引用论文
A decentralized approach towards resolving transmission grid congestion in Germany using vehicle-to-grid technology
APPLIED ENERGY
IF11
A Design for a Secure Energy Market Trading System in a National Wholesale Electricity Market
IEEE ACCESS
IF3.6
Blockchain technology in the energy sector: A systematic review of challenges and opportunities能源领域的区块链技术: 挑战和机遇的系统回顾
Designing microgrid energy markets A case study: The Brooklyn Microgrid设计微电网能源市场案例研究: 布鲁克林微电网
APPLIED ENERGY
IF11

