Blockchain-Based Distributed Optimization for Energy Management Systems
Blockchain-Based Distributed Optimization for Energy Management Systems
复制标题
基于区块链的能源管理系统分布式优化
DOI：
10.1109/icphys.2019.8780285
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
and Yuh Yamashita
中科院分区：
文献类型：
--
作者：
Daiki Ogawa;Koichi Kobayashi;and Yuh Yamashita
区块链吸引了许多研究领域。本文研究了一种基于区块链的能源管理系统（EMS）分布式优化方法。在分布式优化中，原问题被分解，局部问题由多个智能体求解。因此，分布式优化是适合于大规模的多智能体系统。本文将乘子交替方向法（ADMM）作为一种有效的分布式优化方法。在ADMM中，需要一个聚合器来收集每个代理中的计算结果。使用区块链，聚合器的功能可以包含在分布式账本中，并且可能不需要聚合器。结果，可以防止来自攻击者的篡改。本文在总结了ADMM和区块链的基础上，介绍了本文研究的EMS。通过数值实验，从篡改容忍度和计算时间的角度阐明了基于区块链的分布式优化的有效性和局限性。
A blockchain has attracted in many research fields. In this paper, a blockchain-based distributed optimization method for energy management systems (EMSs) is studied. In distributed optimization, the original problem is decomposed, and the local problems are solved by multiple agents. Hence, distributed optimization is appropriate for large-scale multi-agent systems. In this paper, ADMM (Alternating Direction Method of Multipliers) is utilized as one of the powerful methods in distributed optimization. In ADMM, an aggregator is required for collecting the computation result in each agent. Using blockchains, the function of an aggregator can be contained in a distributed ledger, and an aggregator may not be required. As a result, tampering from attackers can be prevented. In this paper, after ADMM and blockchains are summarized, an EMS studied in this paper is introduced. By numerical experiments, the effectiveness and limitation of blockchain-based distributed optimization are clarified from the viewpoints of tamper tolerance and computation time.