Dongdong ZHOU, Yibo LI, Anqi YANG, et al. ADMM Algorithm for Distributed Computation of Block Chain System and Application in Active Distribution Network[J]. Power Generation Technology, 2019, 40(2): 115-121.
DOI:
Dongdong ZHOU, Yibo LI, Anqi YANG, et al. ADMM Algorithm for Distributed Computation of Block Chain System and Application in Active Distribution Network[J]. Power Generation Technology, 2019, 40(2): 115-121. DOI: 10.12096/j.2096-4528.pgt.18243.
ADMM Algorithm for Distributed Computation of Block Chain System and Application in Active Distribution Network
区块链作为一种新颖的计算机技术,由于具备诸多的优点,其在未来主动配电网中有较大的应用潜力。因此如何将配电网中的集中式优化任务融入区块链系统的分布式计算模块是亟待解决的问题。以配电网动态经济调度优化的分布式建模为例,借助二阶锥规划(second-order cone programming,SOCP)凸松弛理论,参考了IEC 61970标准中CIM的建模思想,将传统的配电网耦合模型转换为一种分散式的电气模型;并提出一种运行于区块链上的基于交替方向乘子法(alternating direction method of multipliers,ADMM)的分布式最优潮流求解方法,从而使传统集中式优化在未来主动配电网中所面临的诸多难题得以解决。该方法无需对配电网进行全局协调或分层分区,仅利用区块链相邻节点间少量的通信即可通过并行计算得出模型的全局最优解。
Abstract
As a novel computer technology
block chain has great potential in the future active distribution network due to its advantages. Therefore
how to integrate the centralized optimization task of distribution network into the distributed computing module of block chain system is an urgent problem to be solved. In this paper
the distributed model of dynamic economic dispatch optimization of distribution network was taken as an example. With the help of convex relaxation theory of second-order cone programming (SOCP)
the traditional coupling model of distribution network was transformed into a decentralized electrical model by referring to CIM in IEC61970 standard. A distributed optimal power flow solution method based on alternating direction method of multipliers (ADMM) algorithm running on block chain was proposed
which can solve many problems faced by traditional centralized optimization in future active distribution network. The proposed method does not need global coordination or hierarchical partitioning of distribution network
but only a small amount of communication between adjacent nodes of block chain was used to obtain the global optimal solution of the model through parallel computation.
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