RESEARCH INITIATION AWARD: Distributed Implementation of Optimal Power Flow

这项研究是为了开发在大型电力系统中分布式实现“最优潮流”(OPF)的新算法。考虑到系统的规模，提出了系统的分解。《影子成本》，以及其他东西，区域间的有功和无功互换将指导分布式计算，从而使经济可以在区域互通中进行解释。这些区域将相对较大，以适应粗粒度处理器体系结构。通过将处理划分为区域，数据通信可以在很大程度上局限于区域。区域间通信所需经费可大大少于集中实施业务连续性方案所需的通信费用。然而，分布式处理的主要优势是由于(分布式)计算的增加而潜在地减少了求解时间权力。

The proposed research is for developing new algorithms for distributed implementation of "optimal power flow" (OPF) in a large power system. In view of the size of the system a decomposition of the system is proposed. "Shadow costs" on , among other things, interchanges of active and reactive power between regions would guide the distributed calculations in such a way that the economic interpretations can be placed in the regional interchanges. The regions would be relatively large to accommodate a coarse-grained processor architecture. BY dividing the processing into regions, data communication can be largely localized to the regions. The interregional communications requirements can be considerably less than for a centralized implementation of OPF. However, the main advantage of distributed processing is the potential decrease in solution time due to increased (distributed) computing power.