Stability and convergence of distributed algorithms for the OPF problem

被引：0

作者：

Devane, Eoin ^{[1
]}

Lestas, Ioannis ^{[2
]}

机构：

[1] Univ Cambridge, Ctr Math Sci, Cambridge Ctr Anal, Cambridge CB3 0WA, England

[2] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England

来源：

2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2013年

基金：

英国工程与自然科学研究理事会;

关键词：

POWER-FLOW LITERATURE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Many modern power networks are partitioned in nature, with disjoint components of the overall network con rolled by competing operators. The problem of solving the Optimal Power Flow (OPF) problem in a distributed manner is therefore of significant interest. For networks in which the high-level structure has tree topology, we analyze a dual decomposition approach to solving a recent convex relaxation of the OPF problem for the overall network in a distributed manner. Incorporating higher-order dynamics in terms of local auxiliary variables, we prove a result of guaranteed convergence to the solution set for sufficiently small values of the step size.

引用

页码：2933 / 2938

页数：6

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