期刊
2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC)
卷 -, 期 -, 页码 2961-2966出版社
IEEE
关键词
multi-agent optimization; distributed method; accelerated gradient method; distributed optimal power flow problem
We propose a distributed method to solve a multi-agent optimization problem with strongly convex cost function and equality coupling constraints. The method is based on Nesterov's accelerated gradient approach and works over stochastically time-varying communication networks. We consider the standard assumptions of Nesterov's method and show that the sequence of the expected dual values converge toward the optimal value with the rate of O(1/k(2)). Furthermore, we provide a simulation study of solving an optimal power flow problem with a well-known benchmark case.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据