
FOLLOWUS
1.State Grid Zhejiang Economic Research Institute, Hangzhou 310008, China
2.Beijing Yinshan Technology Co., Ltd., Beijing 100871, China
E-mail: xuqianhangzhou@163.com
yuchutianhangzhou@163.com
yuanxianghangzhou@163.com
wengli33wei@gmail.com
‡Corresponding author
收稿:2022-11-25,
录用:2023-02-02,
网络出版:2023-07-28,
纸质出版:2023-09-0
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徐谦, 俞楚天, 袁翔, 等. 带多局部约束的改进push-sum框架分布式优化及其在智能电网中的应用[J]. 信息与电子工程前沿(英文), 2023,24(9):1253-1260.
Qian XU, Chutian YU, Xiang YUAN, et al. Distributed optimization based on improved push-sum framework for optimization problem with multiple local constraints and its application in smart grid[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(9): 1253-1260.
徐谦, 俞楚天, 袁翔, 等. 带多局部约束的改进push-sum框架分布式优化及其在智能电网中的应用[J]. 信息与电子工程前沿(英文), 2023,24(9):1253-1260. DOI: 10.1631/FITEE.2200596.
Qian XU, Chutian YU, Xiang YUAN, et al. Distributed optimization based on improved push-sum framework for optimization problem with multiple local constraints and its application in smart grid[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(9): 1253-1260. DOI: 10.1631/FITEE.2200596.
本文研究了带
N
个非一致闭凸集约束的分布式优化问题,目的是在固定的不平衡图上设计一个相应的分布式优化算法解决该问题。为此,在改进的push-sum框架下,本文设计了新的分布式优化算法,并在强连通图的假设下给出了其严格的收敛分析。最后,仿真结果证明了所提算法的良好性能。
In this paper
the optimization problem subject to
N
nonidentical closed convex set constraints is studied. The aim is to design a corresponding distributed optimization algorithm over the fixed unbalanced graph to solve the considered problem. To this end
with the push-sum framework improved
the distributed optimization algorithm is newly designed
and its strict convergence analysis is given under the assumption that the involved graph is strongly connected. Finally
simulation results support the good performance of the proposed algorithm.
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