Distributed optimization based on improved push-sum framework for optimization problem with multiple local constraints and its application in smart grid

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...

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Bibliographic Details
Published in:Frontiers of information technology & electronic engineering Vol. 24; no. 9; pp. 1253 - 1260
Main Authors: Xu, Qian, Yu, Chutian, Yuan, Xiang, Wei, Mengli, Liu, Hongzhe
Format: Journal Article
Language:English
Published: Hangzhou Zhejiang University Press 01.09.2023
Springer Nature B.V
Subjects:
Algorithms
Communications Engineering
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Convexity
Design
Design optimization
Eigenvalues
Electrical Engineering
Electronics and Microelectronics
Graphs
Instrumentation
Networks
Optimization algorithms
Smart grid
O224
Distributed optimization
分布式优化
Nonidentical constraints
Improved push-sum framework
非一致约束
改进push-sum框架
ISSN:2095-9184, 2095-9230
Online Access:Get full text
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Summary: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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ISSN:2095-9184
2095-9230
DOI:10.1631/FITEE.2200596