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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2200596


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


Author(s):  Qian XU, Chutian YU, Xiang YUAN, Mengli WEI, Hongzhe LIU

Affiliation(s):  State Grid Zhejiang Economic Research Institute, Hangzhou, 310008, China; more

Corresponding email(s):   qianxuhangzhou@gmail.com, yuchutuanhangzhou@163.com, yuanxianghangzhou@163.com, 15150650205@163.com

Key Words:  Distributed optimization, Nonidentical constraints, Improved push-sum framework


Qian XU, Chutian YU, Xiang YUAN, Mengli WEI, Hongzhe LIU. 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, 1998, -1(-1): .

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author="Qian XU, Chutian YU, Xiang YUAN, Mengli WEI, Hongzhe LIU",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200596"
}

%0 Journal Article
%T Distributed optimization based on improved push-sum framework for optimization problem with multiple local constraints and its application in smart grid
%A Qian XU
%A Chutian YU
%A Xiang YUAN
%A Mengli WEI
%A Hongzhe LIU
%J Journal of Zhejiang University SCIENCE C
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%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200596

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T1 - Distributed optimization based on improved push-sum framework for optimization problem with multiple local constraints and its application in smart grid
A1 - Qian XU
A1 - Chutian YU
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A1 - Mengli WEI
A1 - Hongzhe LIU
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
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EP -
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Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2200596


Abstract: 
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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