Parallel and Distributed Computation for Dynamical Economic Dispatch

被引：55

作者：

Chen, Guo ^{[1
]}

Li, Chaojie ^{[2
]}

Dong, Zhaoyang ^{[3
]}

机构：

[1] Univ Newcastle, Sch Elect Engn & Comp Sci, Newcastle, NSW 2308, Australia

[2] RMIT Univ, Sch Engn, Melbourne 3000, Australia

[3] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia

来源：

IEEE TRANSACTIONS ON SMART GRID | 2017年 / 8卷 / 02期

关键词：

Parallel and distributed computation; dynamical economic dispatch; accelerated gradient; COMMUNICATION;

D O I：

10.1109/TSG.2016.2623980

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This letter introduces a parallel and distributed computation method for dynamical economic dispatch over a cyber-physical system. To achieve a faster economic dispatch operation, accelerated consensus approach is proposed. The simulation illustrates the better performance of accelerated consensus algorithm.

引用

页码：1026 / 1027

页数：2

共 3 条

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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2016, 12 (05) :1775-1785

[2] Distributed Optimal Dispatch of Virtual Power Plant via Limited Communication [J].

Yang, Hongming ;

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Dong, ZhaoYang .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (03) :3511-3512

[3] Convergence Analysis of the Incremental Cost Consensus Algorithm Under Different Communication Network Topologies in a Smart Grid [J].

Zhang, Ziang ;

Chow, Mo-Yuen .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (04) :1761-1768

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