A Comparative Analysis of Centralized and Decentralized Multi-agent Architecture for Service Restoration

被引：0

作者：

Sharma, Anurag ^{[1
]}

Srinivasan, Dipti ^{[1
]}

Kumar, Dhivya Sampath ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117548, Singapore

来源：

2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2016年

关键词：

Centralized architecture; decentralized architecture; distributed generation; multi-agent system; service restoration; POWER-SYSTEM RESTORATION; LARGE-SCALE; RECONFIGURATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Multi-agent systems (MAS) have recently evolved as an important feature in the development of future smart grids, especially to provide the fast-responding self-healing ability to the grid. This paper presents a comparative analysis of centralized and decentralized MAS architecture for the problem of service restoration. Service restoration is formulated as a multi-objective optimization problem and solved by implementing DG islanding using both the centralized and decentralized MAS approach. Simulation studies are conducted on 38, 69, and 119 bus test distribution systems for both the MAS architectures. From the simulated results, the following advantages of the decentralized MAS architecture over the centralized MAS are observed: a) lower computation time to determine the restoration solution, b) robust to communication failure (not prone to single point failure), c) efficient restoration for multiple fault situations, d) lower communication cycles to discover the information.

引用

页码：311 / 318

页数：8

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