Electrical Power Grid Network Optimisation by Evolutionary Computing

被引：6

作者：

Oliver, John M. ^{[1
]}

Kipouros, Timoleon ^{[1
]}

Savill, A. Mark ^{[1
]}

机构：

[1] Cranfield Univ, Cranfield MK43 0AL, Beds, England

来源：

2014 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE | 2014年 / 29卷

关键词：

Multi-objective; Optimisation; Evolutionary Computing; Electrical Power; Grid;

D O I：

10.1016/j.procs.2014.05.179

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A major factor in the consideration of an electrical power network of the scale of a national grid is the calculation of power flow and in particular, optimal power flow. This paper considers such a network, in which distributed generation is used, and examines how the network can be optimized, in terms of transmission line capacity, in order to obtain optimal or at least high-performing configurations, using multi-objective optimisation by evolutionary computing methods.

引用

页码：1937 / 1947

页数：11

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