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
收藏
页码：1937 / 1947
页数：11
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