An Introduction to Multiobjective Optimisation Methods for Decentralised Power Planning

被引:0
|
作者
Berry, A. M. [1 ]
Cornforth, D. J. [1 ]
Platt, G. [1 ]
机构
[1] CSIRO, Secure Grids Project, Div Energy Technol, Mayfield W, NSW 2304, Australia
关键词
Artificial Intelligence; Cogeneration; Industrial Power Systems; Interconnected Power Systems; Power Distribution Planning; Power Generation;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Optimising the placement and sizing of distributed generators into decentralised power networks is receiving increasing research attention. The studies presented thus far, however, do not capitalise on the most contemporary techniques described in the multiobjective optimisation literature. This work illustrates, through both theoretical and empirical analyses, the consequences of this deficiency and provides a tutorial on how best to integrate core multiobjective concepts into the optimisation process. Initial results suggest that such integration may be of significant value to both researchers and design-engineers alike.
引用
收藏
页码:2148 / 2156
页数:9
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