DocumentCode :
1589234
Title :
An introduction to multiobjective optimisation methods for decentralised power planning
Author :
Berry, A.M. ; Cornforth, D.J. ; Platt, G.
Author_Institution :
Energy Technol. Div., CSIRO, Mayfield West, NSW, Australia
fYear :
2009
Firstpage :
1
Lastpage :
9
Abstract :
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.
Keywords :
distributed power generation; optimisation; power generation planning; decentralised power planning; distributed generator; multiobjective optimisation method; Australia; Cogeneration; Distributed power generation; Global warming; Industrial power systems; Optimization methods; Power generation; Power generation economics; Power system interconnection; Power system planning; Artificial Intelligence; Cogeneration; Industrial Power Systems; Interconnected Power Systems; Power Distribution Planning; Power Generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5275716
Filename :
5275716
Link To Document :
بازگشت