DocumentCode
620532
Title
Multi-objective optimal load distribution based on economy, environmental protection and speediness in power plants
Author
Yuan Gui-Li ; Yu Tong ; Gan Mi
Author_Institution
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
fYear
2013
fDate
25-27 May 2013
Firstpage
4577
Lastpage
4581
Abstract
With the gradual implementation of the "separation of power plant and grid, competitive bidding”, the needs of energy conservation, the continuous improvement of the pollution charge system and the increasing of the scale of new energy power combining to the grid make the grid put forward higher requirements. On the basis of the traditional single objective optimal load distribution, this paper build a multi-objective plant level load which based on ideal point method to optimize the allocation model to meet the economic, environmental, and fast needs. It uses adaptive immune vaccine algorithm to find the optimal solution for the model. Finally, an example is given to show that the model is correct and effective.
Keywords
energy conservation; environmental factors; load distribution; optimisation; pollution; power generation economics; steam power stations; adaptive immune vaccine algorithm; allocation model optimization; competitive bidding; economy; energy conservation; energy power; environmental protection; grid separation; ideal point method; multiobjective environmental optimal load distribution; pollution charge system; power plant separation; single objective optimal load distribution; speedlines; unit coal consumption characteristics; Coal; Educational institutions; Linear programming; Load modeling; Mathematical model; Optimization; Vaccines; adaptive immune vaccine algorithm; ideal point method; load distribution in power plants;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561761
Filename
6561761
Link To Document