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 :
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