DocumentCode :
3589431
Title :
Research on reactive power compensation for distribution network based on biogeography-based optimization algorithm
Author :
Yin Li-min ; Du Shu
Author_Institution :
Sch. of Electr. Eng., Northeast Dianli Univ., Jilin, China
fYear :
2014
Firstpage :
47
Lastpage :
51
Abstract :
Distribution network reactive power optimization, which can effectively reduce distribution network wastage, can not only improve voltage distribution network quality, but also realize the distribution network security control. Stable operation provides solid foundation for the electric power enterprise economy. Unlike genetic algorithm that shares the feature information between the chromosomes, the unique migration pattern of BBO algorithm makes the good feature in the habitats broadcast widely among habitats, thus, the optimization process would be accelerated and the reactive power compensation location could be confirmed quickly. And by using BBO algorithm in the example analysis and conducting simulation through PSASP, it proves that biogeography optimization algorithm is quite effective when applied in distribution network reactive power optimization.
Keywords :
distribution networks; optimisation; power system security; reactive power; BBO algorithm; PSASP; biogeography-based optimization algorithm; distribution network reactive power optimization; distribution network security control; distribution network wastage reduction; electric power enterprise economy; reactive power compensation; voltage distribution network quality improvemrnt; Algorithm design and analysis; Biogeography; Biological system modeling; Optimization; Reactive power; Sociology; Statistics; Biogeography-based optimization algorithm; grid loss; intelligence optimization; reactive power optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Electronic Commerce (ICITEC), 2014 2nd International Conference on
Print_ISBN :
978-1-4799-5298-4
Type :
conf
DOI :
10.1109/ICITEC.2014.7105569
Filename :
7105569
Link To Document :
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