DocumentCode
1837680
Title
Bacterial Foraging Algorithm for security constrained optimal power flow
Author
Vahedi, H. ; Hosseini, S.H. ; Noroozian, R.
Author_Institution
Dept. of Electr. Eng., Zanjan Univ., Zanjan, Iran
fYear
2010
fDate
23-25 June 2010
Firstpage
1
Lastpage
6
Abstract
The paper proposes a novel Bacterial Foraging Algorithm (BFA) for solving optimal power flow (OPF) problems with considering transmission security for practical application. The objective of OPF is to minimize total generation cost, enhance transmission security, reduce transmission loss and improve the bus voltage profile under normal or contingent states. Moreover, the valve-point loading effect of thermal units should be taken into consideration. The effectiveness of the proposed method is demonstrated for a 26-bus and the IEEE 30-bus systems, and it is compared with the PSO-RO algorithm in terms of solution quality and evolutionary computing efficiency.
Keywords
load flow; particle swarm optimisation; power system security; 26-bus systems; 30-bus systems; bacterial foraging algorithm; bus voltage profile; optimal power flow; thermal units; transmission security; valve-point loading effect; Artificial neural networks; Bismuth; Inductors; Radiation detectors; Tin; bacterial foraging algorithm; optimal power flow; optimization methods; security-constraint;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Market (EEM), 2010 7th International Conference on the European
Conference_Location
Madrid
Print_ISBN
978-1-4244-6838-6
Type
conf
DOI
10.1109/EEM.2010.5558709
Filename
5558709
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