Volume 7 Number 6 (Dec. 2015)
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IJCEE 2015 Vol.7(6): 370-386 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2015.7.6.370-386

Optimal Utilization of IPFC for Congestion Management Using Disparity Line Utilization Factor and Cuckoo Search Algorithm

Akanksha Mishra, G. V. Nagesh Kumar
Abstract—Recently, due to adoption of power reforms there is a marked increase of contracted power that flows in the transmission line and the spontaneous power exchanges leading to complex power transmission congestion problems. Appearance of FACTS devices specifically IPFC has opened up new opportunities to overcome the congestion problem by increasing the system loadability. Proper placement and tuning of IPFC in this respect is very important for maximum utilization of its benefits. This paper proposes a Disparity Line Utilization Factor (DLUF) for the optimal placement of IPFC to control the congestion in transmission lines. DLUF determines the difference between the percentage MVA utilization of each line connected to the same bus. The IPFC is placed in the lines with maximum DLUF. The multi objective function consisting of the reduction of active power loss, minimization of total voltage deviations, and minimization of security margin with the usage of minimum value of installed IPFC is considered for the optimal tuning of IPFC using Cuckoo Search. The proposed method is implemented for IEEE-30 bus test system under different loading conditions and the results are presented and analyzed to ascertain the effectiveness for the reduction of congestion.

Index Terms—Congestion, cuckoo search algorithm, interline power flow controller, line utilization factor, optimal placement, optimal tuning.

The authors are with the Department of EEE, GITAM Institute of Technology, GITAM University, Visakhapatnam, India.

Cite:Akanksha Mishra, G. V. Nagesh Kumar, "Optimal Utilization of IPFC for Congestion Management Using Disparity Line Utilization Factor and Cuckoo Search Algorithm," International Journal of Computer and Electrical Engineering vol. 7, no. 6, pp. 370-386, 2015.

General Information

ISSN: 1793-8163
Frequency: Bimonthly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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