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Niranjan Kumar
National Institute of Technology Jamshedpur
Computer Science & IT Electrical & Electronics Engineering

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Cuckoo Search Algorithm for Congestion Alleviation with Incorporation of Wind Farm Kaushik Paul; Niranjan Kumar
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.885 KB) | DOI: 10.11591/ijece.v8i6.pp4871-4879

Abstract

The issue to alleviate congestion in the power system framework has emerged as an alluring field for the power system researchers. The research conducted in this article proposes a cuckoo search algorithm based congestion alleviation strategy with the incorporation of wind farm. The bus sensitivity factor data are computed and utilized to sort out the sutiable position for the installation of the wind farm. The generators contributing in the real power rescheduleing process are selected as per the generator sensitivity values. The cuckoo search algorithm is implemented to minimize the congestion cost with the embodiment of the wind farm.The proposed method is tested on 39 bus New England framework and the results obtained with the cuckoo search based congestion management approach outperforms the results opted with other heuristic optimization techniques in the past research literatures.
Co-Authors Kaushik Paul