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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16345
Title: Lion algorithm: A nature-inspired algorithm for generation rescheduling-based congestion management
Authors: Tapre P.C.
Singh D.K.
Paraskar S.
Tiwari S.
Trivedi M.C.
Perez G.M.
Mishra K.K.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: The practitioners and researchers have received considerable attention solving complex optimization problems with meta-heuristic algorithms during the past decade. Many of these algorithms are inspired by various phenomena of nature. One of the promising solutions for secure and continuous power flow in the transmission line is rescheduling-based congestion management approach, but the base problem is rescheduling cost. To solve the congestion with minimized rescheduling cost, a new population-based algorithm, the Lion Algorithm (LA), is introduced in this paper. The basic motivation for development of this optimization algorithm is based on special lifestyle of lions and their cooperation characteristics. Based on some benchmark, Lion Algorithm (LA) is compared with the existing conventional algorithms such as particle swarm optimization (PSO), genetic algorithm (GA), artificial bee colony (ABC) and firefly (FF) by analysing the convergence, cost and congestion. In IEEE 30 bus system, experimental investigation is carried out and the obtained results by the proposed algorithm Lion Algorithm (LA) in comparison with the other algorithms used in this paper. © Springer Nature Singapore Pte Ltd. 2018.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2018), 3- 15
URI: https://doi.org/10.1007/978-981-10-7386-1_1
http://repository.iitr.ac.in/handle/123456789/16345
Issue Date: 2018
Publisher: Springer Verlag
Keywords: Congestion management
LA
Optimization algorithm
Rescheduling
ISBN: 9789811073854
ISSN: 21945357
Author Scopus IDs: 56160012500
57205216300
36350184900
Author Affiliations: Tapre, P.C., Department of Electrical Engineering, CVRU, Bilaspur, Chhattisgarh, India
Singh, D.K., Department of Electronics Engineering, CVRU, Bilaspur, Chhattisgarh, India
Paraskar, S., Department of Electrical Engineering, SSGMCE, Shegaon, Maharashtra, India
Corresponding Author: Tapre, P.C.; Department of Electrical Engineering, CVRUIndia; email: pawan.tapre25@rediffmail.com
Appears in Collections:Conference Publications [ECE]

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