Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3691
Title: Metaheuristic Techniques based Optimal Placement and Sizing of Multiple Distributed Generations in Radial Distribution System
Authors: Sunil, Ankeshwarapu
Kongala, Saikrishna
Venkaiah, Chintham
Keywords: Distributed Generations (DGs)
Genetic Algorithm (GA)
Issue Date: 2021
Publisher: Asia-Pacific Power and Energy Engineering Conference, APPEEC
Citation: 10.1109/APPEEC50844.2021.9687628
Abstract: In this paper, Meta-heuristic techniques were em ployed for optimal placement and sizing of multiple Distributed Generations (DGs) in a Radial Distribution System (RDS) to mitigate the losses and voltage deviations. In this study, Genetic Algorithm (GA), Shuffled Frog Leap Algorithm (SFLA) and Jaya Algorithm (JAYA) were applied on a standard IEEE 33 bus test system. It was observed from the test results simulated under MATLAB environment that Jaya Algorithm outperformed GA and SFLA for optimal placement and sizing of multiple DGs to mitigate the losses and voltage deviations.
Description: NITW
URI: http://localhost:8080/xmlui/handle/123456789/3691
Appears in Collections:Electrical Engineering

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