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FIS and hybrid ABC-PSO based optimal capacitor placement and sizing for radial distribution networks

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Abstract

Electric power generated from the power stations can be distributed to the consumers using different networks. Among those the radial distribution network is the attractive one. Power loss occurred in this network can be reduced and the voltage profile can be improved by placing optimal sized capacitors. There are various algorithms and techniques, which have been used previously to inspect the situation where the capacitors are needed to be placed at suitable nodes with optimal sized. This paper proposes another near approach, which will decide the most appropriate nodes on the essential feeders, laterals and sublaterals of any radial distribution network for ideal capacitor integration in order to enhance power loss reduction and also to enhance the voltage profile utilizing loss sensitivity factor (LSF) strategy and hybrid ABC-PSO calculation. The established LSF approach is utilized here to locate the most appropriate nodes and the optimal capacitor size can be settled with the hybrid ABC-PSO calculation. Capacitor size is an exceedingly nonlinear issue and henceforth fuzzy inference system (FIS) technique is chosen as the most suitable transports for the capacitor position. The sizes of the capacitors relating to least genuine power misfortune are resolved. The proposed technique has been implemented on IEEE 69-node and 34-node radial distribution networks.

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Authors and Affiliations

  1. Department of Electrical Engineering, Government Polytechnic College, Ambala City, 134003, Haryana, India

    Sarika Sharma

  2. Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, 147004, Punjab, India

    Smarajit Ghosh

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  1. Sarika Sharma
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  2. Smarajit Ghosh
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Correspondence to Sarika Sharma.

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Sharma, S., Ghosh, S. FIS and hybrid ABC-PSO based optimal capacitor placement and sizing for radial distribution networks. J Ambient Intell Human Comput 11, 901–916 (2020). https://doi.org/10.1007/s12652-019-01216-2

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  • DOI: https://doi.org/10.1007/s12652-019-01216-2

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