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Soft Computing

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25.09.2019 | Methodologies and Application

HSOS: a novel hybrid algorithm for solving the transient-stability-constrained OPF problem

verfasst von: Anulekha Saha, Aniruddha Bhattacharya, Priyanath Das, Ajoy Kumar Chakraborty

Erschienen in: Soft Computing | Ausgabe 10/2020

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Abstract

This article presents a new algorithm aimed toward effective handling of the transient-stability-constrained optimal power flow (TSC_OPF) problem. The algorithm is a hybridized version of the existing differential evolution (DE) and symbiotic organism search (SOS) algorithms. It combines exploration and exploitation ability of both algorithms which results in its better performance as compared to DE and SOS acting alone. It was tested on IEEE 30 bus test system and the New England 39 bus test system. The results obtained by the proposed approach were compared with conventional TSC_OPF and also with other algorithms available in the literature. Results obtained using the proposed approach demonstrates superiority in comparison with other available algorithms in the literature.

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Titel: HSOS: a novel hybrid algorithm for solving the transient-stability-constrained OPF problem
verfasst von: Anulekha Saha
Aniruddha Bhattacharya
Priyanath Das
Ajoy Kumar Chakraborty
Publikationsdatum: 25.09.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 10/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-019-04374-9

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