A Review on Power System Optimization Using PSO

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Energy Systems, Drives and Automations (ESDA 2021)

Abstract

The simplicity of the PSO method inspires researchers for its uplift and modifications. Various hybridizations of PSO methods have been successfully implemented according to the optimization requirements. The development of PSO, its upgrade, modifications, comparisons, and applications are discussed here. This review paper represents a survey of sixty papers on the research progress in Particle Swarm Optimization (PSO) from 2006 to 2021. All the papers have been classified into 24 categories based on numerous features. The paper is in an integrated form that would help to learn about the various ways to implement the optimization technique of PSO all in one go. This paper shows that objectives can be different, but the path will remain the same. It also helps for futuristic works.

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Dasgupta, S. et al. (2023). A Review on Power System Optimization Using PSO. In: Szymanski, J.R., Chanda, C.K., Mondal, P.K., Khan, K.A. (eds) Energy Systems, Drives and Automations. ESDA 2021. Lecture Notes in Electrical Engineering, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-99-3691-5_2

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