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Maximum Power Point Tracking Based on the Bio Inspired BAT Algorithm

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 102)

Abstract

Nowadays, there is an increasing trend in the use of solar energy by using photovoltaic system (PVS). The power generated by a PVS highly relies on solar intensity. Therefore, a Maximum Power Point Tracker (MPPT) is one of the key components of solar electricity generation. It is used to extract the maximum power point (MPP) produced by a PVS. In this paper, we present a bio inspired Bat Swarm Optimization (BSO) algorithm to track the MPP thereby increasing the performance of the PVS. The proposed BSO algorithm is developed in Matlab/Simulink environment. Furthermore, the results obtained from the BSO algorithm are compared with the well-known conventional Perturb and Observe (P&O) algorithm.

Keywords

  • Maximum power point tracking
  • Photovoltaic system
  • Bio inspired algorithm
  • Bat algorithm
  • Perturb and Observe

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Correspondence to Sabrina Titri .

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Titri, S., Kaced, K., Larbes, C. (2020). Maximum Power Point Tracking Based on the Bio Inspired BAT Algorithm. In: Hatti, M. (eds) Smart Energy Empowerment in Smart and Resilient Cities. ICAIRES 2019. Lecture Notes in Networks and Systems, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-030-37207-1_3

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  • DOI: https://doi.org/10.1007/978-3-030-37207-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37206-4

  • Online ISBN: 978-3-030-37207-1

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