Abstract
This paper presents the application of the Dragonfly Algorithm (DA) for tracking the Global Maximum Power Point (GMPP) of a photovoltaic (PV) system. Optimization techniques employed for GMPP tracking (GMPPT) are required to be fast and efficient in order to reduce the tracking time and energy loss respectively. The DA, being a meta-heuristic algorithm with good exploration and exploitation characteristics, is a suitable candidate for this application. Due to its simplicity, the DA is implemented on a low cost microcontroller, and is proven to track the GMPP effectively under various irradiation conditions. The performance of the proposed DA based GMPPT scheme is compared with that of the conventional PSO based GMPPT scheme, and proves to be superior in terms of tracking time and energy loss during tracking.
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Raman, G., Raman, G., Manickam, C., Ganesan, S.I. (2016). Dragonfly Algorithm Based Global Maximum Power Point Tracker for Photovoltaic Systems. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2016. Lecture Notes in Computer Science(), vol 9712. Springer, Cham. https://doi.org/10.1007/978-3-319-41000-5_21
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DOI: https://doi.org/10.1007/978-3-319-41000-5_21
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