A photovoltaic (PV) module is an important source in distributed generation due to low maintenance cost, low operational cost and eco-friendly. Tracking the maximum power point (MPP) of a PV module has been a hot issue to increase energy production. Maximum power point tracking (MPPT) methods based on nature inspired algorithm such as firefly algorithm (FA) has been proposed to track the MPP. However, the problem the FA method is required long time to reach convergence. Therefore, this paper proposes an adaptive modified firefly algorithm (AMFA) to tracking faster the MPP for convergence. The proposed method is implemented on a buck converter. To evaluate the algorithm, the proposed method is compared with FA and modified FA (MFA). The proposed method is verified by PSIM simulator. The results show that the proposed method can accurately track the MPP and improve the performance of FA in tracking speed for convergence.

Original languageEnglish
Title of host publicationProceedings - 2015 International Electronics Symposium
Subtitle of host publicationEmerging Technology in Electronic and Information, IES 2015
EditorsHendhi Hermawan, Ahmad Zainudin, Syechu Dwitya Nugraha, Erik Tridianto, Hendy Briantoro, Desy Intan Permatasari
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781467393454
Publication statusPublished - 12 Jan 2016
Event17th International Electronics Symposium, IES 2015 - Surabaya, Indonesia
Duration: 29 Sept 201530 Sept 2015

Publication series

NameProceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015


Conference17th International Electronics Symposium, IES 2015


  • Adaptive modified firefly algorithm (AMFA)
  • DC-DC buck converter
  • Maximum power point tracking (MPPT)
  • Photovoltaic (PV) module


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