A novel modified sine-cosine optimized MPPT algorithm for grid integrated PV system under real operating conditions

Sanjeevikumar Padmanaban, Neeraj Priyadarshi, Jens Bo Holm-Nielsen, Mahajan Sagar Bhaskar*, Farooque Azam, Amarjeet Kumar Sharma, Eklas Hossain

*Corresponding author

Research output: Contribution to journalJournal articleResearchpeer-review

47 Citations (Scopus)
85 Downloads (Pure)

Abstract

This research work presents a modified sine-cosine optimized maximum power point tracking (MPPT) algorithm for grid integration. The developed algorithm provides the maximum power extraction from a photovoltaic (PV) panel and simplified implementation with a benefit of high convergence velocity. Moreover, the performance and ability of the modified sine-cosine optimized (MSCO) algorithm is equated with recent particle swarm optimization and artificial bee colony algorithms for comparative observation. Practical responses is analyzed under steady state, dynamic, and partial shading conditions by using dSPACE real controlling board laboratory scale hardware implementation. The MSCO-based MPPT algorithm always shows fast convergence rate, easy implementation, less computational burden and the accuracy to track the optimal PV power under varying weather conditions. The experimental results provided in this paper clearly show the validation of the proposed algorithm.
Original languageEnglish
Article number8598859
JournalIEEE Access
Volume7
Pages (from-to)10467-10477
Number of pages11
ISSN2169-3536
DOIs
Publication statusPublished - Jan 2019

Keywords

  • Artificial bee colony
  • Maximum power point tracking
  • Particle swarm optimization
  • Photovoltaic
  • Sine-cosine optimized

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