Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 3, 2026Mechatronics Electrical Power and Vehicular TechnologyOpen Access

Fractional tent map - chaotic horse herd optimization for global MPPT under partial shading conditions

View Full Paper
Ask AI
Bookmark
Share

Authors

RERachma Prilian EviningsihEIEwa Ari IrwansyahESEpyk Sunarno

Discussion

Loading...

Member takes

Overview

Randomized trial demonstrates enhanced global MPPT accuracy in photovoltaic systems under partial shading, suggesting improved energy extraction methods.

Key Points

  • The aim is to develop and validate the FTM-CHHO algorithm for efficiently maximizing power output in photovoltaic systems under partial shading conditions.
  • Developed a novel FTM-CHHO algorithm integrating fractional-order memory and chaotic maps.
  • Conducted simulations and hardware experiments using a SEPIC converter to validate performance.
  • Compared FTM-CHHO with perturb and observe (P8O) and standard horse herd optimization (HHO).
  • FTM-CHHO achieved 99.52% to 100% tracking accuracy with convergence times of 0.32 to 0.62 seconds in simulations.
  • Under real-world conditions, it maintained 95.54% to 98.26% accuracy with convergence times within 10.1 seconds.
  • FTM-CHHO significantly outperformed both P8O and HHO.

Cite This Study

Eviningsih et al. (2026) studied this question.

synapsesocial.com/papers/6a703fe175942ff7265e495fhttps://doi.org/10.55981/j.mev.2026.1423
View Full Paper
Ask AI
Bookmark
Share