Performance Analysis of an Incremental Conductance MPPT Algorithm for Photovoltaic Systems Under Rapid Irradiance Changes Cover Image

Performance Analysis of an Incremental Conductance MPPT Algorithm for Photovoltaic Systems Under Rapid Irradiance Changes
Performance Analysis of an Incremental Conductance MPPT Algorithm for Photovoltaic Systems Under Rapid Irradiance Changes

Author(s): Asnil Asnil, Refdinal Nazir, Krismadinata Krismadinata, Muhammad Nasir Sonni
Subject(s): Electronic information storage and retrieval
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Incremental conductance; MPPT; tracking performance; solar radiation; boost converter

Summary/Abstract: The control algorithm for tracking the maximum power point (MPPT) is a crucial factor that influences the system's capacity to harness the maximum energy from the sun using photovoltaic. Incremental conductance stands out as one of the most commonly employed MPPT techniques due to its simplicity and low implementation complexity. However, it has various shortcomings, rendering it less effective in adapting to changing solar radiation conditions. Therefore, this study proposed a modification to enhance the algorithm's performance. The proposed modified algorithm is validated through experiments, revealing that the fastest tracking time for the adjusted incremental conductance algorithm was 72 ms, whereas the unmodified algorithm took 84 ms. Additionally, oscillations observed during changes in radiation values were 2 W and 1.66 W for the unmodified algorithm, occurring during decreases and increases in radiation values, respectively. In contrast, the proposed modified incremental conductance algorithm resulted in a consistent oscillation of 1.33 W for each change in radiation value.Furthermore, it can be concluded that the modified incremental conductance algorithm can increase the tracking time as well as reduce oscillations that occur under various conditions of changes in radiation values.

  • Issue Year: 13/2024
  • Issue No: 2
  • Page Range: 1087-1094
  • Page Count: 8
  • Language: English
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