What is it about?

A fusion of the BAT and Grasshopper algorithms alongside BAT-MMVO (Modified Multiverse Optimization) is showcased to optimize the extraction of maximum power from photovoltaic systems, employing a controller implemented through Xilinx System Generator (XSG). This hybrid BAT-GH and BAT-MMVO algorithm within the implemented controller efficiently determines the optimal switching pulse for the boost converter. Leveraging the XSG domain, the controller, switching strategies, and the photovoltaic-supported boost converter were all constructed.

Featured Image

Why is it important?

This project focuses primarily on minimizing the variance between actual power output and the reference power. The performance of the implemented controller is subsequently assessed against that of other established hybrid controllers.


The performance of the proposed algorithm is found to yield good results in terms of power extraction.

Dr Mahiban Lindsay N
Hindustan University

Read the Original

This page is a summary of: Hybrid bat–grasshopper and bat–modified multiverse optimization for solar photovoltaics maximum power generation, Computers & Electrical Engineering, March 2023, Elsevier,
DOI: 10.1016/j.compeleceng.2023.108596.
You can read the full text:




The following have contributed to this page