• Syed Shahid Afridh
• M.Sreenivasulu

The need for clean and renewable energy sources is being driven by environmental concerns. Photovoltaic (PV) systems have seen a remarkable increase in use among renewable energy sources in recent decades. Temperature, shadow percentage, and insolation are just a few of the variables that impact how well the PV system operates. Due to changes in isolation and temperature, the intermediate converter between the solar panels and the load modifies the voltage differential between the PV output and the load. Natural or artificial shading of the solar panel results in many peaks in the P-V, which causes technical problems. qualities. While the other peaks are categorized as Local Peak Power (LPP), one of the several peaks is known as Global Peak Power (GPP). It is challenging to determine GPP throughout the optimization process due to the existence of several peaks and the potential for trapping at LPP rather than GPP. In order to track the GPP of the PV system, this study introduces the Chef-based Optimization Algorithm (CBOA). Compared to Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO), CBOA offers a more structured method. It was designed based on the process of learning cooking skills in training classes. The execution of Using a 5S5P setup, the tracking algorithm is simulated in MATLAB. In the simulation simulations, the CBOA outperforms PSO and GWO in terms of tracking time and maximum power magnitude

Local peak power (LPP), global peak power (GPP), photovoltaic (PV) systems, and chef-based optimization algorithms (CBOA).

"CHEF-BASED OPTIMIZATION ALGORITHM (CBOA)-BASED GLOBAL PEAK POWER MONITORING SYSTEM FOR PHOTOVOLTAIC SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.b263-b273, November-2025, Available :http://www.jetir.org/papers/JETIR2511133.pdf

"CHEF-BASED OPTIMIZATION ALGORITHM (CBOA)-BASED GLOBAL PEAK POWER MONITORING SYSTEM FOR PHOTOVOLTAIC SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppb263-b273, November-2025, Available at : http://www.jetir.org/papers/JETIR2511133.pdf