• Md Farid Ahmad
• Er. Ashwani Kumar

This work presents the performance analysis of Particle Swarm Optimization (PSO) based Photovoltaic (PV) system with Genetic algorithm (GA) system. PV system is widely used in domestic applications as well as grid based applications. They are meeting with lot of challenges but still they provide low pollution. This system uses a boost converter; (MPPT) to be applied to the system to obtain a maximum output power of the PV system. This work provides comparative analysis of PV system using two optimization techniques in terms of their performance parameters. The results are compared with PSO and GA in terms of their performance characteristics. Simulation results are presented using MATLAB/Simulink Tool.

PV system, Efficiency, MPTT Controller, PSO Optimization etc.

"Performance Analysis & Enhancement of PV System using PSO & GA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.1618-1623, February-2021, Available :http://www.jetir.org/papers/JETIR2102192.pdf

"Performance Analysis & Enhancement of PV System using PSO & GA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp1618-1623, February-2021, Available at : http://www.jetir.org/papers/JETIR2102192.pdf