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[IEEE 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) - Chennai, India (2019.3.14-2019.3.15)] 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) - Implementation of Enhanced Global Search Particle Swarm Optimization Algorithm for Photovoltaic Systems
摘要: Solar Power is the potential alternative to other sources of energy due to its pure and readily available nature. Solar power wattage is not always wonted or constant. It is due to its unaccustomed multi-peak power voltage characteristics exhibited by a variable swing in environmental conditions and shading effects. Swarm Intelligence has been playing a vital role in optimization problem owing to its intelligibility and directness. This article presents an Inertia Modified Particle Swarm Optimization (IM-PSO) algorithm for photovoltaic power extraction. The proposed method helps to keep track of the maximum power point in lesser effort thereby ensuring proper maximum power. The algorithm is modeled in MATLAB/SIMULINK simulated environment. The results prove it especial to other traditional techniques.
关键词: Optimization,MPPT,Inertia Factor,Partial Shading effects,PSO
更新于2025-09-16 10:30:52