Power enhancement using improved maximum power point tracking for solar photovoltaic systems under partial shading
作者机构:Department of Electronics and Telecommunication EngineeringSymbiosis Institute of Technology(SIT)Symbiosis International(Deemed University)(SIU)LavalePune412115MaharashtraIndia Department of Robotics and Automation EngineeringSymbiosis Institute of Technology(SIT)Symbiosis International(Deemed University)(SIU)LavalePune412115MaharashtraIndia
出 版 物:《Clean Energy》 (清洁能源(英文))
年 卷 期:2022年第6卷第6期
页 面:810-816页
核心收录:
学科分类:08[工学] 0807[工学-动力工程及工程热物理]
主 题:solar photovoltaic MPPT shading optimization
摘 要:One of the key reasons contributing to a reduction in the performance of a solar photovoltaic(SPV)system is the presence of partial shade on the solar *** is necessary to use maximum power point tracking(MPPT)in SPV systems to get around the non-linear behaviour of photovoltaic *** research analyses the reduction in power output of SPV systems caused by partial *** the latter part of the paper,the improved dynamic behaviour-based ant colony optimization MPPT approach under the effect of module-level partial shading is implemented in MATLAB®/Simulink®.Various partial shading levels were applied to SPV modules to evaluate the system *** proposed system follows the maximum power point with 99.9%accuracy and a response time of 2 *** addition of a weight coefficient accelerates the convergence of the algorithm.