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Intelligent Controller for Tracking the MPP of a PV System under Partial Shaded Conditions
Applied Solar Energy Pub Date : 2020-03-16 , DOI: 10.3103/s0003701x19050086 Emad Natsheh , Abdel-Razzak Natsheh , Tamer Khatib
中文翻译:
在部分阴影条件下跟踪光伏系统MPP的智能控制器
更新日期:2020-03-16
Applied Solar Energy Pub Date : 2020-03-16 , DOI: 10.3103/s0003701x19050086 Emad Natsheh , Abdel-Razzak Natsheh , Tamer Khatib
Abstract
This paper presents an intelligent maximum power point tracker which combines the conventional perturbation and observation method and an artificial neural network. The proposed controller overcomes the drawback of the conventional perturbation and observation under partial shading conditions. A MATLAB model for a photovoltaic system is developed so as to simulate system’s performance and characteristic under partial shading condition. This model includes models for PV array, DC–DC boost converter as well as the proposed algorithm. Results show that the proposed algorithm is able to track the global maxima accurately regardless the number of surrounding local maxima points with an efficiency of 95%.中文翻译:
在部分阴影条件下跟踪光伏系统MPP的智能控制器