Distributed Maximum Power Point Tracking for Mismatched Modules of Photovoltaic Array
Artificial neural network; Compensators; Distributed maximum power point tracking; Partial shading; Photovoltaic; PV module
The multiple peaks in the output P-V characteristics of the photovoltaic (PV) module and the complete loss of shaded modules generation due to the existing bypass diode-based scheme are eliminated through the implementation of proven distributed maximum power point tracking (DMPPT). Considering the unique behavior of each PV Module, the artificial neural network is used in the DMPPT algorithm to track the MPP at every instant by learning the unique behavior of each PV module in this chapter. This eliminates the effect of manufacturing dispersion. Though the unique MPP is identified, the inability of the DMPPT algorithm in maintaining the PV modules in its own MPP is eliminated by the compensator circuits which are introduced in the array configuration along with the DMPPT in this chapter. These compensators enabled the maintenance of each PV module in its own MPP by providing the deficient current of each module and the deficient voltage of each string. So, this configuration increases the output power by including the generation of shaded modules instead of bypassing it. The results show that the proposed configuration avoids the multiple peak condition in P-V characteristics and improves the efficiency of the PV array under partially shaded conditions. 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Green Energy and Technology, pp. 231-251.
Springer Science and Business Media Deutschland GmbH
Jeyaprabha S.B., Department of Electrical and Electronics Engineering, CHRIST (Deemed to Be University), Bangalore, India