Novel Fast-Speed Partial-Shading-Tolerant Flexible Power Point Tracking for Photovoltaic Systems With Explicit Key Points Estimation
Yinxiao Zhu, Huiqing Wen, Hossein Dehghani Tafti, Guangyu Wang, Qinglei Bu, Guanying Chu, Haochen Shi, Yihua Hu, Lin Jiang
Abstract
Recent power curtailment-based photovoltaic (PV) flexible power point tracking (FPPT) algorithms mainly adopted intricate curve fitting or sophisticated curve-scanning mechanisms to ensure the grid supportive functionalities under partial shading conditions (PSCs), showing the limitations of mathematical solidity or system dynamics improvement. Accordingly, a novel fast-speed partial-shading-tolerant FPPT (PST-FPPT) algorithm is proposed in this article. Regarding the proposed scheme, a modified explicit PV model is developed to express the key operation points with the assistance of several representative current-voltage samples from the initialization process, which is beneficial to computational burden reduction and irradiance sensors removal. Additionally, to guarantee the tracking speed to system dynamics, a set point estimation-based direct voltage regulation strategy is proposed in this article, eliminating the redundant searching in approaching the predefined power command. Simulation and experimental evaluations under various PSCs and operational circumstances validated the effectiveness of the proposed control.