An algorithm to extract the maximum power from the PV-based generation systems under non-uniform weather

Abstract

This paper presents a fast and simple algorithm to extract the maximum power under non-uniform weather from the photovoltaic (PV) based generation systems. The proposed algorithm’s three stages are the scanning stage, the tracking stage, the detecting and avoiding the hidden points stage. The hidden points are caused by a transition between the global maximum power point (GMPP) and a local maximum power point (LMPP) when the partial shading conditions (PSCs) are changed. This transition cannot be observed by monitoring only the power difference of the PV generation system. Simulation results with comparisons to other algorithms developed for global maximum power point tracking (GMPPT) under PSCs are provided to clarify and show the effectiveness of the proposed GMPPT algorithm. The average tracking speed of the proposed algorithm is two times faster than the compared MPPT algorithms, with about 2% more power generated with no additional cost. Moreover, the proposed GMPPT algorithm is implemented in real-time using National Instruments (NI) CompactRIO in field-programmable gate array (FPGA) mode to confirm the applicability of the proposed work.

Performance comparison between proportional–integral and backstepping control of maximum power in photovoltaic system

“…In this paper, a boost converter is used in this work to have the desired input voltage value to follow the most powerful (MPP) and regulate the output voltage of the solar arrays as per the requirements. The purpose of a DC-DC boost converter is to help the photovoltaic generator, through maximum power point tracking (MPPT) techniques, to provide maximum power [9]- [13]. There are multiple algorithms to track the MPP point in a very efficient way; some research proposes two types of use of MPPT techniques: indirect MPP monitoring, such as fractional open-circuit voltage technique [14] and the second technique is direct MPP point tracking, such as incremental conductance [15]- [20] or the perturb and observe (P&O) method [21]- [23] which is used in this study.…”