학술논문

Global Hybrid Maximum Power Point Tracking for PV Modules Based on a Double-Diode Model
Document Type
Periodical
Source
IEEE Access Access, IEEE. 9:158440-158455 2021
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Heuristic algorithms
Voltage
Hybrid power systems
Computational modeling
Maximum power point trackers
Photovoltaic systems
Estimation
Double diode model
global maximum power point tracking
solar photovoltaic power generation
Language
ISSN
2169-3536
Abstract
Photovoltaic systems under partial shading conditions (PSC) need to operate at the global maximum power point (GMPP) to extract the maximum possible power. Partial shading is characterized by the exhibition of a multi-peaked behavior in the voltage power (P-V) curve. Hence, there are several methods capable of extracting the GMPP from a multi-peaked P-V curve with various distinct characteristics. However, it is important that these techniques have fast dynamic responses to reduce power losses during the GMPP searching process. To fill this very important research gap by improving performance, an efficient hybrid global maximum power point tracking (GMPPT) technique combining a fast double-diode model-based technique and the classic Perturb and Observe (P&O) is proposed. The double-diode model used was modeled for a large number of series and parallel connected modules in a shaded photovoltaic array, which can be used as a valuable tool in the practical evaluation of a photovoltaic installation under PSC. The proposed method accurately tracks the global maximum power point at any operation point with good tracking speed and excellent efficiency. In addition, simulation and experimental results are presented to demonstrate its performance and comparative results with two other GMPPT techniques.