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,< Yunbo Shi>,< Xiaoyu Yu>,< Yongjie Liu> Àú | ¾ÆÁø

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2020-07-14
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Currently, tracking in photovoltaic (PV) systems suffers from some problems such
as high energy consumption, poor anti-interference performance, and large
tracking errors. This paper presents a solar PV tracking system on the basis of an
improved perturbation and observation method, which maximizes photoelectric
conversion efficiency. According to the projection principle, we design a sensor
module with a light-intensity-detection module for environmental light-intensity
measurement. The effect of environmental factors on the system operation is
reduced, and intelligent identification of the weather is realized. This system
adopts the discrete-type tracking method to reduce power consumption. A
mechanical structure with a level-pitch double-degree-of-freedom is designed, and
attitude correction is performed by closed-loop control. A worm-and-gear
mechanism is added, and the reliability, stability, and precision of the system are
improved. Finally, the perturbation and observation method designed and improved
by this study was tested by simulated experiments. The experiments verified that
the photoelectric sensor resolution can reach 0.344¡Æ, the tracking error is less
than 2.5¡Æ, the largest improvement in the charge efficiency can reach 44.5%, and
the system steadily and reliably works.

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Intelligent Photovoltaic Systems by Combining the Improved
Perturbation Method of Observation and Sun Location Tracking
1. Introduction 41
2. System Structure 42
3. Disturbance Subsystem 44
4. Hardware Circuit Design of the Disturbance System 46
5. Software Design 51
6. Model Simulation and System Test 54
7. References 64