Cite this article: | 施允洋,蔡逢泰,房开拓,等.基于自适应扰动观察法的光伏灌溉系统设计与验证[J].灌溉排水学报,0,():-. |
| SHI Yunyang,CAI Fengtai,FANG Kaituo,et al.基于自适应扰动观察法的光伏灌溉系统设计与验证[J].灌溉排水学报,0,():-. |
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DOI: |
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Design and Verification of PV Irrigation System Based on Adaptive Disturbance Observation Method |
SHI Yunyang, CAI Fengtai, FANG Kaituo, LIU Fangfang
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Suqian college
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Abstract: |
【Objective】 To solve the problems of wasted water resources and low system efficiency in PV irrigation system, 【Methods】 This paper proposes a photovoltaic irrigation system based on IOT technology, which detects soil moisture at nodes in real time, transmits the detection value back to the IOT platform through Zigbee technology, and the platform controls the actuator to complete irrigation according to the set threshold; for the defects of the maximum power point tracking (MPPT) algorithm of photovoltaic water pumping system group, the adaptive disturbance observation method is proposed, and the algorithm is simulated by Matlab/Simulink. 【Results】 The results show that the adaptive perturbation observation method proposed in this paper improves the tracking speed by 340% compared with the fixed-step perturbation observation method, and the system power loss is lower at the maximum power point; the irrigation control of soil moisture of two crops, paddy field and cotton field, in which the error value of paddy field is controlled at ±3% and the error value of cotton field is controlled at ±2%, achieves the expected results. 【Conclusion】 This irrigation system has the advantages of low cost and high efficiency. Through the Internet of Things technology, the system is more in line with the needs of use and can remotely monitor the status of crops and realize agricultural intelligence. |
Key words: Zigbee; perturbation observation method; photovoltaic irrigation; Internet of Things |
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