Photovoltaic Modules Monitoring Based on WSN With Improved Time Synchronization

Sun, Xianbo; Su, Yixin; Huang, Yong; Tan, Jianjun; Yi, Jianxin; Hu, Tao; Zhu, Li

doi:10.1109/access.2019.2939718

Cited by 9 publications

(3 citation statements)

References 17 publications

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“…To verify the effectiveness of RBS, TSP-GDM [19], ERBS and AERBS algorithms in terms of the synchronization precision, in the above simulation environment, four algorithms are applied to correct the time synchronization error in the case of 500 nodes. The simulation results are shown in Fig.…”

Section: ⅵ Simulation and Analysis Of Resultsmentioning

confidence: 99%

Research on Adaptive Energy-Efficient Reference Broadcasting Synchronization

Sun

Huang

et al. 2020

IEEE Access

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For large-scale photovoltaic module monitoring, wireless sensor network technology has been widely used, in which time synchronization is a significant factor. However, there are still outstanding issues in existing time synchronization algorithms for large-scale networking. To this end, this paper proposes a new Adaptive Energy-efficient Reference Broadcasting Synchronization method (AERBS) for wireless sensor networks, aiming to reduce the energy consumption whilst improving the synchronization precision. Moreover, the proposed method can reduce the number of synchronization information exchanges and self-adaptively determine the re-synchronization cycle. Simulation experiments demonstrate that our proposed AERBS outperforms the existing ERBS algorithm, in terms of reducing the synchronization number and the achieved reduction in energy consumption. The algorithm herein can be fully applied in the monitoring of large-scale photovoltaic module. At the same time, as a typical application of IoT (Internet of Things), it also provides a reference for distributed edge computing.

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Section: ⅵ Simulation and Analysis Of Resultsmentioning

confidence: 99%

Research on Adaptive Energy-Efficient Reference Broadcasting Synchronization

Sun

Huang

et al. 2020

IEEE Access

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“…Therefore, developing a photodetector with a broadband spectral response has become a primary research area. Significant efforts have been directed towards improving the spectral response by modifying the material and structure of photovoltaic modules [9][10][11]. Over the past decade, with the advancement of plasmonics, enhancing the performance of photodetectors through the exploitation of metal nanostructures has been considered viable [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Broadband Enhancement in the Spectral Response of Photovoltaic Modules with Flower-like Silver Particles

Wang,

Zhang,

Fan

et al. 2023

Photonics

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Recent research has indicated that metal nanoparticles, known for their unique optical properties, can enhance the spectral response of photovoltaic modules. Since most nanoparticles demonstrate enhancement effects within a specific wavelength range, broadening the spectral response of photoelectric devices is critical for their application in imaging, energy harvesting, and optical communication. In this study, we applied flower-like silver particles to achieve this broadband enhancement. The optical absorption of photovoltaic modules, featuring an amorphous Si p-i-n structure, was improved across a broad wavelength range of 400~2000 nm by integrating these flower-like silver particles, resulting in an approximately tenfold increase in peak spectral responsivity. The theoretical investigation further elaborates that the enhancement originates from the near-field effects of silver particles due to the interaction of different parts of the flower-like silver particles. Through these studies, we demonstrate that utilizing the flower-like silver particles with roughness surface can achieve the spectral response of the photoelectric device enhanced in broadband range, which can improve the utilization efficiency of optical energy for the applications of sensing, imaging, optical communication, and energy harvesting.

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“…Clock deviation estimation of intra-layer nodes based on Gauss delay model is applied to solve the problem of clock deviation estimation. 15…”

Section: Introductionmentioning

confidence: 99%

Design and development of a wireless sensor network time synchronization system for photovoltaic module monitoring

Sun

Huang

et al. 2020

International Journal of Distributed Sensor Networks

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Since the working situation of photovoltaic modules cannot be tracked in the real time and defective components cannot be located and controlled specifically, a remote monitoring system of photovoltaic modules based on wireless sensor networks is designed to improve the management efficiency of photovoltaic power plants. The monitoring data (current, voltage, and illumination, etc.) of photovoltaic modules are collected by the wireless sensor network nodes in real time, and then, there are orderly transmitted to the coordinator and server by the ZigBee communication protocol with the time synchronization algorithm. Time synchronization algorithm based on Gaussian delay model performs best in synchronization accuracy and energy-efficient reference broadcast synchronization algorithm is the most advantageous in synchronization energy consumption. Adaptive energy–efficient reference broadcasting synchronization algorithm is proposed with a balance between energy consumption and accuracy, which is applicable to large networks and thus conducive to the application of wireless sensor network in large-scale photovoltaic module monitoring. With the analysis and processing of the received data, the situation of the photovoltaic modules can be accordingly judged and thus the information management of photovoltaic power plant can be realized. For a photovoltaic power plant with a total power output of 100 kW and with 400 photovoltaic modules, experimental results show that the overall efficiency of the photovoltaic power plant can be increased by a wide margin.

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Photovoltaic Modules Monitoring Based on WSN With Improved Time Synchronization

Cited by 9 publications

References 17 publications

Research on Adaptive Energy-Efficient Reference Broadcasting Synchronization

Research on Adaptive Energy-Efficient Reference Broadcasting Synchronization

Broadband Enhancement in the Spectral Response of Photovoltaic Modules with Flower-like Silver Particles

Design and development of a wireless sensor network time synchronization system for photovoltaic module monitoring

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