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研究生: 蔡允升
Tsai, Yun-Sheng
論文名稱: 整合滑動視窗演算法與電壓感測技術於太陽光電系統故障樣態辨識與定位之研究
Integration of Sliding Window Algorithm and Voltage Sensing Technology for Fault Pattern Identification and Localization in Photovoltaic Systems
指導教授: 黃世杰
Huang, Shyh-Jier
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電機工程學系
Department of Electrical Engineering
論文出版年: 2025
畢業學年度: 113
語文別: 中文
論文頁數: 75
中文關鍵詞: 再生能源故障偵測定位太陽光電系統滑動視窗演算法
外文關鍵詞: Renewable Energy, Fault Detection and Localization, Photovoltaic System, Sliding Window Algorithm
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  • 摘要 I 英文摘要 II 誌謝 V 目錄 VI 表目錄 VIII 圖目錄 IX 1 第一章 緒論 1 1-1 研究背景與動機 1 1-2 文獻回顧與探討 1 1-3 研究方法與步驟敘述 4 1-4 論文各章重點簡述 6 2 第二章 太陽光電系統維運探討 7 2-1 前言 7 2-2 光電系統架構分類研究與檢測技術 8 2-2-1 表面汙染與熱斑導致模組故障 9 2-2-2 模組接地故障 11 2-2-3 模組短暫遮蔭故障 12 2-3 電場作為灰塵移除效能檢驗法 14 2-4 電壓作為模組故障訊號檢驗法 15 2-5 結論 17 3 第三章 光電系統故障偵測之軟硬體電路探討 18 3-1 前言 18 3-2 光電系統故障偵測硬體電路架構 19 3-3 滑動視窗演算法及故障樣態偵測 24 3-4 故障偵測流程圖 35 3-5 本章結論 37 4 第四章 系統實作與測試結果 38 4-1 前言 38 4-2 資料蒐集分析系統介紹 41 4-3 太陽光電系統正常運轉 42 4-4 太陽光電系統發生單片模組故障 43 4-5 太陽光電系統發生雙片模組故障 46 4-5-1測試一:雙片模組發生在同一串列 46 4-5-2測試二:雙片模組發生在不同串列 47 4-6 太陽光電系統發生接地故障 49 4-7 太陽光電系統發生短暫遮蔭故障 51 4-8 本章結論 53 5 第五章 結論及未來研究方向 54 5-1 結論 54 5-2 未來研究方向 55 參考文獻 56

    [1] C. Schuss, K. Remes, K. Leppanen, J. Saarela, T. Fabritius, B. Eichberger, and T. Rahkonen, “Detecting Defects in Photovoltaic Panels With the Help of Synchronized Thermography,” IEEE Transactions on Instrumentation and Measurement, vol. 67, no. 5, pp. 1178-1186, May 2018.
    [2] A. Haque, K. V. S. Bharath, M. A. Khan, I. Khan, and Z. A. Jaffery, “Fault Diagnosis of Photovoltaic Modules,” Energy Science & Engineering, vol. 7, no. 3, pp. 622-644, October 2018.
    [3] Z. Zhang, M. Ma, H. Wang, H. Wang, W. Ma, and X. Zhang, “A Fault Diagnosis Method for Photovoltaic Module Current Mismatch Based on Numerical Analysis and Statistics,” Solar Energy, vol. 225, pp. 221-236, September 2021.
    [4] K. Osmani, A. Haddad, T. Lemenand, B. Castanier, M. Alkhedher, and M. Ramadan, “A Critical Review of PV Systems Faults with the Relevant Detection Methods,” Energy Nexus, vol. 12, pp. 1-32, December 2023.
    [5] J. Gaboitaolelwe, A. M. Zungeru, A. Yahya, C. K. Lebekwe, D. N. Vinod, and A. O. Salau, “Machine Learning Based Solar Photovoltaic Power Forecasting: A Review and Comparison,” IEEE Access, vol. 11, pp. 40820-40845, April 2023.
    [6] M. M. Mansouri, S. Hadjeri, and M. Brahami, “New Method of Detection, Identification, and Elimination of Photovoltaic System Faults in Real Time Based on the Adaptive Neuro-Fuzzy System,” IEEE Journal of Photovoltaics, vol. 11, no. 3, pp. 797-805, May 2021.
    [7] D. S. Pillai, and N. Rajasekar, “An MPPT-Based Sensorless Line-Line and Line–Ground Fault Detection Technique for PV Systems,” IEEE Transactions on Power Electronics, vol. 34, no. 9, pp. 8646-8659, September 2019.
    [8] B. P. Kumar, G. S. Ilango, M. J. B. Reddy, and N. Chilakapati, “Online Fault Detection and Diagnosis in Photovoltaic Systems Using Wavelet Packets,” IEEE Journal of Photovoltaics, vol. 8, no. 1, pp. 257-265, January 2018.
    [9] B. P. Kumar, D. S. Pillai, N. Rajasekar, M. Chakkarapani, and G. S. Ilango, “Identification and Localization of Array Faults with Optimized Placement of Voltage Sensors in a PV System,” IEEE Transactions on Industrial Electronics, vol. 68, no. 7, pp. 5921-5931, July 2021.
    [10] Y. Hu, J. Zhang, W. Cao, J. Wu, G. Y. Tian, S. J. Finney, and J. L. Kirtley, “Online Two-Section PV Array Fault Diagnosis with Optimized Voltage Sensor Locations,” IEEE Transactions on Industrial Electronics, vol. 62, no. 11, pp. 7237-7246, November 2015.
    [11] M. Alajmi, O. Aljasem, N. Ali, A. Alqurashi, and I. Abdel- Qader, “Fault Detection and Localization in Solar Photovoltaic Arrays Framework: Hybrid Methods of Data Analysis and A Network of Voltage–Current Sensors,” IEEE International Conference on Electro/Information Technology, Rochester, USA, pp. 0404-0410, May 2018.
    [12] S. S. Sakthivel, V. Arunachalam, and K. Jagatheesan, “Detection, Classification, and Location of Open-Circuit and Short-Circuit Faults in Solar Photovoltaic Array: An Approach Using Single Sensor,” IEEE Journal of Photovoltaics, vol. 13, no. 6, pp. 986-990, August 2023.
    [13] S. Bello, A. Urwick, F. Bastianini, A. J. Nedoma, and A. Dunbar, “An Introduction to Perovskites for Solar Cells and Their Characterization,” Energy Reports, vol. 8, pp. 89-106, August 2022.
    [14] IEEE Recommended Practice for Testing Insulation Resistance of Electric Machinery, IEEE, 2013.
    [15] IEEE Guide for Measuring Earth Resistivity, Ground Impedance, and Earth Surface Potentials of a Grounding System, IEEE, 2012.
    [16] H.-S. Chen, and H.-Y. Kuo, “Integrated Multi-Attribute Preference Analysis in Fisheries and Solar Power Symbiosis Areas: A Case Study in Cigu, Taiwan,” Water, vol. 13, no. 22, November 2021.
    [17] M. A. Koondhar, L. Albasha, I. Mahariq, B. B. Graba, and E. Touti, “Reviewing Floating Photovoltaic (FPV) Technology for Solar Energy Generation,” Energy Strategy Reviews, vol. 54, pp. 1-14, July 2024.
    [18] R. Singh, V. K. Yadav, and M. Singh, “An Improved Hot Spot Mitigation Approach for Photovoltaic Modules Under Mismatch Conditions,” IEEE Transactions on Industrial Electronics, vol. 71, no. 5, pp. 4840-4850, May 2024.
    [19] W. P. Lamb, D. E. Asnes, J. Kupfer, E. Lickey, J. Bakken, R. C. Haskell, P. N. Saeta, and Q. Yang, “Real-Time Anticipation and Prevention of Hot Spots by Monitoring the Dynamic Conductance of Photovoltaic Panels,” IEEE Journal of Photovoltaics, vol. 12, no. 4, pp. 1051-1057, July 2022.
    [20] L. Koester, S. Lindig, A. Louwen, A. Astigarraga, G. Manzolini, and D. Moser, “Review of Photovoltaic Module Degradation, Field Inspection Techniques and Techno-Economic Assessment,” Renewable and Sustainable Energy Reviews, vol. 165, pp. 1-15, September 2022.
    [21] M. Dhimish, and Z. Chen, “Novel Open-Circuit Photovoltaic Bypass Diode Fault Detection Algorithm,” IEEE Journal of Photovoltaics, vol. 9, no. 6, pp. 1819-1827, September 2019.
    [22] K. A. Kim, and P. T. Krein, “Reexamination of Photovoltaic Hot Spotting to Show Inadequacy of the Bypass Diode,” IEEE Journal of Photovoltaics, vol. 5, no. 5, pp. 1435-1441, September 2015.
    [23] E. Díaz-Dorado, A. Suárez-García, C. Carrillo, and J. Cidrás “Influence of the Shadows in Photovoltaic Systems with Different Configurations of Bypass Diodes,” International Symposium on Power Electronics, Electrical Drives, Automation and Motion, Pisa, Italy, pp. 134-139, June 2010.
    [24] C. G. Lee, W. G. Shin, J. R. Lim, G. H. Kang, Y. C. Ju, H. M. Hwang, H. S. Chang, and S. W. Ko, “Analysis of Electrical and Thermal Characteristics of PV Array under Mismatching Conditions Caused by Partial Shading and Short Circuit Failure of Bypass Diodes,” Energy, vol. 218, pp. 1-15, March 2021.
    [25] P. B. Quater, F. Grimaccia, S. Leva, M. Mussetta, and M. Aghaei, “Light Unmanned Aerial Vehicles (UAVs) for Cooperative Inspection of PV Plants,” IEEE Journal of Photovoltaics, vol. 4, no. 4, pp. 1107-1113, July 2014.
    [26] M. M. De Benedetti, L. Bascetta, A. Falsone, and M. Prandini, “Automated Photovoltaic Power Plant Inspection via Unmanned Vehicles,” IEEE Transactions on Control Systems Technology, vol. 32, no. 2, pp. 399-412, March 2024.
    [27] G. E. Mustafa Abro, A. Ali, S. Ali Memon, T. Din Memon, and F. Khan, “Strategies and Challenges for Unmanned Aerial Vehicle-Based Continuous Inspection and Predictive Maintenance of Solar Modules,” IEEE Access, vol. 12, pp. 176615-176629, November 2024.
    [28] B. Aljafari, P. R. Satpathy, S. B. Thanikanti, and N. Nwulu, “Supervised Classification and Fault Detection in Grid-Connected PV Systems Using 1D-CNN: Simulation and Real-Time Validation,” Energy Reports, vol. 12, pp. 2156-2178, December 2024.
    [29] W. Miao, Y. Luo, F. Wang, and C. Jiang, “Fault Detection and Location Algorithm by Voltage Characteristics for PV System,” IEEE Journal of Photovoltaics, vol. 13, no. 6, pp. 968-978, November 2023.
    [30] S. Chandrasekharan, S. K. Subramaniam, and B. Natarajan, “Current Indicator Based Fault Detection Algorithm for Identification of Faulty String in Solar PV System,” IET Renewable Power Generation, vol. 15, no. 7, pp. 1596-1611, February 2021.
    [31] A. Djalab, N. Bessous, M. Mounir Rezaoui, and I. Merzouk, “Study of the Effects of Partial Shading on PV Array,” International Conference on Communications and Electrical Engineering, El Oued, Algeria, pp. 1-5, December 2018.
    [32] K. Abdulmawjood, S. Alsadi, S. S. Refaat, and W. G. Morsi, “Characteristic Study of Solar Photovoltaic Array Under Different Partial Shading Conditions,” IEEE Access, vol. 10, pp. 6856-6866, December 2021.
    [33] S. Guo, T. Michael Walsh, A. G. Aberle, M. Peters “Analyzing Partial Shading of PV Modules by Circuit Modelling,” 38th IEEE Photovoltaic Specialists Conference, Austin, Texas, USA, pp. 002957-002960, June 2012.
    [34] H. Kawamoto, and T. Shibata, “Electrostatic Cleaning System for Removal of Sand from Solar Panels,” Journal of Electrostatics, vol. 73, pp. 65-70, pp. 1-5, February 2015.
    [35] S. A. Baqraf, M. A. Gondal, M. A. Dastageer, R. Muhammad, and A. Al-Aswad, “Parametric Optimization of an Unmanned Three-Phase Electrodynamic Dust Shield for Sustainable Photovoltaic Panel Operation for Dusty Environments and Space Applications,” ACS Applied Energy Materials, vol. 5, no. 12, pp. 15048-15057, November 2022.
    [36] M. Mazumder, M. N. Horenstein, J. W. Stark, P. Girouard, R. Sumner, B. Henderson, O. Sadder, I. Hidetaka, A. S. Biris, and R. Sharma, “Characterization of Electrodynamic Screen Performance for Dust Removal from Solar Panels and Solar Hydrogen Generators,” IEEE Transactions on Industry Applications, vol. 49, no. 4, pp. 1793-1800, August 2013.
    [37] A. Sayyah, M. N. Horenstein, M. K. Mazumder, and G. Ahmadi, “Electrostatic Force Distribution on an Electrodynamic Screen,” Journal of Electrostatics, vol. 81, pp. 24-36, June 2016.
    [38] STM32CubeIDE Datasheet, STMicroelectronics, 2024 [Online]Available:https://www.st.com/en/developmenttools/stm32cubeide.html
    [39] Visual Studio C#,Microsoft [Online]Available: https://learn.microsoft.com/en-us/visualstudio/get-started/csharp/?view=vs-2022
    [40] STM32F4 series Datasheet, STMicroelectronics, 2020 [Online]Available:https://www.st.com/resource/en/datasheet/dm00037051.pdf

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