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http://dx.doi.org/10.7236/JIIBC.2019.19.1.219

Smart Monitoring System to Improve Solar Power System Efficiency  

Yoon, Yongho (School of Electrical and Electronic Engineering, Gwangju University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.19, no.1, 2019 , pp. 219-224 More about this Journal
Abstract
The number of solar power installation companies including domestic small scale (50kW or less) is increasing rapidly, but the efficient operation system and management are insufficient. Therefore, a new type of operating system is needed as a maintenance management aspect to maximize the generation amount in the current state rather than the additional function which causes the increase of the generation cost. In this paper, we utilize Big Data and sensor network to maximize the operating efficiency of solar power plant and analyze the expert system to develop power generation prediction technology, module unit fault detection technology, life prediction of inverter components and report technology, maintenance optimization And to develop a smart monitoring system that enables optimal operation of photovoltaic power plants such as development of algorithms and economic analysis.
Keywords
Solar Power Plant; Smart Monitoring Systems; Big Data; Generation Prediction; Maintenance System; Fault Detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 C. S. Lee, P. S. Ji, "Development of Daily PV Power Forecasting Models using ELM", Trans. KIEE. Vol. 64P, No. 3, pp. 164-168, 2015. DOI: http://doi.org/10.5370/KIEEP.2015.64.3.164
2 J. D. Lee, C. H. Kim, "An Analysis of Optimal Installation Condition and Maximum Power Generation of Photovoltaic Systems Applying Perez Model", Trans. KIEE. Vol. 61, No. 5, pp. 683-689, 2012. DOI: http://doi.org/10.5370/KIEE.2012.61.5.683   DOI
3 C. S. Lee, P. S. Ji, "Modeling of Photovoltaic Power Systems using Clustering Algorithm and Modular Networks", Trans. KIEE. Vol. 65P, No. 2, pp. 108-113, 2016. DOI: http://doi.org/10.5370/KIEEP.2016.65.2.108
4 K. D. King, "The Development of the Short-Term Predict Model for Solar Power Generation", Journal of the Korean Solar Energy Society, Vol. 33, No. 6, pp. 62-69, 2013. DOI: http://doi.org/10.7836/kses.2013.33.6.062   DOI
5 K. H. Kim, "Internet Management System for an Intelligent Remote Control and Monitoring", The Journal of The Institute of Internet, Broadcasting and Communication(JIIBC), Vol. 10, No. 4, pp. 1-5, 2010.
6 J. H. Park, B. M. Kim, H. D. Lee, Y. H. Nam, D. S. Rho, "A Study on Control Algorithms of Efficiency Improvement Device for PV System Operation using Li-ion Battery", Journal of the Korea Academia-Industrial cooperation Society (JKAIS), Vol. 19, No. 10, pp. 590-597, 2018. DOI: https://doi.org/10.5762/KAIS.2018.19.10.590   DOI
7 Pratish Rawat, Pardeep Kumar, "Performance evaluation of solar photovoltaic/thermal systems", International Journal of Science and Research, Vol. 4, No 8, pp. 1466-1471, 2015. DOI:http://doi.org/10.1016/S0038-092X(00)00153-5
8 Y. S. Hong, C. S. Kim, B. J. Yun, "A Management Method for Solar Photovoltaic Power Generation System Using Intelligence", The Journal of The Institute of Internet, Broadcasting and Communication(JIIBC), Vol. 6, No. 2, pp. 35-41, 2006.
9 H. C. Cho, K. Y. Sim, "A Development of Smart Monitoring Technique for Photovoltaic Power Systems", Trans. KIEE. Vol. 64P, No. 2, pp. 50-56, 2015. DOI: http://doi.org/10.5370/KIEEP.2015.64.2.050