KMA Open-API Weather Information based Performance Evaluation and Fault Detection Remote Monitoring System for Small and Medium-Scale PV Systems

Hee Won Lim; Il Kwon Kim; U Cheul Shin

doi:10.7836/kses.2023.43.2.065

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2023 Vol.43, Issue 2 Preview Page

Research Article

KMA Open-API Weather Information based Performance Evaluation and Fault Detection Remote Monitoring System for Small and Medium-Scale PV Systems 기상청 개방형-API 기상정보 기반 중·소규모 태양광발전 성능평가 및 고장감지 원격 모니터링시스템

30 April 2023. pp. 65-78

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Abstract

Small and medium-sized unmanaged grid-connected photovoltaic (PV) systems are difficult to manage owing to the installation costs of monitoring systems. Consequently, they can be left unattended for a long time following break downs. Thus, in this study, we developed a low-cost remote monitoring system for small-sized PV systems. The proposed monitoring system is equipped with a failure detection algorithm based on the simulation of an active system that accurately predicts the power output under normal operating conditions. Additionally, the monitoring system can recognize and notify a failure when the actual power generation is abnormally low. To lower the cost, we utilized SBC as a data server by edge computing and designed a monitoring system using the open-source software openHAB. Moreover, we used an open-API (ground weather observation data) provided by the Korea meteorological administration (KMA) to obtain hourly weather data (horizontal radiation, outdoor temperature, wind speed, etc.) for free to use in the simulation analysis. The Shewhart control chart was used as a benchmark for fault detection, where the ratio of the measured power generation to simulated generation was set as the observed value. From the verification test for actual grid-connected PV systems, it was confirmed that the monitoring system can effectively identify the occurrence of abnormal operating conditions, such as open-circuit, partial shading, etc.

Keywords

Open-API

Fault detection

Shewhart control chart

Remote monitoring system

PV system

키워드

개방형 인터페이스

고장감지

슈하르트 관리도

원격모니터링시스템

태양광발전시스템

References

Chouder, A. and Silvestre, S., Automatic Supervision and Fault Detection of PV Systems Based on Power Losses Analysis, Energy Conversion and Management, Vol. 51, No. 10, pp. 1929-1937, 2010. 10.1016/j.enconman.2010.02.025

Silvestre, S., Chouder, A., and Karatepe, E., Automatic Fault Detection in Grid Connected PV System, Solar Energy, Vol. 94, pp. 119-127, 2013. 10.1016/j.solener.2013.05.001

Madeti, S. R. K., A Monitoring System for Online Fault Detection in Multiple Photovoltaic Arrays, Renewable Energy Focus, Vol. 41, pp. 160-178, 2022. 10.1016/j.ref.2022.03.001

Firth, S. K., Lomas, K. J., and Rees, S. J., A Simple Model of PV System Performance and Its Use in Fault Detection, Solar Energy, Vol. 84, No. 4, pp. 624-635, 2010. 10.1016/j.solener.2009.08.004

Kim, Y. and Shim, K., Efficiency Computation and Failure Detection of Solar Power Generation Panels, Journal of KIISE : Computer Systems and Theory, Vol. 40, No. 1, pp. 1-7, 2013.

Jenitha, P. and Selvakumar, A. I., Fault Detection in PV Systems, Applied Solar Energy, Vol. 53, pp. 229-237, 2017. 10.3103/S0003701X17030069

Chao, K. H., Ho, S. H., and Wang, M. H., Modeling and Fault Diagnosis of a Photovoltaic System, Electric Power Systems Research, Vol. 78, No. 1, pp. 97-105, 2008. 10.1016/j.epsr.2006.12.012

Platon, R., Martel, J., Woodruff, N., and Chau, T. Y., Online Fault Detection in PV Systems, IEEE Transactions on Sustainable Energy, Vol. 6, No. 4, pp. 1200-1207, 2015. 10.1109/TSTE.2015.2421447

Lim, H. W., Kim, I. K., Kim, J. H., and Shin, U. C., Simulation-based Fault Detection Remote Monitoring System for Small-scale Photovoltaic Systems, Energies, Vol. 15, No. 24, pp. 9422, 2022. 10.3390/en15249422

Skoplaki, E. and Palyvos, J. A., On the Temperature Dependence of Photovoltaic Module Electrical Performance: A Review of Efficiency/Power Correlations, Solar Energy, Vol. 83, No. 5, pp. 614-624, 2009. 10.1016/j.solener.2008.10.008

Evans, D. L., Simplified Method for Predicting Photovoltaic Array Output, Solar Energy, Vol. 27, No. 6, pp. 555-560, 1981. 10.1016/0038-092X(81)90051-7

Duffie, J. A. and Beckman, W. A., Solar Engineering of Thermal Process, John Wiley & Sons, 2013. 10.1002/9781118671603PMC3605844

Erbs, D., Klein, S., and Duffie, J. A., Estimation of the Diffuse Radiation Fraction for Hourly, Daily and Monthly-average Global Radiation, Solar Energy, Vol. 28, No. 4, pp. 293-302, 1982. 10.1016/0038-092X(82)90302-4

Reindl, D. T., Beckman, W. A., and Duffie, J. A., Diffuse Fraction Correlations, Solar Energy, Vol. 45, No. 1, pp. 1-7, 1990. 10.1016/0038-092X(90)90060-P

Brandemuehl, M. J. and Beckman, W. A., Transmission of Diffuse Radiation through CPC and Flat-plate Collector Glazings, Solar Energy, Vol. 24, No. 5, pp. 511-513, 1980. 10.1016/0038-092X(80)90320-5

Mermoud, A., Modeling Systems Losses in PVsyst, Institute of the Environmental Sciences Group of Energy-PVsyst, Universitè de Genève, 2010.

Official Korean Government Portal, 2023. https://www.data.go.kr. last accessed on the 18^th April 2023.

Pervaiz, S. and Khan, H. A., Low Irradiance Loss Quantification in c-si Panels for Photovoltaic Systems, Journal of Renewable and Sustainable Energy, Vol. 7, No. 1, pp. 013129, 2015. 10.1063/1.4906917

Nist/Sematech e-Handbook of Statistical Methods, 2012. http://www.itl.nist.gov/div898/handbook. last accessed on the 18^th April 2023.

Montgomery, D. C., Introduction to Statistical Quality Control, John Wiley & Sons, New York, 2005.

Filho, E. A. S., Müller, B., Holland, N., Reise, C., Kiefer, K., Kollosch, B., and Branco, P. J. C., Practical Recommendations for the Design of Automatic Fault Detection Algorithms Based on Experiments with Field Monitoring Data, Solar Energy, Vol. 244, pp. 227-241, 2022. 10.1016/j.solener.2022.08.022

openHAB Documentation, 2023. https://www.openhab.org/docs. last accessed on the 18^th April 2023.

Information

Publisher :Korean Solar Energy Society
Publisher(Ko) :한국태양에너지학회
Journal Title :Journal of the Korean Solar Energy Society
Journal Title(Ko) :한국태양에너지학회 논문집
Volume : 43
No :2
Pages :65-78
Received Date : 2023-03-09
Revised Date : 2023-04-04
Accepted Date : 2023-04-05
DOI :https://doi.org/10.7836/kses.2023.43.2.065

Journal of the Korean Solar Energy Society ISSN:1598-6411(Print) 2508-3562(Online) 한국태양에너지학회 논문집

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