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http://dx.doi.org/10.7471/ikeee.2020.24.2.403

A study on the outlier data estimation method for anomaly detection of photovoltaic system  

Seo, Jong Kwan (KEI Dept, I-ON communications)
Lee, Tae Il (KEI Dept, I-ON communications)
Lee, Whee Sung (KEI Dept, I-ON communications)
Park, Jeom Bae (KEI Dept, I-ON communications)
Publication Information
Journal of IKEEE / v.24, no.2, 2020 , pp. 403-408 More about this Journal
Abstract
Photovoltaic (PV) has both intermittent and uncertainty in nature, so it is difficult to accurately predict. Thus anomaly detection technology is important to diagnose real time PV generation. This paper identifies a correlation between various parameters and classifies the PV data applying k-nearest neighbor and dynamic time warpping. Results for the two classifications showed that an outlier detection by a fault of some facilities, and a temporary power loss by partial shading and overall shading occurring during the short period. Based on 100kW plant data, machine learning analysis and test results verified actual outliers and candidates of outlier.
Keywords
Photovoltaic; Anomaly Detection; K-nearest neighbor; Classification; Dynamic Time Warpping;
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  • Reference
1 "Global Market Outlook for soalr power 2019-2023," The solar power eruope, 2019.
2 "Renewable energy 3020 plan (RE3020)," MOTIE of Korea, 2017.
3 "2019 Quarterly Report," The Export-import Bank of Korea, Vol.9, 2019.
4 Hye-won Ahn, Yong-sung Cho, "Study on Certification Policy for Stabilization of Photovoltaic Industry - A Case Study of PV Power Plant O&M," Journal of Climate Change Research, Vol.6 No.2, 2015.
5 Tae-hoon Jeon, Young-Ju Lee, Myeong-Hwan Kim, Jeong-Cheol Lee, Jun-Ho Park, Gwon-Jong Yu, "Factors and solutions of decline of power generation efficiency during O&M of PV systems," Journal of Korean Solar Energy Society, Vol.5, No.1, 2015.
6 Jeong-won Kim, "A Solar Power Prediction Scheme Based on Machine Learning Algorithm from Weather Forecasts," Journal of KIIT Vol.17 No.9, 2019.
7 Kyung-Eun Park, Gi-Hwan Kang, Hyun-Il Kim, Gwon-Jong Yu, Jun-Tae Kim, "Study on variation of electrical characteristics of vertical PV module according to the change of irradiance and temperature," Journal of the Korean Solar Energy Society autumn conference, 2008.
8 Hee-Jung Youn, Seong-Wan Jang, Eun-Heui Lee, "Temperature Monitoring of Vegetation Models for the Extensive Green Roof," Journal of the Korea Institute of Ecological Architecture and Environment, Vol.13, No.5, 2013. DOI: 10.12813/kieae.2013.13.5.089
9 W. Durish, B. Bitnar, Jean-C Mayor, H. Kiess, K. Lam, J. Close, "Efficiency model for photovoltaic modeules and demonstration of its application to energy yield estimation," Solar Energy Materials and Solar Cells, Vol.91, pp.79-84, 2007. DOI: 10.1016/j.solmat.2006.05.011   DOI