한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제25권10호
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  • Pages.1448-1456
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  • 2022
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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다층 퍼셉트론을 이용한 인버터의 효율 감소 진단 모델에 관한 연구

Research on Model to Diagnose Efficiency Reduction of Inverters using Multilayer Perceptron

  • 투고 : 2022.09.20
  • 심사 : 2022.09.29
  • 발행 : 2022.10.31
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초록

This paper studies a model to diagnose efficiency reduction of inverter using Multilayer Perceptron(MLP). In this study, two inverter data which started operation at different day was used. A Multilayer Perceptron model was made to predict photovoltaic power data of the latest inverter. As a result of the model's performance test, the Mean Absolute Percentage Error(MAPE) was 4.1034. The verified model was applied to one-year-old and two-year-old data after old inverter starting operation. The predictive power of one-year-old inverter was larger than the observed power by 724.9243 on average. And two-year-old inverter's predictive value was larger than the observed power by 836.4616 on average. The prediction error of two-year-old inverter rose 111.5572 on a year. This error is 0.4% of the total capacity. It was proved that the error is meaningful difference by t-test. The error is predicted value minus actual value. Which means that PV system actually generated less than prediction. Therefore, increasing error is decreasing conversion efficiency of inverter. Finally, conversion efficiency of the inverter decreased by 0.4% over a year using this model.

키워드

과제정보

This work was supported by Korea Institute of Energy Technology Evaluation and Planning(KETEP) grant funded by the Korea government(MOTIE)(2020 3040010420, ICT safety management technology development and business model demonstration through performance enhancement of small-capacity obsolescene photovoltaic(heating) system facilities).

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