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2024 Vol.44, Issue 2 Preview Page

Research Article

Photovoltaic System Output Analysis and Tracking Method Based on the Surveyed Data

실측 데이터를 활용한 태양광 발전 시스템의 출력 분석 및 추정 방법

Hyun-Woo Kim1
,
Seon-Ju Ahn2
,
Sang-Yun Yun2
,
Joon-Ho Choi2*
김 현우1
,
안 선주2
,
윤 상윤2
,
최 준호2*
1Ph.D. Candidate, Department of Electrical Engineering, Chonnam National University
2Professor, Department of Electrical Engineering, Chonnam National University
1전남대학교 전기공학과, 박사과정
2전남대학교 전기공학과, 교수
*Corresponding Author
30 April 2024. pp. 37-49
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Abstract

In this study, the measurement data from the photovoltaic demonstration site and the sensing data from solar radiation and temperature sensors are used to propose a method for analyzing photovoltaic output and a method for tracking it. For photovoltaic output analysis, the theoretical output and profile of the photovoltaic are derived based on the installation and history data. Using the proposed temperature coefficient, the theoretical calculation result of the photovoltaic output is supplemented with the expected output optimized for the site. For photovoltaic output tracking, the current photovoltaic output is tracked based on the amount of solar radiation and temperature sensor data. The site-optimized radiation and weather coefficients are derived from historical data, and the photovoltaic output is tracked by applying each coefficient to the sensing data for a certain time period. The proposed methods are designed and verified based on the survey data from a demonstration site established at Chonnam National University, Yongbong-dong, Gwangju.

Keywords
Temperature coefficient
Radiation coefficient
Output analysis
Output tracking
Photovoltaic system
Weather coefficient
키워드
온도 계수
일사량 계수
출력 분석
출력 추정
태양광 발전 시스템
날씨 계수
References
1

Kim, C., A Review of the Deployment Programs, Impact, and Barriers of Renewable Energy Policies in Korea, Renewable and Sustainable Energy Reviews, Vol. 144, 110870, 2021, https://doi.org/10.1016/j.rser.2021.110870.

10.1016/j.rser.2021.110870
2

Jee, J. B., Lee, H., Min, J. S., Chae, J. H., and Kim, S., Analysis of Radiation Energy Budget Using WISE Observation Data on the Seoul Metropolitan Area, Journal of the Korean Solar Energy Society, Vol. 37, No. 6, pp. 103-114, 2017, https://doi.org/10.7836/kses.2017.37.6.103.

10.7836/kses.2017.37.6.103
3

Lee, Y. J. and Kim, Y. S., Prediction and Accuracy Analysis of Photovoltaic Module Temperature based on Predictive Models in Summer, Journal of the Korean Solar Energy Society, Vol. 37, No. 1, pp. 25-38, 2017, https://doi.org/10.7836/kses.2017.37.1.025.

10.7836/kses.2017.37.1.025
4

Lee, B. K., Kim, W. H., and Choi, J. H., Review on Data Acquisition of Renewable Power Generators, Journal of the Korean Solar Energy Society, Vol. 40, No. 3, pp. 1-20, 2020, https://doi.org/10.7836/kses.2020.40.3.001.

10.7836/kses.2020.40.3.001
5

Lee, J. T., Kim, H. G., Kang, Y. H., Yun, C. Y., Kim, C. K., Kim, J. Y., and Kim, B. Y., Estimation of Optimal Angle for PV Panels Considering Building's Shadow in Daejeon, Journal of the Korean Solar Energy Society, Vol. 40, No. 3, pp. 43-52, 2020, https://doi.org/10.7836/kses.2020.40.3.043.

10.7836/kses.2020.40.3.043
6

Lee, H. M., Bae, S. S., Choi, M. J., Kim, D. S., and Yoon, J. H., The Assessments of Operational Performance for North-facing PV System based on Measured Data, Journal of the Korean Solar Energy Society, Vol. 42, No. 5, pp. 1-12, 2022, https://doi.org/10.7836/kses.2022.42.5.001.

10.7836/kses.2022.42.5.001
7

Lee, H. S., Kim, B. J., and Shin, U. C., Analysis of Power Generation Characteristics of a Photovoltaic System in Korea, Journal of the Korean Solar Energy Society, Vol. 39, No. 2, pp. 33-43, 2019, https://doi.org/10.7836/kses.2019.39.2.033.

10.7836/kses.2019.39.2.033
8

Gilbert, M. M., Renewable and Efficient Electric Power Systems, 2 edition, John Wiley & Sons, Canada, pp. 186-252, 2013.

9

Almaktar, M., Rahman, H. A., Hassan, M. Y., and Rahman, S., Climate-based Empirical Model for PV Module Temperature Estimation in Tropical Environment, Applied Solar Energy, Vol. 49, No. 4, pp. 192-201, 2013, https://doi.org/10.3103/S0003701X13040026.

10.3103/S0003701X13040026
10

Jee, J. B., Zo, I. S., Lee, K. T., Lee, W. H., Choi, S. J., Analysis of Photovoltaic Panel Temperature and Photovoltaic Electric Power at Chuncheon Meteorological Station using Intensive Observation Period Data, Journal of the Korean Solar Energy Society, Vol. 42, No. 2, pp. 23-34, 2022, https://doi.org/10.7836/kses.2022.42.2.023.

10.7836/kses.2022.42.2.023
11

Kim, B. Y., Alba, V. C., Kim, C. K., Kang, Y. H., Yun, C. Y., and Kim, H. G., Non-linear Regression Model Between Solar Irradiation and PV Power Generation by Using Gompertz Curve, Journal of the Korean Solar Energy Society, Vol. 39, No. 6, pp. 113-125, 2019, https://doi.org/10.7836/kses.2019.39.6.113.

10.7836/kses.2019.39.6.113
12

Wang, X. and Barnett, A., The Evolving Value of Photovoltaic Module Efficiency, Applied Sciences, Vol. 9, No. 6, 1227, 2019, https://doi.org/10.3390/app9061227.

10.3390/app9061227
Information
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 44
  • No :2
  • Pages :37-49
  • Received Date : 2024-01-31
  • Revised Date : 2024-03-07
  • Accepted Date : 2024-03-11
  • DOI :https://doi.org/10.7836/kses.2024.44.2.037
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