3차원 기상 수치 모델을 이용한 분산형 전원의 출력 예측
A Three-dimensional Numerical Weather Model using Power Output Predict of Distributed Power Source
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초록
최근 스마트 그리드와 관련된 프로젝트가 선진국을 중심으로 활발하게 연구되고 있다. 특히, 전력 문제의 장기적 안정 대책으로 분산전원이 주목받고 있다. 본 논문에서는 분산형 전원의 출력 예측을 위해서 물리모델과 통계모델을 조합하여 예측 정보 오차율을 비교분석할 수 있는 3차원 기상 수치 모델을 제안한다. 제안 모델은 분산형 전원의 예측정보를 향상시킬 수 있어 안정적인 전력계통 연계를 위한 예측시스템을 가능하다. 성능평가 결과, 제안 모델은 발전량 예측 정확도가 4.6% 개선되었고, 온도보정 예측 정확도는 3.5% 향상되었다. 마지막으로 일사량 보정 정확도는 1.1% 향상되었다.
Abstract
Recently, the project related to the smart grid are being actively studied around the developed world. In particular, the long-term stabilization measures distributed power supply problem has been highlighted. In this paper, we propose a three-dimensional numerical weather prediction models to compare the error rate information which combined with the physical models and statistical models to predict the output of distributed power. Proposed model can predict the system for a stable power grid-can improve the prediction information of the distributed power. In performance evaluation, proposed model was a generation forecasting accuracy improved by 4.6%, temperature compensated prediction accuracy was improved by 3.5%. Finally, the solar radiation correction accuracy is improved by 1.1%.
참고문헌 (23)
- I. Martí, "Evaluation of Advanced Wind Power Forecasting Models–The Results of the Anemos Project", Proceedings of the European Wind Energy Conference 2006, pp.1~9 (2006)
- I. Waldl, "The ANEMOS Wind Power Forecasting Platform", Proceedings of the European Wind Energy Conference 2006, pp.1~4 (2006)
- J. Tambke, "Advanced Forecast Systems for the Grid Integration of 25GW Offshore Wind Power in Germany", Proceedings of the Scientific Track of the European Wind Energy Conference, pp.1~11 (2006)
- X. Peng, "A very short term wind power forecasting approach based on numerical weather prediction and error correction method", Proceedings of the 2016 China International Conference on Electricity Distribution(CICED), pp.1~4 (2006)
- S. Z. Wang, "A multi-timescale wind power forecasting method based on selection of similar days", Proceedings of the 2016China International Conference on Electricity Distribution(CICED), pp.1~5 (2006)
- Q. Wang, "Quantifying the Economic and Grid Reliability Impacts of Improved Wind Power Forecasting", IEEE Transactions on Sustainable Energy, 7(4), pp.1525~1537 (2016)
- P. Pinson, "On-line Assessment of Prediction Risk for Wind Power Production Forecasts", Wind Energy Journal, 7, pp.119~132 (2004)
- A. Couto, "Wind power participation in electricity markets — The role of wind power forecastsg", Proceedings of the 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), pp.1~6 (2016)
- S. E. Haupt, "Big Data and Machine Learning for Applied Weather Forecasts: Forecasting Solar Power for Utility Operations", Proceedings of the 2015 IEEE Symposium Series on Computational Intelligence, pp.496~501 (2015)
- M. Abuella, "Solar power forecasting using artificial neural networks", Proceedings of the 2015 North American Power Symposium (NAPS), pp.1~5 (2005)
- M. Rana, "Forecasting solar power generated by grid connected PV systems using ensembles of neural networks", Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN), pp.1~8 (2015)
- A. Laouafi, "One-hour ahead electric load and wind-solar power generation forecasting using artificial neural network", Proceedings of the 2015 6th International 2015 6th International, pp.1~6 (2015)
- C. Poolla, "Neural network forecasting of solar power for NASA Ames sustainability base", Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG), pp.1~8 (2014)
- V. P. Singh, "Generalized neural network methodology for short term solar power forecasting", Proceedings of the Generalized neural network methodology for short term solar power forecasting 2013 13th International Conference on Environment and Electrical Engineering (EEEIC), pp.58~62 (2013)
- Y. S. Jeong, "A User Privacy Protection Scheme based on Password through User Information Virtuality in Cloud Computing", Journal of Convergence Soceity for SMB, 1(1), pp.29~37 (2011)
- Y. S. Jeong, "Design of Security Model for Service of Company Information", Journal of Convergence Soceity for SMB, 2(2), pp.43~49 (2012)
- Y. S. Jeong, "Design of Security Service Model in Dynamic Cloud Environment", Journal of Convergence Soceity for SMB, 2(2), pp.35~41 (2012)
- S. S. Shin, "An Investigation of Social Commerce Service Quality on Consumer's Satisfaction", Journal of Convergence Soceity for SMB, 5(2), pp.27~32 (2015)
- S. S. Shin, "A Study of Analysis and Response and Plan for National and International Security Practices using Fin-Tech Technologies", Journal of Convergence Soceity for SMB, 5(3), pp.1~7 (2015)
- Y. S. Jeong, "Business Process Model for Efficient SMB using Big Data", Journal of Convergence Soceity for SMB, 5(4), pp.11~16 (2015)
- 정윤수, "클라우드 컴퓨팅 환경을 위한 환자 질병 정보의 효율적인 클러스터링 처리 방안에 대한 연구", 융합정보논문지, 6(1), pp.33~38 (2016), 중소기업융합학회[DOI]
- 정윤수, "기업 정보화 역기능에 따른 피해를 최소화하기 위한 기업 정보 처리 모델 설계", 융합정보논문지, 6(2), pp.11~17 (2016), 중소기업융합학회[DOI]