An Approach for Data Treatment of Solar Photovoltaic Generation

Authors

  • José Francisco Pessanha CEPEL
  • Albert Melo Brazilian Electric Energy Research Center (Cepel) and Rio de Janeiro State University (Uerj)
  • Roberto Caldas Rio de Janeiro Federal University
  • Djalma Falcão Federal University of Rio de Janeiro https://orcid.org/0000-0001-5137-5599

Keywords:

data cleaning, self-organizing maps, Solar power generation, statistical analysis, time series analysis

Abstract

A good solar power photovoltaic generation forecast depends on good quality time series data from measurements of Global Horizontal Irradiance and Solar Power Generation. However, measurement system failures and errors in data handling can corrupt data records with gaps and outliers that undermine forecasting accuracy. Therefore, it is important that the fitting of solar energy prediction models must be preceded by a data analysis in order to detect and correct measurement errors. Given that Global Horizontal Irradiance and Solar Power Generation are correlated variables, this paper aims to present the main characteristics of an offline approach developed for the joint treatment of hourly data values of both variables in a photovoltaic plant. In the proposed methodology, the measurements of Global Horizontal Irradiance and Solar Power Generation are analyzed by using reanalysis data and statistical and data mining techniques for the correction of outliers and the filling of data gaps. The application of the approach is illustrated by the analysis of measurements from a real solar PV system.

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Author Biographies

José Francisco Pessanha, CEPEL

José Francisco Moreira Pessanha received his DSc from Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and his MSc from Rio de Janeiro Federal University (UFRJ), both in Electrical Engineering. He has a BSc in Electrical Engineering from Rio de Janeiro State University (UERJ) and a BSc in Statistics from National School of Statistical Science (ENCE). Dr. Pessanha is researcher at the Brazilian Electric Power Research Center (Cepel) and Professor in the Statistics Department at UERJ. Recently, Dr. Pessanha carried out a post-doc study on wind power probabilistic forecasting at Inesc Tec, Porto, Portugal. His research interest includes data science, operational research, econometrics and multivariate statistical methods.

Albert Melo, Brazilian Electric Energy Research Center (Cepel) and Rio de Janeiro State University (Uerj)

Albert C. G. Melo received the B.Sc. degree from Federal University of Pernambuco, and MSc. and DSc. (PhD.) degrees from Catholic University of Rio de Janeiro (PUC/RJ), all in Electrical Engineering. He has has been working in the coordination and development of methodologies and software in the areas of power system reliability and security; generation, transmission and new renewables expansion; operational planning; stochastic optimization; financial and risk evaluation; sustainable development and energy policy. He was a former chairman of the New Renewables Technical Committee of the Brazilian National Energy Policy Council and a member of the Working Groups for the two last institucional reforms of the Brazilian electrical sector. More recently he had been involved in the U.S.-Brazil Strategic Energy Dialogue, the Sustanable Development of Hydropower Initiave at Clean Energy Ministerial; technical relationship with the International Energy Agency; and in the United Nations Sustainable Energy for All Initiave. Since 1985 he has been with CEPEL, the Brazilian Electrical Energy Research Center, where he held several manangerial positions including head of department, director of RD (Jan 2005 - Jul 2008), and Director-General and CEO (Aug 2008 - Jan 2017), currently occupying the position of senior researcher. Since 1998 he has also been with Rio de Janeiro State University - UERJ, currently occupying the position of Adjunct Professor. He is also Senior Member of IEEE, Distinguish Member of CIGRÉ and Full Member of the Brazilian National Academy of Engineering.

Roberto Caldas, Rio de Janeiro Federal University

Roberto Pereira Caldas is an Electronics Engineer from Aeronautics Institute of Technology (1978), Master (1990) and PhD student in Electrical Engineering from the Federal University of Rio de Janeiro (2018). At the Electric Energy Research Center - CEPEL, he served as a researcher (1983-2017), and Director of Research, Development and Innovation (2008-2016). Worked in the area of Electronic Engineering applied to Electric Energy, aimed at the industrialization of devices, equipment and systems for measuring electricity; and, more recently, to the introduction of smart grids (Smart Grid) and new renewable energies.

Djalma Falcão, Federal University of Rio de Janeiro

Djalma Mosquera Falcão received the B.Sc. degree from Electrical Engineering by the University Federal of Paraná (1971), Master's degree in Electrical Engineering by COPPE/Federal University of Rio de Janeiro (1973), PhD in Electrical Engineering by the University of Manchester Institute of Science and Technology, United Kingdom (1981) and postdoctoral fellow at the University of California at Berkeley, USA (1993). He is currently a full professor at COPPE/Federal University of Rio de Janeiro and full member of the Brazilian National Academy of Engineering.

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Published

2021-03-13

How to Cite

Pessanha, J. F., Melo, A., Caldas, R., & Falcão, D. (2021). An Approach for Data Treatment of Solar Photovoltaic Generation. IEEE Latin America Transactions, 18(9), 1563–1571. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/2648

Issue

Vol. 18 No. 9 (2020): Ordinary Issue

Section

Articles