The cost of mitigating short-term PV output variability

Energy Procedia

Volumn 57, Issue , 2014, Pages 755-762

  Perez, Richard ^a   Hoff, Thomas ^b   Dise, John ^b   Chalmers, David ^b   Kivalov, Sergey ^a  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b Clean Power Research   (United States)

Author keywords

Buffer; Ramp rate; Solar resource; Storage; Variability

Indexed keywords

EID: 84922330359     PISSN: 18766102     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.egypro.2014.10.283     Document Type: Conference Paper

References (21)

1. Hinkelman L., R. George and M. Sengupta, 2011: Differences between Along-Wind and Cross-Wind Solar Variability. Proc. Solar 2011, American Solar Energy Society Conf., Raleigh, NC.
2. Hoff T., & R. Perez (2012): Modeling PV Fleet Output Variability, Solar Energy 86, 8, 2177-2189.
3. Hoff, T. E., Perez, R. 2010. "Quantifying PV power Output Variability." Solar Energy 84 (2010) 1782-1793.
4. Jamaly, S., Bosch, J., Kleissl, J. 2012. "Aggregate Ramp Rates of Distributed Photovoltaic Systems in San Diego County." IEEE Transactions on Sustainable Energy, in press.
5. Lave, M., J. Kleissl, Arias-Castro, E., High-frequency fluctuations in clear-sky index, Solar Energy, doi:10.1016/j.solener.2011.06.031, 2011.
6. Lorenz E., T. Scheidsteger, J. Hurka, D. Heinemann and C. Kurz, (2011): Regional PV power prediction for improved grid integration. Progress in Photovoltaics, 19, 7, 757-771.
7. Mills, A., Wiser, R. 2010. Implications of Wide-Area Geographic Diversity for Short-Term Variability of Solar Power. Lawrence Berkeley National Laboratory Technical Report LBNL-3884E.
8. Murata, A., H. Yamaguchi, and K. Otani (2009): A Method of Estimating the Output Fluctuation of Many Photovoltaic Power Generation Systems Dispersed in a Wide Area, Electrical Engineering in Japan, Volume 166, No. 4, pp. 9-19.
9. Perez M., and V. Fthenakis, (2012): Quantifying Long Time Scale Solar Resource Variability. Proc. WREF, Denver, CO.
10. Perez, R., T. Hoff and S. Kivalov, (2011a): Spatial & temporal characteristics of solar radiation variability. Proc. of International Solar Energy (ISES) World Congress, Kassel, Germany.
11. Perez, R., Kivalov, S., Schlemmer, J., Hemker Jr., C., Hoff, T. E. (2011b): Parameterization of site-specific short-term irradiance variability, Solar Energy 85 (2011) 1343-1353.
12. Perez, R., Kivalov, S., Schlemmer, J., Hemker Jr., C., Hoff, T. E. (2012): "Short-term irradiance variability correlation as a function of distance." Solar Energy 86, 8, pp. 2170-2176.
13. Wiemken E., H. G. Beyer, W. Heydenreich and K. Kiefer (2001): Power Characteristics of PV ensembles: Experience from the combined power productivity of 100 grid-connected systems distributed over Germany. Solar Energy 70, 513-519.
14. Woyte, A., Belmans, R., Nijs, J. (2007): Fluctuations in instantaneous clearness index. Solar Energy 81 (2), 195-206.
15. Marcos J., L. Morroyo, E. Lorenzo and M. Garcia, (2012): Smoothing of PV power fluctuations by geographical dispersion. Prog. Photovolt: Res. Appl. 2012; 20:226-237.
16. Perez, R., T. Hoff, (2013): Solar Resource Variability, in: Solar Resource Assessment & Forecasting (Ed. J. Kleissl), Elsevier, 2013.
17. Yordanov, G., O. Mitdgard, and L. Norum (2013): Overirradiance (Cloud Enhancement) Events at High Latitudes. IEEE Journal of Photovoltaics, 3, 1, 271-278.
18. Germa, J.M., & M. Perez, (2012): Energy Storage: Technology, Applications & trends. Cluster Maritime Français. 10/3/12.
19. SolarAnywhere (2013): http://www.cleanpower.com/products/solaranywhere/solaranywhere-data/.
20. NOAA Surface Radiation (SURFRAD) Network: http://www.esrl.noaa.gov/gmd/grad/surfrad/.
21. Perez R. and T. Hoff (2013): Final Report on PV Variability Mitigation. GW University Report on contract No. under contracts No. 1000178044 (in preparation).