Local and regional photovoltaic power prediction for large scale grid integration: Assessment of a new algorithm for snow detection

Progress in Photovoltaics: Research and Applications

Volumn 20, Issue 6, 2012, Pages 760-769

  Lorenz, Elke ^a   Heinemann, Detlev ^a   Kurz, Christian ^b  

^a UNIVERSITY OF OLDENBURG   (Germany)

^b Meteocontrol GmbH   (Germany)

Author keywords

grid integration; irradiance prediction; PV power prediction; PV simulation

Indexed keywords

CONTROL AREA; ELECTRICITY SUPPLY; EMPIRICAL APPROACH; ENERGY MARKETS; EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; FORECAST INFORMATION; GLOBAL MODELS; GRID INTEGRATION; GRID MANAGEMENT; LARGE SCALE GRIDS; LOCAL SCALE; OPERATIONAL FORECASTS; PHOTOVOLTAIC; PHOTOVOLTAIC POWER; PHYSICAL MODELLING; POWER FORECAST; POWER PREDICTIONS; POWER PRODUCTION; PV SIMULATION; ROOT MEAN SQUARE ERRORS; SMART GRID; SNOW COVERS; SOLAR IRRADIANCES; TRANSMISSION SYSTEM OPERATORS;

ALGORITHMS; ELECTRIC POWER TRANSMISSION NETWORKS; MEAN SQUARE ERROR; WEATHER FORECASTING;

SNOW;

EID: 84865624003     PISSN: 10627995     EISSN: 1099159X     Source Type: Journal    
DOI: 10.1002/pip.1224     Document Type: Conference Paper

References (11)

1. Böhme D, Dürrschmidt W, Van Mark M,. Renewable Energy Sources in Figure-National and International Development. Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU)-Public Relations Division; Berlin, 2011; 7.
2. Lorenz E, Scheidsteger T, Hurka J, Heinemann D, Kurz C,. Regional PV power prediction for improved grid integration. Progress in Photovoltaics: Research and Applications 2010; n/a. doi: 10.1002/pip.1033
3. Perez R, Beauharnois M, Hemker K, Kivalov S, Lorenz E, Pelland S, Schlemmer J, Van Knowe G,. Evaluation of Numerical Weather Prediction Solar Irradiance Forecasts in the US. Proc. ASES Ann. Conf., Raleigh, NC, 2011.
4. Mathiesen P, Kleissl J,. Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States. Solar Energy 2001; 85 (5): 967-977.
5. Lara-Fanego V, Ruiz-Arias JA, Pozo-Vázquez D, Santos-Alamillos FJ, Tovar-Pescador J,. Evaluation of the WRF model solar irradiance forecasts in Andalusia (southern Spain). Solar Energy 2011, in print. doi: 10.1016/j.solener.2011.02.014
6. Morcrette JJ, Barker HW, Cole JNS, Iacono MJ, Pincus R,. Impact of a new radiation package, McRad, in the ECMWF integrated forecasting system. Monthly Weather Review 2008; 136 (12): 4773-4798.
7. Dumortier D,. The Satellight model of turbidity variations in Europe. Technical Report, 1998.
8. Perez R, Seals R, Ineichen P, Stewart R, Menicucci D,. A new simplified version of the Perez diffuse irradiance model for tilted surfaces. Solar Energy 1987; 39: 221-231. (Pubitemid 17659675)
9. Beyer HG, Betcke J, Drews A, Heinemann D, Lorenz E, Heilscher G, Bofinger S,. Identification of a General Model for the MPP Performance of PV Modules for the Application in a Procedure for the Performance Check of Grid Connected Systems. Proceedings of 19th European Photovoltaic Solar Energy Conference and Exhibition, Paris, France, 2004.
10. Lorenz E, Hurka J, Heinemann D, Beyer HG,. Irradiance forecasting for the power prediction of grid-connected photovoltaic systems. IEEE Journal of Special Topics in Earth Observations and Remote Sensing 2009; 2 (1): 2-10.
11. Lorenz E, Hurka J, Karampela G, Heinemann D, Beyer HG, Schneider M,. Qualified forecast of ensemble power production by spatially dispersed grid-connected PV systems. Proceedings of 23 rd European Photovoltaic Solar Energy Conference, Valencia, Spain, 2008.