Smoothing of PV power fluctuations by geographical dispersion

Progress in Photovoltaics: Research and Applications

Volumn 20, Issue 2, 2012, Pages 226-237

  Marcos, Javier ^a   Marroyo, Luis ^a   Lorenzo, Eduardo ^b   García, Miguel ^a  

^a PUBLIC UNIVERSITY OF NAVARRE   (Spain)

^b INSTITUTO DE ENERGÍA SOLAR   (Spain)

Author keywords

analytical model; convolution; grid connected; large PV plants; power fluctuations

Indexed keywords

ANALYTICAL MODEL; EMPIRICAL EXPRESSION; FLUCTUATION FREQUENCY; FREQUENCY DISTRIBUTIONS; GEOGRAPHICAL DISPERSIONS; GRID-CONNECTED; MAXIMUM OUTPUT; POWER FLUCTUATIONS; PV PLANTS; PV SYSTEM; SOURCE CHARACTERISTICS;

CONVOLUTION; PHOTOVOLTAIC EFFECTS;

DISPERSIONS;

EID: 84857456449     PISSN: 10627995     EISSN: 1099159X     Source Type: Journal    
DOI: 10.1002/pip.1127     Document Type: Article

References (9)

1. Marcos J, Marroyo L, Lorenzo E, Alvira D, Izco E,. Power output fluctuations in large scale PV plants: one year observations with one second resolution and a derived analytic model. Progress in Photovoltaics: Research and Applications 2011; 19 (2): 218-227.
2. Otani K, Minowa J, Kurokawa K,. Study on a real solar irradiance for analyzing areally-totalized PV systems. Solar Energy Materials and Solar Cells 1997; 47: 281-288. (Pubitemid 127395697)
3. Murata A, Yamaguchi H, Otani K,. " A method of estimating the output fluctuation of many photovoltaic power generation systems dispersed in a wide area." Electrical Engineering in Japan 2009; 166 (4): 9-19.
4. Hoff TE, Perez R,. Quantifying PV power output variability. Solar Energy 2010; 84: 1782-1793.
5. Wiemken E, Beyer HG, Heydenreich W, Kiefer K,. Power characteristics of PV ensembles: experiences from the combined power production of 100 grid connected PV systems distributed over the area of Germany. Solar Energy 2001; 70 (6): 513-518.
6. Murata A, Otani K,. An analysis of time-dependent spatial distribution of output power from very many PV power systems installed on a nationwide scale in Japan. Solar Energy Materials and Solar Cells 1997; 47: 197-202. (Pubitemid 127395688)
7. Papoulis A,. Probability, Random Variables, and Stochastic Processes. Solutions to the Problems in Probability, Random Variables and Stochastic Processes 9th ed. McGraw-Hill Kogakusha: Tokyo, 1965. ISBN 0-07-119981-0.
8. Red Eléctrica de España. Balance del Sistema Eléctrico Canario 2009. 27th July 2010,.
9. Rahman S,. A model to determine the degree of penetration and energy cost of large scale utility interactive photovoltaic systems. IEEE Transactions on Energy Conversion 1994; 9 (2): 224-230.