Abstract | ||
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This paper proposes an algorithm capable of estimate the global maximum power point of a large photovoltaic (PV) array system operating under partially shaded conditions. The power-voltage characteristic of a photovoltaic array is a non-linear function that becomes more complex under partial shading conditions, in fact, the power-voltage curve may exhibit multiple local maximum power points. The proposed algorithm uses two PV reference cells, every 900 m(2), one operating in open-circuit and the other one in short-circuit, to estimate the solar radiation and the ambient temperature conditions of the PV arrays. The results show an estimation error of the ambient conditions lower than 1% of the actual values. As a result, the arrays provide the maximum power possible for any distribution of irradiance and temperature conditions. |
Year | DOI | Venue |
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2018 | 10.1109/IECON.2018.8591320 | IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY |
Keywords | Field | DocType |
maximum power point trackers, photovoltaic system, reference cell, partial shading conditions | Nonlinear system,Control theory,Maximum power point tracking,Irradiance,Engineering,Maximum power principle,Temperature measurement,Photovoltaic system,Radiation,Shading | Conference |
ISSN | Citations | PageRank |
1553-572X | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Silva, J. | 1 | 5 | 2.90 |
José R. Espinoza | 2 | 508 | 69.98 |
Torres, M. | 3 | 7 | 1.86 |
Rohten, J. | 4 | 22 | 6.31 |
Carlos R. Baier | 5 | 45 | 9.77 |
Javier A. Muñoz | 6 | 62 | 14.45 |