Abstract
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 nonlinear 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.
Original language | English |
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Title of host publication | Proceedings |
Subtitle of host publication | IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1830-1834 |
Number of pages | 5 |
ISBN (Electronic) | 9781509066841 |
DOIs | |
State | Published - 26 Dec 2018 |
Externally published | Yes |
Event | 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States Duration: 20 Oct 2018 → 23 Oct 2018 |
Publication series
Name | Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
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Conference
Conference | 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 |
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Country/Territory | United States |
City | Washington |
Period | 20/10/18 → 23/10/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Maximum power point trackers
- Partial shading conditions
- Photovoltaic system
- Reference cell