Monitoring of distributed power harvesting systems using DC power sources
A system includes a central analysis station and a display. The central analysis station may be configured to receive a unique identifier and performance data from each of a plurality of solar panels. The central analysis station may detect a problem in at least one of the plurality of solar panels based on the performance data. A display may be configured to display a status of the at least one of the plurality of solar panels based on the detected problem.
1. A method comprising:
receiving, by a central analysis station, data at random intervals from a plurality of solar panels via a communication link common to the plurality of solar panels, wherein the data received from the plurality of solar panels comprises:
a unique identifier of each solar panel of the plurality of solar panels, and
performance data of each solar panel of the plurality of solar panels;
detecting, by the central analysis station and based on the performance data, a problem in one of the plurality of solar panels; and
displaying, on a display and based on the detected problem, a status of the one of the plurality of solar panels.
2. The method of claim 1 , wherein the communication link is associated with at least one of a wired communication protocol or a wireless communication protocol.
3. The method of claim 1 , further comprising determining, by the central analysis station, if the one of the plurality of solar panels is faulty.
4. The method of claim 1 , further comprising comparing, by the central analysis station, measured power to expected power for each of the plurality of solar panels.
5. The method of claim 1 , wherein the performance data, which is received for each solar panel of the plurality of solar panels, includes an accumulated total performance value of the performance data since each solar panel of the plurality of solar panels woke.
6. The method of claim 1 , further comprising reconstructing, by the central analysis station, missing performance data by extrapolating the performance data.
7. The method of claim 1 , further comprising:
generating, by the central analysis station and based on the performance data, curves of power production;
extrapolating the curves of power production for each solar panel of the plurality of solar panels; and
detecting a power anomaly based on the extrapolated curves.
8. The method of claim 1 , wherein each of the plurality of solar panels has a respective monitoring module associated therewith.
9. The method of claim 8 , further comprising monitoring, by the respective monitoring module, at least one of a current or a voltage of a corresponding solar panel of the plurality of solar panels.
10. The method of claim 8 , further comprising monitoring, by the respective monitoring module, a temperature of a corresponding solar panel of the plurality of solar panels.
11. The method claim 8 , further comprising monitoring, by the respective monitoring module, solar irradiance data of a corresponding solar panel of the plurality of solar panels.
12. The method of claim 8 , further comprising monitoring, by the respective monitoring module, ambient spatial orientation data of a corresponding solar panel of the plurality of solar panels.
13. A system comprising:
a central analysis station comprising a computer storing analysis software that, when executed by the computer, causes the central analysis station to:
receive data, at random intervals, from a plurality of solar panels via a communication link common to the plurality of solar panels, wherein the data received from each solar panel of the plurality of solar panels comprises:
a unique identifier of each solar panel of the plurality of solar panels, and
performance data of each solar panel of the plurality of solar panels; and
detect, based on the performance data, a problem in one of the plurality of solar panels; and
a display configured to display, based on the detected problem, a status of the one of the plurality of solar panels.
14. The system of claim 13 , wherein the analysis software, when executed by the computer, further causes the central analysis station to determine if the one of the plurality of solar panels is faulty.
15. The system of claim 13 , wherein the analysis software, when executed by the computer, further causes the central analysis station to compare measured power to expected power for each of the plurality of solar panels.
16. The central analysis station of claim 13 , wherein the performance data, which is received for each solar panel of the plurality of solar panels, includes an accumulated total performance value of the performance data since each solar panel of the plurality of solar panels woke.
17. The system of claim 13 , wherein the analysis software, when executed by the computer, further causes the central analysis station to reconstruct missing performance data by extrapolating the performance data.
18. The system of claim 13 , wherein the analysis software, when executed by the computer, further causes the central analysis station to:
generate, based on the performance data, curves of power production, extrapolating the curves of power production for each solar panel of the plurality of solar panels; and
detect a power anomaly based on the extrapolated curves.
19. The central analysis station of claim 13 , wherein each of the plurality of solar panels has a respective monitoring module associated therewith.
20. The central analysis station of claim 19 , wherein the respective monitoring module is configured to monitor at least one of:
a current of a corresponding solar panel of the plurality of solar panels;
a voltage of the corresponding solar panel;
a temperature of the corresponding solar panel;
solar irradiance data of the corresponding solar panel; and
ambient spatial orientation data of the corresponding solar panel.