Photovoltaic system with managed output

• US 9,257,847 B2
• Filed: 10/12/2009
• Issued: 02/09/2016
• Est. Priority Date: 10/12/2009
• Status: Active Grant

• Current Assignee: Nextracker
• Original Assignee: Sunpower Corporation (Totalenergies Se)
• Inventors: Johnson, Robert, Kimber, Adrianne, Lenox, Carl J. S., Campbell, Matt
• Primary Examiner(s): Fleming, Fritz M
• Application Number:
  US12/577,613
• Publication Number:
  US 20110084551A1
• Time in Patent Office: 2,311 Days
• Field of Search: 307/150, 136/243, 136/244, 250/200, 320/101, 706 14- 44
• US Class Current: 1/1
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02S 40/34 comprising specially adapted electrical connection means to be structurally associated with the PV module, e.g. junction boxes
• CPC Class Codes: H02S 50/00 Monitoring or testing of PV systems, e.g. load balancing or fault identification
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers

Abstract

Photovoltaic systems with managed output and methods for managing variability of output from photovoltaic systems are described. A system includes a photovoltaic module configured to receive and convert solar energy to DC power. The system also includes a sensor configured to detect a future change in solar energy to be received by the photovoltaic module. The system further includes a power conditioning unit coupled with the photovoltaic module and the sensor.

Claims

1. A photovoltaic system with managed output, the system comprising:

a photovoltaic module configured to receive and convert solar energy to DC power, the photovoltaic module integrated with an island- or micro-grid;

a sensor configured to detect a future change in solar energy to be received by the photovoltaic module, the sensor comprising a portfolio of distributed photovoltaic systems, the portfolio of distributed photovoltaic systems comprising nearby residential or commercial, or both, photovoltaic systems from a predetermined geographic area; and

a power conditioning unit coupled with the photovoltaic module and the sensor, the power conditioning unit configured to condition DC power from the photovoltaic module and to modify total power output from the power conditioning unit based on the future change in solar energy in anticipation of the future change in solar energy, wherein the power conditioning unit includes an inverter, the inverter configured to invert DC power from the photovoltaic module to AC power, the inverter also configured to modify AC power output from the inverter based on the future change in solar energy, and wherein the power conditioning unit;

decreases an efficiency of the photovoltaic module before the future change in solar energy occurs to export an amount of energy to the island- or micro-grid, the amount of energy being a maximum amount of energy the photovoltaic module is expected to be capable of generating when the future change in solar energy occurs, the amount of energy being less than the photovoltaic module is capable of generating before the future change in solar energy occurs, and

increases the efficiency of the photovoltaic module when the future change in solar energy occurs to export the same amount of energy to the island- or micro-grid.

2. The photovoltaic system of claim 1, wherein the sensor further comprises a network of insolation sensor modules arranged around the perimeter of the photovoltaic system.

3. The photovoltaic system of claim 1, wherein the sensor further comprises a network of still cameras or a combination of still and video cameras.

4. The photovoltaic system of claim 1, further comprising:

a secondary sensor coupled with the sensor, the secondary sensor selected from the group consisting of an anemometer, a wind vane, a satellite data source, and a temperature sensor.

5. The photovoltaic system of claim 1, further comprising:

a neural-network configured to compute a value for the future change in solar energy detected by the sensor.

6. A method for managing variability of output from a photovoltaic system, the method comprising:

detecting a future change in solar energy to be received by a photovoltaic module integrated with an island- or micro-grid, the detecting performed by a sensor comprising a portfolio of distributed photovoltaic systems, the portfolio of distributed photovoltaic systems comprising nearby residential or commercial, or both, photovoltaic systems from a predetermined geographic area; and

outputting total power, from the photovoltaic system, based on the future change in solar energy in anticipation of the future change in solar energy, wherein a power conditioning unit;

decreases an efficiency of the photovoltaic module before the future change in solar energy occurs to export an amount of energy to the island- or micro-grid, the amount of energy being a maximum amount of energy the photovoltaic module is expected to be capable of generating when the future change in solar energy occurs, the amount of energy being less than the photovoltaic module is capable of generating before the future change in solar energy occurs, and

increases the efficiency of the photovoltaic module when the future change in solar energy occurs to export the same amount of energy to the island- or micro-grid.

7. The method of claim 6, wherein the sensor further comprises a network of insolation sensor modules arranged around the perimeter of the photovoltaic system.

8. The method of claim 6, wherein the sensor further comprises a network of still cameras or a combination of still and video cameras.

9. The method of claim 6, wherein detecting the future change in solar energy to be received by the photovoltaic module further comprises detecting by a secondary sensor coupled with the sensor, the secondary sensor selected from the group consisting of an anemometer, a wind vane, a satellite data source, and a temperature sensor.

10. The method of claim 6, wherein detecting the future change in solar energy to be received by the photovoltaic module further comprises computing, by a neural-network, a value for the future change in solar energy.

11. A machine-accessible storage medium having instructions stored thereon, wherein the instructions are executable by a data processing system to perform:

receiving an indication of a detected future change in solar energy for a photovoltaic module of a photovoltaic system integrated with an island- or micro-grid, the detected future change in solar energy received by a sensor comprising a portfolio of distributed photovoltaic systems, the portfolio of distributed photovoltaic systems comprising nearby residential or commercial, or both, photovoltaic systems from a predetermined geographic area; and

providing to a power conditioning unit of the photovoltaic system an indication to output total power from the photovoltaic system based on the future change in solar energy in anticipation of the future change in solar energy, wherein the power conditioning unit includes an inverter, the inverter configured to invert DC power from the photovoltaic module to AC power, the inverter also configured to modify AC power output from the inverter based on the future change in solar energy, and wherein the power conditioning unit;

decreases an efficiency of the photovoltaic module before the future change in solar energy occurs to export an amount of energy to the island- or micro-grid, the amount of energy being a maximum amount of energy the photovoltaic module is expected to be capable of generating when the future change in solar energy occurs, the amount of energy being less than the photovoltaic module is capable of generating before the future change in solar energy occurs, and

increases the efficiency of the photovoltaic module when the future change in solar energy occurs to export the same amount of energy to the island- or micro-grid.

12. The machine-accessible storage medium of claim 11, wherein the sensor further comprises a network of insolation sensor modules arranged around the perimeter of the photovoltaic system.

13. The machine-accessible storage medium of claim 11, wherein the sensor further comprises a network of still cameras or a combination of still and video cameras.

14. The machine-accessible storage medium of claim 11, wherein detecting the future change in solar energy to be received by the photovoltaic module further comprises detecting by a secondary sensor coupled with the sensor, the secondary sensor selected from the group consisting of an anemometer, a wind vane, a satellite data source, and a temperature sensor.

15. The machine-accessible storage medium of claim 11, wherein detecting the future change in solar energy to be received by the photovoltaic module further comprises computing, by a neural-network, a value for the future change in solar energy.