Location optimization for an autonomous power generation unit

Patent metadata

Field	Value
Publication number	US-12506337-B2
Application number	US-202318232702-A
Country	US
Kind code	B2
Filing date	Aug 10, 2023
Priority date	Aug 10, 2023
Publication date	Dec 23, 2025
Grant date	Dec 23, 2025

Abstract

An embodiment selects, from a set of candidate locations within a power generation site, a first power generation location. An embodiment causes generation of electricity, by a first power generation unit, at the first power generation location. An embodiment forecasts, during the generation of electricity, a future power generation status of the first power generation unit at the first power generation location. An embodiment causes relocating, responsive to the future power generation status, of the first power generation unit to a second power generation location, the relocating altering the future power generation status.

First claim

What is claimed is:

1 . A computer-implemented method comprising:
configuring a first power generation unit to receive a command for autonomous locomotion from an application executing in a data processing system; sending, from the application, the command to autonomously locomote and situate the power generation unit at a first power generation location from a set of candidate locations within a power generation site; forecasting, during power generation by the power generation unit, at the first power generation location, by factoring within the forecasting a configuration of a blockage cast by a ground-based blockage-casting element at a second power generation location at a future time, a future power generation status of the first power generation unit at the future time at the first power generation location, wherein the blockage comprises at least one of a shadow from light and a blockage from wind; selecting, responsive to the forecasting, a second power generation location; and commanding from the application, the power generation unit to initiate locomotion from the first power generation location to the second power generation location, the commanding causing an autonomous relocating of the power generation unit to the second power generation location by minimizing an energy cost of the relocating using an equipment specification of the power generation unit, the relocating altering the future power generation status.

2 . The computer-implemented method of claim 1 , further comprising:
selecting the power generation site.

3 . The computer-implemented method of claim 1 , further comprising:
selecting the power generation unit according to a characteristic of the power generation site.

4 . The computer-implemented method of claim 1 , further comprising:
evaluating, responsive to the future power generation status, a cost function.

5 . The computer-implemented method of claim 4 , further comprising:
adjusting, using a machine learning model, a weight of a term in the cost function.

6 . The computer-implemented method of claim 5 , wherein the weight is adjusted using an effect of a past meteorological condition on power generation at the set of candidate locations.

7 . The computer-implemented method of claim 5 , wherein the weight is adjusted using a result of a past relocation of the power generation unit.

8 . A computer program product comprising one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable by a processor to cause the processor to perform operations, the operations comprising:
configuring a power generation unit to receive a command for autonomous locomotion from an application executing in a data processing system; sending, from the application, the command to autonomously locomote and situate the power generation unit at a first power generation location from a set of candidate locations within a power generation site; forecasting, during power generation by the power generation unit, at the first power generation location, by factoring within the forecasting a configuration of a blockage cast by a ground-based blockage-casting element at a second power generation location at a future time, a future power generation status of the power generation unit at the future time at the first power generation location, wherein the blockage comprises at least one of a shadow from light and a blockage from wind; selecting, responsive to the forecasting, a second power generation location; and commanding from the application, the power generation unit to initiate locomotion from the first power generation location to the second power generation location, the commanding causing an autonomous relocating of the power generation unit to the second power generation location by minimizing an energy cost of the relocating using an equipment specification of the power generation unit, the relocating altering the future power generation status.

9 . The computer program product of claim 8 , wherein the stored program instructions are stored in a computer readable storage device in a data processing system, and wherein the stored program instructions are transferred over a network from a remote data processing system.

10 . The computer program product of claim 8 , wherein the stored program instructions are stored in a computer readable storage device in a server data processing system, and wherein the stored program instructions are downloaded in response to a request over a network to a remote data processing system for use in a computer readable storage device associated with the remote data processing system, the operations further comprising:
metering a use of the program instructions associated with the request; and generating an invoice based on the use.

11 . The computer program product of claim 8 , the operations further comprising:
selecting the power generation site.

12 . The computer program product of claim 8 , the operations further comprising:
selecting the power generation unit according to a characteristic of the power generation site.

13 . The computer program product of claim 8 , the operations further comprising:
evaluating, responsive to the future power generation status, a cost function.

14 . The computer program product of claim 13 , the operations further comprising:
adjusting, using a machine learning model, a weight of a term in the cost function.

15 . The computer program product of claim 14 , wherein the weight is adjusted using an effect of a past meteorological condition on power generation at the set of candidate locations.

16 . The computer program product of claim 14 , wherein the weight is adjusted using a result of a past relocation of the power generation unit.

17 . A computer system comprising a processor and one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable by the processor to cause the processor to perform operations, the operations comprising:
configuring a power generation unit to receive a command for autonomous locomotion from an application executing in a data processing system; sending, from the application, the command to autonomously locomote and situate the power generation unit at a first power generation location from a set of candidate locations within a power generation site; forecasting, during power generation by the power generation unit, at the first power generation location, by factoring within the forecasting a configuration of a blockage cast by a ground-based blockage-casting element at a second power generation location at a future time, a future power generation status of the first power generation unit at the future time at the first power generation location, wherein the blockage comprises at least one of a shadow from light and a blockage from wind; selecting, responsive to the forecasting, a second power generation location; and commanding from the application, the power generation unit to initiate locomotion from the first power generation location to the second power generation location, the commanding causing an autonomous relocating of the power generation unit to the second power generation location by minimizing an energy cost of the relocating using an equipment specification of the power generation unit, the relocating altering the future power generation status.

18 . The

Assignees

• IBM

Inventors

• Rakshit Sarbajit K
• Hazra Jagabondhu
• Padmanaban Manikandan

Classifications

• H02J2103/30

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• G05D3/105

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• H02S20/32

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• H02S10/40

  Mobile PV generator systems · CPC title

• B64U10/00

  Type of UAV · CPC title