SYSTEMS AND METHODS FOR FORECASTING ELECTRICAL LOAD

• US 20120253532A1
• Filed: 03/30/2011
• Published: 10/04/2012
• Est. Priority Date: 03/30/2011
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: McMullin, Dale Robert, Caird, Kenneth James
• Application Number:
  US13/075,618
• Publication Number:
  US 20120253532A1
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

Systems and methods for forecasting electrical load are provided. A baseline load forecast for a future time period may be determined by a forecasting system associated with a power utility. As desired, the forecasting system may include one or more computers. Information associated with at least one of (i) a scheduled demand for the future time period or (ii) a planned outage associated with the future time period may be determined by the forecasting system. Based at least in part on the determined information, the forecasting system may modify the baseline load forecast. Based at least in part on the modified baseline load forecast, the forecasting system may generate a bid contract for the future time period.

Claims

1. A method comprising:

determining, by a forecasting system associated with a power utility and comprising one or more computers, a baseline load forecast for a future time period;

determining, by the forecasting system, information associated with at least one of (i) a scheduled demand for the future time period or (ii) a planned outage associated with the future time period;

modifying, by the forecasting system based at least in part on the determined information, the baseline load forecast; and

generating, by the forecasting system based at least in part on the modified baseline load forecast, a bid contract for the future time period.

2. The method of claim 1, further comprising:

determining, by the forecasting system, a renewable resource availability for the future time period,

wherein modifying the baseline load forecast comprises modifying the baseline load forecast based at least in part on the determined renewable resource availability.

3. The method of claim 2, wherein determining a renewable resource availability comprises:

identifying, by the forecasting system, at least one renewable resource associated with the power utility;

obtaining, by the forecasting system, weather forecast data for the future time period; and

determining, by the forecasting system based at least in part on the weather forecast data, an expected output of the at least one renewable resource.

4. The method of claim 2, wherein determining a renewable resource availability comprises:

identifying, by the forecasting system, one or more renewable resources associated with one or more customers of the power utility; and

determining, by the forecasting system, a potential impact of the one or more renewable resources on one or more load conditions for the future time period.

5. The method of claim 4, wherein determining a potential impact of the one or more renewable resources on one or more load conditions comprises determining at least one of (i) an estimated output of the one or more renewable resources that will be supplied to a power distribution network during the future time period or (ii) an estimated output of the one or more renewable resources that will be consumed by the one or more customers during the future time period.

6. The method of claim 1, wherein determining a baseline load forecast for a future time period comprises determining a baseline load forecast for a subsequent day.

7. The method of claim 1, wherein determining a baseline load forecast comprises:

determining, by the forecasting system, a degree day associated with the future time period;

obtaining, by the forecasting system, historical load data;

identifying, by the forecasting system based at least in part upon the historical load data, a load associated with a historical degree day similar to the determined degree day; and

multiplying, by the forecasting system, the identified historical load by a load growth factor to determine the baseline load forecast.

8. The method of claim 1, wherein determining information associated with a scheduled demand comprises:

obtaining, by the forecasting system for the future time period, scheduled electrical load data for one or more customers of the power utility; and

calculating, by the forecasting system based at least in part upon the obtained data, the scheduled demand.

9. The method of claim 8, further comprising:

directing, by the forecasting system, the communication of a respective request for scheduled electrical load data to a respective device associated with each of the one or more customers,

wherein obtaining scheduled electrical load data comprises receiving the scheduled electrical load data in response to the one or more communicated requests.

10. The method of claim 1, wherein determining information associated with a planned outage comprises:

identifying, by the forecasting system, a planned outage for the future time period;

determining, by the forecasting system, a switching schedule associated with the identified planned outage; and

determining, by the forecasting system, an impact of the planned outage and the switching schedule on one or more load conditions for the future time period.

11. A system, comprising:

at least one memory configured to store computer-executable instructions; and

at least one processor configured to access the at least one memory and execute the computer-executable instructions to;

determine, for a power utility, a baseline load forecast for a future time period;

determine information associated with at least one of (i) a scheduled demand for the future time period or (ii) a planned outage associated with the future time period;

modify, based at least in part on the determined information, the baseline load forecast; and

generate, based at least in part on the modified baseline load forecast, a bid contract for the future time period.

12. The system of claim 11, wherein the at least one processor is further configured to execute the computer-executable instructions to:

determine a renewable resource availability for the future time period; and

modify the baseline load forecast based at least in part on the determined renewable resource availability.

13. The system of claim 12, wherein the at least one processor is configured to determine the renewable resource availability by executing the computer-executable instructions to:

identify at least one renewable resource associated with the power utility;

obtain weather forecast data for the future time period; and

determine, based at least in part on the weather forecast data, an expected output of the at least one renewable resource.

14. The system of claim 12, wherein the at least one processor is configured to determine the renewable resource availability by executing the computer-executable instructions to:

identify one or more renewable resources associated with one or more customers of the power utility; and

determine a potential impact of the one or more renewable resources on one or more load conditions for the future time period.

15. The system of claim 14, wherein the determined potential impact comprises at least one of (i) an estimated output of the one or more renewable resources that will be supplied to a power distribution network during the future time period or (ii) an estimated output of the one or more renewable resources that will be consumed by the one or more customers during the future time period.

16. The system of claim 11, wherein the future time period comprises a subsequent day.

17. The system of claim 11, wherein the at least one processor is configured to determine the baseline load forecast by executing the computer-executable instructions ’

to;

determine a degree day associated with the future time period;

obtain historical load data;

identify, based at least in part upon the historical load data, a load associated with a historical degree day similar to the determined degree day; and

multiply the identified historical load by a load growth factor to determine the baseline load forecast.

18. The system of claim 11, wherein the at least one processor is configured to determine information associated with the scheduled demand by executing the computer-executable instructions to:

obtain, for the future time period, scheduled electrical load data for one or more customers of the power utility; and

calculate, based at least in part upon the obtained data, the scheduled demand.

19. The system of claim 18, wherein the at least one processor is further configured to execute the computer-executable instructions to:

direct the communication of a respective request for scheduled electrical load data to a respective device associated with each of the one or more customers; and

obtain the scheduled electrical load data in response to the one or more communicated requests.

20. The system of claim 11, wherein the at least one processor is configured to determine information associated with the planned power outage by executing the computer-executable instructions to:

identify a planned outage for the future time period;

determine a switching schedule associated with the identified planned outage; and

determine an impact of the planned outage and the switching schedule on one or more load conditions for the future time period.