Method and system for managing a load demand on an electrical grid

• US 8,068,938 B2
• Filed: 05/15/2009
• Issued: 11/29/2011
• Est. Priority Date: 05/15/2009
• Status: Active Grant

• Current Assignee: GE Digital Holdings LLC (GE Aerospace)
• Original Assignee: General Electric Company
• Inventors: Fujita, Lincoln Mamoru
• Primary Examiner(s): PATEL, RAMESH B
• Application Number:
  US12/466,648
• Publication Number:
  US 20100292856A1
• Time in Patent Office: 928 Days
• Field of Search: 700/286, 700/291, 700/295, 700/297, 702 60- 61
• US Class Current: 700/295
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02P 90/80 Management or planning
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

A method for managing electrical demand on a power grid in response to electrical supply conditions is described. The method includes determining a first energy demand forecast using stored information, determining a first energy supply forecast based on a known energy production and transmission capacity, and comparing the first energy demand forecast to the first energy supply forecast. The method also includes transmitting at least one of an adjusted price signal and an electrical load shedding signal to a customer over a bi-directional communication system based on the comparison of the first energy demand forecast to the first energy supply forecast.

Claims

1. A method for managing electrical demand on a power grid in response to electrical supply conditions, the method comprising:

determining a first energy demand forecast using stored information, wherein the first energy demand forecast includes a predicted energy usage over a predetermined time period;

determining a first energy supply forecast using at least a secure unit commitment module and a generation capacity forecast module, wherein the first energy supply forecast includes a predicted energy supply over the predetermined time period;

comparing the first energy demand forecast to the first energy supply forecast; and

transmitting at least one of an adjusted price signal and an electrical load shedding signal to a customer over a bi-directional communication system based on the comparison of the first energy demand forecast to the first energy supply forecast.

2. A method in accordance with claim 1 further comprising calculating an adjusted price to be transmitted based at least partially on the comparison of the first energy demand forecast to the first energy supply forecast, wherein the adjusted price signal notifies the customer of a price change.

3. A method in accordance with claim 1 wherein transmitting the electrical load shedding signal comprises at least one of transmitting a signal requesting that a customer remove an electrical load from the power grid and transmitting a signal that automatically removes the electrical load from the power grid.

4. A method in accordance with claim 1 wherein determining the first energy demand forecast using stored information comprises determining the first energy demand forecast using at least one of historical weather information, historical demand information, and weather forecast information.

5. A method in accordance with claim 1 further comprising:

determining a second energy demand forecast based on a customer response to the adjusted price signal;

determining a difference between the second energy demand forecast and the first energy supply forecast; and

transmitting the electrical load shedding signal to predetermined customers to shed a quantity of electrical loads that is greater than the difference between the second energy demand forecast and the first energy supply forecast.

6. A method in accordance with claim 5 further comprising:

determining a second energy supply forecast based on a customer response to the adjusted price signal, wherein the second energy supply forecast includes an increased energy supply during peak time periods; and

determining a difference between the second energy demand forecast and the second energy supply forecast; and

transmitting the electrical load shedding signal to predetermined customers to shed a quantity of electrical loads that is greater than the difference between the second energy demand forecast and the second energy supply forecast.

7. A method in accordance with claim 1 further comprising generating a load shed schedule that rank orders loads available for shedding.

8. A method in accordance with claim 1 wherein transmitting at least one of the adjusted price signal and the electrical load shedding signal to a customer over a bi-directional communication system comprises sending at least one of the adjusted price signal and the electrical load shedding signal to a customer over at least one of a portion of an advanced metering infrastructure (AMI), a wireless communication network and a broadband over power line communication network.

9. A method in accordance with claim 1 wherein transmitting the adjusted price signal to a customer further comprises transmitting a request that a customer reduce energy usage over an upcoming period of time.

10. A method in accordance with claim 1 wherein comparing the first energy demand forecast to the first energy supply forecast comprises:

providing a graphical display of the first energy demand forecast and first energy supply forecast to a power grid operator; and

providing the power grid operator with inputs for selection of potential loads to be shed.

11. A system for managing electrical demand on a power grid in response to electrical supply conditions comprising:

a processing device configured to;

forecast a first energy demand forecast using stored information,

determine a first energy supply forecast using at least a secure unit commitment module and a generation capacity forecast module,

compare the first energy demand forecast to the first energy supply forecast, and

provide a demand side management (DSM) signal based at least partially on the comparison of the first energy demand forecast and the first energy supply forecast; and

a bi-directional communication system communicatively coupling said processing device to a plurality of customers, said bi-directional communication system configured to receive the DSM signal from said processing device and provide predetermined customers of the plurality of customers with the DSM signal.

12. A system in accordance with claim 11 further comprising a memory device communicatively coupled to said processing device, said memory device configured to store the stored information in at least one database.

13. A system in accordance with claim 11 wherein the stored information comprises at least one of historical weather data, historical demand data, and weather forecast data.

14. A system in accordance with claim 11 wherein the DSM signal comprises at least one of an adjusted price signal and an electrical load shedding signal, the adjusted price signal and the electrical load shedding signal based at least partially on the comparison of the first energy demand and the first energy supply.

15. A system in accordance with claim 11 wherein said processing device is further configured to calculate real-time pricing information based at least partially on the comparison of the first energy demand and the first energy supply.

16. A system in accordance with claim 11 wherein said processing device is further configured to rank order loads available for shedding.

17. A system in accordance with claim 11 wherein said bi-directional communication system comprises at least one of a wireless communication network and a broadband over power line communication network.

18. A system in accordance with claim 11 wherein said bi-directional communication system comprises an advanced metering infrastructure (AMI) that couples said processing device to a DSM system of a customer, said DSM system comprising at least one of a DSM visualization device and a supervisory control and data acquisition (SCADA) device.

19. A system in accordance with claim 18 wherein said DSM visualization device is configured to display at least one of the adjusted price and a load shed request to the customer.

20. A system in accordance with claim 18 wherein said SCADA device is coupled to at least one customer load and configured to directly control operation of the at least one customer load.