Bidirectional demand response control

• US 9,680,308 B2
• Filed: 05/14/2012
• Issued: 06/13/2017
• Est. Priority Date: 05/20/2011
• Status: Active Grant

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Bruschi, Paul J., Suresh, Sindhu
• Primary Examiner(s): Barnie, Rexford
• Assistant Examiner(s): Willoughby, Terrence
• Application Number:
  US14/114,307
• Publication Number:
  US 20140062195A1
• Time in Patent Office: 1,856 Days
• Field of Search: 307 38
• CPC Class Codes: B60L 2240/66 Ambient conditions
• CPC Class Codes: B60L 2240/72 Charging station selection relying on external data
• CPC Class Codes: B60L 2240/80 Time limits
• CPC Class Codes: B60L 2260/54 Energy consumption estimation
• CPC Class Codes: B60L 3/12 Recording operating variables ; Monitoring of operating variables
• CPC Class Codes: B60L 53/63 in response to network capacity
• CPC Class Codes: B60L 53/64 Optimising energy costs, e.g. responding to electricity rates
• CPC Class Codes: B60L 53/65 involving identification of vehicles or their battery types
• CPC Class Codes: B60L 53/68 Off-site monitoring or control, e.g. remote control
• CPC Class Codes: B60L 55/00 Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00007 using the power network as support for the transmission
• CPC Class Codes: H02J 13/00026 involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
• CPC Class Codes: H02J 13/00028 involving the use of Internet protocols
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/06 Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
• CPC Class Codes: H02J 4/00 Circuit arrangements for mains or distribution networks not specified as ac or dc
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 10/72 : Electric energy management in electromobility
• CPC Class Codes: Y02T 10/92 : Energy efficient charging or discharging systems for batteries, ultracapacitors, supercapacitors or double-layer capacitors specially adapted for vehicles
• CPC Class Codes: Y02T 90/12 : Electric charging stations
• CPC Class Codes: Y02T 90/14 : Plug-in electric vehicles
• CPC Class Codes: Y02T 90/16 : Information or communication technologies improving the operation of electric vehicles
• CPC Class Codes: Y02T 90/167 : Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: Y04S 10/126 : the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
• CPC Class Codes: Y04S 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
• CPC Class Codes: Y04S 40/121 : using the power network as support for the transmission
• CPC Class Codes: Y04S 40/126 : using wireless data transmission

Abstract

A method for managing allocation of electrical power includes selecting one or more power consuming entities for receiving a request to reduce electrical power usage (S23) based on data pertaining to past selections of entities for receiving requests to reduce power and a history of compliance with said requests (S22). A customized request to reduce power usage for each of the selected one or more power consuming entities is generated (S24). The generated customized request to reduce power usage is received at a corresponding power consuming entity and a cost associated with complying with the received customized request to reduce power usage is evaluated (S25). A commitment to comply with the received customized request to reduce power usage is returned when the evaluated cost is within a threshold of acceptability and negotiating a new request to reduce power when the evaluated cost is greater than a threshold of acceptability (S26).

Claims

1. A method for managing allocation of electrical power, comprising:

selecting one or more power consuming entities for receiving a request to reduce electrical power usage based on data pertaining to past selections of entities for receiving requests to reduce power and a history of compliance with said requests;

generating a customized request to reduce power usage for each of the selected one or more power consuming entities;

receiving the generated customized request to reduce power usage at a corresponding power consuming entity;

evaluating a cost associated with complying with the received customized request to reduce power usage; and

returning a commitment to comply with the received customized request to reduce power usage when the evaluated cost is within a threshold of acceptability and negotiating a new request to reduce power when the evaluated cost is greater than a threshold of acceptability,

wherein the returned commitment includes a strategy for meeting the received customized request to reduce power usage.

2. The method of claim 1, wherein the request to reduce electrical power usage includes a request to curtail electrical consumption, to generate power independently, or to store electrical power at a first time and to release the stored electrical power at a second time that is later than the first time.

3. The method of claim 1, additionally comprising forecasting electrical power demand and identifying an insufficiency of available electrical power based on a forecasted demand and operating market conditions.

4. The method of claim 3, wherein forecasting the electrical power demand is performed using statistical data concerning past electrical power demand and forecasts concerning factors that affect power usage.

5. The method of claim 4, wherein said forecasts concerning factors that affect power usage include a weather forecast or economic conditions.

6. The method of claim 3, wherein forecasting the electrical power demand is performed automatically by a computer system based on data from a database of statistical data concerning past electrical power demand and recent weather report information retrieved over the Internet.

7. The method of claim 1, additionally comprising executing the commitment to comply with the request or executing the negotiated new request by curtailing power utilization, independently generating power, or storing and releasing power.

8. The method of claim 7, wherein execution of the commitment or the negotiated new request includes storing power within one or more electrical vehicles and releasing the stored power for general use.

9. The method of claim 1, wherein the request to reduce electrical power usage includes a request for the corresponding power consuming entity to become, for a predetermined period of time, a net power producing entity.

10. The method of claim 1, wherein said data pertaining to past selections of entities for receiving requests to reduce power and a history of compliance with said requests is retrieved from a database.

11. The method of claim 1, wherein generating the customized request to reduce power for each of the selected one or more power consuming entities is performed automatically using a computer system.

12. The method of claim 1, wherein said generated requests to reduce power for each of the selected one or more power consuming entities are transmitted in encoded form over an electronic network.

13. The method of claim 1, wherein said evaluating of the cost associated with complying with the received customized request to reduce power is performed automatically by a computer system.

14. The method of claim 1, wherein said negotiating the new request to reduce power when the evaluated cost is greater than a threshold of acceptability is performed automatically and electronically using a bidirectional line of data communication.

15. The method of claim 1, wherein the generated customized request to reduce power includes a quantity of load to shed or a maximum load utilization as a function of time.

16. A computer system comprising:

a processor; and

a non-transitory, tangible, program storage medium, readable by the computer system, embodying a program of instructions executable by the processor to perform method steps for managing allocation of electrical power, the method comprising;

selecting one or more power consuming entities for receiving a request to reduce electrical power usage, based on data pertaining to past selections of entities for receiving requests to reduce power and a history of compliance with said request;

generating a customized request to reduce electrical power usage at a corresponding power consuming entity;

receiving the generated customized request to reduce electrical power usage at a corresponding power consuming entity;

evaluating a cost associated with complying with the received customized request to reduce electrical power usage; and

returning a commitment to comply with the received customized request to reduce electrical power usage when the evaluated cost is within a threshold of acceptability and negotiating a new request to reduce electrical power usage, when the evaluated cost is greater than a threshold of acceptability, wherein the returned commitment includes a strategy for meeting the received customized request.

17. The computer system of claim 16, wherein the request to reduce electrical power usage includes a request to curtail electrical consumption, to generate power independently, or to store electrical power at a first time and to release the stored electrical power at a second time that is later than the first time.

18. The computer system of claim 16, additionally comprising forecasting electrical power demand and identifying an insufficiency of available electrical power based on a forecasted demand and operating market conditions.