ANALYTICS FOR CONSUMER POWER CONSUMPTION

• US 20110184574A1
• Filed: 01/24/2011
• Published: 07/28/2011
• Est. Priority Date: 01/25/2010
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Partington, Alastair, Le Roux, Gaëlle
• Granted Patent: US 8,918,221 B2
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G01D 4/004 Remote reading of utility meters to a fixed location
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05F 1/66 Regulating electric power
• 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 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 13/00009 using pulsed signals
• CPC Class Codes: H02J 13/00016 using a wired telecommunication network or a data transmission bus
• CPC Class Codes: H02J 13/00028 involving the use of Internet protocols
• CPC Class Codes: H02J 13/00034 the elements or equipment being or involving an electric power substation
• CPC Class Codes: H02J 2310/60 Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
• CPC Class Codes: H02J 3/144 Demand-response operation of the power transmission or distribution network
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/30 State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
• 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
• CPC Class Codes: Y04S 20/00 Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/30 Smart metering, e.g. specially adapted for remote reading
• CPC Class Codes: Y04S 40/121 : using the power network as support for the transmission
• CPC Class Codes: Y04S 40/124 : using wired telecommunication networks or data transmission busses

Abstract

A system and method for centralized statistical analysis and control of power consumption is provided. The centralized statistical analysis, performed by a centralized power utility management system, may then be compared with one or more goals of the customer. Based on the comparison of the statistical analysis with the one or more goals of the customer, one or more actions may be taken including controlling one or more appliances resident at the customer premises.

Claims

1. A central power utility management system for analyzing power consumption or generation at a plurality of customer premises and for commanding at least one device at each of the plurality of customer premises based on the analysis, the power management system comprising:

at least one database arranged to store customer data for a customer resident at each of the plurality of customer premises, the customer data comprising at least one customer goal for power consumption at each of the plurality of customer premises, the customer goal being set by the customer resident at the customer premises;

a receiver arranged to receive data at the central power utility management system from each of the plurality of customer premises, the data generated by one or more sensors at each of the plurality of customer premises and indicative of power consumption or power generation at each of the plurality of customer premises; and

an analytics engine comprising analytical rules arranged to statistically analyze the data from the one or more sensors and compare the statistically analyzed data with the at least one goal in order to generate a command associated with at least one device resident at least one of the customer premises, the command controlling at least one device resident at the at least one of the customer premises.

2. The power management system of claim 1, wherein the power management system also manages a power grid that distributes power to the customer premises.

3. The power management system of claim 2, wherein the one or more sensors are integrated with a meter device used arranged to measure an amount of power consumed at the customer premises.

4. The power management system of claim 3, wherein the one or more sensors send the data indicative of power consumption to the meter device in order for the meter device, using the communication functionality, to send the data to the power management system.

5. The power management system of claim 4, wherein the at least one device resident at the customer premises comprises at least one appliance;

wherein at least one of the sensors generates real-time data for the appliance; and

wherein the command to send to the device comprises a command to modify operation of the at least one appliance.

6. The power management system of claim 5, wherein the command turns the at least one appliance on or off.

7. The power management system of claim 6, wherein the statistical analysis comprises analysis of the data stored over a predetermined time period in order to determine power consumption over the predetermined time period.

8. The power management system of claim 7, wherein the statistical analysis comprises analysis of the data in order to generate a predictive power consumption.

9. The power management system of claim 8, wherein the at least one device resident at the customer premises comprises at least one generator;

and

wherein at least one of the sensors generates real-time data for the generator.

10. The power management system of claim 9, wherein the command comprises routing power generated by the at least one generator to at least a portion of the power grid.

11. The power management system of claim 10, further comprising:

a smart meter resident at the customer premises, the smart meter generating the data indicative of power consumption;

at least one appliance resident at the customer premises; and

a computer resident at the customer premises, the computer in communication with the smart meter and the at least one appliance, the computer receiving the command and controlling the at least one appliance based on the command.

12. The power management system of claim 11, wherein the computer is configured to route commands generated by the analytics engine to a plurality of appliances resident at the customer premises.

13. The power management system of claim 12, wherein the smart meter receives the command generated by the analytics engine and sends the command to the computer.

14. A central power utility management system for analyzing power consumption or generation at a plurality of customer premises and for commanding at least one device at each of the plurality of customer premises based on the analysis, the power management system comprising:

at least one database arranged to store customer data for a customer resident at each of the plurality of customer premises, the customer data comprising at least one customer goal for power consumption at each of the plurality of customer premises, the customer goal being set by the customer resident at the customer premises;

a receiver arranged to receive data at the central power utility management system from each of the plurality of customer premises, the data generated by one or more sensors at each of the plurality of customer premises and indicative of power consumption or power generation at each of the plurality of customer premises; and

an analytics engine comprising analytical rules arranged to statistically analyze the data from the one or more sensors and compare the statistically analyzed data with the at least one goal in order to generate at least one communication for the customer premises, the communication indicative of a comparison of the at least one goal with the data received from the customer premises.

15. The power management system of claim 14, wherein the statistical analysis comprises analysis of the data stored over a predetermined time period in order to determine power consumption over the predetermined time period.

16. A method for analyzing power consumption or generation at a plurality of customer premises and for commanding at least one device at each of the plurality of customer premises based on the analysis, the method comprising:

accessing customer data from at least one database, the customer data for a customer resident at each of the plurality of customer premises and comprising at least one customer goal for power consumption at each of the plurality of customer premises, the customer goal being set by the customer resident at the customer premises;

receiving data at a central power utility management system from each of the plurality of customer premises, the data generated by one or more sensors at each of the plurality of customer premises and indicative of power consumption or power generation at each of the plurality of customer premises;

statistically analyzing the data from the one or more sensors using an analytics engine comprising analytical rules; and

comparing the statistically analyzed data with the at least one goal in order to generate a command associated with at least one device resident at least one of the customer premises, the command controlling at least one device resident at the at least one of the customer premises.

17. The method of claim 16, wherein the data comprises real-time data for at least one appliance resident at the customer premises;

and

wherein the command comprises a command to modify operation of the at least one appliance.

18. The method of claim 17, wherein the command turns the at least one appliance on or off.

19. The method of claim 18, wherein statistically analyzing comprises analyzing the data stored over a predetermined time period in order to determine power consumption over the predetermined time period.

20. The method of claim 19, wherein statistically analyzing comprises analyzing the data in order to generate a predictive power consumption.