SMART GRID PRICE RESPONSE SERVICE FOR DYNAMICALLY BALANCING ENERGY SUPPLY AND DEMAND

• US 20100138363A1
• Filed: 06/12/2009
• Published: 06/03/2010
• Est. Priority Date: 06/12/2009
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Batterberry, Troy, Jaskolka, Karen, Toll, Rod, Miller, Michaeljon
• Application Number:
  US12/483,975
• Publication Number:
  US 20100138363A1
• Time in Patent Office: Days
• US Class Current: 705/412
• 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: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• 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 “Smart Grid Pricer” enables automated balancing of the supply and demand of energy supply and consumption, such as the generation and consumption of electricity between electricity providers and electricity consumers. The Smart Grid Pricer automatically computes and delivers real-time energy pricing information to consumers on behalf of energy retailers (e.g., electricity utilities) to help drive the balance of demand with supply. In various embodiments, real-time pricing is determined by using various probabilistic models to estimate overall consumer demand as a function of factors such as energy price, time of day, region, weather, etc. to compute a price that will result in an energy demand that is closely balanced to the available supply. On the consumer side, various components of the Smart Grid Pricer automatically respond to such pricing information to optimize energy consumption in accordance with a variety of automated and/or user defined rules and preferences.

Claims

1. A method for balancing energy supply with energy demand between a plurality of energy consumers and one or more energy providers, comprising steps for:

providing a statistical model of price-based energy demand characteristics of a plurality of energy consumers;

periodically evaluating the statistical model in combination with a model of available energy supply one or more energy providers to determine optimal real-time energy pricing for balancing an actual energy demand of the energy consumers relative to the available energy supply;

periodically reporting the real-time energy pricing to the energy consumers and the energy providers;

delivering energy to one or more of the each energy consumers from one or more of the energy providers; and

monitoring actual energy consumer energy usage over time to record the energy use of each energy consumer relative to the corresponding real-time energy pricing.

2. The method of claim 1 further comprising steps for staggering the periodic reporting of real-time energy pricing to one or more subgroups of the plurality of energy consumers to smooth real-time energy demand changes.

3. The method of claim 1 further comprising steps for providing real-time pricing that is automatically customized for one or more specific energy consumers to reflect actual energy delivery costs over corresponding energy transmission and distribution links.

4. The method of claim 1 further comprising steps for reporting the real-time energy pricing to the energy consumers via a tamper-resistant communications channel.

5. The method of claim 1 further comprising steps for allowing individual energy consumers to acknowledge receipt of reported real-time energy pricing via a tamper-resistant communications channel.

6. The method of claim 1 further comprising steps for defining one or more energy consumption preferences for individual energy consumers via a remotely accessible user interface.

7. The method of claim 1 further comprising steps for automatically driving energy consumption for one or more devices corresponding to one or more of the energy consumers based on a set of one or more user selectable rules.

8. The method of claim 1 further comprising steps for automatically controlling energy consumption of one or more devices via a “

smart plug”

inline between the one or more devices and the energy delivered to the corresponding energy consumer.

9. The method of claim 1 wherein monitoring the actual energy consumer energy usage over time comprises steps for recording the energy usage via a smart meter that is periodically read by the corresponding energy provider.

10. A system for providing a scalable intermediary service for balancing energy supply and demand between energy providers and energy consumers in real time, comprising:

a device for periodically modeling consumer energy demand characteristics of a group of energy consumers;

a device for periodically computing real-time energy pricing as a function of the modeled consumer energy demand characteristics relative to a limited variable energy supply level available for delivery from an energy provider;

wherein the real-time pricing is set at a level that is designed to closely balance current consumer energy demand relative to the current available energy supply levels;

a device for periodically reporting the real-time energy pricing to the group of energy consumers;

a device for distributing portions of the current available energy supply to each of the group of energy consumers based on the energy demand of each individual energy consumer; and

a device for monitoring actual consumer energy usage of each energy consumer relative to the corresponding real-time energy pricing.

11. The system of claim 10 further comprising a user interface device for allowing users to one or more energy consumption preferences from a set of predefined energy usage profiles for automatically modifying the energy demand of each individual energy consumer as a real-time function of the reported real-time energy pricing.

12. The system of claim 11 wherein the user interface is remotely accessible via a secure connection across the Internet.

13. The system of claim 10 further comprising a device for periodically computing and reporting expected energy pricing for predefined periods in the future, said expected energy pricing being based on probabilistic estimates of future energy demand characteristics of the group of energy consumers in combination with probabilistic estimates of future available energy supply levels.

14. The system of claim 10 further comprising a device for staggering the periodic reporting of real-time energy pricing to one or more subgroups of the group of energy consumers.

15. The system of claim 10 further comprising a “

smart plug”

device placed in-line between one or more devices associated with one or more of the energy consumers and the energy distributed to the corresponding energy consumer, said smart plug being used to automatically control energy consumption of the corresponding devices in response to the real-time energy pricing.

16. A computer-readable medium having computer executable instructions stored therein for computing real-time electricity prices for balancing electricity supply and demand between electricity providers and electricity consumers, said instructions comprising:

periodically modeling consumer electricity demand characteristics based on historical and current consumer electricity usage and a current and forecast available electricity delivery capacity;

periodically setting a real-time electricity price as a function of the modeled consumer electricity demand characteristics at a level intended to balance current consumer electricity demand relative to the available electricity delivery capacity;

periodically reporting the real-time electricity price to the electricity consumers via a staggered reporting wherein subgroups of the electricity consumers are notified over a period of time sufficient to partially smooth rapid changes in current consumer electricity usage;

delivering the available electricity to the electricity consumers; and

monitoring actual electricity usage of each electricity consumer relative to the corresponding real-time electricity price.

17. The computer-readable medium of claim 16 wherein periodically modeling consumer electricity demand characteristics is further based on energy consumption characteristics of electrical devices known to be associated with particular consumers.

18. The computer-readable medium of claim 16 wherein periodically modeling consumer electricity demand characteristics is further based on current and forecast weather conditions over a region encompassing the electricity consumers.

19. The computer-readable medium of claim 16 wherein the periodic reporting of the real-time electricity price is performed via a tamper-resistant communications channel.

20. The computer-readable medium of claim 16 further comprising instructions for defining one or more electricity consumption preferences for individual electricity consumers via a remotely accessible user interface.