Portfolio managed, demand-side response system

• US 9,471,080 B2
• Filed: 12/18/2013
• Issued: 10/18/2016
• Est. Priority Date: 10/21/2013
• Status: Active Grant

• Current Assignee: REstore NV (Centrica PLC)
• Original Assignee: REstore NV (Centrica PLC)
• Inventors: Rombouts, Jan-Willem, Gheerardyn, Jos
• Primary Examiner(s): Bahta, Kidest
• Application Number:
  US14/133,002
• Publication Number:
  US 20150112501A1
• Time in Patent Office: 1,035 Days
• Field of Search: 700/286
• US Class Current: 1/1
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/242 Home appliances

Abstract

A central site, using grid operator requirements to reduce portfolio power according to frequency decreases within a frequency band, determines the optimal frequency triggers at which each load within a portfolio should reduce power and by how much power. Power availability of each load is optimized. These triggers and individual load power reductions are periodically dispatched from the central site to the individual loads. Each load detects when a frequency deviation occurs and is able to independently and rapidly reduce its power consumption according to the triggers and corresponding power reductions it received previous to the frequency deviation. Reliance upon the central site to detect a frequency deviation and then to dispatch power reductions in real time is not needed. The system also detects frequency increases and directs a portfolio of loads to consume more power. The system applies to energy loads and detection of a grid signal in general.

Claims

1. A method of changing power consumption of a portfolio of energy loads connected to an energy distribution grid that each has a power consumption, said method comprising:

receiving, at a central computer, a portfolio response function indicating a desired power response of said portfolio of energy loads to a signal able to be measured on said distribution grid at each of said energy loads;

determining, at said central computer, a local response function for each of said energy loads indicating a power change amount in response to variations in said signal;

dispatching said local response functions to their respective energy loads from said central computer;

after said dispatching, detecting by each of said energy loads that said signal has changed at said each energy load; and

in response to said detecting, each energy load independently and automatically changing its power consumption by said power change amount according to said each local response function, wherein said desired power response is realized by the combination of said power change amounts.

2. The method as recited in claim 1 wherein said energy loads are electrical loads, wherein said energy distribution grid is an electricity grid, and wherein said signal is a frequency of said electricity grid.

3. The method as recited in claim 2 wherein said detected frequency is lower than the normal operating frequency of said electricity grid, said method further comprising:

in response to said detecting, each electrical load independently reducing its power consumption by said power change amount, wherein the power consumption of said portfolio of electrical loads is reduced by said desired power response.

4. The method as recited in claim 2 wherein said detected frequency is higher than the normal operating frequency of said electricity grid, said method further comprising:

in response to said detecting, each electrical load independently increasing its power consumption by said power change amount, wherein the power consumption of said portfolio of electrical loads is increased by said desired power response.

5. The method as recited in claim 1 wherein said desired power response is a specific power amount or amounts received from a grid operator, wherein said grid operator of said energy distribution grid requires that said power consumption of said portfolio of energy loads change by said desired power response when said signal varies over a signal range, and wherein said combination of said power change amounts is equivalent to said desired power response.

6. The method as recited in claim 1 further comprising:

each energy load independently changing its power consumption in real time in response to said detecting and without input from said central unit.

7. The method as recited in claim 6 further comprising:

each energy load independently changing its power consumption on the order of seconds.

8. The method as recited in claim 1 further comprising:

changing the power consumption of each energy load by said power change amount without violating a boundary condition of said each energy load.

9. The method as recited in claim 1 wherein said energy loads are gas loads, wherein said energy distribution grid is a gas grid, and wherein said signal is a pressure of said gas grid.

10. The method as recited in claim 1 wherein said portfolio response function is a linear function.

27. The method as recited in claim 1 further comprising:

ordering said energy loads by decreasing probability that said each energy load will be able to change its power consumption in the future by said each power change amount, wherein energy loads with a higher probability having a local response function that responds to said variations in said signal before energy loads having a lower probability.

28. The method as recited in claim 27 wherein said ordering also takes into account for said each energy load the total power consumption available to be changed, the length of time over which power consumption can be changed, the volatility of power consumption, or the response time for changing power consumption.

11. A system for changing power consumption of a portfolio of energy loads connected to an energy distribution grid that each has a power consumption, said method comprising:

a central computer arranged to receive a portfolio response function indicating a desired power response of said portfolio of energy loads to a signal able to be measured on said energy distribution grid at each of said energy loads, said central computer being further arranged to determine a local response function for each of said energy loads indicating a power change amount in response to variations in said signal;

a dispatch computer coupled to said central computer and arranged to dispatch said local response functions to their respective energy loads from said central computer;

a signal detector located at each of said energy loads that, after said dispatch, is arranged to detect at each of said energy loads that said signal has changed at said each energy load; and

a local computer located at each of said energy loads that, in response to said detection, is arranged to change the power consumption of said each energy load independently and automatically by said power change amount according to said each local response function, wherein said desired power response is realized by the combination of said power change amounts.

12. The system as recited in claim 11 wherein said energy loads are electrical loads, wherein said energy distribution grid is an electricity grid, and wherein said signal is a frequency of said electricity grid.

29. The system as recited in claim 12 wherein said detected frequency is lower than the normal operating frequency of said electricity grid, wherein said each electrical load reduces its power consumption by said power change amount, and wherein said power consumption of said portfolio of electrical loads is reduced by said desired power response.

30. The system as recited in claim 12 wherein said detected frequency is higher than the normal operating frequency of said electricity grid, wherein said each electrical load increases its power consumption by said power change amount, and wherein said power consumption of said portfolio of electrical loads is increased by said desired power response.

31. The system as recited in claim 11 wherein said desired power response is a specific power amount or amounts received from a grid operator, wherein said grid operator of said energy distribution grid requires that said power consumption of said portfolio of energy loads change by said desired power response when said signal varies over a signal range, and wherein said combination of said power change amounts is equivalent to said desired power response.

32. The system as recited in claim 11 wherein said each energy load changes its power consumption in real time in response to said detecting by said each signal detector and without input from said central unit.

33. The system as recited in claim 32 further wherein said each energy load changes its power consumption on the order of seconds.

34. The system as recited in claim 11 wherein said each energy load changes its power consumption by said power change amount without violating a boundary condition of said each energy load.

35. The system as recited in claim 11 wherein said energy loads are gas loads, wherein said energy distribution grid is a gas grid, and wherein said signal is a pressure of said gas grid.

36. The system as recited in claim 11 wherein said portfolio response function is a linear function.

37. The system as recited in claim 11 wherein said central computer being further arranged to order said energy loads by decreasing probability that said each energy load will be able to change its power consumption in the future by said each power change amount, wherein energy loads with a higher probability having a local response function that responds to said variations in said signal before energy loads having a lower probability.

38. The system as recited in claim 37 wherein said ordering also takes into account for said each energy load the total power consumption available to be changed, the length of time over which power consumption can be changed, the volatility of power consumption, or the response time for changing power consumption.

13. A method of changing power consumption of a portfolio of energy loads connected to an energy distribution grid that each has a power consumption, said method comprising:

receiving, at a central computer, a portfolio response function indicating a desired power response of said portfolio of energy loads to a signal able to be measured on said energy distribution grid at each of said energy loads;

receiving an optimization function having a term indicating for each energy load a probability that said each energy load will have an available power amount at particular signal values;

maximizing said optimization function to produce for said each energy load a local response function indicating a power change amount in response to variations in said signal; and

dispatching said local response functions to their respective energy loads from said central computer, whereby said portfolio response function is realized by the combined operation of said local response functions.

14. The method as recited in claim 13 further comprising:

after said dispatching, detecting by each of said energy loads that said signal has varied from a normal value at said each energy load; and

in response to said detecting, each energy load independently and automatically changing its power consumption by said power change amount dictated by said local response function of said each energy load.

15. The method as recited in claim 13 further comprising:

ordering said energy loads by decreasing power availability of each of said loads.

16. The method as recited in claim 15 wherein said power availability is the probability that each energy load will be able to change its power consumption in the future by said each power change amount without violating a boundary condition of said each energy load.

17. The method as recited in claim 13 wherein said optimization function further has a negative term indicating for each energy load a probability that a response time to change said power consumption of said each energy load is greater than a required response time of a grid operator.

18. The method as recited in claim 13 wherein said optimization function further has a negative term indicating for each energy load a probability that said each energy load will have an available power amount less than a percentage of said power change amount.

19. The method as recited in claim 13 wherein said energy distribution grid is an electricity grid, wherein said energy loads are electrical loads, and wherein said signal is a frequency of said electricity grid.

20. The method as recited in claim 19 wherein said frequency is lower than a normal operating frequency of said electricity grid, said method further comprising:

ordering said electrical loads by decreasing probability that said each electrical load will be able to reduce its power consumption in the future by said each power change amount, loads with a higher probability having a local response function that responds to higher values of said frequency.

21. The method as recited in claim 19 wherein said frequency is higher than a normal operating frequency of said electricity grid, said method further comprising:

ordering said electrical loads by decreasing probability that said each electrical load will be able to reduce its power consumption in the future by said each power change amount, loads with a higher probability having a local response function that responds to lower values of said frequency.

22. The method as recited in claim 13 wherein said desired power response is a specific power amount or amounts received from a grid operator, wherein said grid operator of said energy grid requires that said power consumption of said portfolio of energy loads change by said desired power response when said signal varies over a signal range, and wherein a combination of said power change amounts is equivalent to said desired power response.

23. The method as recited in claim 13 wherein said energy loads are gas loads, wherein said energy distribution grid is a gas grid, and wherein said signal is a pressure of said gas grid.

24. The method as recited in claim 13 wherein said portfolio response function is a linear function.

39. The method as recited in claim 13 further comprising:

ordering said energy loads by decreasing probability that said each energy load will be able to change its power consumption in the future by said each power change amount, wherein energy loads with a higher probability having a local response function that responds to said variations in said signal before energy loads having a lower probability.

40. The method as recited in claim 39 wherein said ordering also takes into account for said each energy load the total power consumption available to be changed, the length of time over which power consumption can be changed, the volatility of power consumption, or the response time for changing power consumption.

25. A system for changing power consumption of a portfolio of energy loads connected to an energy distribution grid that each has a power consumption, said method comprising:

a central computer arranged to receive a portfolio response function indicating a desired power response of said portfolio of energy loads to a signal able to be measured on said energy distribution grid at each of said energy loads, said central computer being further arranged to receive an optimization function having a term indicating for each energy load a probability that said each energy load will have an available power amount at a particular signal value;

an algorithm computer coupled to said central computer arranged to maximize said optimization function to produce for said each energy load a local response function indicating a power change amount in response to variations in said signal; and

a dispatch computer coupled to said central computer and arranged to dispatch said local response functions to their respective energy loads from said central computer, whereby said portfolio response function is realized by the combined operation of said local response functions.

26. The system as recited in claim 25 wherein said energy distribution grid is an electricity grid, wherein said energy loads are electrical loads, and wherein said signal is a frequency of said electricity grid.

41. The system as recited in claim 25 further comprising:

a signal detector located at each of said energy loads that, after said dispatch, is arranged to detect at each of said energy loads that said signal has changed at said each energy load; and

a local computer located at each of said energy loads that, in response to said detection, is arranged to change the power consumption of said each energy load independently and automatically by said power change amount according to said each local response function, wherein said desired power response is realized by the combination of said power change amounts.

42. The system as recited in claim 25 wherein said algorithm computer being further arranged to order said energy loads by decreasing power availability of each of said loads.

43. The system as recited in claim 42 wherein said power availability is the probability that each energy load will be able to change its power consumption in the future by said each power change amount without violating a boundary condition of said each energy load.

44. The system as recited in claim 25 wherein said optimization function further has a negative term indicating for each energy load a probability that a response time to change said power consumption of said each energy load is greater than a required response time of a grid operator.

45. The system as recited in claim 25 wherein said optimization function further has a negative term indicating for each energy load a probability that said each energy load will have an available power amount less than a percentage of said power change amount.

46. The system as recited in claim 26 wherein said frequency is lower than a normal operating frequency of said electricity grid, wherein said algorithm computer being further arranged to order said electrical loads by decreasing probability that said each electrical load will be able to reduce its power consumption in the future by said each power change amount, and wherein electrical loads with a higher probability having a local response function that responds to higher values of said frequency.

47. The system as recited in claim 26 wherein said frequency is higher than a normal operating frequency of said electricity grid, wherein said algorithm computer being further arranged to order said electrical loads by decreasing probability that said each electrical load will be able to reduce its power consumption in the future by said each power change amount, and wherein electrical loads with a higher probability having a local response function that responds to lower values of said frequency.

48. The system as recited in claim 25 wherein said desired power response is a specific power amount or amounts received from a grid operator, wherein said grid operator of said energy grid requires that said power consumption of said portfolio of energy loads change by said desired power response when said signal varies over a signal range, and wherein a combination of said power change amounts is equivalent to said desired power response.

49. The system as recited in claim 25 wherein said energy loads are gas loads, wherein said energy distribution grid is a gas grid, and wherein said signal is a pressure of said gas grid.

50. The system as recited in claim 25 wherein said portfolio response function is a linear function.

51. The system as recited in claim 25 wherein said algorithm computer being further arranged to order said energy loads by decreasing probability that said each energy load will be able to change its power consumption in the future by said each power change amount, wherein energy loads with a higher probability having a local response function that responds to said variations in said signal before energy loads having a lower probability.

52. The system as recited in claim 51 wherein said ordering also takes into account for said each energy load the total power consumption available to be changed, the length of time over which power consumption can be changed, the volatility of power consumption, or the response time for changing power consumption.