Power allocation system

• US 10,243,369 B2
• Filed: 09/30/2015
• Issued: 03/26/2019
• Est. Priority Date: 10/01/2014
• Status: Active Grant

• Current Assignee: 369 Labs Pty Limited
• Original Assignee: Embertec Pty Ltd
• Inventors: Gelonese, Domenico
• Primary Examiner(s): Cole, Brandon S
• Application Number:
  US14/870,168
• Publication Number:
  US 20160099571A1
• Time in Patent Office: 1,273 Days
• Field of Search: 307 11- 42, 1 1
• CPC Class Codes: H02J 13/00001 characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
• CPC Class Codes: H02J 13/00026 involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 2300/28 The renewable source being wind energy wind motors F03D
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 3/381 Dispersed generators
• 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: 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 10/56 Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 10/76 Power conversion electric or electronic aspects
• CPC Class Codes: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y02E 70/30 Systems combining energy storage with energy generation of non-fossil origin
• CPC Class Codes: Y04S 10/123 the energy generation units being or involving renewable energy sources
• CPC Class Codes: Y04S 10/40 Display of information, e.g. of data or controls
• CPC Class Codes: Y04S 20/12 Energy storage units, uninterruptible power supply [UPS] systems or standby or emergency generators, e.g. in the last power distribution stages
• CPC Class Codes: Y04S 20/221 General power management systems
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 40/126 using wireless data transmission
• CPC Class Codes: Y04S 50/10 : Energy trading, including energy flowing from end-user application to grid

Abstract

A hub device controls an electrical energy state of one or more appliances, and controls an alternative electricity supply such as a solar generation installation whose output is non-constant such that sometimes the electrical energy available from the alternative electrical supply is greater than the electrical energy demand from the appliances, and at other times the electrical energy available from the alternative electrical supply is less than the electrical energy demand from the appliances. The hub device may control the alternative electricity supply and/or the appliances such that the electrical energy available from the alternative electrical supply is matched to the electrical energy demand from the appliances.

Claims

1. A hub device for installation in conjunction with one or more appliances, wherein:

a. the appliances are provided with electrical energy from;

(1) a mains electricity supply, and

(2) an alternative electricity supply; and

b. the electricity demand of the appliances is non-constant such that;

(1) during a first time period the electrical energy available from the alternative electrical supply is greater than the electrical energy demand from the appliances, and

(2) during a second time period the electrical energy available from the alternative electrical supply is less than the electrical energy demand from the appliances;

the hub device being configured to;

I. control the alternative electricity supply such that during the first time period, the electrical energy available from the alternative electrical supply is reduced to a level which does not exceed the electrical energy demand from the appliances, and

II. control a power use state of at least one of the appliances such that during the first time period, the hub device increases the electrical energy demand of the appliances to a level which does not exceed the electrical energy supply available from the alternative electrical supply.

2. The hub device of claim 1 wherein the control of the power use state of at least one of the appliances is such as to shift at least some electrical energy demand from the second time period to the first time period.

3. The hub device of claim 1 wherein the hub device controls the electrical energy available from the alternative electrical supply so as to minimize the cost of electricity supplied to the appliances.

4. The hub device of claim 1 wherein the hub device controls the power use state of at least one of the appliances between an “

ON”

state and an “

OFF”

state.

5. The hub device of claim 1 wherein the hub device'"'"'s control of the power use state of at least one of the appliances includes the setting of a thermostat.

6. The hub device of claim 1 wherein the hub device:

a. stores performance data about the prior performance of the alternative electrical energy supply,

b. receives and stores environmental data describing the environment in which the hub device is operating,

c. correlates prior performance data and environmental data, and

d. predicts the future level of electrical energy which will be available from the alternative electrical energy supply, such prediction using the correlations of prior performance data and environmental data.

7. The hub device of claim 6 further configured to:

a. profile household energy usage to predict future electrical energy demand by the electrical appliances, and

b. use;

(1) the predicted electrical energy demand, and

(2) the predicted future level of electrical energy which will be available from the alternative electrical energy supply,

to determine scheduling of;

A. appliance activation, and

B. alternative electrical energy supply use,

in order to minimize use of electrical energy from the mains electricity supply.

8. The hub device of claim 6 wherein the environmental data includes one or more of temperature, behavior of a dwelling occupant, time of day, day of week, time of year, presence of a dwelling occupant, wind speed and cloud cover.

9. The hub device of claim 1 further configured to control the flow of electrical energy to a storage battery such that during the first time period the sum of:

a. the flow of electrical energy to the storage battery, and

b. the electrical energy available to the appliances from the alternative electrical supply,

approximately equals the electrical energy available from the alternative electrical energy supply.

10. The hub device of claim 1 wherein the alternative electrical energy supply consists of one or both of:

a. a solar electrical power system, and

b. a wind turbine electrical power system.

11. A hub device for installation in conjunction with one or more appliances, wherein:

a. the appliances are provided with electrical energy from;

(1) a mains electricity supply, and

(2) an alternative electricity supply; and

b. the electricity demand of the appliances is non-constant such that;

(1) during a first time period the electrical energy available from the alternative electrical supply is greater than the electrical energy demand from the appliances, and

(2) during a second time period the electrical energy available from the alternative electrical supply is less than the electrical energy demand from the appliances;

the hub device being configured to control;

I. the flow of electrical energy to a storage battery,

II. the electrical energy demand of the appliances, and

III. the electricity supply of the alternative electricity supply,

such that during the first time period the sum of;

A. the flow of electrical energy to the storage battery, and

B. the electrical energy demand of the appliances,

approximately equals the electrical energy available from the alternative electrical energy supply.

12. The hub device of claim 11 wherein the hub device:

a. stores performance data about the prior performance of the alternative electrical energy supply,

b. receives and stores environmental data describing the environment in which the hub device is operating,

c. correlates prior performance data and environmental data, and

d. predicts the future level of electrical energy which will be available from the alternative electrical energy supply, such prediction using the correlations of prior performance data and environmental data.

13. The hub device of claim 12 further configured to:

a. profile household energy usage to predict future electrical energy demand by the electrical appliances, and

b. use;

(1) the predicted electrical energy demand, and

(2) the predicted future level of electrical energy which will be available from the alternative electrical energy supply,

to determine scheduling of;

A. appliance activation, and

B. alternative electrical energy supply use,

in order to minimize use of electrical energy from the mains electricity supply.

14. The hub device of claim 12 wherein the environmental data includes one or more of temperature, behavior of a dwelling occupant, time of day, day of week, time of year, presence of a dwelling occupant, wind speed and cloud cover.

15. The hub device of claim 11 wherein the alternative electrical energy supply consists of one or both of:

a. a solar electrical power system, and

b. a wind turbine electrical power system.

16. A method of control of an alternative electricity supply installed in conjunction with one or more appliances, the appliances being provided with electrical energy from a mains electricity supply and by the alternative electricity supply, the alternative electricity supply being a solar electrical power system and/or a wind turbine electrical power system, the method including the step of maintaining the output electrical energy of the alternative electricity supply at a level which does not exceed the electrical energy demand of the appliances.

17. The method of claim 16 further including the steps of:

a. increasing the electrical energy demand of at least one of the appliances, while

b. maintaining the output electrical energy of the alternative electricity supply at a level which does not exceed the electrical energy demand of the appliances.

18. The method of claim 16 further including the step of reducing the output electrical energy of the alternative electricity supply in order to maintain the output electrical energy of the alternative electricity supply at a level which does not exceed the electrical energy demand of the appliances.

19. The method of claim 16 further including the steps of:

a. storing performance data about the prior performance of the alternative electricity supply;

b. receiving environmental data describing the environment in which the alternative electricity supply is operating;

c. correlating the prior performance data and the environmental data; and

d. predicting the future level of electrical energy which will be available from the alternative electricity supply, such prediction using the correlations of the prior performance data and the environmental data.

20. The method of claim 19 further including the steps of:

a. including profiling household energy usage to predict future electrical energy demand by the electrical appliances, and

b. using;

(1) the predicted electrical energy demand, and

(2) the predicted future level of electrical energy which will be available from the alternative electricity supply,

to determine scheduling of;

A. appliance activation, and

B. alternative electrical energy supply use,

in order to minimize use of electrical energy from the mains electricity supply.