OPERATING METHOD AND APPARATUS OF SMART SYSTEM FOR POWER CONSUMPTION OPTIMIZATION

• US 20150310461A1
• Filed: 04/24/2015
• Published: 10/29/2015
• Est. Priority Date: 04/25/2014
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: LEE, Dong-Seop, SEO, Sung-Mok, CHO, Hye-Jung
• Application Number:
  US14/695,774
• Publication Number:
  US 20150310461A1
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: G16Y 10/35 Utilities, e.g. electricity, gas or water
• CPC Class Codes: H04L 12/2827 Reporting to a device within the home network; wherein the reception of the information reported automatically triggers the execution of a home appliance functionality
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]
• CPC Class Codes: Y02D 30/70 in wireless communication networks
• CPC Class Codes: Y04S 40/18 Network protocols supporting networked applications, e.g. including control of end-device applications over a network

Abstract

The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method for operating a server in a smart system and a server are provided. The method may include: determining an electricity rate system for an electronic device based on at least one of rate information according to power use of the electronic device and power usage information of the electronic device; and transmitting information of the electricity rate system to a user device.

Claims

1. A method for operating a server in a smart system, the method comprising:

determining an electricity rate system for an electronic device based on at least one of rate information of the electronic device and power usage information of the electronic device; and

transmitting information about the electricity rate system to a user device.

2. The method of claim 1, wherein determining the electricity rate system further comprises determining at least one of a tier-based rate system, a time of use-based rate system, a critical peak pricing-based rate system, a real-time pricing-based rate system, a promotion rate system, and a penalty rate system, based on at least one of the rate information and the power usage information,

wherein the rate information comprises at least one of a rate receipt for each time period among a plurality of time periods of the electronic device and rate transfer information, and

the power usage information comprises power consumption data for each time period among the plurality of time periods of the electronic device.

3. The method of claim 1, wherein determining the electricity rate system further comprises:

collecting climate information; and

determining the electricity rate system for the electronic device using at least one of the rate information, the power usage information, and the climate information.

4. The method of claim 1, wherein determining the electricity rate system further comprises determining an electricity rate system that minimizes power consumption costs of the electronic device based on at least one of past use information according to the rate information, the power usage information, electricity rate system information according to an area, and climate information.

5. The method of claim 4, wherein determining the electricity rate system further comprises:

predicting a future power use rate based on at least one of a past rate, a present rate, climate information according to a time zone, and energy information according to a time zone; and

determining the electricity rate system of the electronic device according to the predicted future power use rate.

6. The method of claim 5, wherein the climate information comprises at least one of temperature information, humidity information, and sunshine amount information,

wherein a weight is applied to each of the temperature information, the humidity information, and the sunshine amount information, and

wherein the weight applied to each of the temperature information, the humidity information, and the sunshine amount information is determined based on at least one of whether an ambient temperature is in a normal range of ambient temperatures and whether a climate forecast is in a normal range of climate forecasts.

7. The method of claim 1, wherein determining the electricity rate system further comprises:

collecting at least one of energy storage system information and renewable energy information; and

determining the electricity rate system for the electronic device according to at least one of the rate information and the power usage information, and according to at least one of the energy storage system information and the renewable energy information.

8. The method of claim 7, wherein determining the electricity rate system further comprises:

determining renewable energy based on at least one of an ambient temperature, a wind speed, and an amount of sunshine; and

determining the electricity rate system based on at least one of the determined renewable energy, a power rate, a prediction of the amount of power consumed for one day, a life cycle of the energy storage system, and a charging rate of the energy storage system.

9. The method of claim 1, further comprising:

determining a power consumption pattern for minimizing power consumption of the electronic device based on the determined electricity rate system;

determining device control information corresponding to the power consumption pattern; and

transmitting at least one of the determined power consumption pattern and the device control information to at least one of the user device and the electronic device,

wherein the power consumption pattern is determined based on at least one of an electricity rate system variable, a contract power variable, and a consumption pattern variable, and the power consumption pattern comprises at least one of an electricity rate system optimization value, a real-time contract power optimization value, and a real-time consumption pattern optimization value.

10. A server device of a smart system, the server device comprising:

a processor configured to determine an electricity rate system corresponding to an electronic device based on at least one of rate information according to past use of the electronic device and power usage information of the electronic device; and

a transceiver configured to transmit information about the electricity rate system to a user device.

11. The server device of claim 10, wherein the processor is further configured to determine that the electricity rate system comprises at least one of a tier-based rate system, a time of use-based rate system, a critical peak pricing-based rate system, a real-time pricing-based rate system, a promotion rate system, and a penalty rate system, based on at least one of the rate information and the power usage information,

wherein the rate information comprises at least one of a rate receipt for each time period among a plurality of time periods of the electronic device and rate transfer information, and

the power usage information comprises power consumption data for each time period among the plurality of time periods of the electronic device.

12. The server device of claim 10, wherein the processor is further configured to collect climate information and determine the electricity rate system for the electronic device according to at least one of the rate information, the power usage information, and the climate information.

13. The server device of claim 10, wherein the processor is further configured to determine the electricity rate system that minimizes power consumption costs of the electronic device on the basis of at least one of the past use information according to the rate information, the power usage information, electricity rate system information according to an area, and climate information.

14. The server device of claim 13, wherein the processor is further configured to predict a future power use rate on the basis of at least one of a past rate, a present rate, climate information according to a time zone, and energy information according to a time zone, and determine the electricity rate system of the electronic device according to the predicted future power use rate.

15. The server device of claim 14, wherein the climate information comprises at least one of temperature information, humidity information, and sunshine amount information,

wherein a weight is applied to each of the temperature information, the humidity information, and the sunshine amount information, and

wherein the weight applied to each of the temperature information, the humidity information, and the sunshine amount information is determined on the basis of at least one of whether an ambient temperature is in a normal range of ambient temperatures and whether a climate forecast is in a normal range of climate forecasts.

16. The server device of claim 10, wherein the processor is further configured to collect at least one of energy storage system information and renewable energy information, and determine the electricity rate system for the electronic device according to at least one of the rate information and the power usage information, and according to at least one of the energy storage system information and the renewable energy information.

17. The server device of claim 16, wherein the processor is further configured to determine renewable energy based on at least one of an ambient temperature, a wind speed, and the amount of sunshine, and determine the electricity rate system based on at least one of the determined renewable energy, a power rate, a prediction of the amount of consumed power for one day, a life cycle of the energy storage system, and a charging rate of the energy storage system.

18. The server device of claim 10, wherein the processor is further configured to determine a power consumption pattern for minimizing power consumption of the electronic device on the basis of the determined electricity rate system, determine device control information corresponding to the power consumption pattern, and transmit at least one of the determined power consumption pattern and the determined device control information to at least one of the user device and the electronic device.

19. The server device of claim 18, wherein the processor is further configured to determine the power consumption pattern on the basis of at least one of an electricity rate system variable, a contract power variable, and a consumption pattern variable, and wherein the power consumption pattern comprises at least one of an electricity rate system optimization value, a contract power optimization value, and a consumption pattern optimization value.

20. A method of optimizing a smart system, the method comprising:

collecting rate information of an electronic device and power usage information of the electronic device over a predetermined time period;

predicting an amount of power consumption of the electronic device on the basis of the collected rate information and the collected power usage information over a future time period; and

determining an optimal rate system by minimizing the amount of power consumption of the electronic device over the future time period based on the predicted amount of power consumption.