Controlling the distribution of energy resources on a smart grid

• US 10,134,097 B2
• Filed: 01/03/2014
• Issued: 11/20/2018
• Est. Priority Date: 01/03/2013
• Status: Active Grant

• Current Assignee: Industry-University Cooperation Foundation Hanyang University
• Original Assignee: Industry-University Cooperation Foundation Hanyang University
• Inventors: Hong, Seung-Ho, Yu, Mengmeng
• Primary Examiner(s): Ali, Mohammad
• Assistant Examiner(s): Booker, Kelvin
• Application Number:
  US14/759,090
• Publication Number:
  US 20150372484A1
• Time in Patent Office: 1,782 Days
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• 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
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid
• CPC Class Codes: Y04S 50/14 Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Abstract

The present invention relates to a smart grid system and a method for distributing resources in the system. The smart grid system according to the present invention comprises at least one non-shiftable device; at least one controllable device; and at least one shiftable device; wherein price data are provided at each stage, the non-shiftable device is always provided with its resource requirements, the controllable device is provide with resources in the range of its resource requirements, and the shiftable device has its nominal resource requirements but not allowed to be provided with resources at the stage when resource price is highest.

Claims

1. A resource distribution method in a smart grid system that includes a plurality of devices in a plurality of stages, comprising steps for:

calculating available resources for each device based on a budget and price data at each stage;

calculating reference resources for each device based on historical data including resource consumption at previous stages;

determining reserved resources for each device based on the available resources and the reference resources for each device;

comparing the determined reserved resources with required resources for each device; and

classifying the devices based on results of the comparison wherein each device is classified into an S-device with surplus resources if the determined reserved resources are more than the required resources for said each device, and into a D-device with deficiency resources when the determined reserved resources are less than the required resources for said each device, the D-device being one of a non-shiftable device, a controllable device and a shiftable device; and

calculating a resource bargaining unit (RBU) if a total amount of the surplus resources satisfies all non-shiftable D-devices and satisfies minimum requirements of all controllable D-devices, wherein

the RBU is iteratively distributed to all D-devices, and

a size of the RBU at a k-th iteration of each stage is determined as being the smaller one between a minimum value of a gap that is between the required resources and currently allocated resources for each device, and a value of the total surplus resources at the k-th iteration divided by a number of D-devices of which the required resources are not satisfied, k being a positive integer.

2. The resource distribution method of claim 1, wherein the surplus resources are provided to the controllable D-devices by the RBU, and then provided to the shiftable D-devices by the RBU when the surplus resources still remain after all controllable D-devices have been satisfied to their maximum requirements.

3. The resource distribution method of claim 1, wherein the surplus resources are provided to the controllable D-devices when the surplus resources still remain after the surplus resources have been provided to all shiftable D-devices.

4. The resource distribution method of claim 1, wherein the RBU is provided to all shiftable D-devices after being provided to all controllable D-devices, and is repeatedly provided to all shiftable D-devices after being provided to all controllable D-devices until no surplus resources remain.