Method and device for real-time demand response reward determination in smart power network

A real-time demand, smart grid technology, applied in data processing applications, instruments, resources, etc., to solve problems such as power load reduction capacity

Inactive Publication Date: 2017-09-15
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, since this method only announces a fixed reward rate, it cannot mobilize the po

Method used

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  • Method and device for real-time demand response reward determination in smart power network
  • Method and device for real-time demand response reward determination in smart power network
  • Method and device for real-time demand response reward determination in smart power network

Examples

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Effect test

example 1

[0210] Example 1: Multi-tenant Data Center Power Demand Response Incentives

[0211] Data centers are large consumers of electricity. With the increase in the number of data centers, if data centers can be allowed to participate in the demand response of the power grid, the ability of the power grid to maintain a balance between power supply and demand will be greatly enhanced. However, a multi-tenant data center does not have the authority to regulate the power consumption of tenant servers. Therefore, the power provider of the multi-tenant data center can use the reward method of the embodiment of the present invention to provide rewards for tenants participating in power load reduction, so as to coordinate these tenants to participate in demand response projects. The scenario of this embodiment is that the power provider of the multi-tenant data center participates in the open and competitive power wholesale market to purchase electricity, and supplies electricity to the da...

example 2

[0223] Example 2: Demand Response Incentives for Electric Vehicle Charging in Smart Cities

[0224] With the increasing number of electric vehicles in cities, there will be considerable potential for electric vehicle demand response. However, the city's public electricity provider does not have the authority to regulate the charging and discharging arrangements of private electric vehicles. Therefore, urban public power suppliers can use the demand response reward method of the embodiment of the present invention to provide rewards for electric vehicles parked at charging piles in the city, and coordinate these electric vehicles to participate in demand response projects. The scenario of this embodiment is that the urban public power supplier participates in the open and competitive power wholesale market to purchase electricity, and supplies electric vehicles with retail electricity prices for charging. The process of this embodiment is as follows:

[0225] In the first step...

example 3

[0236] Example 3: Demand Response Incentives for Smart Factories in Industrial Parks

[0237] my country's industrial electricity consumption accounts for the highest proportion. It is predicted that in 2020, industrial electricity consumption will account for 73.53% of my country's total electricity consumption, which has the greatest potential for power demand response. However, the power supplier of the industrial park does not have the authority to regulate the power consumption arrangement of the factories in the park. Therefore, the power supplier of the industrial park can use the demand response reward method of the embodiment of the present invention to provide rewards for the power-consuming factories in the park, and coordinate these factories to participate in the demand response project. The scenario of this embodiment is that the power supplier in the industrial park participates in the open and competitive power wholesale market to purchase electricity, and supp...

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Abstract

The embodiment of the invention provides a method and device for real-time demand response reward determination in a smart power network. The method comprises: obtaining a real-time wholesale electricity price and a retail electricity price; based on the obtained wholesale electricity price and retail electricity price, calculating a plurality of candidate reward rates; displaying the candidate reward rates and electric power load subduction capacities corresponding to each candidate reward rate; determining a selected electric power load subduction capacity; determining the profit obtained by employing the candidate reward rate corresponding to the selected electric power load subduction capacity; and determining the candidate reward rate having the maximum profit as the optimal reward and performing display in the candidate reward rate corresponding to the selected electric power load subduction capacity. The method and device for the real-time demand response reward determination in the smart power network are employed to realize reward rate regulation to call the electric power load subduction capacities of electricity consumption users.

Description

technical field [0001] The invention relates to the technical field of smart grid demand response, in particular to a method and device for determining real-time demand response rewards in a smart grid. Background technique [0002] With the increase of renewable energy generation capacity, the real-time power generation capacity in the grid becomes difficult to control. Therefore, countries such as Europe and the United States have proposed a demand-side power consumption regulation method, that is, through the two-way real-time communication capability of the smart grid, to issue dynamic power prices or rewards to power users, and adjust the power demand of power users to follow changes in power generation capacity. In order to achieve the balance between power supply and demand and improve economic efficiency, this method is called Demand Response (DemandResponse) for short. At present, Demand Response has become the most important function in the smart grid. [0003] Wi...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06315G06Q10/06312G06Q10/06393G06Q50/06
Inventor 李义常刘驰
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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