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Demand response optimization scheduling method and system

A demand-response and ideal-response technology, applied in information technology support systems, power network operating system integration, AC network voltage adjustment, etc. higher question

Pending Publication Date: 2020-11-20
CHINA ELECTRIC POWER RES INST +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In order to offset the uncertainty of power user participation, dispatch centers used to adopt a one-size-fits-all approach, directly requiring power users to participate in demand response or administrative orders with high incentive subsidies or contracts. The inventor found that this method would As a result, the power grid provides high incentive subsidies to power users, which increases the economic cost of the power grid for demand response dispatch. In addition, if administrative measures are used to order, the power user experience will be reduced, which is not in line with the current goal of improving power user experience. Require

Method used

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  • Demand response optimization scheduling method and system

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Embodiment 1

[0064] Embodiment 1: as figure 1 As shown, the present invention provides a demand response optimization scheduling method, including:

[0065] Step 1. For each moment, based on the pre-built user behavior model and the minimum threshold of all users' comprehensive willingness to participate, obtain the incentive level of the power grid to respond to the user's participation demand;

[0066] Step 2. Based on the incentive level of the power grid for users to participate in demand response and the total capacity of demand response scheduling load forecast at each moment, optimize and calculate the minimum cost of grid scheduling demand response, and obtain the hourly load resource scheduling mode with the minimum cost;

[0067] The user behavior model is constructed based on the relationship between the probability of user participation in demand response and the power grid incentive level.

[0068] In this embodiment, the user is a power user.

[0069] figure 2 Shows figu...

Embodiment 2

[0119] Embodiment 2: The present invention also provides an optional embodiment to specifically explain the implementation of the above technical solution. The optional embodiment uses the power grid demand response server, the power user energy management system, the standby rotating generator set monitoring module and the distributed The power energy management system implements an uncertain demand response optimization scheduling method that considers the willingness of users to participate, including:

[0120] The power grid demand response server uses the short-term load forecasting method to determine the peak time of power consumption in the future and the peak load power consumption in the corresponding time period, and determine the behavior model of power users under the jurisdiction of the lower level that may participate in demand response; and

[0121] The power user energy management system reports load information to the grid demand response server; and

[0122]...

Embodiment 3

[0144] Embodiment 3: Based on the same inventive concept, the embodiment of the present invention also provides a demand response optimization scheduling system, including:

[0145] Determine the incentive level module, which is used to obtain the incentive level of the power grid to respond to user participation demand based on the pre-built user behavior model and the minimum threshold of all users' comprehensive participation willingness for each moment;

[0146] The optimization calculation module is used to optimize and calculate the minimum cost of grid dispatch demand response based on the incentive level of the power grid for users to participate in demand response and the total capacity of demand response scheduling load prediction at each moment, and obtain the hourly load resource scheduling mode with the minimum cost ;

[0147] The user behavior model is constructed based on the relationship between the probability of user participation in demand response and the p...

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Abstract

The invention discloses a demand response optimization scheduling method and system. The method comprises the steps: obtaining an excitation level of a power grid for participation of a user in demandresponse for each moment based on a pre-built user behavior model and the lowest threshold of a comprehensive participation intention of all users; and based on the excitation level of the power gridto the user participation demand response and a demand response scheduling load prediction total capacity at each moment, performing optimization calculation on the minimum cost of the power grid scheduling demand response to obtain a load resource scheduling mode when the cost is minimum, wherein the user behavior model is constructed based on a relationship between a probability that the user participates in the demand response and the power grid excitation level. The uncertainty of user participation in demand response is considered, and a purpose of optimizing the operation cost of the power grid is achieved based on the relationship between the probability of user participation in demand response and excitation.

Description

technical field [0001] The invention relates to the technical field of power system demand side management, in particular to a demand response optimization dispatching method and system. Background technique [0002] As a key part of many links in the operation process of the source-grid-load interactive system, demand response bears the important responsibility of demand-side management. Especially when there is a daily peak power consumption, how the dispatch center considers the integration of demand-side power user load resources, backup rotating generator sets and distributed power to achieve load balancing has always been a key concern of the current power system planning. The controllable loads of power users, especially industrial users, will participate in the demand response of the power grid as high-quality resources. The main reason is that firstly, its controllable capacity is large, and the effect of peak-shaving and valley-filling gain on the power grid is ob...

Claims

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Application Information

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IPC IPC(8): H02J3/14
CPCH02J3/144H02J2203/20Y02B70/3225Y04S20/222
Inventor 陈宋宋袁金斗何胜王昊张兴华王鑫刘强陈珂李磊薛云耀周颖曹望璋王浩吉张露露
Owner CHINA ELECTRIC POWER RES INST
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