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Load rebound optimization, load regulation method and system based on demand response

A technology of demand response and optimization method, applied in the direction of neural learning method, design optimization/simulation, data processing application, etc., can solve problems such as load rebound, and achieve the effect of reducing system load rebound

Active Publication Date: 2021-12-21
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a demand response-based load rebound optimization, load adjustment method and system to solve the problem of load rebound after the end of the control period in the response control technology in the prior art.

Method used

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  • Load rebound optimization, load regulation method and system based on demand response
  • Load rebound optimization, load regulation method and system based on demand response
  • Load rebound optimization, load regulation method and system based on demand response

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Embodiment 1

[0124] This embodiment discloses a method for optimizing the amount of load rebound. On the basis of the above embodiments, the following technical features are also disclosed:

[0125] Preferably, the objective function J 1 for:

[0126] J 1 =minL PB

[0127] =min∑15.202399x 1 2 -273.266156x 1 -2659.039304-132.8800x 2 2 +747.5x 2 +5.3630-0.000323x 3 2 +2.282920x 3 -9.865600

[0128] Based on the above aggregation model, the load distribution of the 12 time periods during summer user active time (09:00-21:00) is simulated respectively. Assume that there are 10 groups of user groups participating in DLC, and each group of user groups contains 500 control objects; during the period of user participation in demand response, DLC is implemented several times, and the control periods are not continuous. The hourly outdoor temperature changes during this period are as follows: figure 2 shown.

[0129] The user's thermodynamic parameters are shown in Table 1.

[0130...

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Abstract

The invention belongs to the technical field of power demand side management, and discloses a demand response-based load rebound optimization and load adjustment method and system. An optimization layer is added to the traditional demand response direct load control method, and the optimized parameters are negatively fed back. The form returns to the direct load control layer to suppress the load rebound; then iterative learning is used to smooth the sequence of the optimized parameters, which further reduces the load rebound and enhances the anti-interference ability of the system. Thus, the power grid can be operated safely and stably.

Description

technical field [0001] The invention belongs to the technical field of power demand side management, and in particular relates to a demand response-based load rebound optimization and load adjustment method and system. Background technique [0002] With the increase of demand, intermittent new energy led by various new power generation methods has been connected to the power grid on a large scale, which greatly increases the fluctuation of power load and the instability of power flow, which is harmful to the stability of the power grid system. Running poses a huge threat. At the same time, this situation also prompts people to put forward higher requirements on the adaptive capacity of the power grid. On the other hand, although the overall supply and demand of the power grid is relatively balanced and there will be no large-scale collapse, there will still be staged and local tensions during peak power load periods in some areas. [0003] In the process of actual demand r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F24F11/64G06F30/27G06Q10/06G06Q50/06G06N3/08
Inventor 闫秀英李忆言刘聪
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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