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Cluster Temperature Control Load Control Method Based on Model Prediction and Multi-scale Priority

A model predictive control and temperature control load technology, which is applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of response effect dependence, low control precision of time-varying characteristics, etc., and achieve good dynamic control performance, Increased accuracy and speed, the effect of high modeling accuracy

Inactive Publication Date: 2021-10-08
福建和盛高科技产业有限公司
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Problems solved by technology

[0005] The purpose of the present invention is to provide a cluster temperature control load control method based on model prediction and multi-scale priority, which is used to solve the problem that the response effect of the existing cluster temperature control load control method depends on the time-varying characteristics of a given tracking signal and the control accuracy is low And other issues

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  • Cluster Temperature Control Load Control Method Based on Model Prediction and Multi-scale Priority
  • Cluster Temperature Control Load Control Method Based on Model Prediction and Multi-scale Priority
  • Cluster Temperature Control Load Control Method Based on Model Prediction and Multi-scale Priority

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Embodiment Construction

[0035] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0036] The flow chart of the cluster temperature control load control method based on model prediction and multi-scale priority in the present invention is as follows figure 1 As shown, the specific process is as follows:

[0037] 1) 2D state warehouse modeling of cluster temperature control load, the specific process is as follows:

[0038] 11) If figure 2 As shown in , according to the current switching status of the cluster temperature control load, it is divided into a closed group and an open group;

[0039] 12) For the closed group in the two-dimensional plane, according to the upper and lower limits of the user comfort indoor air temperature and indoor material temperature ( and ) divides the temperature interval into N i / 2 indoor air temperature cells and N m / between 2 indoor material temperature cells, forming N a *...

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Abstract

The invention relates to a cluster temperature control load control method based on model prediction and multi-scale priority. (1) 2D state bin modeling of cluster temperature control load; (2) Solve the time-varying state space model of control load; (3) Obtain the cluster temperature control load control model at the current moment based on the model predictive control algorithm; (4) Multi-scale Priority ranking indicators are used to select load objects; (5) Execute model predictive control for optimal control signals. The invention proposes a cluster temperature control load control method based on model prediction rolling optimization control, adding a multi-scale priority sorting load selection process based on normalized temperature distance, power similarity and cumulative control times. The advantage is that the accuracy and speed of the load response optimal control signal vector are improved. Compared with the traditional control method, the control method proposed in the present invention has better comprehensive performance in terms of control accuracy, response speed, and fairness of load participation in demand response.

Description

technical field [0001] The invention belongs to the field of flexible interactive intelligent power consumption and demand response, and in particular relates to a cluster temperature control load control method based on model prediction and multi-scale priority. Background technique [0002] In recent years, my country's renewable energy has developed rapidly. In 2016, the newly added grid-connected capacity of wind power was 19.3 million kilowatts, and the newly added grid-connected capacity of photovoltaic power reached 34.24 million kilowatts. However, renewable energy such as wind power and photovoltaics has "unfriendly" characteristics such as randomness and intermittency, and large-scale grid connection will adversely affect the safe and reliable operation of the power system. The latest research at home and abroad shows that the dynamic integration of demand-side resources will gradually become an effective way to improve the capacity of new energy consumption. Temp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 黄永冰胡飞顾乡曹立波林丽燕黄其烟陶海欧
Owner 福建和盛高科技产业有限公司
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