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Whole-network balance adjustment method of centralized heat supply system

A technology of balanced regulation and heating pipe network, applied in heating system, space heating and ventilation details, heating methods, etc., can solve problems such as large lag, time-varying, non-linear, etc. Overcome the coupling problem and ensure the effect of rationality and efficiency

Active Publication Date: 2018-07-06
BEIJING SIFANG JIBAO AUTOMATION
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Problems solved by technology

The heating system is a complex distributed large system with obvious large lag, time-varying, nonlinear and strong coupling.

Method used

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  • Whole-network balance adjustment method of centralized heat supply system
  • Whole-network balance adjustment method of centralized heat supply system
  • Whole-network balance adjustment method of centralized heat supply system

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Embodiment 2

[0108] Such as image 3 Shown is a schematic structural diagram of a central heating system network-wide balance adjustment system provided by an embodiment of the present invention. The device includes: a state observation unit, a numerical weather forecast unit, an artificial neural network unit, and an active disturbance rejection control unit. their interaction see Figure 4 .

[0109] The numerical weather forecast unit predicts the outdoor weather conditions after the τ time period at a specific time, so as to send a control signal in advance for the response at τ time, and fire the first shot for the entire heating control system;

[0110] The state observation unit obtains the system model style according to the transfer function of the approximate system, estimates the internal state space form of the system, and visualizes the system that is difficult to accurately model, which is the basis of other system model units;

[0111] The artificial neural network unit, a...

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Abstract

The invention provides a whole-network balance adjustment method and a system thereof for a heat supply pipe network. The order and the form of a model for a heat supply system are obtained accordingto the heat balance analysis. An expanded state observer of the heat supply system is constructed to obtain a system model, wherein the system model is not clear in internal structure and is not easyto model. Meanwhile, a time-lag performance parameter of the heat supply system is obtained. Based on the numerical weather forecast service, the outdoor temperature after the time lag tau of the system is predicted from a specific moment. Furthermore, a user heat supply load after the tau moment is predicted, and then the advanced control is carried out. Through constructing an auto-disturbance rejection controller module, the coupling between heat stations is overcome and the operation state of the heat supply system is regulated in real time. The action of an electrically operated valve ofa primary network is controlled, so that the indoor temperature of a secondary network user reaches a preset value. Based on the self-learning function of a BP neural network, the parameters of the auto-disturbance rejection controller are set. Based on the above steps, the coupling between heat stations is overcome, and the thermodynamic balance of the whole network is achieved. The indoor temperatures of all users are balanced and consistent. The purposes of reducing the heat loss of the pipe network and saving the energy are achieved. The method can be widely applied to the centralized heating control.

Description

technical field [0001] The invention relates to the field of heat supply control, in particular to a whole network balance control method. Background technique [0002] In the urban heating system, central heating has become the top priority. Usually a city has several district heating systems, and each district network has dozens or hundreds of heat exchange stations. The heat exchange station connects the heat network and heat users, and the heat medium transported by the heat network is regulated and converted through the heat exchange station, and is reasonably distributed according to the heat load demand of each heat user. The heating system is a complex distributed large system with obvious large lag, time-varying, nonlinear and strong coupling. Therefore, inventing a method that can overcome the system inertia, effectively control the heat exchange station equipment, and realize the thermal and hydraulic balance of the entire heating system is very necessary for th...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06F24D19/10
CPCG06Q10/04G06Q50/06F24D19/1009
Inventor 雷文焕燕飞刘刚李金奎
Owner BEIJING SIFANG JIBAO AUTOMATION
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