Active anti-interference source network tail end collaborative self-optimization heat supply regulation and control method based on multi-target monitoring

Abstract

The invention relates to an active anti-interference source network tail end cooperative self-optimization heat supply regulation and control method based on multi-target monitoring. A regulation and control system adopted by the regulation and control method comprises a control unit, a multi-target monitoring and analysis module, an active anti-interference feedback control module, a feedforward control module and a database. According to the method, various controllable elements are deepened through coupling and decoupling of information and an energy system, internal and external thermal disturbance and uncertainty in the actual operation process are fully considered, and based on a load prediction model and a control parameter model, multi-target monitoring, active disturbance rejection, source network tail end collaboration and self-learning self-optimization are achieved. According to the method, system inertia, building thermal inertia, terminal user requirements and time variation can be better considered, on-demand heat supply with the time scale and the space scale small enough can be achieved, and energy waste caused by excessive heat supply can be avoided to the maximum extent while the thermal comfort requirement of a user can be met.

Description

technical field [0001] The invention belongs to the technical field of central heating control, and relates to the control of different levels of control units at the end of a primary network, a secondary network, and a source network of a central heating system, and in particular to a coordinated self-optimizing heating supply based on multi-objective monitoring and active anti-interference at the end of the source network. control method. Background technique [0002] In northern China, central heating is the most common form of heating. "On-demand heating" is the basic path to ensure users' heat demand while achieving significant energy conservation and emission reduction. Due to the large thermal inertia of the system, the thermal inertia of the building, and the time-varying heating mode of the user, the central heating system has limited transient adjustment response capability. The actual heating process has different degrees of mismatch between supply and demand and...

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Problems solved by technology

The regulation of "heating on demand" includes two aspects. One is that the heat demand of end users is not exactly the same, and there are different degrees of time-varying; the other is that there are many heat disturbances and uncertainties in the actual heating process; It is due to the limitation of inertia transient adjustment ability in the adjustment process

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