Heating room temperature control method based on model predictive control

Abstract

The invention belongs to the technical field of heat supply room temperature control, provides a heat supply room temperature control method based on model prediction control, and adopts the model prediction control method to regulate and control the heat supply room temperature. Firstly, the room temperature of a user side is predicted through a room model, then the predicted room temperature, the actually measured room temperature and the set temperature are input into a rolling optimization model, rolling optimization is carried out in combination with current water supply and return parameters, meteorological parameters, heat supply balance and other conditions, and an optimal control parameter sequence capable of meeting the room temperature requirement is determined; and the first optimization parameter is used for the controlled object, so that the heat dissipating capacity of the heat dissipating tail end is controlled, and the set indoor temperature is further gradually approached. According to the control strategy, the set temperature can be quickly approached, overshoot and oscillation rarely occur, heat supply energy consumption can be further reduced, indoor heat comfort is improved, and carbon emission of a heat supply system is reduced.

Description

technical field [0001] The invention relates to the technical field of heating room temperature control, in particular to a heating room room temperature control method based on model prediction control. Background technique [0002] Central heating regulation in my country has few regulation measures on the user side, and the degree of participation is low. Most central heating systems charge fees according to the heating area, and users are less motivated to save energy. Generally, they rarely actively adjust the indoor temperature. Therefore, the energy saving potential of the heating user side is great. The main problem is that the heat source cannot adjust the heat supply in time with the weather changes and the load size, which makes most users supply too much heat, resulting in excessive heating energy consumption and energy waste; Lack of reasonable active adjustment means, the indoor temperature is higher than the required temperature, and when the room temperature ...

AI Technical Summary

Problems solved by technology

Using existing control means such as PI control or PID control to control the heating room with large thermal inertia and heat capacity, there will often be obvious oscillations, and control deviations are prone to occur

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