Station load linkage two-network balance online dynamic intelligent regulation and control method and system

Abstract

The invention provides a station load linkage two-network balance online dynamic intelligent regulation and control method. The method comprises the following steps that S1, data of indoor temperature, water supply temperature, return water temperature and outdoor temperature of each heat supply user are collected and processed; S2, a room comprehensive physical property coefficient BC value of each heat supply user is calculated; S3, clustering analysis is conducted on the BC value; S4, physical position classification is conducted on each heat supply user; S5, dynamic periodic return water temperature target value prediction is conducted on all types of classified heating user rooms through multiple linear regression, and a periodic return water temperature target value prediction model is established through multiple linear regression; S6, return water temperature correction coefficients of different types of users are calculated, and a return water temperature prediction target value is corrected; and S7, a circulating pump of a heating station performs linkage regulation and control according to the balance pressure difference of a secondary pipe network. The problem of thermal power and hydraulic power imbalance of heat users can be effectively solved, and the heating requirements of the users at different positions are met.

Description

technical field [0001] The invention belongs to the field of heat supply regulation, and in particular relates to a method and system for online dynamic intelligent regulation of two-network balance with station-load linkage. Background technique [0002] The heating network of the central heating system often suffers from hydraulic or thermal imbalance during operation, especially in the secondary pipe network system, which generally has hydraulic and thermal imbalances, which makes the room temperature of heat users in different locations vary greatly. In order to save energy and meet the heating needs of heating users in different locations, it is necessary to dynamically regulate the heating system. With the development of smart heating, the intelligent regulation of the primary pipe network has been able to solve the imbalance between the thermal stations, while the hydraulic and thermal imbalance of the secondary pipe network limits the further energy-saving operation ...

AI Technical Summary

Problems solved by technology

With the development of smart heating, the intelligent regulation of the primary pipe network has been able to solve the imbalance between the thermal stations, while the hydraulic and thermal imbalance of the secondary pipe network limits the further energy-saving operation of the thermal station

At present, for the regulation of the secondary network, the adjustment of "large flow and small temperature difference" is often used to solve the hydraulic and thermal imbalance, but this regulation method has great limitations. First, the large flow requires a corresponding high-power water pump, which increases the Initial investment and power consumption; Secondly, the large flow will increase the total heat supply, but the amount of heat obtained by heat users is different, which cannot meet the heating needs of heat users in different locations

Chinese patent 201810445773.9 discloses a heating pipe network regulation method, and Chinese patent 201710978069.5 discloses a heat network balance regulation system, both of which cannot meet the heating needs of heat users in different locations

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