Whole-network dynamic balance adjusting method and system for heat supply system

Abstract

The invention discloses a whole-network dynamic balance adjusting method and system for a heat supply system, and belongs to the technical field of heating ventilation air conditioners, and the method comprises the steps: collecting parameters of the heat supply system, monitoring energy consumption data of heat consumers in real time, building a heat load demand model in combination with meteorological data, and predicting heat demand changes in different time periods; unified heat source initial adjustment is conducted on a central heat source according to heat demand changes, the heat supply amount and the water supply temperature of the heat source are adjusted, and supply and demand dynamic balance is achieved; heat supply balance is tracked in real time, and parameter synchronization between the heating stations and a heat source and between the heating stations is carried out; local operation adjustment is carried out on the primary side of the heating station according to secondary network outlet parameters monitored in real time, and local flow and temperature adjustment is carried out to achieve dynamic balance. The whole-network dynamic balance of the heat supply system is achieved, the response speed and the energy efficiency of the system are improved, coordinated operation of the heating stations is ensured, the heat supply stability is enhanced, and the purposes of saving energy, protecting the environment and improving the comfort degree are achieved through refined local adjustment.

Description

Technical Field

[0001] The present invention relates to the technical field of heating, ventilation and air conditioning, and in particular to a method and system for dynamic balance adjustment of the entire network of a heating system. Background Art

[0002] The basic task of a centralized heating system is to ensure the balance between the heat supply of the heat source and the sum of the heat consumption of all heat users at any outdoor temperature, as well as the balance of heat consumption among heat users, that is, the supply and demand balance and distribution problem.

[0003] The balance between heat sources and users is a balance of quantity, and the balance of heat consumption between users is a balance under the distribution standard. Balance is divided into hydraulic balance and thermal balance (referred to as balance). Hydraulic balance is a necessary condition for heat network balance and a means of heat network balance; thermal balance is the purpose of regulation and control. The regulation and balance strategy of the centralized heating system is the core technical issue of safe, stable and economical heating in the heating industry.

[0004] The difficulty of balancing the entire network is a function of the system scale. The objective existence of the system's capacity, inertia, and delay (time delay) all affect the difficulty of balancing regulation. The existing heating load parameter adjustment curve equations do not reflect the system's capacity, inertia, delay and other factors. This makes the central regulation theory based on conventional theory have different degrees of load changes and load balancing delays in actual application, which may ultimately cause the heat load of users in different geographical locations to be unable to synchronize with the total load of the heat source.

[0005] Secondly, due to the different geographical locations, capacities and time delays of different thermal power stations, the parameters between the heat source and the thermal power station, and between the thermal power stations are not synchronized at the same time. The asynchrony of the primary network parameters of the thermal power station also leads to the asynchrony of the secondary network export parameters.

[0006] To sum up, the central quality control alone cannot meet the requirement that the user's heat load changes synchronously with the outdoor temperature, cannot achieve the balance of the entire network, and ultimately leads to poor room temperature stability or even failure to meet the standards for some users.

[0007] In order to overcome the above-mentioned parameter asynchrony phenomenon, the present invention adopts a comprehensive control strategy of central quality regulation at the heat source and local quantity regulation at the primary side of the thermal power station, which fundamentally eliminates the imbalance of secondary network parameter asynchrony caused by parameter asynchrony generated by the time delay of the primary network, and effectively ensures the synchronous load regulation of the thermal network.

[0008] Therefore, the combination of central quality regulation at the heat source and local quantity regulation at the thermal power station, that is, centralized and distributed regulation, fundamentally avoids the capacity, inertia, and delay characteristics of the system, and is a reasonable and effective system regulation and network-wide balancing strategy. Summary of the invention

[0009] In view of the above existing problems, the purpose of the present invention is to monitor and predict the changes in heat demand of heat users in real time to achieve on-demand supply, and dynamically adjust the output of heat sources to maintain a balance between supply and demand. The method also focuses on solving the challenge of achieving parameter synchronization in a complex multi-heat source and multi-heat station system, as well as improving system energy efficiency and reducing energy consumption while ensuring the quality of heating. Through these technical measures, the method aims to overcome the technical difficulties such as supply and demand mismatch, energy waste and unstable system operation in traditional heating systems.

[0010] In order to solve the above technical problems, a method for dynamic balance adjustment of the whole network of heating system is proposed, including:

[0011] Collect heating system parameters, monitor energy consumption data of heat users in real time, establish a heat load demand model in combination with meteorological data, and predict changes in heat demand in different time periods; perform unified initial heat source adjustments at the central heat source according to changes in heat demand, adjust the heat supply and water supply temperature of the heat source to achieve a dynamic balance between supply and demand; track the heat supply balance in real time, synchronize parameters between the heating station and the heat source, and between the heating stations; perform local operation adjustments on the primary side of the heating station according to the real-time monitored secondary network outlet parameters, and adjust local flow and temperature to achieve a dynamic balance.

[0012] As a preferred solution of the method for dynamic balance adjustment of the whole network of a heating system described in the present invention, wherein: the heating system parameters include the capacity, inertia, delay of the heating system, and the geographical location and heating demand of the central heat source, the heating station, and the heat users;

[0013] The meteorological data includes outdoor temperature and humidity.

[0014] As a preferred solution of the method for dynamic balance adjustment of the whole network of a heating system described in the present invention, the heat load demand model includes building a basic heat load demand model, and the total heat load demand obtained is used for the deployment and resource allocation of the heating system:

[0015]

[0016] Where Q(t) is the total heat load demand at time t, Q base represents the minimum heat load requirement, Q weather (t) is the impact of meteorological factors on heat load, n is the total number of heat users, Q user,i (t) is the heat load demand of the ith heat user at time t;

[0017] By adjusting the heat source output to meet the user demand based on the change in heat load demand of heat users, the basic load is updated in the next period, and the updated basic load is input into the basic heat load demand model again to update the overall demand in real time.

[0018] As a preferred solution of the method for dynamic balance adjustment of the whole network of a heating system described in the present invention, the initial adjustment includes adjusting the heating capacity and water supply temperature of the heat source according to the change of outdoor temperature and the total load demand of the system at the heat source according to the change of heat demand, so as to match the total heat output with the heat demand of each user:

[0019] When the actual heat load demand of the heat user is greater than the sum of the predicted total heat load demand and 5% of the predicted heat demand, the heating capacity is increased and the water supply temperature is raised. When the outdoor temperature does not exceed 0 degrees, while raising the water supply temperature, the heat source output is increased by 20% until the set temperature is reached or greater than the set temperature;

[0020] When the actual heat load demand of the heat user is less than the difference between the predicted total heat load demand and 5% of the predicted heat demand, the heating capacity is reduced and the water supply temperature is lowered. When the outdoor temperature exceeds 25 degrees, while lowering the water supply temperature, the heat source output is reduced by 20% until it reaches the set appropriate range;

[0021] If the user thinks that there is overheating, he / she can manually adjust the valve on the user side to control the flow. The user side monitoring system will feed back the user's adjustment results to the heat source control center in real time, update and adjust the heat load demand model, and achieve a dynamic balance between supply and demand.

[0022] As a preferred solution of the method for dynamic balance adjustment of the whole network of a heating system described in the present invention, the parameter synchronization includes: adjusting after reaching the balance between supply and demand to achieve parameter synchronization between the heating station and the heat source, and between the heating stations, real-time monitoring of the outlet parameters of the heat source and the heating station including temperature and pressure, obtaining the current parameter value through the sensor, and calculating the difference value P between the outlet parameter of the heat source output and the outlet parameter of the heating station sync When the difference value is less than the set threshold, the system considers that the parameters have reached synchronization. When the difference value exceeds the set threshold, the system considers that the parameters are not synchronized and need to be adjusted.

[0023] Use a regulating valve to adjust the flow rate. When the temperature or pressure of the heat source is higher than that of the thermal power station, the valve opening degree is increased to increase the water supply inflow to the thermal power station; when the temperature or pressure of the thermal power station is higher than that of the heat source, the valve opening degree is reduced to reduce the water supply inflow.

[0024] As a preferred solution of the method for dynamic balance regulation of the whole network of a heating system described in the present invention, the opening degree includes that the opening degree OD of the regulating valve is regulated as follows:

[0025]

[0026] Among them, K v is the characteristic coefficient of the control valve, C v is the flow rate that can pass when the valve is open, K d is the adjustment coefficient of the valve to adapt to different flow states, K v ·P sync The flow rate of the regulating valve is calculated for the difference value used, and the valve opening degree is calculated by the regulating valve flow rate.

[0027] As a preferred solution of the method for dynamic balance adjustment of the whole network of a heating system described in the present invention, the local operation adjustment includes, when the parameter synchronization between the heating station and the heat source, and between the heating stations, reaches parameter synchronization, local operation adjustment is performed on the primary side of the heating station according to the real-time monitored secondary network outlet parameters to achieve hydraulic balance and thermal balance;

[0028] By monitoring the inlet flow rate and outlet flow rate of the thermal power station, when the difference between the inlet flow rate and the outlet flow rate is within the allowable error range (-0.5, 0.5), it is considered that hydraulic balance is achieved. When the difference does not fall within the allowable error range, it is considered that hydraulic balance is not achieved. The local water flow rate and pressure are adjusted, and the flow rate is dynamically adjusted using the flow difference, and the pressure is adjusted using the pump speed.

[0029] According to the heat transfer characteristics of different areas, the outlet water temperature and flow rate of the thermal power station are adjusted to achieve thermal balance.

[0030] Another object of the present invention is to provide a dynamic balance adjustment system for the entire heating system network, which aims to solve a series of technical problems such as heat demand prediction and supply and demand matching, heat source adjustment and energy efficiency optimization, system parameter synchronization and balance, local adjustment and dynamic balance, system stability and responsiveness, and energy consumption monitoring and energy-saving management. By real-time monitoring and collecting system parameters, user energy consumption data and meteorological data, the system can accurately predict changes in heat demand, make preliminary adjustments to heat source output in advance, optimize heat supply and water supply temperature, and ensure dynamic balance between supply and demand; at the same time, through parameter synchronization and local operation adjustment, heat distribution balance and user-side heating quality are achieved, the stability and responsiveness of the system are improved, and finally a stable, efficient and energy-saving operation effect is achieved, and operating costs are reduced.

[0031] As a preferred solution of the whole-network dynamic balance regulation system of a heating system described in the present invention, it is characterized by comprising a data acquisition module, a model building module, a heat source initial regulation module, a parameter synchronization module and a local operation regulation module;

[0032] The data acquisition module monitors and collects the operating parameters of the heating system, the energy consumption data of the heat users and the meteorological data in real time, and transmits the data to the model construction module;

[0033] The model building module receives data provided by the data acquisition module, builds and continuously updates the heat load demand model, predicts changes in heat demand in different time periods, and sends the model prediction results to the heat source initial adjustment module;

[0034] The heat source initial adjustment module receives the prediction results of the model building module, performs preliminary adjustment on the output of the central heat source according to the heat demand change predicted by the heat load demand model, adjusts the heat supply and water supply temperature of the heat source, and feeds back the adjustment results to the data monitoring and collection module, and sends them to the parameter synchronization module at the same time;

[0035] The parameter synchronization module receives the adjustment result of the heat source initial adjustment module, monitors and compares the outlet parameters of the heat source and the thermal power station through sensors, makes adjustments to achieve parameter synchronization between the thermal power station and the heat source, and between the thermal power stations, and sends the synchronization result to the local operation adjustment module;

[0036] The local operation adjustment module receives the synchronization result of the parameter synchronization module, monitors the import and export parameters of the thermal power station, and locally adjusts the flow and pressure on the primary side of the thermal power station according to the secondary network outlet parameters monitored in real time to ensure hydraulic balance and thermal balance, and feeds back the adjusted parameters to the data acquisition module to form a closed-loop control system.

[0037] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the method for dynamic balance adjustment of the entire network of a heating system are implemented.

[0038] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the method for dynamic balance adjustment of the entire network of a heating system are implemented.

[0039] Beneficial effects of the present invention: The present invention realizes accurate prediction of the operating status of the heating system and optimal allocation of resources through comprehensive data collection and the establishment of a heat load demand model, thereby improving the response speed and energy utilization efficiency of the system; ensuring that the heating system can flexibly respond to changes in user needs, thereby improving the overall quality of heating services.

[0040] The unified initial regulation of the central heat source and the synchronous adjustment of the thermal station parameters together constitute an efficient dynamic balance mechanism between supply and demand, which not only optimizes the heat supply and water supply temperature of the heat source, but also ensures the coordination between thermal stations through real-time monitoring and adjustment, improves the stability and reliability of the heating system, and meets the personalized needs of users.

[0041] Through the local operation adjustment of the primary side of the heating station, hydraulic balance and thermal balance are achieved, further improving the local adjustment ability and energy-saving effect of the heating system. Overall, the dynamic balance of the entire network of the heating system is achieved, providing users with a comfortable, energy-saving and environmentally friendly heating environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work, among which:

[0043] Figure 1 An overall flow chart of a method for dynamic balancing of a heating system network provided by an embodiment of the present invention.

[0044] Figure 2 A schematic diagram of a module of a dynamic balancing regulation system for a heating system network provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0046] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0047] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is mutually exclusive with other embodiments, either individually or selectively.

[0048] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0049] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0050] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0051] Example 1, reference Figure 1 , which is the first embodiment of the present invention, and provides a method for dynamic balance adjustment of the entire network of a heating system, comprising:

[0052] S1: Collect heating system parameters, monitor the energy consumption data of heat users in real time, establish a heat load demand model based on meteorological data, and predict changes in heat demand in different time periods.

[0053] Specifically, the heating system parameters include the heating system capacity, inertia, time delay, and the geographical location and heating demand of the central heat source, the heating station, and the heat users;

[0054] The meteorological data includes outdoor temperature and humidity.

[0055] Furthermore, a basic heat load demand model is constructed, and the total heat load demand is obtained for the deployment and resource allocation of the heating system:

[0056]

[0057] Where Q(t) is the total heat load demand at time t, Q base represents the minimum heat load requirement, Q weather (t) is the impact of meteorological factors on heat load, n is the total number of heat users, Q user,i(t) is the heat load demand of the ith heat user at time t:

[0058] Q user,i (t+1)=Q user,i (t)+α T ·(T out (t)-T set )+α H ·(H(t)-H set )+α E ·E t

[0059] Among them, Q user,i (t+1) is the heat load demand of the ith heat user at the predicted time t+1, Q user,i (t) is the heat load demand of the ith heat user at time t, α T , α H , α E are temperature influence coefficient, humidity influence coefficient, and energy consumption influence coefficient, respectively. out (t) is the outdoor temperature at time t, T set is the temperature expected by the heat user, H(t) is the external humidity at time t, H set is the set humidity value, E t Energy consumption data for the current time period;

[0060] According to the changes in the heat load demand of heat users, the output of the heat source is adjusted to meet the user's needs, and the basic load is updated in the next period:

[0061] Q base (t+1)=Q base (t)+δ(Q user,total (t)-Q base (t))

[0062] Among them, Q base (t+1) predicts the base load at time t+1, Q base (t) Base load at time t, Q user,total (t) The sum of all hot user demands at the current time t Among them, δ adjustment coefficient controls the response sensitivity of the base load to changes in user demand, 0<δ<1;

[0063] The updated base load is input again into the base heat load demand model to update the overall demand in real time.

[0064] S2: Perform unified initial heat source regulation at the central heat source according to changes in heat demand, adjust the heat supply and water supply temperature of the heat source to achieve a dynamic balance between supply and demand.

[0065] Furthermore, according to the change of heat demand, the heating capacity and water supply temperature of the heat source are adjusted at the heat source according to the change of outdoor temperature and the total load demand of the system, so that the total heat output matches the heat demand of each user:

[0066] When the actual heat load demand of the heat user is greater than the sum of the predicted total heat load demand and 5% of the predicted heat demand, the heating capacity is increased and the water supply temperature is raised. When the outdoor temperature does not exceed 0 degrees, while raising the water supply temperature, the heat source output is increased by 20% until the set temperature is reached or greater than the set temperature;

[0067] When the actual heat load demand of the heat user is less than the difference between the predicted total heat load demand and 5% of the predicted heat demand, the heating capacity is reduced and the water supply temperature is lowered. When the outdoor temperature exceeds 25 degrees, while lowering the water supply temperature, the heat source output is reduced by 20% until it reaches the set appropriate range;

[0068] If the user thinks it is overheated, he can manually adjust the user-side valve to control the flow. The user-side monitoring system will feed back the user's adjustment results to the heat source control center in real time to update and adjust the heat load demand model to achieve a dynamic balance between supply and demand.

[0069] S3: Real-time tracking of heat supply balance, and synchronization of parameters between heating stations and heat sources, and between heating stations.

[0070] Furthermore, after reaching the balance between supply and demand, adjustments are made to achieve parameter synchronization between the heat station and the heat source, and between the heat stations. The outlet parameters of the heat source and the heat station, including temperature and pressure, are monitored in real time. The current parameter values ​​are obtained through sensors, and the difference value P between the outlet parameters of the heat source output and the outlet parameters of the heat station is calculated. sync When the difference value is less than the set threshold, the system considers that the parameters have reached synchronization. When the difference value exceeds the set threshold, the system considers that the parameters are not synchronized and need to be adjusted.

[0071] Use a regulating valve to adjust the flow rate. When the temperature or pressure of the heat source is higher than that of the thermal power station, the valve opening degree is increased to increase the water supply inflow to the thermal power station; when the temperature or pressure of the thermal power station is higher than that of the heat source, the valve opening degree is reduced to reduce the water supply inflow.

[0072] It should be noted that the opening degree OD of the regulating valve is controlled as follows:

[0073]

[0074] Among them, K v is the characteristic coefficient of the control valve, C v is the flow rate that can pass when the valve is open, K d is the adjustment coefficient of the valve to adapt to different flow states, Kv ·P sync The flow rate of the regulating valve is calculated for the difference value used, and the valve opening degree is calculated by the regulating valve flow rate.

[0075] S4: On the primary side of the thermal power station, local operation adjustments are made according to the real-time monitored secondary network outlet parameters to adjust local flow and temperature to achieve dynamic balance.

[0076] Furthermore, when the parameters between the heat station and the heat source, and between the heat stations, are synchronized, local operation adjustment is performed on the primary side of the heat station according to the real-time monitored secondary network outlet parameters to achieve hydraulic balance and thermal balance;

[0077] By monitoring the inlet flow rate and outlet flow rate of the thermal power station, when the difference between the inlet flow rate and the outlet flow rate is within the allowable error range (-0.5, 0.5), it is considered that hydraulic balance is achieved. When the difference does not fall within the allowable error range, it is considered that hydraulic balance is not achieved, and local water flow and pressure are adjusted.

[0078] According to the heat transfer characteristics of different areas, the outlet water temperature and flow rate of the thermal power station are adjusted to achieve thermal balance, and the flow rate is dynamically adjusted using the flow rate difference:

[0079] F new =F current +k flow ΔF

[0080] Among them, F new The new flow value after adjustment, F current Current flow value, k flow The gain coefficient of flow adjustment, ΔF is the deviation between the inflow and outflow of water flow in the thermal power station;

[0081] Use pump speed to adjust pressure:

[0082] Pr pump,new =Pr pump,current +k p ·N

[0083] Among them, Pr pump,new Adjusted pump pressure, Pr pump,current Current pump pressure value, k p is the characteristic coefficient of the pump, N is the speed;

[0084] Adjust the outlet water temperature and flow rate of the thermal power station to achieve thermal balance:

[0085] τ out,new =τ out,current +δ·ΔHeat

[0086] F flow,new =Fflow,current +θ·ΔHeat

[0087] Among them, τ out,new Adjusted outlet water temperature, τ out,current The current outlet water temperature, δ and θ represent the sensitivity of temperature adjustment and flow adjustment respectively, ΔHeat is the inflow and outflow deviation of heat in the thermal power station, and F flow,new Adjusted water flow rate, F flow,current Current water flow rate.

[0088] Embodiment 2, the second embodiment of the present invention, is different from the first two embodiments in that:

[0089] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0090] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0091] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0092] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0093] Example 3, reference Figure 2 , which is the third embodiment of the present invention, and provides a heating system network-wide dynamic balance regulation system, including a data acquisition module 10, a model building module 20, a heat source initial regulation module 30, a parameter synchronization module 40 and a local operation regulation module 50;

[0094] The data acquisition module 10 monitors and collects the operating parameters of the heating system, the energy consumption data of the heat users and the meteorological data in real time, and transmits the data to the model construction module 20;

[0095] The model building module 20 receives the data provided by the data acquisition module 10, builds and continuously updates the heat load demand model, predicts the change of heat demand in different time periods, and sends the model prediction results to the heat source initial adjustment module 30;

[0096] The heat source initial adjustment module 30 receives the prediction result of the model building module 20, and performs preliminary adjustment on the output of the central heat source according to the change of heat demand predicted by the heat load demand model, adjusts the heat supply and water supply temperature of the heat source, and feeds back the adjustment result to the data acquisition module 10, and sends it to the parameter synchronization module 40 at the same time;

[0097] The parameter synchronization module 40 receives the adjustment result of the heat source initial adjustment module 30, monitors and compares the export parameters of the heat source and the thermal power station through sensors, makes adjustments to achieve parameter synchronization between the thermal power station and the heat source, and between the thermal power stations, and sends the synchronization result to the local operation adjustment module 50;

[0098] The local operation adjustment module 50 receives the synchronization result of the parameter synchronization module 40, monitors the import and export parameters of the thermal power station, and performs local adjustment of the flow and pressure on the primary side of the thermal power station according to the real-time monitored secondary network export parameters to ensure hydraulic balance and thermal balance, and feeds back the adjusted parameters to the data acquisition module 10 to form a closed-loop control system.

[0099] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for dynamic balance adjustment of the whole network of a heating system, characterized by: include, Collect heating system parameters, monitor energy consumption data of heat users in real time, establish a heat load demand model based on meteorological data, and predict changes in heat demand in different time periods; Perform unified initial heat source regulation at the central heat source according to changes in heat demand, adjust the heat supply and water supply temperature of the heat source, and achieve a dynamic balance between supply and demand; Track heat supply balance in real time and synchronize parameters between heating stations and heat sources, and between heating stations; On the primary side of the thermal power station, local operation adjustments are made based on the real-time monitored secondary network outlet parameters, and local flow and temperature adjustments are made to achieve dynamic balance.

2. A method for dynamic balance adjustment of the whole network of a heating system according to claim 1, characterized in that: The heating system parameters include heating system capacity, inertia, time delay, and the geographical location and heating demand of the central heat source, heating station, and heat users; The meteorological data includes outdoor temperature and humidity.

3. A method for dynamic balance adjustment of the whole network of a heating system according to claim 2, characterized in that: The heat load demand model includes constructing a basic heat load demand model, and obtaining the total heat load demand to adjust the heating system and allocate resources: Where Q(t) is the total heat load demand at time t, Q base represents the minimum heat load requirement, Q weather ( t ) is the impact of meteorological factors on heat load, n is the total number of heat users, Q user,i ( t ) is the heat load demand of the ith heat user at time t; By adjusting the heat source output to meet the user demand based on the change in heat load demand of heat users, the basic load is updated in the next period, and the updated basic load is input into the basic heat load demand model again to update the overall demand in real time.

4. A method for dynamic balance adjustment of the whole network of a heating system according to claim 3, characterized in that: The initial adjustment includes adjusting the heating capacity and water supply temperature of the heat source according to the change of outdoor temperature and the total load demand of the system at the heat source according to the change of heat demand, so as to match the total heat output with the heat demand of each user: When the actual heat load demand of the heat user is greater than the sum of the predicted total heat load demand and 5% of the predicted heat demand, the heating capacity is increased and the water supply temperature is raised. When the outdoor temperature does not exceed 0 degrees, while raising the water supply temperature, the heat source output is increased by 20% until the set temperature is reached or greater than the set temperature; When the actual heat load demand of the heat user is less than the difference between the predicted total heat load demand and 5% of the predicted heat demand, the heating capacity is reduced and the water supply temperature is lowered. When the outdoor temperature exceeds 25 degrees, while lowering the water supply temperature, the heat source output is reduced by 20% until it reaches the set appropriate range; If the user thinks that there is overheating, he can manually adjust the user-side valve to control the flow. The user-side monitoring system will feed back the user's adjustment results to the heat source control center in real time, update and adjust the heat load demand model, and achieve a dynamic balance between supply and demand.

5. A method for dynamic balance adjustment of the whole network of a heating system according to claim 4, characterized in that: The parameter synchronization includes adjusting after reaching the balance between supply and demand to achieve parameter synchronization between the heat station and the heat source, and between the heat stations, real-time monitoring of the outlet parameters of the heat source and the heat station, including temperature and pressure, obtaining the current parameter value through the sensor, and calculating the difference value P between the outlet parameter of the heat source output and the outlet parameter of the heat station. sync When the difference value is less than the set threshold, the system considers that the parameters have reached synchronization. When the difference value exceeds the set threshold, the system considers that the parameters are not synchronized and need to be adjusted. Use a regulating valve to adjust the flow rate. When the temperature or pressure of the heat source is higher than that of the thermal power station, the valve opening degree is increased to increase the water supply inflow to the thermal power station; when the temperature or pressure of the thermal power station is higher than that of the heat source, the valve opening degree is reduced to reduce the water supply inflow.

6. A method for dynamic balance adjustment of the whole network of a heating system according to claim 5, characterized in that: The opening degree includes that the opening degree OD of the regulating valve is regulated as follows: Among them, K v is the characteristic coefficient of the control valve, C v is the flow rate that can pass when the valve is open, K d is the adjustment coefficient of the valve to adapt to different flow states, K v ·P sync The flow rate of the regulating valve is calculated for the difference value used, and the valve opening degree is calculated by the regulating valve flow rate.

7. A method for dynamic balance adjustment of the whole network of a heating system according to claim 6, characterized in that: The local operation adjustment includes, when the parameter synchronization between the thermal power station and the heat source, and between the thermal power stations, reaches the parameter synchronization, local operation adjustment is performed on the primary side of the thermal power station according to the secondary network outlet parameters monitored in real time to achieve hydraulic balance and thermal balance; By monitoring the inlet flow rate and outlet flow rate of the thermal power station, when the difference between the inlet flow rate and the outlet flow rate is within the allowable error range (-0.5, 0.5), it is considered that hydraulic balance is achieved. When the difference does not fall within the allowable error range, it is considered that hydraulic balance is not achieved. The local water flow rate and pressure are adjusted, and the flow rate is dynamically adjusted using the flow difference, and the pressure is adjusted using the pump speed. According to the heat transfer characteristics of different areas, the outlet water temperature and flow rate of the thermal power station are adjusted to achieve thermal balance.

8. A system using a method for dynamic balance adjustment of a heating system network as claimed in any one of claims 1 to 7, characterized in that: It includes data acquisition module, model building module, heat source initial adjustment module, parameter synchronization module and local operation adjustment module; The data acquisition module monitors and collects the operating parameters of the heating system, the energy consumption data of the heat users and the meteorological data in real time, and transmits the data to the model construction module; The model building module receives data provided by the data acquisition module, builds and continuously updates the heat load demand model, predicts changes in heat demand in different time periods, and sends the model prediction results to the heat source initial adjustment module; The heat source initial adjustment module receives the prediction results of the model building module, performs preliminary adjustment on the output of the central heat source according to the heat demand change predicted by the heat load demand model, adjusts the heat supply and water supply temperature of the heat source, and feeds back the adjustment results to the data monitoring and collection module, and sends them to the parameter synchronization module at the same time; The parameter synchronization module receives the adjustment result of the heat source initial adjustment module, monitors and compares the outlet parameters of the heat source and the thermal power station through sensors, makes adjustments to achieve parameter synchronization between the thermal power station and the heat source, and between the thermal power stations, and sends the synchronization result to the local operation adjustment module; The local operation adjustment module receives the synchronization result of the parameter synchronization module, monitors the import and export parameters of the thermal power station, and locally adjusts the flow and pressure on the primary side of the thermal power station according to the secondary network outlet parameters monitored in real time to ensure hydraulic balance and thermal balance, and feeds back the adjusted parameters to the data acquisition module to form a closed-loop control system.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a method for dynamic balance adjustment of the entire network of a heating system as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for dynamic balance adjustment of the entire network of a heating system as described in any one of claims 1 to 7 are implemented.

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