Heating station heat supply uniformity control method and system

Abstract

The invention discloses a heating station heat supply uniformity control method and system, and belongs to the technical field of heating ventilation air conditioning, and the method comprises the steps: building a heating station heat supply uniformity control model, uniformly setting an adjustment target of each heating station, and carrying out the independent adjustment; setting an adjustment time interval, limiting the valve adjustment amplitude during each adjustment, and carrying out uniform heat supply of the heating station by adopting an equal-looking double-stage strategy; according to the method, the hydraulic stability of each heating station is comprehensively evaluated, branches with poor stability are identified, and the influence on the flow of adjacent branches is reduced by adopting a multi-parameter and multi-model combined control strategy. Fine management of heat supply of the heating station is achieved, uniformity is ensured, environment changes are responded at the same time, and flexibility is improved; the system stability is enhanced, the energy consumption is reduced, and the personalized heat supply requirement is met; the hydraulic stability is comprehensively evaluated, multi-parameter model control is adopted, branch interference is effectively reduced, the system operation efficiency is improved, and intelligent heat supply adjustment and efficient utilization of energy are achieved.

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 controlling heating uniformity of a heating station. Background Art

[0002] In the field of heating in thermal power stations, the development of related technologies has gone through a process from simple manual adjustment to automatic control. In the early days, the heating regulation of thermal power stations mainly relied on manual experience, and the heating amount was controlled by manually adjusting the valves on the heating pipes. With the advancement of technology, automatic control systems based on algorithms such as PID control and fuzzy control have gradually emerged. These systems can improve the uniformity of heating to a certain extent. However, these systems still have certain limitations when dealing with complex and changeable heating environments.

[0003] The existing related technologies have the following deficiencies in controlling heating uniformity: First, the existing technologies often ignore the mutual influence between thermal power stations, which makes it difficult to minimize energy consumption and maximize system stability when allocating resources. Secondly, the existing technologies are relatively simple in controlling the time interval and valve adjustment range of heating regulation, and cannot be flexibly adjusted according to actual conditions, thus affecting heating uniformity. In addition, when evaluating hydraulic stability, the existing technologies often only consider a single parameter, making it difficult to fully identify branches with poor stability, which in turn affects the regulation effect of the entire heating system.

[0004] In view of the above-mentioned deficiencies, the present invention proposes a method for controlling the uniformity of heating in a thermal power station. By establishing a heating uniformity control model, the adjustment target of each thermal power station is uniformly set and adjusted separately. Based on the analysis of the deficiencies of the prior art, the method of the present invention fully considers the impact of outdoor temperature changes and changes in user-side heat demand on the uniformity of heating, and realizes real-time and dynamic adjustment of heating in the thermal power station. At the same time, by adopting a control strategy combining multiple parameters and multiple models, the impact of branches with poor stability on the flow of adjacent branches is effectively reduced, and the stability and uniformity of the entire heating system are improved. The implementation of the present invention is expected to bring new technological breakthroughs to the field of heating uniformity control in thermal power stations and achieve a more efficient and energy-saving heating effect. Summary of the invention

[0005] In view of the above existing problems, the purpose of the present invention is to solve the technical difficulties caused by outdoor temperature fluctuations and changes in user heat demand in the centralized heating system, namely, uneven heating and poor hydraulic stability. This method realizes the refined management of heating in the thermal power station by establishing a dynamic adjustment model, implementing a two-stage control strategy and optimizing resource allocation, and achieves the technical effects of timely responding to environmental changes, reducing energy consumption, improving system stability and ensuring uniform heating, thereby significantly improving the operating efficiency of the entire heating system and the heating quality on the user side.

[0006] In order to solve the above technical problems, a heating station heating uniformity control method is proposed, including:

[0007] A heating uniformity control model for thermal power stations is established, and the regulation targets for each thermal power station are uniformly set and adjusted separately. The regulation time interval is set, and the valve regulation range is limited during each adjustment. A wait-and-see two-stage strategy is adopted to ensure uniform heating of the thermal power stations. A comprehensive evaluation is conducted on the hydraulic stability of each thermal power station to identify branches with poor stability. A control strategy combining multiple parameters and multiple models is adopted to reduce the impact on the flow of adjacent branches.

[0008] As a preferred solution of the method for controlling the uniformity of heating supply in a thermal power station described in the present invention, the heating uniformity control model of the thermal power station includes collecting the supply and return water temperatures of the thermal power station and the average value of the supply and return water temperatures of the entire network, and calculating the deviation between the supply and return water temperatures of each thermal power station and the average value of the entire network;

[0009] When the outdoor temperature changes by more than 5°C within 1 hour or the user's heat demand is monitored to increase by more than 10% within 30 minutes, the heating station's heating uniformity control model automatically triggers the calculation of a new adjustment target to adjust the heating uniformity.

[0010] As a preferred solution of the method for controlling the uniformity of heating supply of a thermal power station described in the present invention, the adjustment target also includes, when each thermal power station calculates its own adjustment target, balancing the minimization of energy consumption and the maximization of system stability when allocating resources among multiple thermal power stations, and when the adjustment target of each thermal power station is set and the new adjustment target meets the balance condition, the adjustment targets of different thermal power stations are sent to each thermal power station for separate adjustment, and the time interval between two adjustments of each thermal power station is not less than 4 hours.

[0011] As a preferred solution of the method for controlling the uniformity of heating supply of a thermal power station described in the present invention, wherein: the limiting the valve adjustment range includes, when the thermal power station receives the adjustment target issued by the master control, each thermal power station sets the maximum value of the adjustment range of the adjustment valve of the station, and in each adjustment, the temperature adjustment amount calculated according to the adjustment target is converted into the valve adjustment amount, and it is ensured that the valve adjustment amount does not exceed the maximum value of the adjustment range, and in each adjustment, the valve adjustment range is limited within the maximum value of the adjustment range;

[0012] When the heating station is located in the central area of ​​the city, the heat supply and demand relationship is judged. When the heat supply exceeds the demand by 10%, the maximum value of the adjustment range is reduced by 0.1α, and the valve adjustment range is further limited; when the heat supply and demand fluctuation is within ±5%, the current state is maintained and the maximum value of the adjustment range is kept unchanged; when the demand exceeds the heat supply by 10%, the heat supply is increased, the maximum value of the adjustment range is increased by 0.1α, the valve opening is increased, and the water supply or heat supply is increased;

[0013] When the heating station belongs to a remote area, the relationship between heat supply and demand is judged. When the heat supply exceeds the demand by 15%, the maximum value of the adjustment range is reduced by 0.15α, and the valve adjustment range is further limited. When the heat supply and demand fluctuations are within ±7%, the current state is maintained and the maximum value of the adjustment range is kept unchanged. When the demand exceeds the heat supply by 15%, the heat supply is increased, the maximum value of the adjustment range is increased by 0.15α, the valve opening is increased, and the water supply or heat supply is increased, where α is the demand α for setting the oversupply or outage ratio adjusted according to environmental needs.

[0014] As a preferred solution of a method for controlling uniformity of heating supply in a thermal power station described in the present invention, the wait-and-watch dual-stage strategy includes adopting a dual-stage control strategy of the wait stage and the watch stage to perform uniform heating supply in the thermal power station. After one adjustment, the wait stage is performed to wait for the general control to issue a new adjustment target instruction, and then the watch stage is entered after the new adjustment instruction is issued to monitor the supply and return water temperature of each thermal power station and the overall heating effect of the system, record the temperature change after adjustment and the response time of the system, analyze the adjustment effect, and judge whether the expected heating uniformity is achieved;

[0015] When the observation stage is used, the fluctuation of the heating supply is fed back to the waiting stage, and the waiting stage adjusts the time interval of the waiting stage according to the feedback result: when within any 2-hour monitoring period, the average value of the absolute value of the difference between the actual heating supply of the thermal power station and the set heating supply exceeds the set heating supply by 10%, it is considered that the heating supply fluctuates greatly. At the beginning of the next cycle, the adjustment time interval is shortened to 2 hours; when within any 6-hour monitoring period, the average value of the absolute value of the difference between the actual heating supply of the thermal power station and the set heating supply is less than 5% of the set heating supply, it is considered that the heating supply is stable. At the beginning of the next cycle, the adjustment time interval is extended to 6 hours.

[0016] As a preferred solution of the method for controlling the uniformity of heating supply in a thermal power station described in the present invention, the comprehensive evaluation includes, when analyzing the adjustment effect and determining that there are branches that do not achieve the expected uniformity of heating supply, identifying the branches with poor stability and adopting a control strategy to reduce the impact on the flow of adjacent branches;

[0017] Collect the heating parameters of each branch including supply and return water temperature, flow rate, and pressure, and calculate the heating uniformity index of each branch to evaluate stability:

[0018]

[0019] Among them, HI j is the heating uniformity index of the jth branch, Q i is the flow of the jth branch, Q avg is the average flow rate of all branches, T out,j and T in,j are the supply and return water temperatures of the jth branch, T range is the maximum allowable range of the jth supply and return water temperature difference, T dev The maximum allowable range of supply and return water temperature deviation for the entire network;

[0020] When HI j <0.8, it is marked as a branch with uneven heating, and the heating parameters of the marked branch are analyzed.

[0021] As a preferred solution of the method for controlling the uniformity of heating supply in a thermal power station described in the present invention, the comprehensive evaluation further includes: after identifying a branch with poor stability, a control strategy combining multiple parameters and multiple models is adopted to reduce the impact on the flow of adjacent branches, collect real-time data of abnormal branches including flow, temperature, and pressure, use a correlation analysis algorithm to determine the degree of correlation between parameters, use historical data to train a neural network model, and use the trained model to predict the flow change trend of the abnormal branch within a specified time in the future;

[0022] Based on expert knowledge and historical experience of the system, fuzzy control rules are formulated, and the prediction results of the neural network model are used as input. The control action is output through the fuzzy reasoning system. According to the output of the fuzzy control model and the result of balancing the total flow of adjacent branches with the total demand of the system, the valve opening of the abnormal branch is adjusted, and the speed of the pump is adjusted to compensate for the energy demand of the abnormal branch until the parameter change achieves the expected effect.

[0023] Another object of the present invention is to provide a heating uniformity control system for a thermal power station, which aims to ensure heating uniformity and avoid overheating or overcooling in user areas; reduce energy waste and improve the energy efficiency of the system; maintain stable operation of the system and reduce fluctuations or failures caused by improper adjustment; improve the system's response speed and adjustment accuracy to environmental changes; adaptively adjust the adjustment strategy according to the characteristics of the thermal power station to adapt to different operating conditions; and identify and optimize branches with poor stability to reduce the impact on adjacent branches, thereby comprehensively improving the hydraulic stability of the heating system, achieving efficient, energy-saving and uniform heating, improving user experience, and reducing operating costs.

[0024] As a preferred solution of a heating station heating uniformity control system described in the present invention, it is characterized by comprising a model building module, a target determination module, a regulation module, and a comprehensive evaluation module;

[0025] The model building module builds a heating station heating uniformity control model, collects real-time data and calculates the supply and return water temperature deviation of each heating station, automatically triggers the model to calculate new adjustment targets according to outdoor temperature changes and user heating demand, and uses monitoring data and historical data to train a neural network model to predict branch flow changes;

[0026] The target determination module uses the control model to calculate the regulation target of each thermal power station, allocates resources according to the comprehensive evaluation index of energy consumption and system stability, ensures that the regulation target meets the preset constraints, and sends the regulation target to each thermal power station;

[0027] The regulating module receives the regulating target and converts it into the valve regulating amount, limits the valve regulating amplitude, adjusts the valve opening according to the location of the heating station and the heat supply and demand relationship, ensures that it does not exceed the set maximum value, and adjusts the valve opening according to the heat supply and demand relationship to ensure the uniformity of heating;

[0028] The comprehensive evaluation module monitors the supply and return water temperature of each thermal power station and the overall heating effect of the system after adjustment, analyzes the adjustment effect, and adjusts the adjustment time interval to cope with fluctuations in the heating amount, identifies branches with uneven heating, and adopts a control strategy combining multiple parameters and multiple models for adjustment, collects real-time data of abnormal branches, uses a neural network model to predict flow changes, and outputs control actions through a fuzzy reasoning system.

[0029] A computer device comprises 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 controlling heating uniformity of a thermal power station are implemented.

[0030] 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 controlling the uniformity of heating supply in a thermal power station are implemented.

[0031] The beneficial effects of the present invention are as follows: the present invention realizes refined management of heating supply of thermal power stations, and by calculating the deviation between the supply and return water temperature of each thermal power station and the average value of the whole network, it can monitor and adjust the heating status in real time; ensuring the uniformity of heating supply of the thermal power station and improving the comfort of users; secondly, by automatically triggering the calculation of new adjustment targets, timely responding to changes in outdoor temperature and changes in user-side heat demand, the flexibility and adaptability of heating are improved; finally, by balancing the minimization of energy consumption and the maximization of system stability when allocating resources among multiple thermal power stations, the economy and reliability of the heating system are achieved.

[0032] By limiting the valve adjustment range, system fluctuations caused by excessive adjustment are prevented, thereby improving system stability; the implementation of the dual-stage strategy makes heating regulation more precise, which can reduce unnecessary energy consumption while ensuring heating uniformity; in addition, the maximum value of the adjustment range is adjusted according to the different locations of the thermal power stations, further optimizing the heating strategy, adapting to the heating needs of different regions, and improving the personalized service level of heating.

[0033] By comprehensively evaluating hydraulic stability, potential problems in the heating system can be discovered and resolved in a timely manner, ensuring the continuity and stability of heating. By identifying branches with poor stability and adopting control strategies, the mutual interference between branches is effectively reduced, and the operating efficiency of the entire heating system is improved. By utilizing a control strategy that combines multiple parameters and multiple models, the intelligence level of the heating system is improved, making heating regulation more scientific and precise, and ultimately achieving optimized operation of the heating system and efficient use of energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] 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:

[0035] Figure 1 An overall flow chart of a method for controlling heating uniformity of a thermal power station provided in one embodiment of the present invention.

[0036] Figure 2 A schematic diagram of a module of a heating uniformity control system for a thermal power station provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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.

[0043] Example 1, reference Figure 1 , which is the first embodiment of the present invention, provides a method for controlling heating uniformity of a thermal power station, comprising:

[0044] The central heating system has the characteristics of large inertia, long time lag, and nonlinearity, and is a coupled multi-input and multi-output system. The heating system in the Shijiazhuang Huadian project is an indirect heat exchange type of heating network, and at this stage, the fee is charged according to the heating area. For the central heating system that adopts the area-based fee, the overall regulation goal of the heating network should be to eliminate horizontal thermal imbalance and achieve uniform heating of each heating station.

[0045] Since it is impossible to measure the room temperature of all heat users in real time, and the room temperature of individual users cannot represent the actual situation of the heat network, other implementation methods must be considered. After comprehensive analysis and discussion, it is concluded that for heat networks with similar room thermal characteristics and radiator designs, the load balance of each heat station in the coverage area and the balance of the entire network are guaranteed.

[0046] In this example, the whole network balance control method adopts a uniformity control strategy, and solves the problems of large inertia, long time lag, poor stability and strong hydraulic coupling of the heating network through the following measures.

[0047] S1: Establish a heating uniformity control model for the thermal power station, uniformly set the regulation target for each thermal power station and perform individual adjustments.

[0048] Specifically, set T in,i and T out,i are the supply and return water temperatures of the i-th thermal power station, and are the average values ​​of the supply and return water temperatures of the entire network respectively, and the deviation T between the supply and return water temperatures of each thermal power station and the average value of the entire network is calculated. e =e i +e' i :

[0049]

[0050] Among them, e i is the water supply temperature deviation, e' i is the return water temperature deviation; when the outdoor temperature changes by more than 5°C within 1 hour or the user-side heat demand is monitored to increase by more than 10% within 30 minutes, the heating uniformity control model of the thermal power station automatically triggers the calculation of a new adjustment target to adjust the uniformity of heating. The adjustment target of each thermal power station is:

[0051] T new,i =T current,i +ΔT adjust,i

[0052] Among them, T new,i represents the new adjustment target temperature of each thermal power station, T current,i Indicates the actual heating temperature of each thermal power station, ΔT adjust,i Indicates the temperature adjustment amount calculated based on the outdoor temperature change of each thermal power station and the heat demand change on the user side:

[0053] ΔT adjust,i =k1·ΔT outdoor +k2·ΔQ demand +k3·(T e -T current,i )

[0054] Among them, k1 and k2 are the adjustment coefficients of outdoor temperature change and user-side heat demand change, ΔT outdoor is the outdoor temperature change, ΔQ demand is the change in heat demand on the user side, k3 is used to adjust the

[0055] The adjustment coefficient between the supply and return water temperature of the thermal power station and the average temperature of the entire network, T current,i is the current supply and return water temperature of the i-th thermal power station.

[0056] Furthermore, when each thermal power station calculates its own regulation target, when allocating resources among multiple thermal power stations, the balance between minimizing energy consumption and maximizing system stability is achieved:

[0057]

[0058] The constraints are:

[0059]

[0060] Among them, E is the comprehensive evaluation index of energy consumption and system stability, P i is the heating power of the ith thermal power station, P opt,i is the optimal heating power of the ii-th thermal power station, T min and T max are the minimum and maximum allowable heating temperatures, Q i is the hot water flow rate of the i-th thermal power station, Q total is the total hot water flow, n is the number of thermal power stations;

[0061] When the regulation target of each thermal power station is set and the new regulation target meets the balance condition, the regulation targets of different thermal power stations will be sent to each thermal power station for individual adjustment, and the time interval between two adjustments of each thermal power station shall not be less than 4 hours.

[0062] S2: Set the adjustment time interval, limit the valve adjustment range during each adjustment, and adopt a wait-and-see dual-stage strategy to ensure uniform heating of the thermal power station.

[0063] Furthermore, when the thermal power station receives the regulation target issued by the master control, each thermal power station sets the maximum value ΔV of the regulation range of the regulating valve of the station. max , at each adjustment, the temperature adjustment amount ΔT calculated according to the adjustment target adjust,i , converted into valve adjustment amount ΔV i and ensure that the valve adjustment amount ΔV i No more than ΔV max , define ΔV i =min(ΔV max ,f(ΔT adjust,i )), at each adjustment, the valve adjustment range is limited to the maximum adjustment range ΔV max within;

[0064] When the heating station is located in the city center, the heat supply and demand relationship is judged. When the heat supply exceeds the demand by 10%, the maximum value of the adjustment range ΔV is reduced. max 0.1α of the valve, further limiting the valve adjustment range; when the heat supply and demand fluctuations are within ±5%, maintain the current state and keep the maximum value of the adjustment range unchanged; when the demand exceeds the heat supply by 10%, increase the heat supply and increase the maximum value of the adjustment range ΔV max 0.1α, increase the valve opening, increase the water supply or heat supply;

[0065] When the heating station is located in a remote area, the heat supply and demand relationship is judged. When the heat supply exceeds the demand by 15%, the maximum value of the adjustment range ΔV is reduced. max 0.15α of the valve, further limiting the valve adjustment range; when the heat supply and demand fluctuation is within ±7%, maintain the current state and keep the maximum value of the adjustment range unchanged; when the demand exceeds the heat supply by 15%, increase the heat supply and increase the maximum value of the adjustment range ΔV max 0.15α of , increasing the valve opening, increasing the water supply or heat supply, where α is the demand α for the oversupply or cut-off ratio adjusted according to environmental needs.

[0066] It should be noted that the dual-stage control strategy of the waiting stage and the watching stage is adopted to achieve uniform heating of the thermal power station. After one adjustment, the waiting stage is carried out to wait for the general control to issue a new adjustment target instruction. When the new adjustment instruction is issued, the watching stage is entered to monitor the supply and return water temperature of each thermal power station and the overall heating effect of the system, record the temperature change after adjustment and the response time of the system, analyze the adjustment effect, and judge whether the expected heating uniformity is achieved;

[0067] When the observation stage is used, the fluctuation of the heating supply is fed back to the waiting stage, and the waiting stage adjusts the time interval of the waiting stage according to the feedback result: when within any 2-hour monitoring period, the average value of the absolute value of the difference between the actual heating supply of the thermal power station and the set heating supply exceeds the set heating supply by 10%, it is considered that the heating supply fluctuates greatly. At the beginning of the next cycle, the adjustment time interval is shortened to 2 hours; when within any 6-hour monitoring period, the average value of the absolute value of the difference between the actual heating supply of the thermal power station and the set heating supply is less than 5% of the set heating supply, it is considered that the heating supply is stable. At the beginning of the next cycle, the adjustment time interval is extended to 6 hours.

[0068] S3: Comprehensively evaluate the hydraulic stability of each thermal power station, identify branches with poor stability, and adopt a control strategy combining multiple parameters and multiple models to reduce the impact on the flow of adjacent branches.

[0069] The hydraulic stability of the heating system is generally poor. When the valve of a branch is adjusted, not only the flow of the branch changes, but also the flow of the adjacent branch. For some branches with poor stability, if single-loop closed-loop control is simply adopted without considering the stability, it is easy to cause oscillation.

[0070] Furthermore, when the regulation effect is analyzed and it is determined that there are branches that do not achieve the expected heating uniformity, the branches with poor stability are identified and control strategies are adopted to reduce the impact on the flow of adjacent branches;

[0071] Collect the heating parameters of each branch including supply and return water temperature, flow rate, and pressure, and calculate the heating uniformity index of each branch to evaluate stability:

[0072]

[0073] Among them, HI j is the heating uniformity index of the jth branch, Q i is the flow of the jth branch, Q avg is the average flow rate of all branches, T out,j and T in,j are the supply and return water temperatures of the jth branch, T range is the maximum allowable range of the jth supply and return water temperature difference, T dev The maximum allowable range of supply and return water temperature deviation for the entire network;

[0074] When HI j <0.8, it is marked as a branch with uneven heating, and the heating parameters of the marked branch are analyzed.

[0075] It should be noted that after identifying the branch with poor stability, a control strategy combining multiple parameters and multiple models is adopted to reduce the impact on the flow of adjacent branches, collect real-time data of abnormal branches including flow, temperature, and pressure, use correlation analysis algorithm to determine the degree of correlation between parameters, use historical data to train the neural network model, and use the trained model to predict the flow change trend of abnormal branches within a specified time in the future;

[0076] Based on expert knowledge and historical experience of the system, fuzzy control rules are formulated, and the prediction results of the neural network model are used as input. The control action is output through the fuzzy reasoning system. According to the output of the fuzzy control model and the result of balancing the total flow of adjacent branches with the total demand of the system, the valve opening of the abnormal branch is adjusted, and the speed of the pump is adjusted to compensate for the energy demand of the abnormal branch until the parameter change achieves the expected effect.

[0077] Embodiment 2, the second embodiment of the present invention, is different from the first two embodiments in that:

[0078] 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.

[0079] 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.

[0080] 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.

[0081] 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.

[0082] Example 3, reference Figure 2 , which is the third embodiment of the present invention, and provides a heating station heating uniformity control system, including a model building module 10, a target determination module 20, an adjustment module 30, and a comprehensive evaluation module 40;

[0083] The model building module 10 builds a heating station heating uniformity control model, collects real-time data and calculates the supply and return water temperature deviation of each heating station, automatically triggers the model to calculate new adjustment targets according to outdoor temperature changes and user heat demand, and uses monitoring data and historical data to train a neural network model to predict branch flow changes;

[0084] The target determination module 20 uses the control model to calculate the regulation target of each thermal power station, allocates resources according to the comprehensive evaluation index of energy consumption and system stability, ensures that the regulation target meets the preset constraints, and sends the regulation target to each thermal power station;

[0085] The regulating module 30 receives the regulating target and converts it into the valve regulating amount, limits the valve regulating amplitude, adjusts the valve opening according to the location of the heating station and the heat supply and demand relationship, ensures that it does not exceed the set maximum value, and adjusts the valve opening according to the heat supply and demand relationship to ensure the uniformity of heating;

[0086] After adjustment, the comprehensive evaluation module 40 monitors the supply and return water temperatures of each thermal power station and the overall heating effect of the system, analyzes the adjustment effect, and adjusts the adjustment time interval to cope with fluctuations in the heating amount, identifies branches with uneven heating, and adopts a control strategy combining multiple parameters and multiple models for adjustment, collects real-time data of abnormal branches, uses a neural network model to predict flow changes, and outputs control actions through a fuzzy reasoning system.

[0087] 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 controlling heating uniformity of a thermal power station, characterized in that: include, Establish a heating uniformity control model for heating stations, uniformly set the regulation target for each heating station and make separate adjustments; Set the adjustment time interval, limit the valve adjustment range at each adjustment, and adopt the wait-and-see dual-stage strategy to ensure uniform heating of the thermal power station; A comprehensive evaluation is conducted on the hydraulic stability of each thermal power station to identify branches with poor stability, and a control strategy combining multiple parameters and multiple models is adopted to reduce the impact on the flow of adjacent branches.

2. A method for controlling heating uniformity of a thermal power station according to claim 1, characterized in that: The heating uniformity control model of the heating station includes collecting the supply and return water temperatures of the heating station and the average value of the supply and return water temperatures of the entire network, and calculating the deviation between the supply and return water temperatures of each heating station and the average value of the entire network; When the outdoor temperature changes by more than 5°C within 1 hour or the user's heat demand is monitored to increase by more than 10% within 30 minutes, the heating station's heating uniformity control model automatically triggers the calculation of a new adjustment target to adjust the heating uniformity.

3. A method for controlling heating uniformity of a thermal power station according to claim 2, characterized in that: The regulation target also includes, after each thermal power station calculates its own regulation target, balancing the minimization of energy consumption and the maximization of system stability when allocating resources among multiple thermal power stations. When the regulation target of each thermal power station is set and the new regulation target meets the balance condition, the regulation targets of different thermal power stations are sent to each thermal power station for separate adjustment, and the time interval between two adjustments of each thermal power station is not less than 4 hours.

4. A method for controlling heating uniformity of a thermal power station as claimed in claim 3, characterized in that: The limiting valve adjustment range includes that, after the thermal power station receives the adjustment target issued by the master control, each thermal power station sets the maximum value of the adjustment range of the station's adjustment valve. During each adjustment, the temperature adjustment amount calculated according to the adjustment target is converted into the valve adjustment amount, and it is ensured that the valve adjustment amount does not exceed the maximum value of the adjustment range. During each adjustment, the valve adjustment range is limited to within the maximum value of the adjustment range. When the heating station is located in the central area of ​​the city, the heat supply and demand relationship is judged. When the heat supply exceeds the demand by 10%, the maximum value of the adjustment range is reduced by 0.1α, and the valve adjustment range is further limited; when the heat supply and demand fluctuation is within ±5%, the current state is maintained and the maximum value of the adjustment range is kept unchanged; when the demand exceeds the heat supply by 10%, the heat supply is increased, the maximum value of the adjustment range is increased by 0.1α, the valve opening is increased, and the water supply or heat supply is increased; When the heating station belongs to a remote area, the relationship between heat supply and demand is judged. When the heat supply exceeds the demand by 15%, the maximum value of the adjustment range is reduced by 0.15α, and the valve adjustment range is further limited. When the heat supply and demand fluctuations are within ±7%, the current state is maintained and the maximum value of the adjustment range is kept unchanged. When the demand exceeds the heat supply by 15%, the heat supply is increased, the maximum value of the adjustment range is increased by 0.15α, the valve opening is increased, and the water supply or heat supply is increased, where α is the demand α for setting the oversupply or outage ratio adjusted according to environmental needs.

5. A method for controlling heating uniformity of a thermal power station as claimed in claim 4, characterized in that: The wait-and-watch dual-stage strategy includes adopting a dual-stage control strategy of the wait stage and the watch stage to uniformly supply heat to the thermal power station. After one adjustment, the wait stage is performed to wait for the general control to issue a new adjustment target instruction. After the new adjustment instruction is issued, the watch stage is entered to monitor the supply and return water temperature of each thermal power station and the overall heating effect of the system, record the temperature change after adjustment and the response time of the system, analyze the adjustment effect, and judge whether the expected heating uniformity is achieved; When the observation stage is used, the fluctuation of the heating supply is fed back to the waiting stage, and the waiting stage adjusts the time interval of the waiting stage according to the feedback result: when within any 2-hour monitoring period, the average value of the absolute value of the difference between the actual heating supply of the thermal power station and the set heating supply exceeds the set heating supply by 10%, it is considered that the heating supply fluctuates greatly. At the beginning of the next cycle, the adjustment time interval is shortened to 2 hours; when within any 6-hour monitoring period, the average value of the absolute value of the difference between the actual heating supply of the thermal power station and the set heating supply is less than 5% of the set heating supply, it is considered that the heating supply is stable. At the beginning of the next cycle, the adjustment time interval is extended to 6 hours.

6. A method for controlling heating uniformity of a thermal power station as claimed in claim 5, characterized in that: The comprehensive evaluation includes, when analyzing the regulation effect and determining that there are branches that do not achieve the expected heating uniformity, identifying the branches with poor stability and adopting control strategies to reduce the impact on the flow of adjacent branches; Collect the heating parameters of each branch including supply and return water temperature, flow rate, and pressure, and calculate the heating uniformity index of each branch to evaluate stability: Among them, HI j is the heating uniformity index of the jth branch, Q i is the flow of the jth branch, Q avg is the average flow rate of all branches, T out,j and T in,j are the supply and return water temperatures of the jth branch, T range is the maximum allowable range of the jth supply and return water temperature difference, T dev The maximum allowable range of supply and return water temperature deviation for the entire network; When HI j <0.8, it is marked as a branch with uneven heating, and the heating parameters of the marked branch are analyzed.

7. A method for controlling heating uniformity of a thermal power station according to claim 6, characterized in that: The comprehensive evaluation also includes, when a branch with poor stability is identified, adopting a control strategy combining multiple parameters and multiple models to reduce the impact on the flow of adjacent branches, collecting real-time data of abnormal branches including flow, temperature, and pressure, using a correlation analysis algorithm to determine the degree of correlation between parameters, using historical data to train a neural network model, and using the trained model to predict the flow change trend of the abnormal branch within a specified time in the future; Based on expert knowledge and historical experience of the system, fuzzy control rules are formulated, and the prediction results of the neural network model are used as input. The control action is output through the fuzzy reasoning system. According to the output of the fuzzy control model and the result of balancing the total flow of adjacent branches with the total demand of the system, the valve opening of the abnormal branch is adjusted, and the speed of the pump is adjusted to compensate for the energy demand of the abnormal branch until the parameter change achieves the expected effect.

8. A system using a heating station heating uniformity control method as claimed in any one of claims 1 to 7, characterized in that: It includes model building module, target determination module, adjustment module and comprehensive evaluation module; The model building module builds a heating station heating uniformity control model, collects real-time data and calculates the supply and return water temperature deviation of each heating station, automatically triggers the model to calculate new adjustment targets according to outdoor temperature changes and user heating demand, and uses monitoring data and historical data to train a neural network model to predict branch flow changes; The target determination module uses the control model to calculate the regulation target of each thermal power station, allocates resources according to the comprehensive evaluation index of energy consumption and system stability, ensures that the regulation target meets the preset constraints, and sends the regulation target to each thermal power station; The regulating module receives the regulating target and converts it into the valve regulating amount, limits the valve regulating amplitude, adjusts the valve opening according to the location of the heating station and the heat supply and demand relationship, ensures that it does not exceed the set maximum value, and adjusts the valve opening according to the heat supply and demand relationship to ensure the uniformity of heating; The comprehensive evaluation module monitors the supply and return water temperature of each thermal power station and the overall heating effect of the system after adjustment, analyzes the adjustment effect, and adjusts the adjustment time interval to cope with fluctuations in the heating amount, identifies branches with uneven heating, and adopts a control strategy combining multiple parameters and multiple models for adjustment, collects real-time data of abnormal branches, uses a neural network model to predict flow changes, and outputs control actions through a fuzzy reasoning 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 controlling heating uniformity of a thermal power station according to 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 controlling heating uniformity of a thermal power station according to any one of claims 1 to 7 are implemented.

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