A multi-user-based heat network scheduling method, system, device and storage medium

Abstract

A multi-user-based heat supply network scheduling method, system, device and storage medium, the heat supply network scheduling method comprising the following steps: obtaining a peak period and a target heat supply value of a current heat supply area; in a first period before the peak period, adjusting the heating medium output of the heat supply network unit to increase the work of the heating medium to the heat medium, increase the heat output, and obtain a heat storage increment on the basis that the heat medium of the heat supply network meets the target heat supply value; after entering the peak period, reducing the heating medium output of the heat supply network unit, using the heat storage increment to make up the heat output gap, and increasing the power generation of the heat supply network unit in the peak period when the heating medium output of the heat supply network unit is reduced. The application uses the thermal inertia of the heat supply network to improve the flexibility of the heat supply network unit, shifts the heat output of the heat supply network unit, realizes the "peak load shifting and valley filling" of the heat supply of the heat supply network unit, and can improve the peak regulation capacity of the heat supply network unit in the late peak period of electricity or the wind curtailment period at night.

Description

Technical Field

[0001] This invention relates to the field of dispatching and control technology for heating and power supply systems, and in particular to a method, system, device, and storage medium for multi-user-based heating network dispatching. Background Technology

[0002] The proportion of new energy sources in the power grid is gradually increasing, the power grid peak-shaving market is tight, and the demand for peak-valley adjustment is growing. In particular, the demand for electricity during peak hours is especially urgent for heating units while maintaining heating supply.

[0003] During the heating season, the "heat-driven power generation" operation mode of combined heat and power (CHP) units restricts their load regulation capabilities. To increase unit flexibility, it is necessary to weaken or even decouple the heat and electricity. Traditional "heat-power decoupling" measures involve significant investment, while the heating network has inherent "thermal inertia," allowing for the extraction of considerable unit regulation capacity with minimal economic cost. Therefore, it is particularly important to fully tap the load-carrying potential of units and improve their peak-load capacity while ensuring residential heating. Summary of the Invention

[0004] To address the challenge of improving the peak capacity of traditional combined heat and power (CHP) units during peak electricity demand periods through optimized thermal scheduling, this invention provides a multi-user-based heat network scheduling method, system, device, and storage medium. It leverages the thermal inertia of the heating system to enhance the flexibility of heat network units, shifts the heat output of these units, and achieves "peak shaving and valley filling" of the heat supply, thereby improving the peak-shaving capacity of heat network units during evening peak electricity demand periods.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a multi-user-based heat network scheduling method, comprising the following steps:

[0006] Obtain the peak hours and target heating values ​​for the current heating area;

[0007] In the first period before the peak hours, the output of the heating medium of the heating network unit is adjusted to increase the work done by the heating medium on the heat medium, thereby increasing the heat output and obtaining the heat storage increment based on the heat medium of the heating network meeting the target heating value.

[0008] After entering the peak period, reduce the output of heating medium of the heating network units and make up for the heat output gap by using the heat storage increment. When the output of heating medium of the heating network units decreases, increase the power generation of the heating network units during the peak period.

[0009] As a further improvement of the present invention, the scheduling method further includes:

[0010] In the second period before the peak period, obtain the real-time heating value of the heat medium at the heat exchange station furthest from the heating network unit within the heating area;

[0011] When the real-time heating value meets the target heating value and the predetermined heat storage increment, heat storage is completed, maintaining the steady-state operation of the heating network units and the heating network under the current operating conditions until the peak period begins.

[0012] As a further improvement of the present invention, the scheduling method further includes:

[0013] If the real-time heating value fails to meet the target heating value and the predetermined heat storage increment after entering the second period, it indicates that heat storage cannot be completed and the original operating condition that meets the target heating value will be restored.

[0014] As a further improvement of the present invention, the scheduling method further includes:

[0015] A heat storage increment calculation model is constructed, which is trained and generated based on the current heating area parameters, heating network unit parameters, and environmental parameters.

[0016] Input the environmental parameters of the day into the heat storage increment calculation model, and output the predetermined heat storage increment for the day;

[0017] The duration of the first period and the output of the heating medium of the heating network unit are determined according to the predetermined heat storage increment, so that the heating network completes heat storage when entering the second period.

[0018] As a further improvement of the present invention, the heat storage increment is the water supply temperature increment;

[0019] Before entering the peak period, the steam extraction of the heating network units is increased to improve the heat output of the heating network units, so that the temperature of the circulating water of the heating network rises on the basis of the target heating value, while other thermal parameters remain stable. The target heating value is the heating parameter that can meet the heating demand under normal operating conditions.

[0020] When entering the second phase, the water supply temperature of the heat medium at the furthest heat exchange station reaches the predetermined heat storage increment, indicating that heat storage is complete.

[0021] As a further improvement of the present invention, the target heating value is one or two of the heat medium temperature, heat supply, and other heating indicators of the heat exchange station.

[0022] As a further improvement of the present invention, the peak period, the first period, and the second period are consecutive periods, and the duration of the first period is greater than the duration of the peak period.

[0023] On the other hand, the present invention provides the following technical solution: a multi-user-based heat network scheduling system, which executes the above-described multi-user-based heat network scheduling method, including:

[0024] The monitoring module is used to acquire the heating parameters of the heat medium in the heating network and heat exchange station;

[0025] The heat storage increment calculation module is used to build a heat storage increment calculation model and determine the target heating value, and output the predetermined heat storage increment based on the environmental parameters of the day through the heat storage increment calculation model.

[0026] The heating network unit regulation module is used to adjust the steam extraction rate of the heating network unit based on the target heating value and the predetermined heat storage increment, so as to control the heat output and power output of the heating network unit. This allows heat storage to be completed in the first and second periods, and the heat storage increment to make up for the heat output gap during peak periods, thereby increasing power generation.

[0027] On the other hand, the present invention provides the following technical solution: a multi-user-based heat network scheduling device, including a memory and a processor, wherein the processor executes a multi-user-based heat network scheduling method as described above by calling a control program stored in the memory.

[0028] On the other hand, the present invention provides the following technical solution: a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor performs a multi-user-based heat network scheduling method as described above.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] This invention utilizes the thermal inertia of the heating network to enhance the flexibility of the heating network units, shifts the thermal output of the heating network units, and achieves "peak shaving and valley filling" of the heating supply of the heating network units, which can improve the peak shaving capacity of the heating network units during the evening peak of electricity supply or the nighttime wind curtailment period. Attached Figure Description

[0031] To more clearly illustrate the technical solution, the accompanying drawings used in the embodiments will be briefly introduced below. 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 effort.

[0032] Figure 1 This is a schematic diagram of the process of the present invention.

[0033] Figure 2 This is a schematic diagram comparing the planned and actual electrical output values ​​for an example. Detailed Implementation

[0034] In order to clearly and completely understand the technical solution, the present invention will be further described in conjunction with the embodiments and accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0036] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0037] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0038] This invention provides a multi-user-based heating network scheduling method that utilizes thermal inertia to enhance the flexibility of heating network units, shifts the heat output of these units, and achieves peak shaving and valley filling of the heating supply. This improves the peak-shaving capacity of heating network units during peak electricity demand or nighttime wind curtailment. Thermal inertia refers to the fact that the circulating water in the heating network has a certain heat capacity. When the heat source increases or decreases its heat supply, the temperature of the circulating water often needs a certain amount of time to rise or fall. This time difference provides favorable conditions for weakening the thermoelectric coupling relationship of the units.

[0039] like Figure 1 As shown, a multi-user-based heat network scheduling method includes the following steps:

[0040] The peak hours and target heating values ​​of the current heating area are obtained. The target heating value is one or two of the heat medium temperature, heat supply, and other heating indicators of the heat exchange station. In this embodiment, the water supply temperature is used as the target heating value for explanation.

[0041] In the first period before the peak hours, the output of the heating medium of the heating network unit is adjusted to increase the work done by the heating medium on the heat medium, thereby increasing the heat output and obtaining the heat storage increment based on the heat medium of the heating network meeting the target heating value.

[0042] After entering the peak period, reduce the output of heating medium of the heating network units and make up for the heat output gap by using the heat storage increment. When the output of heating medium of the heating network units decreases, increase the power generation of the heating network units during the peak period.

[0043] Through the above steps, the thermal inertia of the heating network (heating pipe network) is utilized to shift the heating load, enhance the peak capacity of the heating network units (coal-fired units or cogeneration units) during the evening peak hours, and make up for the heating gap by storing heat in advance and lowering the supply water temperature during the evening peak hours. Without affecting the user's heating experience, the maximum power generation capacity can be increased in the face of extremely cold weather, and the peak power generation output can be increased.

[0044] In this embodiment, the first time period is 8:00-17:00, the peak time period is 17:00-21:00, and the target heating value is a water supply temperature of 110℃. Obviously, the first time period, the peak time period, and the target heating value are defined according to the current heating area. This invention does not impose any restrictions on the specific values ​​of the peak time period and the target heating value.

[0045] In some embodiments, the peak period, the first period, and the second period are consecutive, and the duration of the first period is longer than the duration of the peak period. It should be noted that the duration of the first period depends on the size of the current heating area. It takes into account the time it takes for the supply water temperature of the current heating network units to reach the furthest heat exchange station. For example, when the heating network units raise the temperature of the circulating water by 5°C by adjusting the steam extraction rate, it takes approximately 7 hours for the supply water temperature to reach the furthest heat exchange station (i.e., it takes about 7 hours for the heating network circulating water to circulate once). Only then is the heat storage of the heating network considered complete. Some embodiments limiting the first period to be longer than the peak period are applicable to the dispatching of large-scale heating networks such as regional or urban areas.

[0046] This embodiment uses a power plant in a certain region as an example. The power plant has two 300MW extraction-condensing coal-fired steam turbine units in operation. During the heating season, the units always operate in extraction-condensing mode, using exhaust steam from the intermediate-pressure cylinder to heat the circulating water of the heating network. Unit #1 is equipped with one heating network heater, and Unit #2 is equipped with two parallel heating network heaters. The heaters of the two units are connected in parallel, and the extraction steam from the heating network of Units #1 and #2 can be interconnected. The power plant is the sole heat source for the regional heating network, covering a heating area of ​​7.3 million square meters, with a maximum heat supply of 1800 GJ / h. Near-end heat users are enterprises in the industrial park, while distant heat users are urban residents and enterprises.

[0047] Those skilled in the art will understand that reducing the output of the heating medium of the heating network unit, i.e., controlling the steam extraction rate of the heating network unit, can increase the power generation of the heating network unit. This embodiment does not impose any restrictions on the steam extraction rate of the heating network unit or its specific operation. Technicians can set it themselves according to actual usage needs, as long as it can achieve the goal of increasing the steam extraction rate of the heating network unit for heating the circulating water before entering peak hours and increasing power generation by reducing the steam extraction rate during peak hours. The following parameters can be used for control:

[0048] When increasing the steam extraction rate of the heating network units, the heating network temperature rise rate of both units should be <0.5℃ / min, and the heating temperature should be kept stable for 10 minutes for every 5℃ increase. A comprehensive check should be performed to ensure the operating parameters of the heating network units are normal. Control the outlet temperature of the heating network heater for Unit #2 to <125℃ and the heater temperature rise to <70℃; control the outlet temperature of the heating network heater for Unit #1 to <120℃ and the heater temperature rise to <65℃. The heating network water supply temperature must not exceed 120℃.

[0049] When reducing the steam extraction rate of the heating network units, the temperature drop rate of both units should be <0.5℃ / min, and the heating temperature should remain stable for 10 minutes for every 5℃ decrease. A comprehensive check should be conducted to ensure the operating parameters of the heating network units are normal. To ensure that the heating network water supply temperature decreases by 20℃ from its peak before 17:00, and the peak load of the units increases from 253MW to 270MW, the turbine regulating stage pressure should be controlled to <12.56Mpa, and the boiler evaporation rate to <1025t / h. During peak hours, the heating network units primarily adjust the electrical load, achieving unit speed reduction by decreasing the steam extraction rate.

[0050] For better understanding, in an optional embodiment, based on the above embodiments, the scheduling method further includes:

[0051] During the second period before the peak hours (16:00-17:00), obtain the real-time heating value of the heat medium at the heat exchange station furthest from the heating network unit within the heating area;

[0052] When the real-time heating value meets the target heating value and the predetermined heat storage increment, heat storage is completed, maintaining the steady-state operation of the heating network units and the heating network under the current operating conditions until the peak period begins.

[0053] If the real-time heating value fails to meet the target heating value and the predetermined heat storage increment after entering the second period, it indicates that heat storage cannot be completed and the original operating condition that meets the target heating value will be restored.

[0054] In this embodiment, the first time period is 8:00-16:00, and the second time period is 16:00-17:00, which is one hour before the peak period. It should be noted that the heating network has a wide coverage area and long pipeline transmission. In the actual scheduling process, when meeting the preset relevant indicators, the allowable difference range should be appropriately considered. For example, if the unit load is low during the daytime during the heat storage period and the purpose of heat storage cannot be achieved, the power grid should be contacted in time to apply for a load not lower than the set load value to ensure that the heat storage parameters are met. If the heating network water supply temperature changes, the heating network heat supply can be balanced by adjusting the heating network circulating water volume, and the daily average heating volume should be basically maintained without being affected. The heating network parameter adjustment control requirements should be strictly implemented. If the parameter changes abnormally, the operation should be suspended in time and the original operating state should be restored.

[0055] For better understanding, in an optional embodiment, the scheduling method further includes:

[0056] A heat storage increment calculation model is constructed, which is trained and generated based on the current heating area parameters, heating network unit parameters, and environmental parameters.

[0057] Input the environmental parameters of the day into the heat storage increment calculation model, and output the predetermined heat storage increment for the day;

[0058] The duration of the first period and the output of the heating medium of the heating network unit are determined according to the predetermined heat storage increment, so that the heating network completes heat storage when the second period begins;

[0059] The heat storage increment is the water supply temperature increment;

[0060] Before entering the peak period, the steam extraction of the heating network units is increased to improve the heat output of the heating network units, so that the temperature of the circulating water of the heating network rises on the basis of the target heating value, while other thermal parameters remain stable. The target heating value is the heating parameter that can meet the heating demand under normal operating conditions.

[0061] When entering the second phase, the water supply temperature of the heat medium at the furthest heat exchange station reaches the predetermined heat storage increment, indicating that heat storage is complete.

[0062] In this embodiment, the heat storage increment calculation model outputs the predetermined heat storage increment for the day based on the environmental parameters (temperature) of the day. It should be noted that this embodiment does not impose any limitations on the heat storage increment calculation model. Technical personnel can customize and set it according to actual usage needs, as long as the heat storage increment calculation model is trained and generated under the basic premise of not affecting the user's heating demand and the power grid balance.

[0063] If the temperature at the power plant location is -14℃ to -18℃ on that day, with a westerly wind of level 1, it is considered an extremely cold operating condition. Based on operational experience data, the required heating capacity under these conditions is 1800 GJ / h. The heat storage increment calculation model outputs a predetermined heat storage increment of 2℃. The primary network supply water temperature at the first station of the heating network remains stable at 110℃, the primary network return water temperature remains stable at around 50℃, and the supply water flow rate remains stable at around 7000 t / h. While meeting the user's heat demand, the steam extraction rate of the heating network units is increased to enhance the heating output, raising the target heating value (supply water temperature) from 110℃ to around 112℃, while other thermal parameters remain basically stable.

[0064] Monitoring was conducted at the furthest heat exchange station in the industrial park. Around 16:00 on the same day, the temperature rise of the supply water was transmitted to the furthest heat exchange station, marking the completion of heat storage in the pipeline system. Thereafter, the heating system (power plant units and heating network) maintained steady-state operation under the new operating conditions until 17:00.

[0065] This embodiment implements peak power regulation for the heating network units during the evening peak (17:00-21:00). By reducing the steam extraction rate of the heating network units, the primary network water supply temperature gradually decreases to 103℃, and the heating network circulating water flow rate decreases accordingly. The power output shortfall during this stage is made up by the increased heat storage during the heat storage stage (the heat storage capacity of the heating network). Due to the reduced steam extraction rate, the power generation of the heating network units increases accordingly, with the power output rising to 541 (=2×270.5) MW. Refer to the comparison table of actual and planned power output for the day in this embodiment. Figure 2 :

[0066]

[0067] above table and Figure 2 This document presents the planned and actual daily power output data for the heating network units in this embodiment. According to the grid dispatch plan, from 17:00 to 19:00 that evening, the heating network units needed to achieve peak output to reach the maximum power generation capacity approved by the Energy Regulatory Bureau for extremely cold weather, namely 506 (=2×253) MW. In this embodiment, by utilizing the thermal inertia of the heating network and shifting the heat of the circulating water, the power generation capacity was increased by reducing steam extraction during the evening peak electricity demand, resulting in a power output increase to 541 (=2×270.5) MW. This represents an increase of 35 MW in peak power output and a 5.8% increase in peak capacity.

[0068] In this embodiment, all the heat absorbed by the heating network water supply comes from the heat provided by the steam extracted from the heating network heaters. According to the calculation results, after 9 hours of heat storage from 8:00 AM to 5:00 PM, the additional heat stored is 830 GJ. During the heat release phase from 5:00 PM to 9:00 PM, the heat deficit is 626 GJ, which is made up by the additional heat stored during the heat storage process. Due to the extremely cold weather and the limitations imposed by the pipeline thermal stress safety requirements, the water supply temperature only increased by 2-3°C compared to the initial state, and the temperature drop during the heat release phase decreased by nearly 7°C compared to the initial state. Under these boundary conditions, the stored heat can support the heat release phase for approximately 3.8 hours.

[0069] This embodiment utilizes the thermal inertia of the heating network to shift the heating load and enhance the peak capacity of the heating network units during peak hours. By storing heat in advance and reducing the supply water temperature by 7°C during peak hours, the thermal inertia of the heating network is leveraged to make up for the heating gap. Without affecting the user's heating experience, the power output has increased from the maximum power generation capacity of 506MW approved by the Energy Regulatory Bureau for extremely cold weather to 541MW, with a peak power output increase of 35MW and a peak capacity increase of 5.8%. The thermal inertia effect lasts for up to 3.8 hours.

[0070] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM), random access memory (RAM), magnetic disk, optical disk), and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0071] In embodiments of the present invention, a multi-user-based heating network scheduling system is also provided. This system is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated. This embodiment provides a multi-user-based heating network scheduling system that executes a multi-user-based heating network scheduling method as described above, including:

[0072] The monitoring module is used to acquire the heating parameters of the heat medium in the heating network and heat exchange station;

[0073] The heat storage increment calculation module is used to build a heat storage increment calculation model and determine the target heating value, and output the predetermined heat storage increment based on the environmental parameters of the day through the heat storage increment calculation model.

[0074] The heating network unit regulation module is used to adjust the steam extraction rate of the heating network unit based on the target heating value and the predetermined heat storage increment, so as to control the heat output and power output of the heating network unit. This allows heat storage to be completed in the first and second periods, and the heat storage increment to make up for the heat output gap during peak periods, thereby increasing power generation.

[0075] It should be noted that the above modules can be implemented by software or hardware. For the latter, they can be implemented in the following ways, but are not limited to: all the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0076] On the other hand, embodiments of the present invention also provide a multi-user-based heat network scheduling device, including a memory and a processor, wherein the processor executes a multi-user-based heat network scheduling method as described in one or more of the above embodiments by calling a control program stored in the memory.

[0077] Optionally, in this embodiment, the processor can be configured to perform the following steps via a control program:

[0078] Obtain the peak hours and target heating values ​​for the current heating area;

[0079] In the first period before the peak hours, the output of the heating medium of the heating network unit is adjusted to increase the work done by the heating medium on the heat medium, thereby increasing the heat output and obtaining the heat storage increment based on the heat medium of the heating network meeting the target heating value.

[0080] After entering the peak period, reduce the output of heating medium of the heating network units and make up for the heat output gap by using the heat storage increment. When the output of heating medium of the heating network units decreases, increase the power generation of the heating network units during the peak period.

[0081] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0082] Embodiments of the present invention also provide a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform a multi-user-based heat network scheduling method as described above.

[0083] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0084] Obtain the peak hours and target heating values ​​for the current heating area;

[0085] In the first period before the peak hours, the output of the heating medium of the heating network unit is adjusted to increase the work done by the heating medium on the heat medium, thereby increasing the heat output and obtaining the heat storage increment based on the heat medium of the heating network meeting the target heating value.

[0086] After entering the peak period, reduce the output of heating medium of the heating network units and make up for the heat output gap by using the heat storage increment. When the output of heating medium of the heating network units decreases, increase the power generation of the heating network units during the peak period.

[0087] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0088] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0089] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of both. The software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor such that the processor can read and write information to / from the storage medium. In an alternative, the storage medium may be integrated into the processor. The processor and storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In an alternative, the processor and storage medium may reside as discrete components in the user terminal.

[0090] The above disclosures are merely one or more preferred embodiments of the present invention, intended to help understand the inventive concept of the technical solution, and are not intended to limit the present invention in any other way. Any other equivalent or conventional substitution schemes made by those skilled in the art based on the features defined by the present invention shall still fall within the scope of the present invention.

Claims

1. A multi-user-based heat network scheduling method, characterized in that, Includes the following steps: Obtain the peak hours and target heating values ​​for the current heating area; In the first period before the peak hours, the output of the heating medium of the heating network unit is adjusted to increase the work done by the heating medium on the heat medium, thereby increasing the heat output and obtaining the heat storage increment based on the heat medium of the heating network meeting the target heating value. After entering the peak period, reduce the output of heating medium of the heating network unit and make up for the heat output gap by using the heat storage increment. When the output of heating medium of the heating network unit decreases, increase the power generation of the heating network unit during the peak period. The scheduling method further includes: In the second period before the peak period, obtain the real-time heating value of the heat medium at the heat exchange station furthest from the heating network unit within the heating area; When the real-time heating value meets the target heating value and the predetermined heat storage increment, heat storage is completed, and the heating network units and the heating network maintain steady-state operation under the current operating conditions until the peak period begins. The scheduling method further includes: If the real-time heating value fails to meet the target heating value and the predetermined heat storage increment after entering the second period, it indicates that heat storage cannot be completed and the original operating condition that meets the target heating value will be restored. The scheduling method further includes: A heat storage increment calculation model is constructed, which is trained and generated based on the current heating area parameters, heating network unit parameters, and environmental parameters. Input the environmental parameters of the day into the heat storage increment calculation model, and output the predetermined heat storage increment for the day; The duration of the first period and the output of the heating medium of the heating network unit are determined according to the predetermined heat storage increment, so that the heating network completes heat storage when entering the second period.

2. The multi-user-based heat network scheduling method according to claim 1, characterized in that, The heat storage increment is the water supply temperature increment; Before entering the peak period, the steam extraction of the heating network units is increased to improve the heat output of the heating network units, so that the temperature of the circulating water of the heating network rises on the basis of the target heating value, while other thermal parameters remain stable. The target heating value is the heating parameter that can meet the heating demand under normal operating conditions. When entering the second phase, the water supply temperature of the heat medium at the furthest heat exchange station reaches the predetermined heat storage increment, indicating that heat storage is complete.

3. The multi-user-based heat network scheduling method according to claim 1, characterized in that, The target heating value is one or two of the heat medium temperature, heat supply, and other heating indicators of the heat exchange station.

4. The multi-user-based heat network scheduling method according to claim 1, characterized in that, The peak period, the first period, and the second period are consecutive periods, and the duration of the first period is greater than the duration of the peak period.

5. A multi-user-based heating network dispatching system, characterized in that, Performing a multi-user-based heat network scheduling method as described in any one of claims 1-4 includes: The monitoring module is used to acquire the heating parameters of the heat medium in the heating network and heat exchange station; The heat storage increment calculation module is used to build a heat storage increment calculation model and determine the target heating value, and output the predetermined heat storage increment based on the environmental parameters of the day through the heat storage increment calculation model; The heating network unit regulation module is used to adjust the steam extraction rate of the heating network unit based on the target heating value and the predetermined heat storage increment, so as to control the heat output and power output of the heating network unit. This allows heat storage to be completed in the first and second periods, and the heat storage increment to make up for the heat output gap during peak periods, thereby increasing power generation.

6. A multi-user-based heat network scheduling device, comprising a memory and a processor, characterized in that: The processor executes a multi-user-based heat network scheduling method as described in any one of claims 1-4 by calling the control program stored in the memory.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to perform a multi-user-based heat network scheduling method as described in any one of claims 1-4.

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