Multi-heat-source load distribution scheduling method and system considering pipe network splitting state

Abstract

The invention provides a multi-heat-source load distribution scheduling method and system considering a pipe network splitting state, and belongs to the technical field of load scheduling, and the method specifically comprises the steps: determining load scheduling processing schemes of other heat sources in a heat source simulation pipe network splitting state based on the coincidence condition of an optimal scheduling strategy of the heat sources and historical heat supply data, according to the load scheduling processing schemes of other heat sources in the heat source simulation pipe network splitting state, the load scheduling processing schemes of the other heat sources are calculated according to the overlapping condition of the current heat supply data and the optimal scheduling strategy of each heat source and the load scheduling data of the other heat sources in the simulation pipe network splitting state within the preset time; according to the method, the load distribution scheduling scheme of different heat sources under the current heat supply data is determined, accurate identification of the heat supply reliability in the splitting state is achieved, and a foundation is laid for further optimization and transformation treatment of the heat sources and a steam pipe network.

Description

Technical Field

[0001] This invention belongs to the field of load dispatching technology, and in particular relates to a multi-heat source load allocation and dispatching method and system that considers the disconnection status of the pipeline network. Background Technology

[0002] The pipeline disconnection state refers to the situation in a heating system where a portion of the pipeline network is physically disconnected from the main network due to a fault or scheduling needs, forming an independent operating subsystem. Therefore, when performing load distribution and scheduling for multiple heat sources, if the pipeline disconnection state is not considered, once the pipeline disconnection state occurs, some heat sources will be unable to effectively provide steam through the disconnected pipeline network, resulting in the overall heating reliability failing to meet requirements.

[0003] Therefore, it is crucial to develop a solution that accurately identifies the reliability of heating supply under different steam network disconnection conditions. This solution should be based on the impact of the steam network disconnection on the heat flow rate of the heat source and the heating status of the steam network.

[0004] To address the aforementioned technical problems, this application provides a multi-heat source load allocation and scheduling method and system that considers the disconnection status of the pipeline network. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a multi-heat source load allocation and scheduling method considering pipeline network disconnection status, which includes: S1 uses the pipeline disconnection data as a basis to determine the historical disconnection data of different steam pipelines, determines the disconnection risk type of the steam pipeline based on the historical disconnection data, and determines the optimal scheduling strategy of the heat source according to the impact of steam flow when the heat source is in the disconnection state of the steam pipeline with different disconnection risk types. S2 determines the load scheduling scheme for other heat sources under the simulated network disconnection state based on the overlap between the optimized scheduling strategy of the heat source and historical heating data. Based on the load scheduling scheme for other heat sources under the simulated network disconnection state, and considering the overlap with the optimized scheduling strategies of each heat source under the current heating data and the load scheduling data of other heat sources under the simulated network disconnection state within a preset time, S2 determines the load allocation scheduling scheme for different heat sources under the current heating data.

[0006] The beneficial effects of this invention are as follows: Based on the impact of steam flow on the heat source when the steam pipeline is in a disconnected state under different disconnection risk types, an optimized scheduling strategy for the heat source is determined. This strategy considers both the impact of the heat source's heating flow on the heat supply flow under different disconnection risk types of the steam pipeline and, further, incorporates the heating data of the steam pipeline. It also assesses the distribution data of time periods when the heating demand of the steam pipeline is low, thus enabling the determination of an optimized scheduling strategy for the heat source to simulate a disconnected pipeline during these periods. This approach avoids the technical problem of poor heating reliability for heat users caused by frequent optimization scheduling processes simulating a disconnected pipeline due to a large number of time periods with low heating demand. It also ensures the reliability of simulation processing for heat sources with higher disconnection risks, thereby accurately identifying the reliability of heating processing for heat sources in a disconnected pipeline state.

[0007] Based on the overlap of the optimized scheduling strategies of various heat sources under the current heating data and the load scheduling data of other heat sources under the simulated pipeline disconnection state within a preset time, the load allocation and scheduling scheme of different heat sources under the current heating data is determined. This not only takes into account the frequency of optimized scheduling processing of different heat sources under the simulated pipeline disconnection state within a preset time, but also takes into account the number of heat sources that need to be simulated to be disconnected under the current heating data. This avoids the technical problem of poor heating reliability caused by scheduling multiple heat sources under the simulated pipeline disconnection state at the same time.

[0008] Furthermore, the pipeline disconnection data includes the historical disconnection counts of the steam pipeline network.

[0009] Furthermore, the method for determining the risk type of the steam pipeline network disconnection is as follows: Based on the historical disconnection data, determine the number of historical disconnections of the steam pipeline network; The type of risk associated with the disconnection of the steam pipeline network is determined based on the historical number of disconnections.

[0010] Furthermore, the method for determining the load scheduling scheme for the other heat sources is as follows: Based on the overlap between the optimized scheduling strategy of the heat source and historical heating data, determine the load adjustment command data that satisfies the optimized scheduling strategy of the heat source; Based on the load scheduling instruction data that satisfies the optimized scheduling strategy of the heat source, perform the scheduling number corresponding to the load scheduling instruction that satisfies the optimized scheduling strategy of the heat source, and use it as the matching scheduling number. Based on the number of matching and scheduling attempts, a load scheduling solution for the other heat sources is determined.

[0011] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for multi-heat source load allocation and scheduling considering pipeline disconnection status when running the computer program.

[0012] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0013] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0014] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0015] Figure 1 This is a flowchart of a multi-heat source load allocation and scheduling method that considers the disconnection state of the pipeline network; Figure 2 This is a flowchart illustrating the method for determining the risk type of disconnection from the steam pipeline network; Figure 3 This is a flowchart illustrating the method for determining the optimal scheduling strategy for heat sources. Detailed Implementation

[0016] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0017] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0018] Example 1 like Figure 1 As shown, this application provides a multi-heat source load allocation and scheduling method considering pipeline network disconnection status, specifically including: S1 uses the pipeline disconnection data as a basis to determine the historical disconnection data of different steam pipelines, determines the disconnection risk type of the steam pipeline based on the historical disconnection data, and determines the optimal scheduling strategy of the heat source according to the impact of steam flow when the heat source is in the disconnection state of the steam pipeline with different disconnection risk types. S2 determines the load scheduling scheme for other heat sources under the simulated network disconnection state based on the overlap between the optimized scheduling strategy of the heat source and historical heating data. Based on the load scheduling scheme for other heat sources under the simulated network disconnection state, and considering the overlap with the optimized scheduling strategies of each heat source under the current heating data and the load scheduling data of other heat sources under the simulated network disconnection state within a preset time, S2 determines the load allocation scheduling scheme for different heat sources under the current heating data.

[0019] Furthermore, the pipeline network splitting data includes the historical splitting count of the steam pipeline network, wherein the steam pipeline network is divided based on steam heat users, specifically dividing steam pipelines used by the same steam heat user into the same steam pipeline network.

[0020] Furthermore, such as Figure 2 As shown, the method for determining the risk type of the steam pipeline network disconnection is as follows: Based on the historical disconnection data, determine the number of historical disconnections of the steam pipeline network; The type of risk associated with the disconnection of the steam pipeline network is determined based on the historical number of disconnections.

[0021] It is understood that the risk type of the steam pipeline network is determined based on the historical number of disconnections, specifically including: When the number of historical disconnections of the steam pipeline network exceeds a preset disconnection threshold, the disconnection risk type of the steam pipeline network is determined to be a preset risk type. When the number of historical disconnections of the steam pipeline network is not greater than the preset disconnection threshold, but a disconnection process exists in the history, the disconnection risk type of the steam pipeline network is determined to be another risk type. When the steam pipeline network does not have a disconnection process in the history, the disconnection risk type of the steam pipeline network is determined to be an operational reliability type.

[0022] In one possible embodiment, the preset number of unblocking attempts threshold is 3 times.

[0023] Specifically, the impact of the steam flow rate when the steam network is in the disconnection state is determined based on the proportion of the impact of the heat source on the steam flow rate when the steam network is in the disconnection state. Specifically, it is determined based on the ratio of the maximum heating steam flow rate of the heat source when the steam network is in the disconnection state to the maximum heating steam flow rate of the heat source.

[0024] Specifically, such as Figure 3 As shown, the method for determining the optimal scheduling strategy for the heat source is as follows: Based on the impact of the heat source on the steam flow rate when the steam pipeline network is in a state of de-listing under different de-listing risk types, determine the proportion of the impact of the heat source on the steam flow rate when the steam pipeline network is in a state of de-listing under different de-listing risk types. The impact of the heat source on the steam pipeline network is determined based on the aforementioned impact ratio. Based on the heat user data affecting the heating supply of the steam pipeline network and the risk types of disconnection affecting the steam pipeline network, an optimized scheduling strategy for the heat source is determined.

[0025] It should be noted that the steam pipe network affected by the heat source is a steam pipe network whose influence ratio does not meet the requirements. In one possible embodiment, a steam pipe network with an influence ratio greater than 1% is used as the steam pipe network affected by the heat source.

[0026] It is understandable that when the number of people affected by the steam pipeline meets the requirements, that is, when the number of people affected by the steam pipeline is small, then as long as the heat usage status of the heat users affected by the steam pipeline meets the requirements, the heat source will be optimized and scheduled after receiving the adjustment instruction of the heat load.

[0027] In one possible embodiment, when the number of heat users affecting the steam pipeline network is less than 4, as long as the heat consumption of the heat users affecting the steam pipeline network is within a preset heat consumption range, for example, less than the average heat consumption of the heat users affecting the steam pipeline network by a preset ratio, in one possible embodiment, the preset ratio is 0.5, then the heat consumption is relatively small, and therefore the heat source optimization scheduling process is performed.

[0028] Furthermore, when the number of heat users affecting the steam network does not meet the requirements, based on the heat user data of different heat users affecting the steam network, the historical heat consumption data of different heat users affecting the steam network are determined. When the number of heat users whose heat consumption status meets the requirements is less than the preset threshold for the number of steam networks, the number of heat users whose heat consumption status meets the requirements is less. Therefore, the number of heat users whose heat consumption status meets the requirements is less. In order to improve the reliability of the optimization scheduling process, as long as the heat user whose heat consumption status affects the steam network meets the requirements, the optimization scheduling process of the heat source is carried out after receiving the adjustment instruction of the heat source's heat load.

[0029] In one possible embodiment, if the number of steam pipelines affecting the heating network during periods when the heating status of heat users who are supplied with heat on different dates meets the requirements is less than 3, then as long as the heating status of the heat users affecting the heating network meets the requirements, the heat source optimization scheduling process will be carried out after receiving the adjustment instruction of the heat source's heating load.

[0030] Additionally, it can be understood that when the number of steam pipelines affecting the heating network that do not meet the requirements during the period when the heating status of the heat users meets the requirements is not less than the preset threshold for the number of steam pipelines, the risk type of the affected steam pipelines is determined. When the affected steam pipelines belong to the preset risk type of the affected network, as long as the heating status of the heat users affecting the steam pipelines meets the requirements, the heat source will be optimized and scheduled after receiving the adjustment instruction of the heating load of the heat source.

[0031] Furthermore, when the impact on the steam pipeline network does not belong to the preset risk relief type, it is determined whether the impact ratio of the steam pipeline network not belonging to the preset risk relief type is less than the impact ratio of the steam pipeline network of the preset risk relief type. If the impact ratio of the steam pipeline network not belonging to the preset risk relief type is less than the impact ratio of the steam pipeline network of the preset risk relief type, then only when the heating status of the heat users of the steam pipeline network affected by the preset risk relief type meets the requirements, after receiving the adjustment instruction of the heating load of the heat source, the heat source optimization scheduling process is carried out.

[0032] Furthermore, if the proportion of the steam pipeline affected by a risk that is not part of the preset risk relief type is not less than the proportion of the steam pipeline affected by the preset risk relief type, then the steam pipeline affected by a risk that is not less than the proportion of the steam pipeline affected by the preset risk relief type, and not part of the preset risk relief type, will be considered as a potential affected pipeline. If the heating status of the heat users supplied by the potential affected pipeline meets the requirements for a certain period of time, then as long as the heating status of the heat users supplied by the affected steam pipeline meets the requirements, upon receiving the adjustment instruction for the heating load of the heat source, the heat source optimization scheduling process will be carried out.

[0033] In one possible embodiment, if the heating status of heat users supplying heat to the potentially affected pipeline does not meet the requirements for a period of time on different dates, then it is determined that the heating status of heat users supplying heat to the potentially affected pipeline meets the requirements for a period of time.

[0034] Furthermore, the method for determining the load scheduling scheme for the other heat sources is as follows: Based on the overlap between the optimized scheduling strategy of the heat source and historical heating data, the load scheduling schemes for other heat sources under the simulated network disconnection state of the heat source are determined. Based on the overlap between the optimized scheduling strategy of the heat source and historical heating data, determine the load adjustment command data that satisfies the optimized scheduling strategy of the heat source; Based on the load scheduling instruction data that satisfies the optimized scheduling strategy of the heat source, perform the scheduling number corresponding to the load scheduling instruction that satisfies the optimized scheduling strategy of the heat source, and use it as the matching scheduling number. Based on the number of matching and scheduling attempts, a load scheduling solution for the other heat sources is determined.

[0035] It is understood that, based on the number of matching and scheduling attempts, the load scheduling scheme for the other heat sources is determined, specifically including: When the number of matching and scheduling operations meets the requirements, since the number of matching and scheduling operations is large, the load scheduling processing scheme for the other heat sources is determined as follows: when optimizing the scheduling of the heat sources, based on the steam pipeline network data that excludes the heat users who do not use the heat supply and whose heating status meets the requirements, it is determined whether it is necessary to perform joint load scheduling processing for other heat sources.

[0036] When the number of matching scheduling attempts does not meet the requirements, the load scheduling processing scheme for the other heat sources is determined to be that, when performing the optimized scheduling of the heat sources, the other heat sources need to undergo joint load scheduling processing.

[0037] In one possible embodiment, if the number of matching and scheduling times in the most recent month is greater than 10, it is determined that the number of matching and scheduling times meets the requirements. If, when optimizing the scheduling of the heat source, the number of steam pipelines that affect the heat usage status of heat users who do not use the heat supply is not less than 3, it is determined that joint load scheduling processing of other heat sources is required.

[0038] Furthermore, the method for determining the load allocation and scheduling scheme for different heat sources under the current heating data is as follows: Based on the overlap between the current heating data and the optimized scheduling strategies of each heat source, the heat sources that need to be optimized and scheduled are identified. Based on the load scheduling data of other heat sources under the simulated pipeline disconnection state within a preset time, perform the number of times of optimized scheduling processing for different heat sources within a preset time. Based on the load scheduling processing schemes of the other heat sources and the heat sources that need to be optimized, and the number of times different heat sources are optimized, the load allocation scheduling schemes of different heat sources are determined under the current heating data.

[0039] It is understandable that when the number of heat sources that need to be optimized and scheduled meets the requirements, that is, when the number of heat sources that need to be optimized and scheduled is less than the preset heat source number threshold, such as less than 3, then the load allocation and scheduling scheme of different heat sources under the current heating data is determined based on the load scheduling and scheduling scheme of the other heat sources and the heat sources that need to be optimized and scheduled.

[0040] Furthermore, when the number of heat sources requiring optimized scheduling is insufficient, the number of times each heat source requires optimized scheduling is further determined. If the number of times each heat source requires optimized scheduling meets the requirements (i.e., the number of times each heat source requires optimized scheduling is less than a preset scheduling threshold, such as less than 5 times), then the load allocation scheduling scheme for different heat sources under the current heating data is determined based on the load scheduling schemes of the other heat sources and the heat sources requiring optimized scheduling.

[0041] Furthermore, if the number of optimization scheduling processes for the heat sources requiring optimization scheduling is not uniformly sufficient, the risk type of the steam network corresponding to the heat sources requiring optimization scheduling is determined. If all heat sources requiring optimization scheduling have more than a preset number of steam networks with preset risk types, for example, if all heat sources requiring optimization scheduling have more than three preset risk types of steam networks, then in order to ensure the reliability of the simulated scheduling, the load allocation scheduling scheme for different heat sources under the current heating data is determined based on the load scheduling schemes of the other heat sources and the heat sources requiring optimization scheduling.

[0042] Furthermore, when there are more than a preset number of steam pipelines of preset risk types that require optimized scheduling, the load allocation scheduling scheme for different heat sources is determined based on the load scheduling schemes of the heat sources requiring optimized scheduling with fewer than a preset scheduling frequency threshold, as well as the other heat sources.

[0043] It is understood that, based on the load scheduling processing schemes of heat sources requiring optimized scheduling processing (where the number of optimized scheduling processing times is less than a preset threshold) and other heat sources, a load allocation scheduling scheme for different heat sources is determined under the current heating data. Specifically, this includes: Heat sources that require optimized scheduling processing if the number of optimized scheduling processing times is less than the preset scheduling processing time threshold are designated as heat sources that currently require optimized scheduling processing. Based on the heat sources that require optimized scheduling and the load scheduling schemes of the other heat sources, the heat sources that need load scheduling are determined, and a load allocation scheduling scheme is determined based on the heat sources that need load scheduling.

[0044] It should be noted that the load allocation and scheduling scheme is based on the steam demand of different heat users and uses a scheduling model based on particle swarm optimization algorithm to determine the heat supply of different heat sources.

[0045] Furthermore, the method for determining the load allocation and scheduling scheme for different heat sources under the current heating data is as follows: Based on the overlap between the current heating data and the optimized scheduling strategies of each heat source, the heat sources that need to be optimized and scheduled are identified. Based on the load scheduling data of other heat sources under the simulated pipeline disconnection state within a preset time, perform the number of times of optimized scheduling processing for different heat sources within a preset time. Based on the number of heat sources that require optimized scheduling and the number of times different heat sources need optimized scheduling, a load allocation scheduling scheme for different heat sources is determined under the current heating data.

[0046] It is understandable that when the number of heat sources that need to be optimized and scheduled meets the requirements, that is, when the number of heat sources that need to be optimized and scheduled is less than the preset heat source number threshold, such as less than 3, then the load allocation and scheduling scheme of different heat sources under the current heating data is determined based on the load scheduling and scheduling scheme of the other heat sources and the heat sources that need to be optimized and scheduled.

[0047] Furthermore, when the number of heat sources requiring optimized scheduling is insufficient, the load allocation and scheduling scheme for different heat sources under the current heating data is determined based on the load scheduling schemes of the heat sources requiring optimized scheduling whose number of optimized scheduling processes is less than the preset scheduling process threshold, as well as the other heat sources.

[0048] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described method for multi-heat source load allocation and scheduling considering pipeline disconnection status when running the computer program.

[0049] Optionally, the method for determining the optimal scheduling strategy for the heat source is as follows: Based on the impact of the heat source on the steam flow rate when the steam pipeline network is in a state of de-listing under different de-listing risk types, determine the proportion of the impact of the heat source on the steam flow rate when the steam pipeline network is in a state of de-listing under different de-listing risk types. Based on the aforementioned impact ratio, the impact of the heat source on the steam pipeline network is determined. Based on the heat user data affecting the steam pipeline network, the distribution data of the heat users whose heating status meets the requirements is obtained on different dates. Based on the distribution data, the dates of the heat users whose heating status meets the requirements are determined, and these dates are used as adjustment and matching dates. Based on the date data of the adjustment and matching of the heat source's impact on the steam pipeline network and the risk type of the disconnection affecting the steam pipeline network, an optimized scheduling strategy for the heat source is determined.

[0050] It is understandable that when the number of people affected by the steam pipeline meets the requirements, that is, when the number of people affected by the steam pipeline is small, then as long as the heat usage status of the heat users affected by the steam pipeline meets the requirements, the heat source will be optimized and scheduled after receiving the adjustment instruction of the heat load.

[0051] Furthermore, when the number of affected steam pipelines does not meet the requirements, or when the affected steam pipelines belong to a preset risk type for risk elimination, then as long as the heating status of the heat users affected by the steam pipelines meets the requirements, the heat source will be optimized and scheduled after receiving the adjustment instruction for the heating load of the heat source.

[0052] Additionally, it can be understood that when the impact on the steam pipeline network does not belong to the preset risk relief type, if the proportion of the number of adjustment matching dates affecting the steam pipeline network is less than the preset proportion threshold, then as long as the heating status of the heat users affecting the heating of the steam pipeline network meets the requirements, the heat source optimization scheduling process will be carried out after receiving the adjustment instruction of the heating load of the heat source.

[0053] It should be noted that the optimized scheduling of the heat source specifically includes: The steam network that does not use the heating supply is affected by the heat demand of the users who do not use the heating supply. The heat source is then dispatched according to the heat load of the users.

[0054] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments for apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0055] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0056] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A multi-heat source load allocation and scheduling method considering pipeline network disconnection status, characterized in that, Specifically, it includes: Based on the pipeline disconnection data, historical disconnection data for different steam pipelines are determined. Based on the historical disconnection data, the disconnection risk type of the steam pipeline is determined. According to the impact of steam flow on the heat source when the steam pipeline is in the disconnection state under different disconnection risk types, the optimal scheduling strategy of the heat source is determined. Based on the overlap between the optimized scheduling strategy of the heat source and historical heating data, the load scheduling scheme of other heat sources under the simulated network disconnection state is determined. According to the load scheduling scheme of other heat sources under the simulated network disconnection state, the overlap with the optimized scheduling strategy of each heat source under the current heating data and the load scheduling data of other heat sources under the simulated network disconnection state within a preset time period are used to determine the load allocation scheduling scheme of different heat sources under the current heating data.

2. The multi-heat source load allocation and scheduling method considering pipeline network disconnection status as described in claim 1, characterized in that, The pipeline disconnection data includes the historical disconnection counts of the steam pipeline network.

3. The multi-heat source load allocation and scheduling method considering pipeline network disconnection status as described in claim 1, characterized in that, The method for determining the risk type of the steam pipeline network disconnection is as follows: Based on the historical disconnection data, determine the number of historical disconnections of the steam pipeline network; The type of risk associated with the disconnection of the steam pipeline network is determined based on the historical number of disconnections.

4. The multi-heat source load allocation and scheduling method considering pipeline network disconnection status as described in claim 3, characterized in that, The risk type of the steam pipeline network is determined based on the historical number of disconnections, specifically including: When the number of historical disconnections of the steam pipeline network exceeds a preset disconnection threshold, the disconnection risk type of the steam pipeline network is determined to be a preset risk type. When the number of historical disconnections of the steam pipeline network is not greater than the preset disconnection threshold, but a disconnection process exists in the history, the disconnection risk type of the steam pipeline network is determined to be another risk type. When the steam pipeline network does not have a disconnection process in the history, the disconnection risk type of the steam pipeline network is determined to be an operational reliability type.

5. The multi-heat source load allocation and scheduling method considering pipeline network disconnection status as described in claim 4, characterized in that, The impact of the steam flow rate when the steam network is in the disconnection state is determined based on the proportion of the impact of the heat source on the steam flow rate when the steam network is in the disconnection state. Specifically, it is determined based on the ratio of the maximum heating steam flow rate of the heat source when the steam network is in the disconnection state to the maximum heating steam flow rate of the heat source.

6. The multi-heat source load allocation and scheduling method considering pipeline network disconnection status as described in claim 1, characterized in that, The method for determining the optimal scheduling strategy for the heat source is as follows: Based on the impact of the heat source on the steam flow rate when the steam pipeline network is in a state of de-listing under different de-listing risk types, determine the proportion of the impact of the heat source on the steam flow rate when the steam pipeline network is in a state of de-listing under different de-listing risk types. The impact of the heat source on the steam pipeline network is determined based on the aforementioned impact ratio. Based on the heat user data affecting the heating supply of the steam pipeline network and the risk types of disconnection affecting the steam pipeline network, an optimized scheduling strategy for the heat source is determined.

7. The multi-heat source load allocation and scheduling method considering pipeline network disconnection status as described in claim 6, characterized in that, The heat source's influence on the steam pipeline network refers to the steam pipeline network whose influence ratio does not meet the requirements.

8. The multi-heat source load allocation and scheduling method considering pipeline network disconnection status as described in claim 1, characterized in that, When the number of people affected by the steam pipeline network meets the requirements, then as long as the heat usage status of the heat users affecting the steam pipeline network meets the requirements, the heat source optimization scheduling process will be carried out after receiving the adjustment instruction of the heat source's heat load.

9. The multi-heat source load allocation and scheduling method considering pipeline network disconnection status as described in claim 1, characterized in that, The method for determining the load allocation and scheduling scheme for different heat sources under the current heating data is as follows: Based on the overlap between the current heating data and the optimized scheduling strategies of each heat source, the heat sources that need to be optimized and scheduled are identified. Based on the load scheduling data of other heat sources under the simulated pipeline disconnection state within a preset time, perform the number of times of optimized scheduling processing for different heat sources within a preset time. Based on the number of heat sources that require optimized scheduling and the number of times different heat sources need optimized scheduling, a load allocation scheduling scheme for different heat sources is determined under the current heating data.

10. A computer system, comprising: A memory and processor connected by communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a multi-heat source load allocation and scheduling method considering the pipeline network disconnection state as described in any one of claims 1-9.

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