Optimized scheduling method of heat supply pipe network based on fused salt heat storage

Abstract

The invention provides an optimal scheduling method for a heat supply pipe network based on fused salt heat storage, and belongs to the technical field of intelligent heat supply, and the method specifically comprises the steps: dividing a heat supply area of the heat supply pipe network according to heat supply adjustment areas of different fused salt heat storage devices, so as to obtain matching adjustment areas of the different fused salt heat storage devices, the fused salt heat storage devices, not running in the working interval, of the heat supply pipe network serve as problem heat storage devices, and when it is determined that adjustment of the heat supply pipe network needs to be carried out according to the number of the problem heat storage devices and the deviation values of the different problem heat storage devices and the working interval; and a scheduling strategy is generated by utilizing the deviation value between the problem heat storage device and the working interval and the heat supply requirements of different matched adjustment areas, so that the operation reliability of the heat supply pipe network is realized.

Description

Technical Field

[0001] The present invention belongs to the field of smart heating technology, and in particular relates to an optimization scheduling method for a heating pipeline network based on molten salt heat storage. Background Art

[0002] Molten salt thermal storage is a technology that uses the temperature difference of molten salt during the heating and cooling process to achieve thermal energy storage. Molten salt is an ionic melt composed of cations and anions, usually composed of inorganic salt melts, such as alkali metals, alkaline earth metal halides, nitrates, sulfates, etc. Molten salt thermal storage technology heats the molten salt energy storage system through high-temperature and high-pressure steam to store high-grade steam heat, or uses valley electricity to heat the molten salt energy storage system.

[0003] Due to problems such as hydraulic imbalance in the heating system, the heating supply in some heating areas may be excessive or insufficient at different times. Therefore, if the heating system cannot be adjusted by combining distributed molten salt devices in different heating areas, it will be impossible to improve the heating reliability of users while ensuring the heating energy consumption.

[0004] Based on the above technical problems, the present application provides an optimization scheduling method for a heating network based on molten salt heat storage. Summary of the invention

[0005] An optimization scheduling method for a heating network based on molten salt heat storage, characterized in that it specifically includes: The heating area of ​​the heating network is divided according to the heating regulation areas of different molten salt heat storage devices to obtain matching regulation areas of different molten salt heat storage devices; Based on historical heating data of different matching adjustment areas, determining heating deviation periods of different matching adjustment areas, and determining problematic adjustment areas in the matching adjustment areas based on heating deviation amounts of different heating deviation periods; Determine the working intervals of the molten salt heat storage devices in different problem adjustment areas based on the heat supply deviations in the heat supply shortage periods and heat supply surplus periods in the problem adjustment areas on different dates; when the molten salt heat storage devices operate within the working intervals, the heat supply of the problem adjustment areas is adjusted by the molten salt heat storage devices in the problem adjustment areas; The molten salt heat storage device that is not operating in the working interval is regarded as a problem heat storage device. When the need to adjust the heating network is determined by the number of problem heat storage devices and the deviation between different problem heat storage devices and the working interval, the scheduling strategy is generated using the deviation between the problem heat storage device and the working interval and the heating demand of different matching adjustment areas.

[0006] A further technical solution is that the heat supply regulation area of ​​the molten salt heat storage device is determined according to the heat supply area of ​​the heat supply network connected to the molten salt heat storage device.

[0007] A further technical solution is that the historical heating data includes the historical heating amount of the problem regulation area in different time periods.

[0008] A further technical solution is that when the heating amount of the problematic adjustment area in the time period is not within a preset heating amount range, the time period is determined to be a heating deviation time period.

[0009] A further technical solution is that a method for determining a problematic adjustment area in the matching adjustment area is as follows: Determine the deviation evaluation amount in different divided time intervals by the duration proportion of the heating deviation period in different divided time intervals and the heating deviation amount in different heating deviation periods; The comprehensive deviation evaluation amount of the matching adjustment area is determined by using the basic weight values ​​and deviation evaluation amounts of different divided time intervals, and the problem adjustment area in the matching adjustment area is determined according to the comprehensive deviation evaluation amount.

[0010] A further technical solution is that the basic weight value is determined according to the time interval between the divided time period and the current moment.

[0011] A further technical solution is that the method for determining the working range of the molten salt heat storage device in the problem adjustment area is: Determine the adjustment demand of the problem adjustment area on different dates through the duration ratio of the insufficient heating period and the heating deviation of the insufficient heating period, the duration ratio of the excess heating period and the heating deviation of the excess heating period in the problem adjustment area on different dates, and determine the adjustment demand date in the problem adjustment demand based on the adjustment demand; Based on the number of adjustment demand dates in different divided time periods and the adjustment demand amounts of the adjustment demand dates, the comprehensive adjustment demand amounts in different divided time periods are determined, and the adjustment demand assessment amount of the molten salt heat storage device is determined in combination with the basic weight values ​​of the different divided time periods, and the working range of the molten salt heat storage device is determined according to the adjustment demand assessment amount.

[0012] A further technical solution is that the method for generating the scheduling strategy is: The scheduling strategy is generated by using the deviation between the problem heat storage device and the working range and the heating demand of different matching adjustment areas. Determine the regulation requirements of different problematic heat storage devices by using the deviation between the problematic heat storage device and the working interval, and determine the regulation heating requirements of different matching regulation areas in combination with the heating requirements of different matching regulation areas; The scheduling strategy of the heating network is generated according to the regulation heating demand of different matching regulation areas.

[0013] On the other hand, an embodiment of the present application provides an optimization scheduling system for a heating network based on molten salt heat storage, which adopts the above-mentioned optimization scheduling method for a heating network based on molten salt heat storage, and is characterized in that it specifically includes: Area division module, problem area screening module, regulation control module, strategy output module; The area division module is responsible for dividing the heating area of ​​the heating network by the heating adjustment areas of different molten salt heat storage devices to obtain matching adjustment areas of different molten salt heat storage devices; The problem area screening module is responsible for determining the heating deviation periods of different matching adjustment areas based on the historical heating data of different matching adjustment areas, and determining the problem adjustment areas in the matching adjustment areas based on the heating deviation amounts of different heating deviation periods; The regulation control module is responsible for determining the working intervals of the molten salt heat storage devices in different problem regulation areas based on the heating deviations in the problem regulation areas during the heating shortage periods and the heating surplus periods on different dates. When the molten salt heat storage device operates within the working interval, the heating amount of the problem regulation area is regulated by the molten salt heat storage device in the problem regulation area. The strategy output module is responsible for treating the molten salt heat storage device that is not operating in the working interval as a problem heat storage device, and determining the need to adjust the heating network through the number of problem heat storage devices and the deviation between different problem heat storage devices and the working interval, and generating a scheduling strategy using the deviation between the problem heat storage device and the working interval and the heating demand of different matching adjustment areas.

[0014] On the other hand, a computer-readable storage medium is provided in an embodiment of the present application, on which a computer program is stored. When the computer program is executed in a computer, the computer is caused to execute the above-mentioned method for optimizing the scheduling of a heating network based on molten salt heat storage.

[0015] On the other hand, a computer program product is provided in an embodiment of the present application, characterized in that the computer program product stores instructions, and when the instructions are executed by a computer, the computer implements the above-mentioned method for optimizing the scheduling of a heating pipeline network based on molten salt heat storage.

[0016] The beneficial effects of the present invention are: 1. The problem adjustment areas in the matching adjustment areas are determined based on the heating deviation period and the heating deviation amount in different heating deviation periods, which realizes the screening of the problem adjustment areas with unbalanced supply and demand from the two perspectives of insufficient heating and excessive heating, and also lays the foundation for the targeted use of molten salt heat storage devices to improve the balance of supply and demand.

[0017] 2. The scheduling strategy is generated by utilizing the deviation between the problematic heat storage device and the working range and the heating demand of different matching adjustment areas. This not only takes into account the deviation that the working range of a single problematic heat storage device is difficult to meet the requirements, but also realizes an accurate assessment of the regulation demand of the heating network by further combining it with the heating demand of different matching adjustment areas in the heating network, thereby further improving the safety and reliability of heating. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 The present invention is a flow chart of an optimization scheduling method for a heating network based on molten salt heat storage.

[0020] Figure 2 is a flow chart of a method for determining a problem regulation area among matching regulation areas.

[0021] Figure 3 It is a flowchart of a method for generating a scheduling policy. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a method for optimizing the scheduling of a heating network based on molten salt heat storage is provided, which is characterized by specifically comprising: The heating area of ​​the heating network is divided according to the heating regulation areas of different molten salt heat storage devices to obtain matching regulation areas of different molten salt heat storage devices; Based on historical heating data of different matching adjustment areas, determining heating deviation periods of different matching adjustment areas, and determining problematic adjustment areas in the matching adjustment areas based on heating deviation amounts of different heating deviation periods; Determine the working intervals of the molten salt heat storage devices in different problem adjustment areas based on the heat supply deviations in the heat supply shortage periods and heat supply surplus periods in the problem adjustment areas on different dates; when the molten salt heat storage devices operate within the working intervals, the heat supply of the problem adjustment areas is adjusted by the molten salt heat storage devices in the problem adjustment areas; The molten salt heat storage device that is not operating in the working interval is regarded as a problem heat storage device. When the need to adjust the heating network is determined by the number of problem heat storage devices and the deviation between different problem heat storage devices and the working interval, the scheduling strategy is generated using the deviation between the problem heat storage device and the working interval and the heating demand of different matching adjustment areas.

[0024] Furthermore, the heat supply regulation area of ​​the molten salt heat storage device is determined according to the heat supply area of ​​the heat supply network connected to the molten salt heat storage device.

[0025] Specifically, the historical heating data includes the historical heating amount of the problem regulation area in different time periods.

[0026] It can be understood that when the heating amount of the problematic adjustment area in the time period is not within the preset heating amount range, the time period is determined to be a heating deviation time period.

[0027] It should be noted that if Figure 2 As shown, the method for determining the problem adjustment area in the matching adjustment area is: Determine the deviation evaluation amount in different divided time intervals by the duration proportion of the heating deviation period in different divided time intervals and the heating deviation amount in different heating deviation periods; The comprehensive deviation evaluation amount of the matching adjustment area is determined by using the basic weight values ​​and deviation evaluation amounts of different divided time intervals, and the problem adjustment area in the matching adjustment area is determined according to the comprehensive deviation evaluation amount.

[0028] Furthermore, the basic weight value is determined according to the time interval between the divided time period and the current moment.

[0029] It should be noted that determining whether the matching adjustment area does not belong to the problem adjustment area according to the duration ratio of the heating deviation period of the matching adjustment area specifically includes: When the proportion of the duration of the heating deviation period of the matching adjustment area is not greater than the lower limit of the preset proportion interval, it is determined that the matching adjustment area does not belong to the problem adjustment area; When the duration of the heating deviation period of the matching adjustment area is not less than the upper limit of the preset proportion interval, it is determined that the matching adjustment area belongs to the problem adjustment area.

[0030] In another possible embodiment, a method for determining the problematic adjustment area in the matching adjustment area is: Obtain the duration ratio of the heating deviation period of the matching adjustment area, and determine whether the duration ratio of the heating deviation period of the matching adjustment area is within a preset ratio interval. If so, proceed to the next step; if not, determine whether the matching adjustment area does not belong to the problem adjustment area through the duration ratio of the heating deviation period of the matching adjustment area; Determine whether there is a time period interval in the matching adjustment area whose duration ratio of the heating deviation period does not meet the requirement, if not, proceed to the next step, if yes, determine that the matching adjustment area belongs to the problem adjustment area; Determine the severe deviation period based on the heating deviation amount of the heating deviation period of the matching adjustment area, and judge whether there is a time period interval in which the duration ratio of the severe deviation period in the matching adjustment area does not meet the requirements. If not, proceed to the next step. If so, determine that the matching adjustment area belongs to the problem adjustment area; Obtain the duration ratio of the heating deviation period in different divided time intervals and the heating deviation amount of different heating deviation period, and determine the deviation evaluation amount in different divided time intervals in combination with the duration ratio of the serious deviation period in the divided time interval, and judge whether there is a divided time interval whose deviation evaluation amount does not meet the requirements, if so, determine that the matching adjustment area belongs to the problem adjustment area, if not, proceed to the next step; The comprehensive deviation evaluation amount of the matching adjustment area is determined by using the basic weight values ​​and deviation evaluation amounts of different divided time intervals, and the problem adjustment area in the matching adjustment area is determined according to the comprehensive deviation evaluation amount.

[0031] Furthermore, when the heating amount of the problematic deviation area in the time period is less than the lower limit value of the preset heating amount range, the time period is determined to be a time period of insufficient heating.

[0032] It can be understood that when the heating amount of the problematic deviation area in the time period is greater than the upper limit value of the preset heating amount range, the time period is determined to be a time period of excess heating.

[0033] It should be noted that the method for determining the working range of the molten salt heat storage device in the problem adjustment area is: Determine the adjustment demand of the problem adjustment area on different dates through the duration ratio of the insufficient heating period and the heating deviation of the insufficient heating period, the duration ratio of the excess heating period and the heating deviation of the excess heating period in the problem adjustment area on different dates, and determine the adjustment demand date in the problem adjustment demand based on the adjustment demand; Based on the number of adjustment demand dates in different divided time periods and the adjustment demand amounts of the adjustment demand dates, the comprehensive adjustment demand amounts in different divided time periods are determined, and the adjustment demand assessment amount of the molten salt heat storage device is determined in combination with the basic weight values ​​of the different divided time periods, and the working range of the molten salt heat storage device is determined according to the adjustment demand assessment amount.

[0034] Further, determining the working range of the molten salt heat storage device according to the adjustment demand assessment amount specifically includes: An interval adjustment factor is determined based on the adjustment demand assessment amount, and an operating interval of the molten salt heat storage device is determined using the interval adjustment factor and a reference operating interval of the molten salt energy storage device.

[0035] Specifically, the need to adjust the heating network is determined based on the number of problematic heat storage devices and the deviation between different problematic heat storage devices and the working range, specifically including: Determine the adjustment problem assessment amount of different problematic heat storage devices by using the deviation amount between different problematic heat storage devices and the working interval and the heating area of ​​the matching heating area of ​​the problematic heat storage device; The regulation problem assessment amounts of different problematic heat storage devices and the number of problematic heat storage devices are used to determine the pipe network regulation reliability of the heating pipe network, and based on the pipe network regulation reliability, it is determined whether the heating pipe network needs to be regulated.

[0036] In another possible embodiment, determining that the heating network needs to be adjusted based on the number of problematic heat storage devices and the deviation between different problematic heat storage devices and the working interval specifically includes: Determine whether the number of problematic heat storage devices in the heating network is greater than a preset number of problematic heat storage devices, if so, determine that the heating network needs to be adjusted, if not, proceed to the next step; Determine the adjustment problem assessment amount of different problem heat storage devices by the deviation amount between different problem heat storage devices and the working interval and the heating area of ​​the matching heating area of ​​the problem heat storage device, and judge whether the number of problem heat storage devices whose adjustment problem assessment amount does not meet the requirements is within the preset heat storage device interval, if so, proceed to the next step, if not, determine that the heating network needs to be adjusted; The problematic heat storage device whose adjustment problem evaluation amount does not meet the requirements is regarded as an adjustment defective heat storage device, and it is determined whether the sum of the adjustment problem evaluation amounts of the adjustment defective heat storage device meets the requirements, if so, proceed to the next step, if not, it is determined that the heating network needs to be adjusted; The regulation problem assessment amounts of different problematic heat storage devices and the number of problematic heat storage devices are used to determine the pipe network regulation reliability of the heating pipe network, and based on the pipe network regulation reliability, it is determined whether the heating pipe network needs to be regulated.

[0037] Specifically, Figure 3 As shown, the method for generating the scheduling strategy is: Determine the regulation requirements of different problematic heat storage devices by using the deviation between the problematic heat storage device and the working interval, and determine the regulation heating requirements of different matching regulation areas in combination with the heating requirements of different matching regulation areas; The scheduling strategy of the heating network is generated according to the regulation heating demand of different matching regulation areas.

[0038] Example 2 On the other hand, an embodiment of the present application provides an optimization scheduling system for a heating network based on molten salt heat storage, which adopts the above-mentioned optimization scheduling method for a heating network based on molten salt heat storage, and is characterized in that it specifically includes: Area division module, problem area screening module, regulation control module, strategy output module; The area division module is responsible for dividing the heating area of ​​the heating network by the heating adjustment areas of different molten salt heat storage devices to obtain matching adjustment areas of different molten salt heat storage devices; The problem area screening module is responsible for determining the heating deviation periods of different matching adjustment areas based on the historical heating data of different matching adjustment areas, and determining the problem adjustment areas in the matching adjustment areas based on the heating deviation amounts of different heating deviation periods; The regulation control module is responsible for determining the working intervals of the molten salt heat storage devices in different problem regulation areas based on the heating deviations in the problem regulation areas during the heating shortage periods and the heating surplus periods on different dates. When the molten salt heat storage device operates within the working interval, the heating amount of the problem regulation area is regulated by the molten salt heat storage device in the problem regulation area. The strategy output module is responsible for treating the molten salt heat storage device that is not operating in the working interval as a problem heat storage device, and determining the need to adjust the heating network through the number of problem heat storage devices and the deviation between different problem heat storage devices and the working interval, and generating a scheduling strategy using the deviation between the problem heat storage device and the working interval and the heating demand of different matching adjustment areas.

[0039] In another embodiment, a method for determining a problematic adjustment area in the matching adjustment area is: Determine whether there is a heating deviation period in the matching adjustment area, if yes, proceed to the next step, if no, determine that the matching adjustment area does not belong to the problem adjustment area; Obtain the duration ratio of the heating deviation period of the matching adjustment area, and determine whether the duration ratio of the heating deviation period of the matching adjustment area is within a preset ratio interval. If so, proceed to the next step; if not, determine whether the matching adjustment area does not belong to the problem adjustment area through the duration ratio of the heating deviation period of the matching adjustment area; Determine the severe deviation period based on the heating deviation amount of the heating deviation period of the matching adjustment area, and judge whether the matching adjustment area belongs to the problem adjustment area according to the duration ratio of the severe deviation period of the matching adjustment area, if not, proceed to the next step, if yes, determine that the matching adjustment area belongs to the problem adjustment area; Determine the deviation evaluation amount in different divided time intervals by the duration proportion of the heating deviation period in different divided time intervals and the heating deviation amount in different heating deviation period, and judge whether there is a divided time interval whose deviation evaluation amount does not meet the requirements. If so, determine that the matching adjustment area belongs to the problem adjustment area, if not, proceed to the next step; The comprehensive deviation evaluation amount of the matching adjustment area is determined by using the basic weight values ​​and deviation evaluation amounts of different divided time intervals, and the problem adjustment area in the matching adjustment area is determined according to the comprehensive deviation evaluation amount.

[0040] Example 3 On the other hand, a computer-readable storage medium is provided in an embodiment of the present application, on which a computer program is stored. When the computer program is executed in a computer, the computer is caused to execute the above-mentioned method for optimizing the scheduling of a heating network based on molten salt heat storage.

[0041] In another possible embodiment, the method for determining the working range of the molten salt heat storage device in the problem regulation area is: Determine the duration ratio of the deviation periods on different dates based on the duration ratio of the insufficient heating period and the duration ratio of the excess heating period in the problem regulation area on different dates, take the date whose duration ratio of the deviation period does not meet the requirements as the screening deviation date, and judge whether the number of screening deviation dates of the problem regulation area meets the requirements, if so, proceed to the next step, if not, determine the working interval of the molten salt heat storage device in the problem regulation area based on the preset working interval; Determine the adjustment demand of the problem adjustment area on different dates by the duration ratio of the insufficient heating period on different dates and the heating deviation of the insufficient heating period, the duration ratio of the excess heating period and the heating deviation of the excess heating period, and determine the adjustment demand date in the problem adjustment demand based on the adjustment demand, and judge whether the number of the adjustment demand dates is within the preset date number range, if yes, proceed to the next step, if not, determine the working range of the molten salt heat storage device in the problem adjustment area based on the preset working range; Determine the comprehensive regulation demand in different divided time periods based on the number of regulation demand dates in different divided time periods and the regulation demand on the regulation demand dates, and judge whether there is a divided time period in which the comprehensive regulation demand is greater than the preset demand. If so, determine the working interval of the molten salt heat storage device in the problem regulation area based on the preset working interval. If not, proceed to the next step. The adjustment demand assessment amount of the molten salt heat storage device is determined according to the basic weight values ​​of different divided time periods and the comprehensive adjustment demand, and the working range of the molten salt heat storage device is determined according to the adjustment demand assessment amount.

[0042] In another possible embodiment, the method for determining the working range of the molten salt heat storage device in the problem regulation area is: Determine the duration ratio of the deviation periods on different dates based on the duration ratio of the insufficient heating period and the duration ratio of the excess heating period in the problem regulation area on different dates, take the date whose duration ratio of the deviation period does not meet the requirements as the screening deviation date, and judge whether the number of screening deviation dates of the problem regulation area meets the requirements, if so, proceed to the next step, if not, determine the working interval of the molten salt heat storage device in the problem regulation area based on the preset working interval; Determine whether there is a divided time period interval in which the number of screening deviation dates is not within the preset date number interval, if not, proceed to the next step, if yes, determine the working interval of the molten salt heat storage device in the problem adjustment area based on the preset working interval; Determine the adjustment demand of the problem adjustment area on different dates by the duration ratio of the insufficient heating period on different dates and the heating deviation of the insufficient heating period, the duration ratio of the excess heating period and the heating deviation of the excess heating period, and determine the adjustment demand date in the problem adjustment demand based on the adjustment demand, and judge whether there is a divided time period interval in which the number of adjustment demand dates is not within the preset date number interval, if not, proceed to the next step, and if so, determine the working interval of the molten salt heat storage device in the problem adjustment area based on the preset working interval; Based on the number of adjustment demand dates in different divided time periods and the adjustment demand amounts of the adjustment demand dates, the comprehensive adjustment demand amounts in different divided time periods are determined; according to the basic weight values ​​of different divided time periods and the comprehensive adjustment demand amounts, the adjustment demand assessment amount of the molten salt heat storage device is determined; and according to the adjustment demand assessment amount, the working range of the molten salt heat storage device is determined.

[0043] Example 4 On the other hand, a computer program product is provided in an embodiment of the present application, characterized in that the computer program product stores instructions, and when the instructions are executed by a computer, the computer implements the above-mentioned method for optimizing the scheduling of a heating pipeline network based on molten salt heat storage.

[0044] The beneficial effects of the present invention are: 1. The problem adjustment areas in the matching adjustment areas are determined based on the heating deviation period and the heating deviation amount in different heating deviation periods, which realizes the screening of the problem adjustment areas with unbalanced supply and demand from the two perspectives of insufficient heating and excessive heating, and also lays the foundation for the targeted use of molten salt heat storage devices to improve the balance of supply and demand.

[0045] 2. The scheduling strategy is generated by utilizing the deviation between the problematic heat storage device and the working range and the heating demand of different matching adjustment areas. This not only takes into account the deviation that the working range of a single problematic heat storage device is difficult to meet the requirements, but also realizes an accurate assessment of the regulation demand of the heating network by further combining it with the heating demand of different matching adjustment areas in the heating network, thereby further improving the safety and reliability of heating.

[0046] In the embodiments of the present invention, the term "plurality" refers to two or more than two, unless otherwise clearly defined. The terms "installation", "connection", "fixation" and the like should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection. For those skilled in the art, the specific meanings of the above terms in the embodiments of the present invention can be understood according to the specific circumstances.

[0047] In the description of the embodiments of the present invention, it needs to be understood that the directions or positional relationships indicated by the terms "upper" and "lower" are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present invention and simplifying the description, rather than indicating or implying that the device or unit referred to must have a specific direction, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the embodiments of the present invention.

[0048] In the description of this specification, the description of the terms "one embodiment", "a preferred embodiment", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0049] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for optimizing the scheduling of a heating network based on molten salt heat storage, characterized in that: Specifically include: The heating area of ​​the heating network is divided according to the heating regulation areas of different molten salt heat storage devices to obtain matching regulation areas of different molten salt heat storage devices; Based on historical heating data of different matching adjustment areas, determining heating deviation periods of different matching adjustment areas, and determining problematic adjustment areas in the matching adjustment areas based on heating deviation amounts of different heating deviation periods; Determine the working intervals of the molten salt heat storage devices in different problem adjustment areas based on the heat supply deviations in the heat supply shortage periods and heat supply surplus periods in the problem adjustment areas on different dates; when the molten salt heat storage devices operate within the working intervals, the heat supply of the problem adjustment areas is adjusted by the molten salt heat storage devices in the problem adjustment areas; The molten salt heat storage device that is not operating in the working interval is regarded as a problem heat storage device. When the need to adjust the heating network is determined by the number of problem heat storage devices and the deviation between different problem heat storage devices and the working interval, the scheduling strategy is generated using the deviation between the problem heat storage device and the working interval and the heating demand of different matching adjustment areas.

2. The method for optimizing the scheduling of a heating network based on molten salt heat storage according to claim 1, characterized in that: The heat supply regulation area of ​​the molten salt heat storage device is determined according to the heat supply area of ​​the heat supply network connected to the molten salt heat storage device.

3. The method for optimizing the scheduling of a heating network based on molten salt heat storage according to claim 1, characterized in that: When the heating amount of the problematic adjustment area in the time period is not within the preset heating amount range, the time period is determined to be a heating deviation time period.

4. The method for optimizing the scheduling of a heating network based on molten salt heat storage according to claim 1, characterized in that: The historical heating data includes the historical heating amount of the problem regulation area in different time periods.

5. The method for optimizing the scheduling of a heating network based on molten salt heat storage according to claim 1, characterized in that: The method for determining the problem adjustment area in the matching adjustment area is: Determine the deviation evaluation amount in different divided time intervals by the duration proportion of the heating deviation period in different divided time intervals and the heating deviation amount in different heating deviation periods; The comprehensive deviation evaluation amount of the matching adjustment area is determined by using the basic weight values ​​and deviation evaluation amounts of different divided time intervals, and the problem adjustment area in the matching adjustment area is determined according to the comprehensive deviation evaluation amount.

6. The method for optimizing the scheduling of a heating network based on molten salt heat storage according to claim 5, characterized in that: The basic weight value is determined according to the time interval between the divided time period and the current moment.

7. The method for optimizing the scheduling of a heating network based on molten salt heat storage according to claim 1, characterized in that: The method for determining the working range of the molten salt heat storage device in the problem adjustment area is: Determine the adjustment demand of the problem adjustment area on different dates through the duration ratio of the insufficient heating period and the heating deviation of the insufficient heating period, the duration ratio of the excess heating period and the heating deviation of the excess heating period in the problem adjustment area on different dates, and determine the adjustment demand date in the problem adjustment demand based on the adjustment demand; Based on the number of adjustment demand dates in different divided time periods and the adjustment demand amounts of the adjustment demand dates, the comprehensive adjustment demand amounts in different divided time periods are determined, and the adjustment demand assessment amount of the molten salt heat storage device is determined in combination with the basic weight values ​​of the different divided time periods, and the working range of the molten salt heat storage device is determined according to the adjustment demand assessment amount.

8. The method for optimizing the scheduling of a heating network based on molten salt heat storage according to claim 7, characterized in that: Determining the working range of the molten salt heat storage device according to the adjustment demand assessment amount specifically includes: An interval adjustment factor is determined based on the adjustment demand assessment amount, and an operating interval of the molten salt heat storage device is determined using the interval adjustment factor and a reference operating interval of the molten salt energy storage device.

9. The method for optimizing the scheduling of a heating network based on molten salt heat storage according to claim 1, characterized in that: The need to adjust the heating network is determined by the number of problematic heat storage devices and the deviation between different problematic heat storage devices and the working range, including: Determine the adjustment problem assessment amount of different problematic heat storage devices through the deviation amount between different problematic heat storage devices and the working interval and the heating area of ​​the matching heating area of ​​the problematic heat storage device; The regulation problem assessment amounts of different problematic heat storage devices and the number of problematic heat storage devices are used to determine the pipe network regulation reliability of the heating pipe network, and based on the pipe network regulation reliability, it is determined whether the heating pipe network needs to be regulated.

10. An optimization scheduling system for a heating network based on molten salt heat storage, using an optimization scheduling method for a heating network based on molten salt heat storage according to any one of claims 1 to 9, characterized in that: Specifically include: Area division module, problem area screening module, regulation control module, strategy output module; The area division module is responsible for dividing the heating area of ​​the heating pipe network according to the heating adjustment areas of different molten salt heat storage devices to obtain matching adjustment areas of different molten salt heat storage devices; The problem area screening module is responsible for determining the heating deviation periods of different matching adjustment areas based on the historical heating data of different matching adjustment areas, and determining the problem adjustment areas in the matching adjustment areas based on the heating deviation amounts of different heating deviation periods; The regulation control module is responsible for determining the working intervals of the molten salt heat storage devices in different problem regulation areas based on the heating deviations in the problem regulation areas during the heating shortage periods and the heating surplus periods on different dates. When the molten salt heat storage device operates within the working interval, the heating amount of the problem regulation area is regulated by the molten salt heat storage device in the problem regulation area. The strategy output module is responsible for treating the molten salt heat storage device that is not operating in the working interval as a problem heat storage device, and determining the need to adjust the heating network through the number of problem heat storage devices and the deviation between different problem heat storage devices and the working interval, and generating a scheduling strategy using the deviation between the problem heat storage device and the working interval and the heating demand of different matching adjustment areas.

Images