Heat storage strategy adjustment processing method and system for thermoelectric unit

Abstract

The invention provides a heat storage strategy adjustment processing method and system for a thermoelectric unit, and belongs to the technical field of thermoelectric units, and the method specifically comprises the steps: taking the identification weather type as the basis, and combining the change conditions of the heat supply demand load under different identification weather types, performing an evaluation analysis strategy of the heat storage capacity of the heat supply pipe network under different weather types, and determining an available heat storage weather type in the identified weather types based on evaluation analysis results of the heat storage capacity of the heat supply pipe network under different identified weather types, according to the composition data of the available heat storage weather type and the evaluation analysis result of the heat storage capacity of the heat supply pipe network under different identification weather types, the thermoelectric decoupling control method of the thermoelectric unit is determined, and the adjustment flexibility of the heat storage device is improved.

Description

Technical Field

[0001] This invention belongs to the field of thermal power unit technology, and particularly relates to a method and system for regulating and processing the heat storage strategy of thermal power units. Background Technology

[0002] With the increasing heat supply of thermal power units, due to the operating characteristics of steam turbines, there is a certain coupling between the heat supply demand load and the power supply load of thermal power units, which affects the heat supply flexibility of the units to a certain extent.

[0003] To achieve thermoelectric decoupling control of thermal power units, the invention patent application CN202510683852.3, "A Molten Salt Energy Storage System for Thermoelectric Decoupling in Power Plants and Its Working Method," utilizes a molten salt energy storage system to store thermal energy, thereby addressing the need for thermoelectric decoupling control of thermal power units. However, it suffers from the following drawbacks: When molten salt energy storage systems frequently operate under high or low load conditions, their regulatory flexibility inevitably decreases. Therefore, assessing the heat storage capacity of heating networks under different weather conditions and utilizing the heating networks for heat storage in certain weather conditions to ensure the regulatory flexibility of molten salt energy storage systems becomes an urgent technical problem to be solved.

[0004] To address the aforementioned technical problems, this application provides a method and system for regulating and processing the heat storage strategy of a thermal power unit. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a method for regulating the heat storage strategy of a thermal power unit, which includes: S1 uses the usage data of the thermal power unit's thermal storage device as a basis to determine the operating data of the thermal power unit's thermal storage device in the target energy storage capacity range. Based on the operating data, when determining the need to conduct an assessment and analysis of the thermal storage capacity of the heating network, the identification weather type is determined based on the matching of heating demand load and power supply load under different weather types. Based on the identified weather types and combined with the changes in heating demand load under different identified weather types, S2 conducts an assessment and analysis strategy for the heat storage capacity of the heating network under different weather types. Based on the assessment and analysis results of the heat storage capacity of the heating network under different identified weather types, it determines the available heat storage weather types among the identified weather types. Based on the composition data of the available heat storage weather types and the assessment and analysis results of the heat storage capacity of the heating network under different identified weather types, it determines the thermoelectric decoupling control method for the thermal power unit.

[0006] The beneficial effects of this invention are as follows: Based on the matching of heating demand load and power supply load under different weather types, the identified weather types are determined, thereby enabling the screening of weather types with poor matching between heating demand load and power supply load. By evaluating the heat storage capacity of the heating network under the above weather types, it is ensured that the heating demand of heat users is met, and the adjustment flexibility of the heat storage device is improved by adjusting the heat storage method.

[0007] Based on the composition data of available heat storage weather types and the evaluation and analysis results of the heat storage capacity of the heating network under different identified weather types, the thermoelectric decoupling control method of the thermal power unit is determined. That is, taking into account the difference in the number of dates of available heat storage weather types, the impact of adjusting heat storage measures on the regulation flexibility of the molten salt heat storage system is considered. At the same time, taking into account the evaluation and analysis results of the heat storage capacity of the heating network under different identified weather types, the heat storage measures in the identified weather types with better heat storage capacity are dynamically adjusted, which further ensures the regulation flexibility of the molten salt heat storage system.

[0008] Furthermore, the usage data of the thermal storage device includes the time periods of the thermal storage device within different energy storage capacity ranges.

[0009] Furthermore, the operating data of the thermal power unit's thermal storage device within the target energy storage capacity range includes the time period of the thermal storage device during the target energy storage capacity period.

[0010] Furthermore, the target energy storage capacity range is a range in which heat storage and release can be reliably carried out. In one possible embodiment, the target energy storage capacity range is a range between 20% and 70% of the energy storage capacity.

[0011] Furthermore, it was determined that an assessment and analysis of the heat storage capacity of the heating network was necessary, specifically including: Based on the operating data of the thermal power unit's thermal storage device within the target energy storage capacity range, the time period within the target energy storage capacity range is determined and used as the target energy storage time period; The proportion of energy storage time on different dates is determined based on the proportion of the target energy storage period on different dates. Based on the proportion of energy storage time on different dates, determine whether an assessment and analysis of the heat storage capacity of the heating network is necessary.

[0012] Furthermore, the method for determining the thermoelectric decoupling control method of the thermal power unit is as follows: Based on the composition data of the available heat storage weather types, determine the percentage of the number of days of the available heat storage weather types in the most recent target period, and use it as the percentage of the number of available days; Based on the evaluation and analysis results of the heat storage capacity of the heating network under different identified weather types, the average heat loss rate of the heating network under different identified weather types is determined and used as the reference heat loss rate. Based on the proportion of available dates and the reference heat loss rate under different identified weather types, the thermoelectric decoupling control method of the thermal power unit is determined.

[0013] 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 regulating a thermal power unit's heat storage strategy when running the computer program.

[0014] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0015] 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

[0016] 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.

[0017] Figure 1 This is a flowchart of a heat storage strategy adjustment and processing method for thermal power units; Figure 2 It is a flowchart of the method for determining the assessment and analysis of the heat storage capacity of the heating network that needs to be carried out; Figure 3 This is a flowchart illustrating the method for determining weather types. Detailed Implementation

[0018] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0019] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a method for regulating the heat storage strategy of a thermal power unit is provided, specifically including: S1 uses the usage data of the thermal power unit's thermal storage device as a basis to determine the operating data of the thermal power unit's thermal storage device in the target energy storage capacity range. Based on the operating data, when determining the need to conduct an assessment and analysis of the thermal storage capacity of the heating network, the identification weather type is determined based on the matching of heating demand load and power supply load under different weather types. Based on the identified weather types and combined with the changes in heating demand load under different identified weather types, S2 conducts an assessment and analysis strategy for the heat storage capacity of the heating network under different weather types. Based on the assessment and analysis results of the heat storage capacity of the heating network under different identified weather types, it determines the available heat storage weather types among the identified weather types. Based on the composition data of the available heat storage weather types and the assessment and analysis results of the heat storage capacity of the heating network under different identified weather types, it determines the thermoelectric decoupling control method for the thermal power unit.

[0020] Furthermore, the usage data of the thermal storage device includes the time periods of the thermal storage device within different energy storage capacity ranges.

[0021] Furthermore, the operating data of the thermal power unit's thermal storage device within the target energy storage capacity range includes the time period of the thermal storage device during the target energy storage capacity period.

[0022] Furthermore, the target energy storage capacity range is a range in which heat storage and release can be reliably carried out. In one possible embodiment, the target energy storage capacity range is a range between 20% and 70% of the energy storage capacity.

[0023] Furthermore, such as Figure 2 As shown, the assessment and analysis of the heat storage capacity of the heating network is required, specifically including: Based on the operating data of the thermal power unit's thermal storage device within the target energy storage capacity range, the time period within the target energy storage capacity range is determined and used as the target energy storage time period; The proportion of energy storage time on different dates is determined based on the proportion of the target energy storage period on different dates. Based on the proportion of energy storage time on different dates, determine whether an assessment and analysis of the heat storage capacity of the heating network is necessary.

[0024] Understandably, the need for an assessment and analysis of the heating network's heat storage capacity is determined based on the proportion of energy storage time on different dates. This assessment includes: The average percentage is determined by averaging the percentage of energy storage duration on different dates; Based on the average percentage, it is determined whether an assessment and analysis of the heat storage capacity of the heating network is required.

[0025] It is understandable that when the average percentage is less than a preset threshold, such as 0.2, the thermal storage device is often in a period of poor energy storage regulation reliability. Therefore, it is necessary to conduct an assessment and analysis of the thermal storage capacity of the heating network, so that in some cases the thermal storage capacity of the heating network can be used for thermal storage treatment, thereby enhancing the energy storage regulation reliability of the thermal storage device.

[0026] Furthermore, the weather type is divided according to the outdoor temperature. Specifically, dates within the same outdoor temperature range are classified into the same weather type. The outdoor temperature range is divided into multiple outdoor temperature ranges at equal intervals based on the outdoor temperature range in the region.

[0027] Furthermore, such as Figure 3 As shown, the method for determining the weather type in the weather type identification is as follows: Based on the matching of heating demand load and power supply load under different weather types, the time periods when heating demand load and power supply load do not match under the aforementioned weather types are determined and regarded as matching deviation periods. Based on the constituent data of matching deviation periods on different dates within the weather type, it is determined whether the weather type is an identifiable weather type.

[0028] It is understood that, based on the constituent data of matching deviation periods on different dates within the aforementioned weather type, determining whether the weather type is a valid weather type specifically includes:

[0029] Based on the composition data of the matching deviation time periods in different dates of the weather type, it is determined whether there are matching deviation time periods in different dates of the weather type. If so, the excess heat can be stored in the heating network, and the weather type is thus identified as the weather type. If not, proceed to the next step. The dates with matching deviation periods in the weather type are taken as matching deviation dates. It is determined whether the proportion of matching deviation dates in the weather type is greater than a preset threshold for the proportion of deviation dates. If yes, proceed to the next step; otherwise, it is determined that the weather type does not belong to the weather type to be identified. Based on the duration percentage of the matching deviation period in different matching deviation dates, determine whether there are matching deviation dates whose duration percentage is greater than a preset duration percentage threshold. If so, determine that the weather type is the weather type to be identified; otherwise, proceed to the next step. The identification requirement factor is determined by the average of the proportion of the duration of the matching deviation period in different matching deviation dates and the proportion of the number of matching deviation dates in the weather type. Based on the identification requirement factor, it is determined whether the weather type is an identification weather type.

[0030] It is understood that when the identification demand factor of the weather type is greater than the preset demand factor threshold, the weather type is determined to be the weather type to be identified.

[0031] In the above steps, the first step is a general inspection. The judgment criteria are: under this weather type, is there a "matching deviation period" where heating and power supply are mismatched every day? If yes: this mismatch is an inherent and common characteristic of this type of weather. Immediately determine it as "weather type identification" and recommend starting the pipeline heat storage. If no: this indicates that the mismatch does not occur every day, and its severity needs further analysis. Proceed to the second step.

[0032] Step 2: Frequency check. Judgment criteria: Under this weather type, does the proportion of dates with mismatches (match deviation dates) exceed a preset threshold? If no: it indicates that the mismatch only occurs occasionally and the problem is not serious. It is judged as "non-identifiable weather type" and requires no special handling. If yes: it indicates that the mismatch occurs frequently and the problem deserves attention. Proceed to Step 3.

[0033] Step 3: Severity Check. The judgment criteria are: among the mismatched dates, are there any dates where the proportion of mismatched periods to the total duration of the day exceeds a preset threshold? Result: Yes: This indicates that there are individual dates with very serious mismatch issues. To avoid these severe cases, the condition is judged as "Identify Weather Type"; No: This indicates that although mismatches occur frequently, the duration of each mismatch is not too long. Proceed to Step 4 for a more refined comprehensive assessment.

[0034] Step 4: Comprehensive assessment, judgment criteria: Calculate a comprehensive index – “Identify Demand Factor”. This factor comprehensively considers the “frequency of mismatch occurrence” (the percentage of mismatch dates) and the “average severity of mismatch” (the average percentage of duration of all mismatch dates). Result: If this comprehensive factor exceeds a preset threshold, it is judged as “Identify Weather Type”. Specific Implementation Scenario setting: The operation data for 10 consecutive days under weather type A was collected. Preset thresholds: Preset deviation date number percentage threshold: 50%, preset duration percentage threshold: 30%, preset demand factor threshold: 0.4.

[0036] Data Analysis: Step 1 (Generality): We found that there were periods of mismatch between heating and electricity supply on 7 out of 10 days, and 3 days with a perfect match. Conclusion: This does not occur "every day," and the conditions for Step 1 are not met. Proceed to Step 2.

[0037] The second step (frequency) check: the percentage of dates with matching deviations = 7 / 10 = 70%, 70% > the threshold of 50%, then proceed to the third step.

[0038] The third step (severity check) involves analyzing the proportion of the mismatched time period to the total duration of the seven mismatched dates. Dates 3 and 6 show a "duration percentage" exceeding the threshold. Therefore, "Weather Type A" is directly identified as the weather type.

[0039] Furthermore, the method for determining the assessment and analysis strategy of the heat storage capacity of the heating network under the aforementioned weather type is as follows: After identifying the "weather types that require heat storage" (i.e., identifying weather types), specific heat storage operation strategies are further developed for these weather conditions.

[0040] The strategy is based on two factors: the frequency of this type of weather (assessed by the number of days with identified weather types and the percentage of identified days) and the fluctuation characteristics of the heating load under this type of weather (whether it is a "heating load variation type" or a "heating load stability type").

[0041] Based on these two criteria, the system can decide whether to adopt an "active heat storage strategy" or a "conservative heat storage strategy".

[0042] Based on the identified weather type, determine the number of days for the identified weather type; Based on the changes in heating demand load under different identified weather types, determine the type of change in heating demand load under said weather type. Based on the number of identified weather types and the variation patterns of heating demand load under different weather types, an assessment and analysis strategy is developed to determine the heat storage capacity of the heating network under those weather types.

[0043] It should be noted that the change type of heating demand load under the aforementioned weather type is determined based on the proportion of dates with load fluctuations under the aforementioned weather type. Specifically, if the proportion of dates with load fluctuations under the aforementioned weather type is greater than a preset threshold, then the change type of heating demand load under the aforementioned weather type is determined to be a heating load fluctuation type; otherwise, it is classified as a heating load stable type.

[0044] It is understood that the load variation period is the period in which the deviation rate of the average heating demand load at different times of the date is greater than a preset deviation rate threshold. Specifically, the period is divided into 1-hour units.

[0045] It is understood that, based on the number of days with identified weather types and the variation patterns of heating demand load under different weather types, the assessment and analysis strategy for determining the heat storage capacity of the heating network under those weather types specifically includes: The number of identified weather types is obtained, and it is determined whether the number of identified weather types is less than a preset weather type number threshold. If so, a preset strategy is adopted under different weather types to determine the evaluation and analysis strategy of the heat storage capacity of the heating network under the weather type. If not, proceed to the next step. Based on the number of days for different weather types, determine the percentage of days for all weather types in the most recent year and use it as the percentage of the number of identifications. Determine whether the percentage of the number of identifications is less than a preset percentage threshold. If so, adopt the preset strategy for different weather types to determine the evaluation and analysis strategy for the heat storage capacity of the heating network under the weather type. If not, proceed to the next step. Based on the variation type of heating demand load under the identified weather type, determine whether there is a weather type with a variation type of heating load. If yes, proceed to the next step. If no, adopt the second preset strategy under different weather types to determine the evaluation and analysis strategy of the heat storage capacity of the heating network under the weather type. If the number of weather types with varying heating loads exceeds a preset threshold, a preset strategy is adopted for each weather type to determine the assessment and analysis strategy for the heat storage capacity of the heating network under that weather type. If not, the assessment and analysis strategy for the heat storage capacity of the heating network under that weather type is determined based on the variation type of the heating demand load under that weather type.

[0046] Step 1: Rarity check (overall). Judgment criteria: Is the total number of "identified weather types" very small throughout the year (less than the preset threshold)? Yes: This indicates that weather patterns requiring special handling are rare. In this case, the impact of active heat storage on heating reliability is not high. To simplify management, the "preset strategy" (active heat storage) is uniformly adopted for all identified weather types. No: Proceed to Step 2.

[0047] Step 2: Rarity check (time percentage). Judgment criteria: whether the total number of days with all "weather types identified" is very low (less than the preset threshold) throughout the year.

[0048] Yes: This indicates that even if there are several types, their total number of days of occurrence is small, and their impact is limited. The same "pre-set strategy" (actively accumulating heat) will be uniformly adopted. No: Proceed to step three.

[0049] Step 3: Check for volatility. Judgment criteria: Among all the "identified weather types", are there any weather types that are classified as "heating load variation type"? If no: it means that the load of all weather that requires heat storage is very stable and the demand for energy storage regulation is low. The capacity range requirement can be relaxed and the "second preset strategy" (conservative heat storage) can be adopted uniformly. If yes: proceed to step 4.

[0050] Step 4: Check the prevalence of volatility. The judgment criteria are: Is the number of weather types categorized as "heating load fluctuation type" large (greater than the preset threshold)? If yes: This indicates that most weather loads requiring heat storage are unstable, and the reliability requirements for energy storage capacity range are high. Therefore, the "preset strategy" (active heat storage) should be uniformly adopted for all types. If no: This indicates that volatile weather is common and needs to be treated differently. Proceed to the final strategy allocation.

[0051] Final strategy allocation: For weather conditions of "heating load variation type", the "preset strategy" is adopted; for weather conditions of "heating load stability type", the "second preset strategy" is adopted.

[0052] It is understood that when the change type of the heating demand load of the weather type is the heating load change type, a preset strategy is adopted to determine the evaluation and analysis strategy of the heat storage capacity of the heating network under the weather type. When the change type of the heating demand load of the weather type is the heating load change type, a second preset strategy is adopted to determine the evaluation and analysis strategy of the heat storage capacity of the heating network under the weather type.

[0053] It should be noted that the first preset strategy is to directly supply the heating load to the heating network whenever there is excess heating load under the weather type, i.e., the heating load is greater than the heating demand load. The second preset strategy is to directly supply the heating load to the heating network when there is excess heating load under the weather type and the thermal storage device is not within the target energy storage capacity range.

[0054] Furthermore, the available heat storage weather type is the weather type in which the heat loss rate of the heating network meets the requirements. Specifically, the weather type in which the heat loss rate is less than the preset heat loss rate threshold is used as the available heat storage weather type.

[0055] Key concept definition: Heating load variation type: Under this weather type, most days (the percentage of dates > the preset threshold) have "load variation periods".

[0056] Load fluctuation period: refers to the period within a day when the deviation rate between the heating demand load for a specific hour and the average load for that day exceeds a preset threshold. This indicates that the load fluctuates greatly and the peak-to-valley difference is significant under such weather conditions.

[0057] Preset strategy (proactive strategy): As long as there is excess heat energy (heating load > heating demand load), it will be immediately injected into the pipeline network for heat storage. High priority.

[0058] The second pre-set strategy (conservative strategy): Excess heat energy is injected into the pipeline network only when there is surplus heat energy and the heat storage device has not yet reached its ideal heat storage capacity ("target energy storage capacity range"). This has a low priority. Specific Implementation Scenario setting: Analyzing data from a certain region over a year, three types of "weather types" requiring heat storage were identified: Type A: (Large load fluctuations), Type B: (Stable load), Type C: (Large load fluctuations).

[0060] Preset thresholds: Preset weather type quantity threshold: 2 types; Preset identification quantity percentage threshold: 15%; Preset variable weather type quantity threshold: 1 type. Data analysis: Step 1 check (number of types): The number of weather types identified = 3, which is less than the threshold of 2. If not met, proceed to step 2.

[0061] The second step is to check the percentage of total days: Assuming that these three types of weather occur a total of 80 days out of 365 days in a year, the percentage of identified days is 80 / 365 ≈ 21.9%. Since 21.9% is greater than the threshold of 15%, it does not meet the requirement, so proceed to the third step.

[0062] The third step is to check (whether there are fluctuation types): Type A: The percentage of dates with load fluctuation periods is very high -> Heating load fluctuation type; Type C: The load fluctuates drastically -> Heating load fluctuation type.

[0063] Conclusion: There are fluctuation types (A and C), proceed to step four.

[0064] Step 4 Check (Number of Fluctuation Types): The number of fluctuation types (heating load variation types) is 2, and 2 is not greater than the threshold of 3. Conclusion: Not met, therefore, it needs to be treated differently and proceed to the final strategy allocation.

[0065] Final strategy allocation: For Type A and Type C: adopt the "preset strategy". That is, in these weather conditions, as long as there is excess heat generated by power generation, it will be used immediately to store heat in the pipeline network, storing as much energy as possible to cope with the huge load fluctuations.

[0066] For Type B: The "second preset strategy" is adopted. That is, in this type of weather, excess heat energy is only stored when the thermal storage device still has sufficient capacity. Because its load is stable, there is no need to reserve a large amount of pipeline capacity to cope with sudden and large load changes.

[0067] Available heat storage weather type is a preliminary, basic screening condition. It refers to weather conditions where the physical characteristics of the pipeline network itself are suitable for heat storage. The judgment criterion is: pipeline heat loss rate < preset heat loss rate threshold.

[0068] Physical significance: In weather conditions with higher temperatures, lower wind speeds, and suitable humidity, the rate at which heating pipes dissipate heat into the environment (heat loss rate) is relatively low. Under such conditions, heat storage is cost-effective due to minimal energy loss and high efficiency. Conversely, in extremely cold and windy weather, the pipes dissipate heat very quickly, and forcibly storing heat may be counterproductive; such weather conditions do not qualify as "suitable weather for heat storage."

[0069] Logical Relationship: The premise of the entire analysis process is that the "identification of weather types" discussed must first be "available heat storage weather types". The system will first exclude those weather conditions with excessive heat loss that are not suitable for heat storage, and then use the above complex logic to determine when and how to carry out heat storage operations in a more refined manner among the remaining weather conditions suitable for heat storage.

[0070] This multi-layered decision-making system ensures that the thermal storage operation takes into account not only the matching needs of the power grid and the heating network, but also the impact of weather on load characteristics, the frequency of weather events, and the thermal efficiency of the pipeline network itself, thereby maximizing the overall benefits.

[0071] Furthermore, the method for determining the thermoelectric decoupling control method of the thermal power unit is as follows: Based on the composition data of the available heat storage weather types, determine the percentage of the number of days of the available heat storage weather types in the most recent target period, and use it as the percentage of the number of available days; Based on the evaluation and analysis results of the heat storage capacity of the heating network under different identified weather types, the average heat loss rate of the heating network under different identified weather types is determined and used as the reference heat loss rate. Based on the proportion of available dates and the reference heat loss rate under different identified weather types, the thermoelectric decoupling control method of the thermal power unit is determined.

[0072] It is understood that, based on the proportion of available dates and the reference heat loss rate under different identified weather types, the thermoelectric decoupling control method for the thermal power unit is determined, specifically including: Determine whether the proportion of available dates is greater than a preset threshold for the proportion of available dates. If yes, determine that the thermal-electric decoupling control method of the thermal power unit is to use the original method to store energy in all weather types except for available heat storage weather types. If no, proceed to the next step. Determine whether the reference heat loss rate under the identified weather type is within the preset heat loss rate range. If yes, proceed to the next step. If no, the thermoelectric decoupling control method under the identified weather type is to use the original method to store energy using a thermal storage system. Based on the proportion of the number of dates in the most recent target period under different weather types, determine whether the proportion of the number of dates under the identified weather type is less than a preset date proportion threshold. If so, the thermal-electric decoupling control method under the identified weather type is that when there is excess heating load under the weather type and the thermal storage device is not within the target energy storage capacity range, the heating load is directly supplied to the heating network. If not, the thermal-electric decoupling control method under the identified weather type is that the original method is used to utilize the thermal storage system for energy storage.

[0073] It should be noted that when the weather type is not identified, the thermal-electric decoupling control method under the weather type is determined to be to use the original method to store energy using the thermal storage system. When the weather type is suitable for thermal storage, the thermal-electric decoupling control method under the weather type is determined to be to directly supply the heating load to the heating network when the heating load is greater than the heating demand load.

[0074] In the above steps, the decision tree of this method can be clearly decomposed into the following steps: Global opportunity assessment (how much weather is available), judgment criteria: the percentage of available dates > a preset threshold for the percentage of available dates. If yes: it indicates that most of the year is suitable for heat storage, and there are many opportunities. Therefore, the old strategy is only used in "unavailable weather," while the new pipeline heat storage strategy is actively adopted in available weather. If no: it indicates that the weather window suitable for heat storage is limited, and the impact on the heat storage device is relatively small. Heating adjustments need to be made when identifying the weather type.

[0075] Efficiency feasibility assessment (is the heat loss acceptable?), judgment criteria: The reference heat loss rate for the identified weather types is within the preset heat loss rate range. No: This indicates that the heat loss of the pipeline network is generally too high during critical weather conditions requiring heat storage, and the heat storage efficiency is uneconomical. Therefore, in these identified weather types, we also revert to using the old strategy. Yes: This indicates that the heat storage efficiency is feasible, and we proceed to the next step to make final fine adjustments based on the frequency of the weather.

[0076] Strategy fine-tuning assessment (Is this type of weather common?), judgment criteria: If the percentage of dates for a specific weather type is less than the preset date percentage threshold, then: Yes: This indicates that this weather is rare, and therefore the heat loss impact of energy storage regulation in the above weather types is low. Therefore, in this rare weather type, the lower-priority "second preset strategy" (i.e., only storing heat in the pipeline network when the thermal storage device is not within the target capacity range) is adopted. No: This indicates that this weather is relatively common, and the heat loss impact on the heating pipeline network is high. In this common weather type, the old strategy is used.

[0077] Default policy rules For unidentified weather types: the existing method of using the thermal storage system for energy storage will be used (i.e., active pipeline thermal storage will not be activated). For weather types where thermal storage is available: an active "preset strategy" will be adopted, that is, as long as there is excess heat, it will be directly injected into the pipeline.

[0078] In one possible embodiment, a global opportunity assessment is performed: if the percentage of available dates (41%) is less than the threshold (60%), the condition is not met, and the process proceeds to the next step.

[0079] Efficiency Feasibility Assessment: Check the reference heat loss rate of the identified weather type Y. The heat loss rate of type Y is 2.8% ∈ [1.5%, 3.5%]. The reference heat loss rate is within the acceptable range. The condition is met, proceed to the next step.

[0080] Strategy fine-tuning assessment (judged individually by weather type): For type Y: the percentage of dates (6.8%) > the threshold (5%), conclusion: this weather type is relatively common, and the use of steam pipeline heat storage may have a high impact on heat loss. Therefore, the control method under type Y is: use the original method to utilize the heat storage system for energy storage (i.e., do not activate active pipeline heat storage, and continue with the old strategy).

[0081] 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 regulating a thermal power unit's heat storage strategy when running the computer program.

[0082] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of 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.

[0083] 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.

[0084] 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 method for regulating and processing the heat storage strategy of a thermal power unit, characterized in that, Specifically, it includes: Based on the usage data of the thermal power unit's thermal storage device, the operating data of the thermal power unit's thermal storage device in the target energy storage capacity range is determined. Based on the operating data, when it is determined that the thermal storage capacity of the heating network needs to be evaluated and analyzed, the matching situation of heating demand load and power supply load under different weather types is used as a basis to determine the weather type to be identified. Based on the identified weather types and combined with the changes in heating demand load under different identified weather types, an assessment and analysis strategy for the heat storage capacity of the heating network under different weather types is conducted. Based on the assessment and analysis results of the heat storage capacity of the heating network under different identified weather types, the available heat storage weather types are determined. Based on the composition data of the available heat storage weather types and the assessment and analysis results of the heat storage capacity of the heating network under different identified weather types, the thermoelectric decoupling control method of the thermal power unit is determined.

2. The method for regulating and processing the heat storage strategy of a thermal power unit as described in claim 1, characterized in that, The usage data of the thermal storage device includes the time periods of the thermal storage device within different energy storage capacity ranges.

3. The method for regulating and processing the heat storage strategy of a thermal power unit as described in claim 1, characterized in that, The operating data of the thermal power unit's thermal storage device within the target energy storage capacity range includes the time period of the thermal storage device during the target energy storage capacity period.

4. The method for regulating and processing the heat storage strategy of a thermal power unit as described in claim 1, characterized in that, The target energy storage capacity range is the range in which heat storage and release can be reliably carried out.

5. The method for regulating and processing the heat storage strategy of a thermal power unit as described in claim 1, characterized in that, The assessment and analysis of the heat storage capacity of the heating network needs to be determined, specifically including: Based on the operating data of the thermal power unit's thermal storage device within the target energy storage capacity range, the time period within the target energy storage capacity range is determined and used as the target energy storage time period; The proportion of energy storage time on different dates is determined based on the proportion of the target energy storage period on different dates. Based on the proportion of energy storage time on different dates, determine whether an assessment and analysis of the heat storage capacity of the heating network is necessary.

6. The method for regulating and processing the heat storage strategy of a thermal power unit as described in claim 5, characterized in that, Based on the proportion of energy storage time on different dates, determine whether an assessment and analysis of the heating network's heat storage capacity is necessary, specifically including: The average percentage is determined by averaging the percentage of energy storage duration on different dates; Based on the average percentage, it is determined whether an assessment and analysis of the heat storage capacity of the heating network is required.

7. The method for regulating and processing the heat storage strategy of a thermal power unit as described in claim 1, characterized in that, The method for determining the assessment and analysis strategy for the heat storage capacity of the heating network under the aforementioned weather type is as follows: Based on the identified weather type, determine the number of days for the identified weather type; Based on the changes in heating demand load under different identified weather types, determine the type of change in heating demand load under said weather type. Based on the number of identified weather types and the variation patterns of heating demand load under different weather types, an assessment and analysis strategy is developed to determine the heat storage capacity of the heating network under those weather types.

8. The method for regulating and processing the heat storage strategy of a thermal power unit as described in claim 7, characterized in that, The type of change in heating demand load under the given weather type is determined based on the percentage of dates with load fluctuations under that weather type. If the percentage of dates with load fluctuations under that weather type is greater than a preset threshold, then the type of change in heating demand load under that weather type is determined to be a heating load fluctuation type; otherwise, it is classified as a heating load stable type.

9. The method for regulating and processing the heat storage strategy of a thermal power unit as described in claim 1, characterized in that, The method for determining the thermoelectric decoupling control method of the thermal power unit is as follows: Based on the composition data of the available heat storage weather types, determine the percentage of the number of days of the available heat storage weather types in the most recent target period, and use it as the percentage of the number of available days; Based on the evaluation and analysis results of the heat storage capacity of the heating network under different identified weather types, the average heat loss rate of the heating network under different identified weather types is determined and used as the reference heat loss rate. Based on the proportion of available dates and the reference heat loss rate under different identified weather types, the thermoelectric decoupling control method of the thermal power unit is determined.

10. A computer system, comprising: A memory and processor connected in 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 heat storage strategy regulation processing method for a thermal power unit as described in any one of claims 1-9.

Images