Thermoelectric decoupling control method for thermoelectric unit and computer system

Abstract

The invention discloses a thermoelectric decoupling control method for a thermoelectric unit and a computer system, and belongs to the technical field of thermoelectric units, and the method specifically comprises the steps: S1, obtaining the limited data of the heat supply load of the thermoelectric unit, and determining the matching deviation condition with the heat supply demand based on the analysis result of the limited data of the heat supply load; s2, according to the matching deviation condition of the heat supply load and the heat supply demand in the weather type, the heat supply shortage time period in the weather type is determined, and the weather type needing to conduct heat storage and treatment through the heat supply pipe network is determined; s3, on the basis of the composition data of the pipe network heat storage weather type in the weather type with the insufficient heat supply period and in combination with the change type of the insufficient heat supply period of the weather type which does not belong to the pipe network heat storage weather type, when it is determined that the heat storage capacity interval can be adjusted, the heat storage capacity interval can be adjusted. The adjustment result of the pipe network heat storage weather type is determined according to the adjustment matching degree of the capacity control interval under different weather types, and the service life of the heat storage device is prolonged.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of heat and power unit, in particular to a heat and power decoupling control method and computer system for heat and power unit. BACKGROUND

[0002] In order to realize the heat and power decoupling control of the heat and power unit, the existing technical solutions often realize the decoupling control of the heat and power unit through the setting of the energy storage device. The invention patent application No. CN202510786341.4, named "heat and power decoupling system and control method based on geothermal long-time energy storage", the invention patent application No. CN120042672A, named "heat and power cogeneration system and method for realizing flexible peak regulation of nuclear power unit", and the like all give similar technical solutions, but have the following defects: When performing heat and power decoupling control, frequent adjustment of the heat storage device will inevitably lead to high frequency of adjustment of the heat storage device, thereby affecting the service life. Therefore, how to utilize the heat storage of the heat supply pipe network under part of the weather types to perform heat and power decoupling processing, so as to reduce the adjustment frequency of the heat storage device and improve the service life becomes a technical problem to be solved.

[0003] To solve the above technical problems, the present application provides a heat and power decoupling control method and system for heat and power unit. SUMMARY

[0004] To achieve the purpose of the present application, the present application adopts the following technical solutions: Specifically, the present application provides a heat and power decoupling control method for heat and power unit, which specifically comprises: S1 obtains the limited data of the heat supply load of the heat and power unit, determines the matching deviation condition of the heat supply load and the heat supply demand based on the analysis result of the limited data of the heat supply load, and enters the next step when it is determined that the control processing of the heat storage device is needed according to the matching deviation condition; S2 determines the heat supply insufficient period in the weather type based on the matching deviation condition of the heat supply load and the heat supply demand, determines whether the heat supply pipe network needs to be used for heat storage processing based on the change data of the heat supply insufficient period, and takes the weather type needing to use the heat supply pipe network for heat storage processing as the pipe network heat storage weather type; S3 determines the adjustment result of the pipe network heat storage weather type based on the constituting data of the weather type with heat supply insufficient period in the pipe network heat storage weather type, and combines the change type of the heat supply insufficient period of the weather type not belonging to the pipe network heat storage weather type, so as to determine the adjustment matching degree of the capacity control interval under different weather types.

[0005] The present application has the advantages of: Based on the variation data of the heat supply insufficient period in the weather type, the weather type in which the heat supply pipe network is used for heat storage treatment in the weather type is determined, which realizes the screening of the weather type in which the heat supply insufficient period is more and the stability of the heat supply insufficient period is higher, and the heat supply pipe network is used for heat storage treatment in the weather type, thereby reducing the adjustment frequency of the heat storage device on the basis of meeting the heat storage adjustment demand, and prolonging the service life.

[0006] The adjustment result of the pipe network heat storage weather type is determined according to the adjustment matching degree of the capacity control interval under different weather types, so as to realize the screening of the heat storage capacity interval that can meet the heat supply adjustment demand in the date in which the heat supply insufficient period varies quickly and most of the weather types, and the heat supply pipe network heat storage capacity is used for adjustment treatment in the weather type that cannot meet the adjustment demand in the heat storage capacity interval, which further ensures the operation stability of the heat storage device, and further reduces the adjustment frequency of the heat storage device.

[0007] Further, the limited data of the heat supply load is the period in which the heat supply load cannot extract the heat supply amount required by the heat supply demand due to the load limitation.

[0008] Further, the matching deviation condition is determined according to the deviation amount of the heat supply amount and the heat supply demand.

[0009] Further, the determination of the need for control processing of the heat storage device specifically includes: determining the period in which the heat supply amount is less than the heat supply demand due to the limitation of the heat supply amount according to the matching deviation condition, and taking it as the heat supply insufficient period; According to the heat supply insufficient period in different dates, it is determined whether the control processing of the heat storage device is needed.

[0010] It can be understood that if there is a heat supply insufficient period in different dates, the adjustment frequency of the heat storage device is higher at this time, which inevitably affects the service life of the heat storage device, so the control processing of the heat storage device is determined to be needed.

[0011] Further, the heat supply insufficient period is the period in which the heat supply amount is less than the heat supply demand.

[0012] It has that the weather type is divided according to the environmental temperature interval and the wind speed interval, and specifically, the dates in the same environmental temperature interval and wind speed interval are divided into the same weather type.

[0013] Further, the determination method of the pipe network heat storage weather type is: determine dates in which the weather type has a heat supply shortage period based on the variation data of the heat supply shortage period in the weather type, and take the dates as heat supply shortage dates; determine a deviation of the number of heat supply shortage periods between different heat supply shortage dates based on the number of heat supply shortage periods in different heat supply shortage dates; determine whether the weather type is a pipe network heat storage weather type based on the heat supply shortage date data and the deviation of the number of heat supply shortage periods between different heat supply shortage dates.

[0014] It can be understood that determining whether the weather type is a pipe network heat storage weather type based on the heat supply shortage date data and the deviation of the number of heat supply shortage periods between different heat supply shortage dates specifically includes: determine whether the proportion of the number of heat supply shortage dates in the weather type is greater than a preset proportion threshold based on the proportion of the number of heat supply shortage dates in the weather type, if yes, proceed to the next step, and if no, determine that the weather type does not belong to the pipe network heat storage weather type; obtain the number of heat supply shortage periods in different heat supply shortage dates in the weather type, and determine whether the average value of the number of heat supply shortage periods in different heat supply shortage dates in the weather type is greater than a preset period number threshold one, if yes, determine that the weather type belongs to the pipe network heat storage weather type, and if no, proceed to the next step; take the average value of the number of heat supply shortage periods in different heat supply shortage dates in the weather type as a reference period number, and determine whether the reference period number is greater than a preset period number threshold two (less than the preset period number threshold one), if yes, proceed to the next step, and if no, determine that the weather type does not belong to the pipe network heat storage weather type; determine the deviation amount of different heat supply shortage dates from the reference period number based on the deviation of the number of heat supply shortage periods between different heat supply shortage dates, and determine whether the weather type belongs to the pipe network heat storage weather type based on the deviation amount of different heat supply shortage dates from the reference period number.

[0015] It should be noted that when the absolute values of the deviation amounts of different heat supply shortage dates from the reference period number are all less than a period number preset value, it is determined that the weather type belongs to the pipe network heat storage weather type.

[0016] Specifically, the variation type of the heat supply shortage period of the weather type that does not belong to the pipe network heat storage weather type is determined according to the average value of the absolute values of the deviation amounts of the heat supply shortage dates from the reference period number in the weather type that does not belong to the pipe network heat storage weather type, and specifically divided into a first variation type and a second variation type according to the range in which the average value is located.

[0017] It should be noted that the first type of change is greater than the second type of change.

[0018] Further, the determination of the adjustment of the heat storage capacity interval specifically includes: According to the constituent data of the pipe network heat storage weather type in the weather type with a heating shortage period, the number proportion of the pipe network heat storage weather type in the weather type with a heating shortage period is determined, and it is taken as the pipe network heat storage proportion; The weather type that does not belong to the pipe network heat storage weather type is taken as other weather types, and the change type of the heating shortage period of different other weather types is determined; According to the pipe network heat storage proportion and the change type of the heating shortage period of different other weather types, it is determined whether the adjustment of the heat storage capacity interval can be performed.

[0019] It can be understood that according to the pipe network heat storage proportion and the change type of the heating shortage period of different other weather types, it is determined whether the adjustment of the heat storage capacity interval can be performed, specifically including: It is judged whether the pipe network heat storage proportion is a heat storage proportion threshold value, if yes, in order to ensure the reliability of the heating adjustment, it is determined that the adjustment of the heat storage capacity interval cannot be performed, if not, the next step is entered; According to the change type of the heating shortage period of different other weather types, it is judged whether there is a first type of change of other weather types, if yes, the next step is entered, if not, it is determined that the adjustment of the heat storage capacity interval can be performed; The number of the first type of change of other weather types is obtained, and it is judged whether the number of the first type of change of other weather types is greater than a preset weather type number threshold value, if yes, it is determined that the adjustment of the heat storage capacity interval cannot be performed, if not, the next step is entered; According to the average value of the number of the heating shortage period of different dates in different first type of change of other weather types, it is determined whether the adjustment of the heat storage capacity interval can be performed.

[0020] It can be understood that when there is a first type of change of other weather types with an average value of the number of the heating shortage period of different dates greater than a preset heating shortage period number threshold value, it is determined that the adjustment of the heat storage capacity interval cannot be performed.

[0021] Specifically, the capacity control interval is divided into a plurality of capacity control intervals according to the rated capacity interval of the heat storage device and the like.

[0022] Further, the method for determining the adjustment result of the pipe network heat storage weather type is: determine whether the capacity control interval can meet the heat supply demand of the heat supply insufficient period in the date of the different other weather types under the adjustment matching degree of the capacity control interval in the different weather types; take the date that can meet the heat supply demand of all the heat supply insufficient periods in the other weather types as the heat supply matching date; determine the adjustment result of the pipe network heat storage weather type according to the heat supply matching date data of the capacity control interval in the other weather types and in combination with the change type of the heat supply insufficient period of the other weather types.

[0023] Further, determining the adjustment result of the pipe network heat storage weather type according to the heat supply matching date data of the capacity control interval in the other weather types and in combination with the change type of the heat supply insufficient period of the other weather types has the following steps: determine the heat supply matching factor of the capacity control interval according to the heat supply matching date of the capacity control interval in the other weather types and the proportion of the number of dates in the other weather types; take the other weather type with the heat supply matching factor greater than the preset matching factor threshold as the adaptive weather type, judge whether the proportion of the adaptive weather type of the capacity control interval in the other weather types is greater than the preset weather type proportion threshold, if yes, determine that the capacity control interval is an adaptive capacity interval, and enter the next step, if not, determine that the capacity control interval does not belong to the adaptive capacity interval; take the other weather type in the adaptive capacity interval that does not belong to the adaptive weather type as the adaptive deviation weather type, judge whether there is an adaptive deviation weather type of a type of change type in the adaptive deviation weather type, if yes, determine that the adjustment result of the pipe network heat storage weather type cannot be determined in the adaptive capacity interval, if not, enter the next step; take the adaptive capacity interval with the smallest end point in the adaptive capacity interval that does not have an adaptive deviation weather type of a type of change type as the target capacity interval, take the adaptive deviation weather type of the target capacity interval as the adjustment result of the pipe network heat storage weather type, that is, in the adaptive deviation weather type of the target capacity interval, the heat supply is handled by using the form of pipe network heat storage.

[0024] In a second aspect, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the above-mentioned heat and electricity decoupling control method for a heat and electricity unit.

[0025] Other features and advantages will be set forth in the descriptions that follow and in part will be apparent from the description, or can be learned by practice of the application. The purposes and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

[0026] To make the above objectives, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are specifically described below with reference to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 is a flow chart of a thermal-electric decoupling control method for a thermal power unit; Figure 2 is a flow chart of determining the need for control processing of a heat storage device; Figure 3 is a flow chart of a method for determining a pipe network heat storage weather type. DETAILED DESCRIPTION

[0028] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in conjunction with the drawings in the specification. Obviously, the described embodiments are only some of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by those skilled in the art without creative labor should fall within the scope of protection of the specification. Embodiment 1

[0029] To solve the above problems, according to one aspect of the present application, as shown in Figure 1 a thermal-electric decoupling control method for a thermal power unit is provided, specifically comprising: S1 obtaining limited data of a heat supply load of a thermal power unit, determining a matching deviation condition of the heat supply load and a heat supply demand based on an analysis result of the limited data of the heat supply load, and when it is determined that control processing of a heat storage device is needed according to the matching deviation condition, proceeding to the next step; S2 determining a heat supply insufficient period in a weather type according to a matching deviation condition of the heat supply load and the heat supply demand in the weather type, determining whether the heat supply in the weather type needs to be processed by heat storage using a heat supply pipe network based on variation data of the heat supply insufficient period in the weather type, and taking the weather type that needs to be processed by heat storage using the heat supply pipe network as a pipe network heat storage weather type; S3 determines the adjustment result of the pipe network heat storage weather type according to the adjustment matching degree of the capacity control interval under different weather types, based on the constituent data of the weather type in which the heat supply insufficient period exists in the pipe network heat storage weather type, and in combination with the variation type of the heat supply insufficient period of the weather type that does not belong to the pipe network heat storage weather type, when the adjustment processing of the heat storage capacity interval can be performed.

[0030] Further, the heat supply load limited data is a period in which the heat supply load cannot extract the heat supply amount required by the heat supply demand due to the load limitation.

[0031] Further, the heat supply load and heat supply demand matching deviation situation is determined according to the deviation amount of the heat supply amount and the heat supply demand.

[0032] Further, as Figure 2 indicated, it is determined that the control processing of the heat storage device needs to be performed, and specifically includes: determining a period in which the heat supply amount is less than the heat supply demand due to the limited heat supply amount, as the heat supply insufficient period, according to the matching deviation situation; determining whether the control processing of the heat storage device needs to be performed according to the heat supply insufficient period in different dates.

[0033] It can be understood that if the heat supply insufficient period exists in different dates, the adjustment frequency of the heat storage device is high at this time, and therefore the service life of the heat storage device is inevitably affected, and therefore it is determined that the control processing of the heat storage device needs to be performed.

[0034] Embodiment: Heat storage device control decision method based on heat supply limitation and supply-demand deviation The embodiment provides an intelligent decision method for judging when to start the heat storage device to perform auxiliary regulation in a heat supply system. The core of the method is not simply to start the heat storage device when the heat supply amount is insufficient, but to evaluate the necessity and economy of active heat storage adjustment by analyzing the continuity of the limited mode, so as to balance between guaranteeing the heat supply demand and prolonging the service life of the equipment.

[0035] The specific steps are as follows: S1: identifying heat supply load limited data: The limited data of the heat supply load specifically refers to a period in which the heat supply system cannot extract (or output) the heat amount required by the heat demand due to external or internal constraints (such as: upper limit of heat source output, limit of pipe network transmission capacity, dispatching instruction, etc.) and corresponding shortage information. These periods record the inherent “energy supply bottleneck” of the system.

[0036] S2: calculating heat supply matching deviation situation: The matching deviation of the heat supply demand is determined by continuously or periodically comparing the actual heat supply and the user-side heat supply demand. The core quantitative index is the deviation amount of the heat supply and the heat supply demand. A positive value indicates that the supply is greater than the demand (surplus), and a negative value indicates that the supply is less than the demand (gap).

[0037] S3: Determine whether the heat storage device control needs to be started: This step is the key to decision-making, and the purpose is to avoid the heat storage device from being worn out due to frequent response to short-term and accidental gaps. The specific determination logic is as follows: Identify the heat supply shortage period: Based on the matching deviation obtained in step S2, filter out all continuous or discrete periods in which the heat supply is less than the heat supply demand due to limited heat supply (resulting from the limited data in S1), and mark these periods as "heat supply shortage periods".

[0038] Analyze the date distribution of the insufficient period: count and analyze the occurrence of these "heat supply shortage periods" in different dates. The core is to determine whether it constitutes a cross-date, repeated pattern.

[0039] Make a control decision: Decision logic: If the analysis finds that heat supply shortage periods occur in multiple different dates (for example, in most of the consecutive days or in the last week), it is determined that the control processing of the heat storage device needs to be performed.

[0040] Logical explanation (i.e. "it can be understood that"): This criterion is based on the following engineering considerations: If the heat supply shortage only occurs occasionally in a single date, it may be caused by special weather or temporary failure, and the benefits of enabling the heat storage device are limited and may interfere with its normal charging and discharging cycles. On the contrary, if there are heat supply shortage periods in different dates, it indicates that there is a systematic and continuous imbalance between supply and demand. At this time, the adjustment action of the heat storage device will become frequent. Although frequent adjustment will inevitably have some impact on the service life and maintenance cost of the heat storage device (especially its heat storage material, heat exchanger, and control system), compared with the resulting continuous substandard heat supply, user complaints, and possible system safety risks, it becomes necessary and economical to actively enable the heat storage device to perform peak shaving and fill the gaps in the system's inherent defects. Therefore, the system only determines to start the advanced heat storage device control strategy when such a persistent pattern occurs.

[0041] The embodiment introduces a decision layer of "cross-date persistence analysis", so that the heat storage control is changed from passive "heat deficiency compensation" to active "mode intervention". It effectively screens the systematic bottleneck scenarios that really need the intervention of the heat storage device, avoids the invalid actions and losses of the equipment due to the response to incidental and random disturbances, optimizes the whole life cycle use efficiency of the heat storage device, and improves the operation economy and reliability of the whole heating system while ensuring the heating quality.

[0042] Further, the insufficient heating period is a period in which the heating amount is less than the heating demand.

[0043] The weather type is divided according to the environmental temperature interval and the wind speed interval, and specifically, the dates in the same environmental temperature interval and wind speed interval are divided into the same weather type.

[0044] Specifically, as shown in Figure 3 The method for determining the pipe network heat storage weather type is: The embodiment provides a method for intelligently identifying whether a specific weather type needs to start a pipe network heat storage strategy. The method analyzes historical data to determine under what weather conditions the heating system will regularly have insufficient heating, so as to plan heat storage operation in advance.

[0045] Two core concepts are defined: the insufficient heating period refers to any continuous time period in which the actual heating amount of the system is less than the heating demand of the user. The weather type is divided according to the combination of the environmental temperature interval and the wind speed interval. For example, all dates with daily average temperature in "-5℃ to 0℃" and average wind speed in "3 to 4" are classified into the same weather type, which is denoted as weather type WT-1.

[0046] Take the weather type WT-1 as an example for analysis. It is assumed that in a historical data set, there are 10 dates classified as the weather type WT-1.

[0047] The variation data of the insufficient heating period in the weather type are used to determine the dates in which the weather type has an insufficient heating period, and the dates are taken as insufficient heating dates; According to the number of insufficient heating periods in different insufficient heating dates, the deviation of the number of insufficient heating periods between different insufficient heating dates is determined; Based on the insufficient heating date data and the deviation of the number of insufficient heating periods between different insufficient heating dates, it is determined whether the weather type is a pipe network heat storage weather type.

[0048] In the 10 WT-1 weather days, it is found that: there are 7 days of insufficient heating supply, which are called "insufficient heating supply dates". The remaining 3 days are balanced, and there is no insufficient period.

[0049] In the 7 days of insufficient supply, the number of "insufficient heating period" per day is not exactly the same. Specifically, among them, 3 days each have 3 insufficient periods, another 3 days each have 4 insufficient periods, and 1 day has 5 insufficient periods.

[0050] It can be understood that, based on the insufficient heating supply date data and the deviation of the number of insufficient heating periods between different insufficient heating supply dates, it is determined whether the weather type is a pipe network heat storage weather type, specifically including: Based on the number of insufficient heating supply dates in the weather type, it is determined whether the number of insufficient heating supply dates in the weather type is greater than a preset number of proportion thresholds, if yes, then go to the next step, if no, then determine that the weather type does not belong to the pipe network heat storage weather type; Obtain the number of insufficient heating periods in different insufficient heating supply dates in the weather type, and determine whether the average value of the number of insufficient heating periods in different insufficient heating supply dates in the weather type is greater than a preset period number threshold one, if yes, then determine that the weather type belongs to the pipe network heat storage weather type, if no, then go to the next step; Take the average value of the number of insufficient heating periods in different insufficient heating supply dates in the weather type as the reference period number, and determine whether the reference period number is greater than a preset period number threshold two (less than the preset period number threshold one), if yes, then go to the next step, if no, then determine that the weather type does not belong to the pipe network heat storage weather type; Determine the deviation amount of different insufficient heating supply dates and the reference period number based on the deviation of the number of insufficient heating periods between different insufficient heating supply dates, and determine whether the weather type belongs to the pipe network heat storage weather type based on the deviation amount of different insufficient heating supply dates and the reference period number.

[0051] First step: determine the occurrence frequency: calculate the proportion of insufficient heating supply dates under WT-1 weather: 7 insufficient days / 10 total days = 70%, since 70%>60% (R_th), it meets the "frequent occurrence" condition, and goes to the next step.

[0052] Second step: determine the severity of the shortage: First calculate the average value of the "insufficient period number" of the 7 insufficient dates: (3+3+3+4+4+4+5) / 7 ≈3.71.

[0053] Compare the average value 3.71 with the first threshold T1 = 4. Since 3.71 < 4, the criterion for "severe deficiency" is not met, so go to the third step.

[0054] Third step: Determine if the base deficiency level is reached: Compare the average value 3.71 with the second threshold T2 = 3. Since 3.71 > 3, there is a clear and excessive heating gap beyond the base level, meeting the condition, go to the final fourth step.

[0055] Fourth step: Determine the stability of the deficiency mode (fluctuation) This is the most critical step to determine whether the deficiency is predictable. We calculate the deviation (absolute value) of the number of periods for each deficiency day from the average value (3.71): For days with 3 periods: deviation about 0.71, for days with 4 periods: deviation about 0.29, for days with 5 periods: deviation about 1.29 All these deviation values (maximum 1.29) are less than the allowed fluctuation range Δ_max = 1.5. This means that under WT-1 weather, not only is there a lack of heat, but the "magnitude" of the lack of heat (number of periods) is relatively stable.

[0056] Four, final determination and technical effect explanation: After the above four steps of determination, the weather type WT-1 fully meets the preset conditions, so it is officially identified by the system as a "pipe network heat storage weather type".

[0057] The core value of this determination lies in "predictability" and "patternization". It tells us that when the weather forecast shows that WT-1 type weather (temperature -5℃ to 0℃, wind speed 3-4 levels) is about to enter, the system has a probability of up to 70% of heat deficiency, and the scale of the deficiency is stable at about 3-4 periods per day.

[0058] Therefore, the system does not need to respond passively when the deficiency actually occurs. On the contrary, it can proactively start the pipe network heat storage strategy in advance (for example, during the night low period) to store abundant heat in the pipe network system. When the predicted deficiency period arrives, the stored heat is released in an orderly manner to fill the gap.

[0059] This method avoids the frequent start and stop and blind operation of the heat storage device under the traditional way, and changes the heat storage behavior from "emergency remedy" to "planned scheduling", significantly improving the reliability and economy of the heating system, and prolonging the service life of the key equipment.

[0060] It should be noted that when the absolute value of the deviation of the different heat supply insufficient dates from the reference period quantity is less than the period quantity preset value, it is determined that the weather type belongs to the pipe network heat storage weather type.

[0061] Specifically, the variation type of the heat supply insufficient period of the weather type not belonging to the pipe network heat storage weather type is determined according to the average value of the absolute value of the deviation of the heat supply insufficient date from the reference period quantity in the weather type not belonging to the pipe network heat storage weather type, and specifically, the variation type is divided into a first variation type and a second variation type according to the range in which the average value is located.

[0062] Variation type of “other weather types”: For other weather types that appear heat supply insufficient (denoted as OT-1, OT-2, etc.) and are not marked as “pipe network heat storage weather type”, further analysis of the volatility of the insufficient mode is required.

[0063] Calculation method: for a certain weather type OT-X, first determine its “reference period quantity” (i.e. the average value Avg_OTX of the insufficient period quantity of all heat supply insufficient dates under this type). Then, calculate the absolute value of the deviation of the insufficient period quantity of each insufficient date from Avg_OTX, and then calculate the average value of these absolute values, denoted as the volatility average M_OTX.

[0064] Type division: according to the size range of the volatility average M_OTX, for example: If M_OTX ≥ 2.0, the weather type OT-X is divided into “a first variation type”. This indicates that in this type of weather, the number of heat supply insufficient periods fluctuates violently, and the mode is difficult to grasp.

[0065] If M_OTX<2.0, it is divided into “a second variation type”. This indicates that the insufficient condition has not reached the stability standard of “pipe network heat storage weather type”, but the fluctuation is relatively flat.

[0066] Note: the volatility of the first variation type is considered to be greater than that of the second variation type, and the unpredictability is higher, and the requirement for system regulation capacity is also more demanding.

[0067] It should be noted that the first variation type is greater than the second variation type.

[0068] Further, it is determined that the adjustment processing of the heat storage capacity interval can be performed, specifically including: The embodiment aims to solve the problem of when the heat storage device can safely and reliably adjust the heat storage capacity interval (such as upper and lower limit setting, buffer width), thereby further improving the operation stability of the heat storage device and reducing unnecessary adjustment. The core idea is that only when the external heating demand (manifested as insufficient mode under various weather conditions) is relatively "friendly" or "predictable", the adjustment of the key parameter of heat storage capacity is allowed, otherwise it should be kept stable to ensure the reliability of system adjustment. The judgment process is divided into two stages: first, the historical weather types are classified in detail, and then the comprehensive evaluation is carried out based on the classification results.

[0069] The proportion of the pipe network heat storage weather type in the weather types with a heating shortage period is determined based on the constituent data of the pipe network heat storage weather type in the weather types with a heating shortage period, and is taken as the pipe network heat storage proportion; Identify "pipe network heat storage weather types". As mentioned earlier, the system uses a four-step method (occurrence frequency, insufficient degree, volatility analysis) to determine each weather type. For example, weather type WT-1 is labeled as a "pipe network heat storage weather type" because it frequently and stably appears with moderate heating shortage. This type of weather is the main and predictable service object of the heat storage device.

[0070] Assuming that the system has completed the first stage of analysis and obtained the following data summary: The total number of weather types with a heating shortage period: 8.

[0071] The number of weather types determined as "pipe network heat storage weather types": 3 (such as WT-1, WT-2, and WT-3).

[0072] The number of "other weather types" and the change type: 5. Among them, OT-1 and OT-2 are classified as "type 1 change type", and OT-3, OT-4, and OT-5 are classified as "type 2 change type".

[0073] Next, the system determines whether the heat storage capacity interval can be adjusted according to the following logic chain: Weather types that do not belong to pipe network heat storage weather types are classified as other weather types, and the change type of the heating shortage period of different other weather types is determined; According to the pipe network heat storage proportion and the change type of the heating shortage period of different other weather types, it is determined whether the heat storage capacity interval can be adjusted.

[0074] It can be understood that according to the pipe network heat storage proportion and the change type of the heating shortage period of different other weather types, it is determined whether the heat storage capacity interval can be adjusted, which specifically includes: determining whether the pipe network heat storage proportion is a heat storage proportion threshold value, if yes, in order to ensure the reliability of heat supply adjustment, determining that the heat storage capacity interval adjustment processing cannot be performed, if not, entering the next step; determining whether there is a type of variation type of other weather types according to the variation type of the heat supply insufficient period of different other weather types, if yes, entering the next step, if not, determining that the heat storage capacity interval adjustment processing can be performed; acquiring the number of a type of variation type of other weather types, and determining whether the number of a type of variation type of other weather types is greater than a preset weather type number threshold value, if yes, determining that the heat storage capacity interval adjustment processing cannot be performed, if not, entering the next step; determining whether the heat storage capacity interval adjustment processing can be performed according to the average value of the number of heat supply insufficient periods of different dates in different types of variation type of other weather types.

[0075] It can be understood that when there is a type of variation type of other weather types in which the average value of the number of heat supply insufficient periods of different dates is greater than the preset heat supply insufficient period number threshold value, it is determined that the heat storage capacity interval adjustment processing cannot be performed.

[0076] Step one: evaluate the proportion of core service objects, calculate the pipe network heat storage proportion = (pipe network heat storage weather type number) / (total number of weather types with heat supply insufficient) = 3 / 8 = 37.5%.

[0077] Set the system preset heat storage proportion threshold value to 50%. Judgment: since 37.5%<50%, the threshold value is not reached. This means that the pipe network heat storage proportion is low, and the adjustment reliability in the pipe network adjustment weather type is high at this time, and adjustment cannot be directly prohibited. At this time, it is necessary to enter the next step of in-depth analysis.

[0078] Step two: check whether there is a high volatility threat: Check whether there is a "type of variation type" in "other weather types". According to the data, there are OT-1 and OT-2.

[0079] Judgment: there is a high volatility weather type, which is a risk signal, and the next step of evaluating the threat scale needs to be entered.

[0080] Step three: evaluate the scale of the high volatility threat: acquire the number of "type of variation type" weather: 2 types, and set the system preset weather type number threshold value to 2 types.

[0081] Decision: 2 (actual number) is not less than 2 (threshold value). This means that high volatility weather is not an exception, but has reached a certain scale, constituting a systemic risk. At this time, it still cannot pass, and needs to enter the final step for fatal check.

[0082] Step four: evaluate the severity of the shortage of high volatility weather: for each "one type of change" weather (OT-1 and OT-2), calculate the average number of heating shortage periods on different dates.

[0083] Assume the calculation result is: Avg_OT1 = 2.1 periods / day, Avg_OT2 = 1.8 periods / day.

[0084] Suppose the system preset threshold value of the number of heating shortage periods is 2.0 periods / day. Final decision: the check found that the average number of shortage periods of OT-1 (2.1) is greater than the preset threshold value (2.0). This indicates that not only is there high volatility weather, but at least one of them (OT-1) will frequently cause more serious heating shortage.

[0085] Decision: In this case, in order to ensure the absolute reliability of the heating regulation under any weather conditions (including high volatility, high shortage of OT-1 type weather), the system finally decides that the current storage capacity interval adjustment process cannot be carried out. The current storage capacity must be maintained to cope with the "unpredictable and serious consequences" of OT-1 extreme scenarios.

[0086] This embodiment shows a set of layer-by-layer progressive and highly defensive intelligent decision-making process. It does not simply allow adjustment of key system parameters based on a single indicator (such as overall energy efficiency), but starts from the ultimate goal of system safety and regulation reliability: First, by identifying "pipe network heat storage weather types", the optimal and most economical service interval of the heat storage device is determined.

[0087] Then, by analyzing the volatility and severity of "other weather types", the remaining risk spectrum faced by the system is quantified.

[0088] Finally, through multi-level threshold judgment, only in the case of core service dominance (step one) and low remaining risk (steps two, three, and four), is the heat storage capacity allowed to be adjusted flexibly.

[0089] This method maximizes the avoidance of the decline in the overall anti-risk ability of the system caused by blindly pursuing local optimization (fixing the capacity interval to reduce the adjustment frequency of the heat storage device, and adding new pipe network heat storage weather types to further reduce the adjustment frequency of the heat storage device), ensuring the long-term stable and reliable operation of the heating system under complex and changing weather conditions.

[0090] Specifically, the capacity control interval is divided into multiple capacity control intervals according to the rated capacity interval of the heat storage device, etc.

[0091] The embodiment aims to solve a high-level optimization problem: after a "fitting capacity interval" is preliminarily determined, how to accurately evaluate its performance and decide whether the pipe network heat storage strategy can be safely expanded to more weather types based on this interval, so as to formulate a "pipe network heat storage weather type adjustment result" (i.e. a new, expanded applicable weather type list), thereby further reducing the adjustment frequency of the heat storage device, while also meeting the heat storage adjustment needs of most weather types.

[0092] Assuming that the system is allowed to adjust the heat storage capacity control interval after the preliminary feasibility determination (see the previous embodiment), now, multiple candidate capacity control intervals (for example, combinations of heat storage upper and lower limits, such as interval A: [100MWh, 200MWh], interval B: [120MWh, 220MWh], etc.) are faced.

[0093] The system history database contains multiple "other weather types" (i.e. non-pipe network heat storage weather types), for example: OT-1: a type of fluctuation, with sharp fluctuations.

[0094] OT-2: a type of fluctuation, with sharp fluctuations.

[0095] OT-3: a type of fluctuation, with gentle fluctuations.

[0096] OT-4: a type of fluctuation, with gentle fluctuations.

[0097] For each weather type, there are several days of historical load data, in which "heat supply shortage periods" and their heat load gap values are marked.

[0098] Further, the method for determining the adjustment result of the pipe network heat storage weather type is: determining whether the capacity control interval can meet the heat supply demand of the heat supply shortage period in the date under different other weather types according to the adjustment matching degree of the capacity control interval under different weather types; regarding the date under the other weather type that can meet the heat supply demand of all heat supply shortage periods as a heat supply matching date; Taking the candidate capacity control interval C as an example, how to determine its "adjustment result" is demonstrated.

[0099] Step 1: simulation test and heat supply matching date identification: The system performs simulation test on interval C: applies it to each historical date under all "other weather types".

[0100] Test logic: Check if the heat storage capacity defined by interval C (considering current heat storage status, charge-discharge efficiency, etc.) can provide enough heat to completely fill the gap of heat load for each "heat supply insufficient period" that occurs on that day.

[0101] Recognition result: For example, among the 10 historical dates of weather type OT-3, interval C can meet the needs of all insufficient periods on 9 days, and these 9 days are marked as heat supply matching dates. Among the dates of OT-1, only 2 days can meet the needs.

[0102] According to the heat supply matching date data of the capacity control interval under other weather types, and combined with the change type of the heat supply insufficient period of the other weather types, the adjustment result of the pipe network heat storage weather type is determined.

[0103] Further, according to the heat supply matching date data of the capacity control interval under other weather types, and combined with the change type of the heat supply insufficient period of the other weather types, the adjustment result of the pipe network heat storage weather type is determined, which has the following steps: Determine the heat supply matching factor of the capacity control interval based on the number of dates of the other weather types under the heat supply matching date of the capacity control interval, and the proportion of the number of dates of the other weather types. Step 2: Calculate the "heat supply matching factor" of the capacity control interval: For each "other weather type", calculate the heat supply matching factor.

[0104] Formula: Heat supply matching factor = (number of heat supply matching dates under this weather type) / (total number of dates under this weather type).

[0105] For OT-3: matching factor = 9 / 10 = 0.9; For OT-4: matching factor = 8 / 10 = 0.8; For OT-1: matching factor = 2 / 10 = 0.2; For OT-2: matching factor = 3 / 10 = 0.3; If the heat supply matching factor of the other weather type is greater than the preset matching factor threshold, the other weather type is determined as the adaptive weather type, and it is judged whether the proportion of the adaptive weather type of the capacity control interval in the other weather types is greater than the preset weather type proportion threshold. If yes, the capacity control interval is determined as the adaptive capacity interval, and the next step is entered, if not, the capacity control interval is determined not to belong to the adaptive capacity interval. The preliminary screening of "adaptation capacity interval" and "adaptation weather type" is set to a preset matching factor threshold of 0.7. The weather types with a matching factor greater than 0.7 are listed as the "adaptation weather types" of the interval C.

[0106] According to the data: OT-3 (0.9>0.7) and OT-4 (0.8>0.7) are selected.

[0107] Determine the proportion of adaptation weather types: There are 2 adaptation weather types (OT-3, OT-4) in interval C, and the total number of "other weather types" is 4 (OT-1, OT-2, OT-3, OT-4), the proportion is 2 / 4 = 50%, and the preset weather type proportion threshold is set to 40%.

[0108] Determination: Since 50%>40%, interval C is preliminarily determined as an "adaptation capacity interval". It can perform well in a considerable part (50%) of non-core weather types.

[0109] The other weather types in the adaptation capacity interval that do not belong to the adaptation weather types are regarded as adaptation deviation weather types, and it is determined whether there is an adaptation deviation weather type of a variable type in the adaptation deviation weather types. If yes, it is determined that the adjustment result of the heat storage weather type of the pipe network cannot be determined in the adaptation capacity interval, and if not, it proceeds to the next step. Processing "adaptation deviation weather types" and risk control, identifying adaptation deviation weather types: That is, the weather types in "other weather types" that are not included in the adaptation list. For interval C, OT-1 and OT-2.

[0110] Primary risk investigation: Check whether there is a variable type (i.e. a type with severe fluctuations) in these adaptation deviation weather types. According to the previous classification, OT-1 and OT-2 belong to the variable type.

[0111] Risk determination: Since there are adaptation deviation weather types of a variable type (OT-1, OT-2), the system determines that there is an uncontrollable high volatility risk. Under interval C, these weather conditions cannot be reliably addressed. Therefore, the process is terminated, and the conclusion is that the adjustment result of the heat storage weather type of the pipe network cannot be determined based on the capacity control interval C. Interval C is eliminated.

[0112] The smallest adaptation capacity interval of the adaptation deviation weather types that do not exist in the adaptation capacity interval of a variable type is taken as the target capacity interval, and the adaptation deviation weather types of the target capacity interval are taken as the adjustment result of the heat storage weather type of the pipe network, that is, in the adaptation deviation weather types of the target capacity interval, the heat supply is processed by using the form of pipe network heat storage.

[0113] Assuming the optimal selection without any type of bias, another scenario is assumed: another candidate interval D, which fits weather types OT-3 and OT-4 (two types of variable types), and the fitting bias weather type is OT-5 (a new, gently fluctuating two types of variable types).

[0114] Since the fitting bias weather type OT-5 does not belong to the one type of variable type, the risk is controllable, and the process continues.

[0115] Optimal interval selection: Assuming there are multiple such candidate intervals (such as D1, D2, D3). The system compares the "end points" (such as the lower limit value of the interval, representing the minimum heat storage guarantee capability) of these intervals, and selects the interval with the smallest end point as the target capacity interval. This embodies the economic principle of "saving heat storage capacity configuration as much as possible and reducing energy regulation frequency under the premise of meeting the requirements".

[0116] Determination of the final adjustment result: Target capacity interval: assume it is interval D1.

[0117] Adjustment result of the pipe network heat storage weather type: add the fitting bias weather type (OT-5 in this example) under the target capacity interval D1 to the original "pipe network heat storage weather type" list.

[0118] Decision explanation: This means that after simulation verification, when the system runs with the optimized heat storage capacity control interval D1, it not only can serve the original pipe network heat storage weather type (such as WT-1), but also can safely and reliably cover new weather types like OT-5. Therefore, the system officially adjusts the strategy: in the future, when the forecast weather is OT-5 type, the pipe network heat storage mode is also automatically enabled for heating support. Embodiment 2

[0119] In a second aspect, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the above-mentioned heat and electricity decoupling control method for a heat and electricity unit.

[0120] Each embodiment in the specification is described in a progressive manner, and the same and similar parts between each embodiment can be referred to each other. Each embodiment focuses on the difference from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiment.

[0121] The above-described embodiments of the application have special structure and can achieve the desired results. Other embodiments can have different structures and achieve the same results. The purpose of the above-described embodiments is to illustrate the principles of the application and not to limit the scope of the application. The scope of the application is defined by the claims and their equivalents. Other embodiments are within the scope of the claims.

[0122] The above description is merely illustrative of the embodiments of the present application and is not intended to limit the scope of the present application. Various modifications can be made by those skilled in the art based upon the teachings disclosed herein. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application shall fall within the scope of the claims of the present application.

Claims

1. A thermoelectric decoupling control method for a thermal power unit, characterized in that, Specifically, it includes: S1 acquires the limited data of the heating load of the thermal power unit, determines the matching deviation between the heating load and the heating demand based on the analysis results of the limited data of the heating load, and proceeds to the next step when it is determined that the control processing of the thermal storage device is required based on the matching deviation. S2 classifies weather types and determines the periods of insufficient heating in a weather type based on the matching deviation between heating load and heating demand. Based on the variation data of the periods of insufficient heating, it determines whether it is necessary to use the heating network for heat storage and identifies the weather types that require the use of the heating network for heat storage as the heat storage weather types. S3, based on the composition data of the heat storage weather type in the weather type with insufficient heating period, and combined with the change type of insufficient heating period in other weather types that do not belong to the heat storage weather type, determines whether to adjust the heat storage capacity range. When adjusting the heat storage capacity range, the degree of adjustment matching of the capacity control range under different weather types is used to determine the adjustment result of the heat storage weather type.

2. The thermoelectric decoupling control method for a thermal power unit as described in claim 1, characterized in that, The limited data of the heating load is: based on the time periods when the heating load cannot extract the required heating capacity due to load limitations, and the corresponding shortage information.

3. The thermoelectric decoupling control method for a thermal power unit as described in claim 1, characterized in that, The mismatch between the heating load and the heating demand is determined based on the amount of deviation between the heating load and the heating demand.

4. The thermoelectric decoupling control method for a thermal power unit as described in claim 1, characterized in that, Based on the matching deviation, it is determined that control processing of the thermal storage device is required, specifically including: Based on the aforementioned matching deviation, the time periods in which the heating supply is less than the heating demand due to limited heating supply are identified and designated as periods of insufficient heating. Determine whether control measures for the thermal storage device are needed based on the periods of insufficient heating on different dates.

5. The thermoelectric decoupling control method for a thermal power unit as described in claim 1, characterized in that, The weather types are divided according to the ambient temperature range and the wind speed range. Specifically, dates that fall within the same ambient temperature range and wind speed range are classified into the same weather type.

6. The thermoelectric decoupling control method for a thermal power unit as described in claim 1, characterized in that, The method for determining the weather type of the pipeline thermal storage is as follows: Based on the variation data of insufficient heating periods in the aforementioned weather type, determine the dates in the aforementioned weather type where there are insufficient heating periods, and use these dates as insufficient heating dates; Based on the number of periods of insufficient heating on different days with insufficient heating, determine the deviation in the number of periods of insufficient heating between different days with insufficient heating; Based on the data on the dates of insufficient heating and the deviation in the number of periods of insufficient heating between different dates, it is determined whether the weather type is a pipeline thermal storage weather type.

7. The thermoelectric decoupling control method for a thermal power unit as described in claim 6, characterized in that, Based on the data on insufficient heating dates and the deviation in the number of insufficient heating periods between different insufficient heating dates, it is determined whether the weather type is a pipeline heat storage weather type, specifically including: Based on the proportion of days with insufficient heating in the corresponding weather type, determine whether the proportion of days with insufficient heating in the corresponding weather type is greater than a preset proportion threshold. If yes, proceed to the next step; otherwise, determine that the weather type does not belong to the pipeline heat storage weather type. Obtain the number of heating shortage periods in different heating shortage dates within the given weather type, and determine whether the average number of heating shortage periods in different heating shortage dates within the corresponding weather type is greater than a preset threshold number of periods. If yes, determine that the weather type belongs to the pipeline heat storage weather type; otherwise, proceed to the next step. The average number of insufficient heating periods in different insufficient heating dates in the current weather type is used as the base period number. It is then determined whether the base period number is greater than the preset period number threshold two. If yes, proceed to the next step; otherwise, it is determined that the weather type does not belong to the pipeline heat storage weather type. By analyzing the deviation in the number of periods of insufficient heating between different dates of insufficient heating, the deviation between the number of different dates of insufficient heating and the reference period is determined. Based on the deviation between the number of different dates of insufficient heating and the reference period, it is determined whether the weather type belongs to the pipeline heat storage weather type.

8. The thermoelectric decoupling control method for a thermal power unit as described in claim 1, characterized in that, The method for determining the adjustment results of the weather type for the pipeline thermal storage is as follows: The degree of adjustment and matching of the capacity control range under different weather types is used to determine whether the capacity control range can meet the heating demand during periods of insufficient heating on dates under different weather types. The heating matching date will be the date that can meet the heating demand during all periods of insufficient heating under other weather conditions; Based on the heating matching date data of the capacity control range under other weather types, and combined with the variation type of the insufficient heating period under other weather types, the adjustment result of the pipeline heat storage weather type is determined.

9. The thermoelectric decoupling control method for a thermal power unit as described in claim 8, characterized in that, Based on the heating matching date data of the capacity control range under other weather types, and combined with the variation type of the insufficient heating period under other weather types, the adjustment result of the pipeline heat storage weather type is determined as follows: The heating matching factor of the capacity control interval is determined by the proportion of the heating matching dates of the capacity control interval under other weather types. Other weather types with a heating matching factor greater than a preset matching factor threshold are taken as suitable weather types. It is determined whether the proportion of the suitable weather type in the capacity control interval among other weather types is greater than a preset weather type proportion threshold. If so, the capacity control interval is determined to be a suitable capacity interval and proceeds to the next step. If not, the capacity control interval is determined not to be a suitable capacity interval. Other weather types that do not belong to the suitable weather type in the suitable capacity range are taken as the suitable deviation weather types. It is determined whether there is a type of variable suitable deviation weather type in the suitable deviation weather types. If so, it is determined that the adjustment result of the pipeline thermal storage weather type cannot be determined in the suitable capacity range. If not, proceed to the next step. Among the adaptive capacity ranges in the adaptive capacity ranges where there is no type of variation, the smallest adaptive capacity range is taken as the target capacity range. The adaptive capacity range is taken as the adaptive capacity range and the weather type is taken as the adjustment result of the pipeline heat storage weather type. That is, in the adaptive capacity range of the weather type, the pipeline heat storage is used for heating.

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 thermoelectric decoupling control method for a thermal power unit as described in any one of claims 1-9.

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