A method for collaborative management of heat supply at the end of a secondary network of power generation and heat supply of a thermal power unit

Abstract

The application discloses a kind of power generation and heat supply secondary network end heat supply collaborative management method of thermal power generating unit, belong to heat supply power supply management field, method includes: according to the current heat supply of thermal power generating unit and the minimum heat supply required to meet secondary network buffer, the reducible heat supply of thermal power generating unit is calculated;Determine whether the total amount of current available thermal storage supports reducing the reducible heat supply under the constraint of allowing minimum room temperature, if yes, then execute under-supply operation to reduce heat output in heat source measurement, and record the cumulative under-supply heat during under-supply in real time;Determine whether current has heat supply over-supply condition, if yes, then execute over-supply operation to increase heat output in heat source measurement, utilize the cumulative over-supply heat during over-supply to compensate cumulative under-supply heat.This method not only improves the flexibility of thermal power generating unit, but also guarantees the quality of secondary network end heat supply.

Description

Technical Field

[0001] This application belongs to the field of heating and power supply management, and specifically relates to a method for coordinated management of power generation by thermal power units and heating at the end of the secondary heating network. Background Technology

[0002] Clean energy sources, represented by wind power and solar power, have seen a continuous increase in installed capacity and power generation share in the power system. However, the inherent volatility and intermittency of new energy power generation pose unprecedented challenges to the real-time power balance and peak-shaving capabilities of the power system. Against this backdrop, the operational flexibility (the ability to rapidly adjust load and perform deep peak shaving) of coal-fired combined heat and power units (hereinafter referred to as thermal power units), which are traditional main power sources and core peak-shaving resources, has become crucial for supporting the high proportion of new energy consumption and ensuring the safe and stable operation of the power grid.

[0003] For thermal power units responsible for winter heating, their operation has long been severely constrained by the heat-driven power generation model. During the heating season, to meet the rigid heating demands of residential and industrial users, thermal power units must maintain a high minimum generating load, significantly compressing their power output adjustment range and making it difficult to perform deep peak shaving tasks. A more prominent contradiction lies in the fact that when the power system experiences a power shortage due to a sudden drop in renewable energy output or a surge in electricity load, urgently requiring thermal power units to rapidly increase their generating capacity (i.e., ensuring power generation), these units often have to reduce external heat supply, or even sacrifice heating to guarantee power generation. This operation mode, which prioritizes power generation at the expense of heating, directly leads to a decrease in indoor temperature for users at the end of the heating network, compromising heating quality and impacting people's well-being and social stability.

[0004] To solve the aforementioned thermoelectric decoupling problem, existing technical solutions mainly employ the following two methods: 1. Hardware Retrofitting: The core idea is to add additional heat storage or generation equipment to the thermal power unit, such as large thermal storage tanks, electrode boilers, or electric heat pumps. These devices store or generate heat during peak power generation periods, replacing some of the unit's heat output and thus freeing up power generation from the heating load. However, this approach has significant limitations: the initial investment cost is extremely high, often reaching tens of millions of yuan per unit; it also requires a large amount of land, making implementation extremely difficult for older power plants with limited space; and the operation and maintenance of the new equipment introduces additional complexity. Therefore, this approach is difficult to promote on a large scale in terms of both economic viability and applicability.

[0005] 2. Operational optimization: Without large-scale hardware modifications, short-term decoupling is achieved by optimizing the operation strategy of the heating system. For example, by adjusting parameters such as the water supply temperature and flow rate of the primary pipeline, the thermal inertia of the pipeline itself can be used to provide a limited buffer. However, most solutions only roughly consider the heat storage of the primary pipeline and ignore the secondary network, which has a wider coverage and huge heat storage potential. They lack real-time monitoring of the end-point heating situation and cannot dynamically control the end-point heating.

[0006] The existing solution fails to link and control the power generation status of thermal power units with the heating quality of end users in the secondary grid in real time, and cannot respond dynamically and collaboratively to rapidly changing grid commands, making it difficult to balance the speed of peak-shaving response with the stability of heating quality. Summary of the Invention

[0007] To address the aforementioned issues, this application provides a method for coordinated management of power generation and secondary network terminal heating in thermal power units, which not only improves the flexibility of thermal power units but also ensures the quality of secondary network terminal heating.

[0008] The technical solution is as follows: A method for coordinated management of power generation and secondary heating network terminal heating of thermal power units includes: In response to the power generation increase order, the available reduction in heat supply ΔQ for the thermal power units is calculated based on the current heat supply of the thermal power units and the minimum heat supply required to meet the secondary grid buffer requirements. cut ; Based on the monitoring data at the end of the secondary network, calculate the current available total heat storage capacity Q of the secondary network. stotal Determine the minimum permissible room temperature T. rmin Under constraints, the current available total heat storage capacity Q stotal Does it support reducing the heat supply ΔQ that can be reduced? cut If so, then a short-supply operation is performed at the heat source to reduce heat output, and the cumulative short-supply heat Q during the short-supply period is recorded in real time. csum ; Monitor the real-time power generation of thermal power units and determine whether the conditions for over-supply of heat are met. If so, execute over-supply operations at the heat source to increase heat output, and utilize the accumulated over-supply heat Q during the over-supply period. ssum Compensation for the cumulative under-supply of heat Q csum .

[0009] Furthermore, the heat supply reduction ΔQ of thermal power units cut The calculation formula is as follows: ΔQ cut =Q hcurrent -Q hmin Among them, Q hcurrent Q represents the current heat supply of the thermal power unit.hmin To meet the minimum heat supply required for the secondary network buffer.

[0010] Furthermore, based on the monitoring data at the end of the secondary network, the current available total heat storage Q of the secondary network is calculated. stotal ,include: Collect monitoring data at the end of the secondary network, including water supply pipe temperature T. s , return water pipe temperature T r Real-time flow at the endpoint Q end Valve opening degree α and actual indoor temperature T room And calculate the average heating temperature T of the secondary network. savg and terminal average room temperature T ravg ; Obtain the basic parameters of the secondary network, including the total pipeline volume V, the density of the heat medium ρ, the specific heat capacity of the heat medium c, the building's equivalent heat storage coefficient K, and the total area of ​​the covered buildings S; Based on the monitoring data at the end of the secondary network and the basic parameters, the heat storage capacity Q of the heat medium in the secondary network is calculated respectively. spipe and building heat storage Q sbuild ; Q spipe =ρ×V×c×(T savg -T ravg ) Q sbuild =K×S×(T ravg -T rmin ) Among them, T rmin Minimum permissible room temperature; According to the heat storage capacity Q of the heat medium spipe and building heat storage Q sbuild Calculate the current available total heat storage Q of the secondary network. stotal Q stotal =Q spipe +Q sbuild .

[0011] Furthermore, the determination is made at the lowest permissible room temperature T. rmin Under constraints, the current available total heat storage capacity Q stotal Does it support reducing the heat supply ΔQ that can be reduced? cut If so, then an undersupply operation is performed at the heat source to reduce heat output, including: Based on the currently available total heat storage capacity Q stotal and the aforementioned reduction in heat supply ΔQ cut Calculate the maximum allowable undersupply duration t cmax , t cmax =Q stotal / ΔQ cut ; Determine the maximum allowable undersupply duration t cmax Whether it is not less than the power generation maintenance duration required to respond to the power generation increase command, and whether the average room temperature T at the end of the secondary grid is... ravg Not lower than the minimum allowable room temperature T rmin ; If so, then the current available total heat storage capacity Q stotal Supports reducing the heat supply ΔQ that can be reduced. cut ; An undersupply operation is performed at the heat source, the undersupply operation including at least one of the following: reducing the temperature of the heat medium in the heat exchange station and reducing the flow rate of the circulating pump.

[0012] Furthermore, the cumulative heat supply deficit Q during the period of undersupply csum The calculation formula is as follows: Q csum =∫(Q hnormal -Q hactual )dt Among them, Q hnormal The preset baseline heat supply for the secondary network, Q hactual This represents the real-time heating supply during the period of insufficient supply, where t is the time of the insufficient supply operation.

[0013] Furthermore, the determination of whether the current heating supply exceeds the allowable conditions includes: When the real-time power generation P of the thermal power unit is monitored gen When the preset time is lower than the demand threshold, calculate the maximum excess heat Q that the thermal power unit can supply. smax Q smax =Q hmax -Q hnormal , where Q hmax Q is the maximum heat supply of the thermal power unit. hnormal Provide the preset benchmark heat supply for the secondary network; Compare the current maximum available heat supply Q smax With the cumulative under-supply heat Q csum ; If Q smax ≥Q csum If so, the current conditions for a single, complete compensation for the oversupply of heat are met; If Q smax <Q csum Therefore, the current conditions for complete compensation for over-supply of heating in a single instance are not met, and the over-supply period is calculated based on the duration t of each phase. sbatch Execute oversupply operation, t sbatch =Q csum / Q smax .

[0014] Furthermore, the oversupply operation is performed at the heat source to increase heat output, utilizing the accumulated oversupply heat Q during the oversupply period.ssum Compensation for the cumulative under-supply of heat Q csum ,include: The cumulative under-supply heat Q csum As a target to compensate for heat, at least one oversupply operation is performed at the heat source, including raising the temperature of the heat medium at the heat exchange station and increasing the flow rate of the circulating pump. Real-time recording of the cumulative excess heat Q during the oversupply period ssum And determine whether the following conditions are met: The cumulative excess heat supply Q ssum The target heat compensation is achieved, and the average room temperature T at the end of the secondary network is [not specified]. ravg The absolute difference between the room temperature and the preset reference room temperature is less than the preset first threshold. If so, then stop the oversupply operation.

[0015] Furthermore, the cumulative excess heat supply Q ssum The calculation formula is: Q ssum =∫(Q hactual -Q hnormal ) dt Among them, Q hnormal The preset baseline heat supply for the secondary network, Q hactual The real-time heat supply during the oversupply period is represented by t, which is the oversupply operation time.

[0016] Furthermore, during the oversupply operation, the actual indoor temperature T at the secondary network terminal is monitored. room Does it exceed the maximum allowable temperature T? rmax If so, the oversupply operation will be subject to a limit adjustment.

[0017] Furthermore, in the cumulative excess heat supply Q ssum After compensating for the accumulated shortfall in heat supply Q csum Subsequently, the method further includes: Verify whether the total heating supply at the end of the secondary network has returned to balance; The verification of whether the total heating supply at the end of the secondary network has returned to balance specifically includes: Calculate the first cumulative heat consumption at the end of the secondary network within a complete verification cycle that includes both undersupply and oversupply. During another complete verification cycle with no undersupply and oversupply, calculate the second cumulative heat consumption at the end of the secondary network; If the absolute difference between the first cumulative heat consumption and the second cumulative heat consumption is less than a preset second threshold, then it is determined that the total heating supply at the end of the secondary network has been restored to balance.

[0018] Compared with the prior art, this application has the following advantages: (1) Establish a dynamic linkage mechanism between power generation demand, secondary grid heat storage capacity and heating status to quickly respond to grid peak regulation and ensure the quality of end-point heating. (2) Only IoT devices need to be deployed at the end of the secondary network to release peak-shaving capacity using the existing secondary network heat storage capacity, which is suitable for the renovation of old power plants and has low renovation cost; (3) The cumulative under-supply and over-supply of heat are calculated by integral method, and the cumulative under-supply of heat is used as the target heat compensation to ensure long-term balance of total heat supply and stable indoor temperature.

[0019] Other features and advantages of this application 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 application. The objectives and other advantages of this application may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart of the collaborative management method for power generation and heating at the end of the secondary network of thermal power units, according to an embodiment of this application, is shown. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0023] like Figure 1 As shown in the figure, this application provides a method for coordinated management of power generation and secondary network terminal heating of thermal power units, including: S1. In response to the power generation increase command, calculate the heat supply reduction ΔQ of the thermal power unit based on the current heat supply of the thermal power unit and the minimum heat supply required to meet the secondary grid buffer. cut ; S2. Based on the monitoring data at the end of the secondary network, calculate the current available total heat storage Q of the secondary network. stotal Determine the minimum permissible room temperature T. rminUnder constraints, the current available total heat storage capacity Q stotal Does it support reducing the heat supply ΔQ that can be reduced? cut If so, then a short-supply operation is performed at the heat source to reduce heat output, and the cumulative short-supply heat Q during the short-supply period is recorded in real time. csum ; S3. Monitor the real-time power generation of the thermal power unit and determine whether the conditions for over-supply of heat are met. If so, execute an over-supply operation at the heat source to increase heat output and utilize the accumulated over-supply heat Q during the over-supply period. ssum Compensation for the cumulative under-supply of heat Q csum .

[0024] This application establishes a dynamic linkage mechanism between power generation demand, secondary grid heat storage capacity, and heating status, enabling rapid response to grid peak shaving while ensuring stable end-point heating. Furthermore, this application only requires the deployment of IoT devices at the end of the secondary grid to utilize existing secondary grid heat storage to release peak shaving capacity, making it suitable for the renovation of old power plants with low renovation costs.

[0025] In this embodiment of the application, the heat supply reduction ΔQ of the thermal power unit is... cut The calculation formula is as follows: ΔQ cut =Q hcurrent -Q hmin Among them, Q hcurrent Q represents the current heat supply of the thermal power unit. hmin To meet the minimum heat supply required for the secondary network buffer.

[0026] In this embodiment of the application, step S2, which involves calculating the current available heat storage capacity of the secondary network based on the monitoring data at the end of the secondary network, includes: 1. Collect monitoring data at the end of the secondary network, including water supply pipe temperature T. s , return water pipe temperature T r Real-time flow at the endpoint Q end Valve opening degree α and actual indoor temperature T room Calculate the average heating temperature T of the secondary network. savg and terminal average room temperature T ravg ; Water supply pipe temperature T s and return water pipe temperature T r It is the core parameter for calculating the real-time heating capacity and average state of the heat medium in the secondary network. Preferably, the water supply pipeline temperature T s Temperature T of return water pipe r The data acquisition frequency is once every 5 minutes, used to capture the dynamic process of heating regulation. Real-time flow rate at the terminal, Q. endThe valve opening α is used to evaluate the hydraulic conditions of the pipeline network and the flow regulation capability at the end point. The real-time flow rate Q at the end point is collected by the flow sensor built into the IoT smart valve. end The preferred sampling frequency is 1 time / 3 minutes. The IoT smart valve collects the real-time valve opening α, and the preferred sampling frequency is 1 time / 1 minute.

[0027] Using N IoT smart valves deployed at the heat source (e.g., heat exchange station outlet) and the secondary network terminal (e.g., entrance to each building unit), the water supply pipe temperature T is collected respectively. s Calculate the arithmetic mean to obtain the average heating temperature T. savg The actual indoor temperature T is obtained from M room temperature sensors deployed at the end of the secondary network. room And calculate the terminal average room temperature T ravg Preferably, the actual indoor temperature T room The sampling frequency is 1 time / 5min.

[0028] 2. Obtain the basic parameters of the secondary network, including the total pipeline volume V, the density of the heat medium ρ, the specific heat capacity of the heat medium c, the equivalent heat storage coefficient of the building K, and the total area of ​​the covered building S; When the heat transfer medium is water, ρ is taken as 1000 kg / m³ and specific heat capacity c is taken as 4.2 kJ / (kg·m³). The equivalent heat storage coefficient K of a building is determined according to the building type. For example, the K value for a brick-concrete structure building is 120 kJ / (m²). ℃).

[0029] 3. Based on the monitoring data and basic parameters at the end of the secondary network, calculate the heat storage capacity Q of the heat medium in the secondary network. spipe and building heat storage Q sbuild ; Q spipe =ρ×V×c×(T savg -T ravg ) Q sbuild =K×S×(T ravg -T rmin ) Among them, T rmin Minimum room temperature allowed (e.g., 16°C).

[0030] 4. Based on the heat storage capacity Q of the heat medium spipe and building heat storage Q sbuild Calculate the current available total heat storage Q of the secondary network. stotal Q stotal =Q spipe +Q sbuild .

[0031] In this embodiment, the secondary network is considered as a composite heat storage system consisting of the heat medium flowing in the pipes and the heated building body. A quantitative model is established, including a heat medium heat storage calculation model and a building heat storage calculation model. The calculated heat medium heat storage Q is then used to calculate the heat storage capacity. spipe With building heat storage Q sbuild By adding them together, we can obtain the current available total heat storage capacity Q of the secondary network. stotal It is not the theoretical maximum heat storage capacity, but rather the buffer heat capacity that can be used immediately under the current operating conditions (specific supply and return water temperatures, room temperature) and without affecting the basic heating quality of users.

[0032] Furthermore, determine the minimum permissible room temperature T. rmin Under constraints, the determination is made at the lowest permissible room temperature T. rmin Under constraints, the current available total heat storage capacity Q stotal Does it support reducing the heat supply ΔQ that can be reduced? cut If so, then a short supply operation is performed at the heat source to reduce heat output.

[0033] Specifically, it includes: 1. Based on the currently available total heat storage capacity Q stotal and the aforementioned reduction in heat supply ΔQ cut Calculate the maximum allowable undersupply duration t cmax , t cmax =Q stotal / ΔQ cut ; Maximum allowable arrears duration t cmax This represents the total currently available heat storage (Q) generated solely by the secondary network water supply and building envelope, under ideal conditions where no building or user indoor heat storage is utilized. stotal It can support a constant rate (which can reduce the heat supply ΔQ) cut The theoretical maximum duration for reducing heat supply.

[0034] 2. Determine the maximum allowable undersupply duration t. cmax Whether it is not less than the power generation maintenance duration required to respond to the power generation increase command, and whether the average room temperature T at the end of the secondary grid is... ravg Not lower than the minimum allowable room temperature T rmin If so, then the current available total heat storage capacity Q stotal Supports reducing the heat supply ΔQ that can be reduced. cut ; Among them, the maximum allowable arrears duration t cmax ≥ The duration of guaranteed power generation, that is, ensuring the peak-shaving needs of the power grid are met. If the thermal storage duration is insufficient, it means that the current available total thermal storage Q will be insufficient before the peak-shaving command ends. stotalThe system will run out of power, posing a risk of a sudden drop in room temperature. The average room temperature T at the end of the secondary network... ravg ≥ Minimum permissible room temperature T rmin This avoids further heat reduction when the terminal room temperature is already close to the lower limit, reflecting the principle of prioritizing people's livelihood.

[0035] Only when both of the above conditions are met simultaneously can the current state be deemed safe, allowing the undersupply operation to be carried out, effectively preventing damage to heating quality due to blindly responding to grid demand.

[0036] 3. Perform a short supply operation at the heat source, wherein the short supply operation includes at least one of the following: reducing the temperature of the heat medium in the heat exchange station and reducing the flow rate of the circulating pump.

[0037] For example, by adjusting the primary-side valves or control logic of the heat exchange station, the temperature of the hot water supplied to the secondary network can be reduced; or, by reducing the frequency or opening of the secondary network circulation pump, the circulation speed of the heat medium can be decreased, thereby reducing the amount of heat delivered to the terminal per unit time. In actual control, these two methods are often used in combination to achieve more precise and rapid heating regulation.

[0038] This application establishes a quantitative safety decision-making model that uses the secondary network's heat storage capacity as a constraint and the minimum allowable room temperature as a baseline, transforming the theoretical heat storage potential of the secondary network into an operational command for insufficient supply during actual operation.

[0039] In this embodiment of the application, the cumulative heat supply shortage Q during the period of insufficient supply is... csum The calculation formula is as follows: Q csum =∫(Q hnormal -Q hactual )dt Among them, Q hnormal The preset baseline heat supply for the secondary network, Q hactual This represents the real-time heating supply during the period of insufficient supply, where t is the time of the insufficient supply operation.

[0040] Preset baseline heating capacity Q hnormal This refers to the amount of heat that should theoretically be provided to maintain the designed room temperature (e.g., 20°C) under current outdoor weather conditions. It is usually determined by empirical models or historical operating curves based on parameters such as outdoor temperature, heating area, and building thermal characteristics. It is a dynamic reference value.

[0041] Real-time heating Q hactual It is calculated by real-time monitoring of the supply and return water temperature difference and flow rate at the heat exchange station outlet / inlet.

[0042] During the undersupply operation, the (Q) value is continuously calculated at each sampling time. hnormal -Q hactualThe value is calculated and integrated over time; the integrated result is the cumulative heat supply deficit Q during the period of undersupply. csum .

[0043] Furthermore, determining whether the current conditions for oversupply of heating are met specifically includes: 1. When the real-time power generation P of the thermal power unit is monitored gen When the preset time is lower than the demand threshold, calculate the maximum excess heat Q that the thermal power unit can supply. smax Q smax =Q hmax -Q hnormal , where Q hmax This provides the maximum heat supply for the thermal power unit. For example, monitoring the real-time power generation P of thermal power units gen If the power supply remains below the demand threshold for 30 minutes, it indicates that the power grid's requirements for the power generation of thermal power units have been reduced, and the thermal power units no longer need to limit the heat supply in order to ensure power generation. This demand threshold is usually the power value required to be maintained in the power dispatch instruction, or the power value that is lowered by a certain percentage (such as 10%).

[0044] Maximum heat supply Q of thermal power unit hmax This is the maximum heat supply that a thermal power unit can provide under its design operating conditions (such as when the turbine extraction steam or back pressure exhaust steam reaches its maximum value), representing the upper limit of the unit's inherent heating capacity. Current benchmark heat supply Q hnormal Q refers to the amount of heat that should be maintained to meet normal heating demand under the current outdoor temperature. hmax With Q hnormal The difference represents the maximum heat output potential that a thermal power unit can use to compensate for insufficient heat supply under current operating conditions, without affecting its safe power generation operation. In other words, it is the maximum excess heat Q that the thermal power unit can currently supply. smax .

[0045] 2. Compare the current maximum available heat supply Q. smax With the cumulative under-supply heat Q csum ; If Q smax ≥Q csum If so, the current conditions for a single, complete compensation for the oversupply of heat are met; Specifically, Q smax ≥Q csum This means that the current heating capacity of the thermal power units is sufficient to make up for all the previously accumulated heat deficit (cumulative heat deficit Q) within a continuous period by increasing the heating capacity in one go. csum Once compensation is complete, this is the most ideal and efficient compensation mode, which can quickly restore the system's thermal balance and shorten the period of room temperature fluctuations that users may perceive.

[0046] If Q smax <Q csum Therefore, the current conditions for complete compensation for over-supply of heating in a single instance are not met, and the over-supply period is calculated based on the duration t of each phase. sbatch Execute oversupply operation, t sbatch =Q csum / Q smax .

[0047] Specifically, Q smax <Q csum This often occurs when there is a significant accumulation of insufficient heat supply (such as after a long period of sustained power generation), while the thermal power unit has limited heat supply margin due to other operational constraints (such as the electrical load not being able to drop too low, extraction steam parameter limitations, etc.). A single, complete compensation is insufficient, therefore a phased, flexible compensation approach is adopted. Q csum With Q smax The meaning of the ratio is that if the maximum heat that the thermal power unit can currently supply is Q, then... smax How long does continuous compensation theoretically require (duration t of each phase of oversupply)? sbatch Only then can the cumulative shortfall in heat supply Q be completed. csum The repayment.

[0048] Oversupply Duration (t) sbatch This is the core basis for formulating a phased compensation plan. For example, if t sbatch If the heat debt is 6 hours, a phased compensation plan can be formulated. For example, during the next three days, the heat supply can be increased by 2 hours each day during off-peak heating periods. This can break down the large heat debt into multiple smaller compensation tasks that have less impact on the units and heating network.

[0049] According to the embodiments of this application, if the conditions for a single full compensation are not currently met, a phased compensation plan is initiated, and the compensation is calculated based on the oversupply duration t of each phase. sbatch The generation of specific phased compensation schemes demonstrates the flexibility and practicality of this method, ensuring that even when unit capacity is limited, heat balance can be achieved in a safe and gradual manner, rather than abandoning compensation or engaging in unsafe forced oversupply.

[0050] In this embodiment, if the conditions for a single, fully compensated over-supply of heat are currently met, an over-supply operation is performed at the heat source to increase heat output, utilizing the accumulated over-supply heat Q during the over-supply period. ssum Compensation for the cumulative under-supply of heat Q csum .

[0051] Specifically, it includes: 1. The cumulative under-supply heat Q csum As a target to compensate for heat, at least one oversupply operation is performed at the heat source, including raising the temperature of the heat medium at the heat exchange station and increasing the flow rate of the circulating pump. In this step, the heat supply from the heat source can be rapidly increased by raising the temperature of the heat medium at the heat exchange station. Alternatively, the circulation speed or opening of the secondary network circulation pump can be increased to increase the circulation velocity of the heat medium in the pipe network, thereby delivering more heat under the same supply and return water temperature difference. In actual control, the heating method is usually preferred due to its higher efficiency and smaller impact on pump consumption. When rapid response or specific hydraulic regulation is required, flow regulation can be used as a supplement. These two methods can be used individually or in combination to increase the real-time heat supply.

[0052] 2. Record the cumulative excess heat Q during the oversupply period in real time. ssum And determine whether the following conditions are met: The cumulative excess heat supply Q ssum The target heat compensation is achieved, and the average room temperature T at the end of the secondary network is [not specified]. ravg The absolute difference between the room temperature and the preset reference room temperature is less than the preset first threshold. If so, then stop the oversupply operation.

[0053] Preset reference room temperature T rnormal This refers to the desired comfortable room temperature under normal heating conditions, typically 18-20℃. The preset first threshold refers to the allowable room temperature fluctuation tolerance, preferably 0.5~1.5℃.

[0054] In this embodiment of the application, the cumulative excess heat supply Q ssum The calculation formula is: Q ssum =∫(Q hactual -Q hnormal ) dt Among them, Q hnormal The preset baseline heat supply for the secondary network, Q hactual The real-time heat supply during the oversupply period is represented by t, which is the oversupply operation time.

[0055] In this embodiment, if the over-supply operation is stopped only when the accumulated over-supply heat reaches the target compensation heat, there is a risk that the compensation is adequate but unevenly distributed. If the room temperature fluctuation tolerance condition is met and heat compensation is ignored as sufficient, it may lead to over-compensation, with excessive heat potentially accumulating near the pipeline network or in specific buildings, causing overheating in these areas while areas further away still feel insufficient. Based on the constraints of this embodiment, the timing of compensation completion is accurately determined through dual feedback of heat and temperature, ensuring that heat balance is achieved during the heat compensation process, while also protecting user experience and preventing resource waste.

[0056] According to a preferred embodiment, during the oversupply operation, the actual indoor temperature T at the secondary network terminal is monitored. room Does it exceed the maximum allowable temperature T? rmaxIf so, the oversupply operation will be subject to a limit adjustment.

[0057] During oversupply operation, if the actual indoor temperature T of any one or more terminal units is detected... room Exceeding the set maximum allowable temperature T rmax (For example, at 27°C), since the global heat compensation target has not yet been achieved, the entire oversupply operation will not be stopped immediately. Instead, the ongoing oversupply operation command will be dynamically adjusted or limited. For example, if the heat medium temperature of the heat exchange station is currently being increased for oversupply, the rate of increase or set value of the heat medium temperature will be temporarily reduced; if oversupply is being carried out by increasing the circulation pump flow rate, the flow rate increase will be appropriately adjusted back, thereby ensuring that heat compensation continues at the currently allowed maximum rate without triggering overheating of more terminal units. Fine-grained control of compensation, monitoring, and adjustment will be continuously performed throughout the oversupply period.

[0058] Although the proposed solution establishes a balance mechanism for accurate recording of insufficient heat supply and quantitative compensation for excessive heat supply, there may still be sources of error that are difficult to completely eliminate in actual operation. For example, the measurements of flow meters and temperature sensors have certain accuracy limitations and drift; there are calibration deviations between the reference heat supply and parameters such as the building heat storage coefficient K; and the additional heat loss caused by heat dissipation along the pipeline and user behavior (such as opening windows) may be asymmetrical during periods of insufficient and excessive heat supply.

[0059] Therefore, in the cumulative excess heat supply Q ssum After compensating for the accumulated shortfall in heat supply Q csum Finally, this method also includes: verifying whether the total heating supply at the end of the secondary network has been restored to balance.

[0060] The verification of whether the total heating supply at the end of the secondary network has returned to balance specifically includes: 1. Calculate the first cumulative heat consumption at the end of the secondary network within a complete verification cycle that includes both undersupply and oversupply; A complete verification cycle, as described in this step, refers to the entire time interval from the start of a shortfall operation to the completion of the corresponding oversupply compensation, encompassing the entire process of heat lending and repayment. Longer cycles, such as a peak-shaving day (24 hours), can also be defined according to management needs.

[0061] The formula for calculating the cumulative heat consumption Q is: Q = ∫(ρ × Q) end ×c×(T s -T r )) dt.

[0062] 2. During another complete verification cycle with no undersupply or oversupply, calculate the second cumulative heat consumption at the end of the secondary network; In this step, a historical period with meteorological conditions (mainly average outdoor temperature) that are the same or highly similar to those of the above complete verification cycle is selected as another complete verification cycle, and no under-supply or over-supply operations are performed during this historical period, and the heating is in a stable state.

[0063] 3. If the absolute difference between the first cumulative heat consumption and the second cumulative heat consumption is less than a preset second threshold, it is determined that the total heating supply at the end of the secondary network has been restored to balance.

[0064] In this step, if the absolute difference between the first cumulative heat consumption and the second cumulative heat consumption is less than the threshold (2% of the second cumulative heat consumption), it is determined that the total heat supply has been restored to balance after the completion of this under-supply and over-supply operation.

[0065] The method provided in this application achieves a balance in terms of economy, accuracy, and synergy, as specifically demonstrated below: Economic efficiency: No need to add hardware equipment such as heat storage tanks and electric boilers. The decoupling of heat and electricity is achieved only through IoT valve modification and software algorithm optimization, reducing the modification cost by more than 80%. It is suitable for old power plants and heating networks. Accuracy: Real-time monitoring of the terminal status through IoT valves, combined with integral method to accurately record under-supply and over-supply of heat, to achieve quantitative compensation, the total heat supply balance error is controlled within 2%, avoiding the problem of heat supply imbalance caused by inaccurate compensation estimation in traditional schemes; Synergy: Establish a synergy mechanism between electricity market demand and secondary grid heating. Thermal power units can increase their power generation load during periods of undersupply, with a response speed of within 30 minutes. At the same time, oversupply compensation ensures the quality of heating for users, improves the power generation flexibility of thermal power units, and simultaneously guarantees the dual goals of stable heating.

[0066] Based on the same inventive concept, this application also provides an electronic device, including: a memory and a processor, wherein the processor is used to read and execute a computer program stored in the memory to realize the aforementioned method for coordinated management of power generation and secondary heating network terminal heating of thermal power units.

[0067] Based on the same inventive concept, this application also provides a computer storage medium storing computer-executable instructions, which, when executed, realize the aforementioned method for coordinated management of power generation and secondary heating network terminal heating of thermal power units.

[0068] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0069] In the above embodiments, the descriptions of each embodiment have their own emphasis. Parts not described in detail in a particular embodiment can be found in the relevant descriptions of other embodiments. Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for coordinated management of power generation and heating at the end of the secondary network of a thermal power unit, characterized in that, The method includes: In response to the power generation increase order, the available reduction in heat supply ΔQ for the thermal power units is calculated based on the current heat supply of the thermal power units and the minimum heat supply required to meet the secondary grid buffer requirements. cut ; Based on the monitoring data at the end of the secondary network, calculate the current available total heat storage capacity Q of the secondary network. stotal Determine the minimum permissible room temperature T. rmin Under constraints, the current available total heat storage capacity Q stotal Does it support reducing the heat supply ΔQ that can be reduced? cut If so, then a short-supply operation is performed at the heat source to reduce heat output, and the cumulative short-supply heat Q during the short-supply period is recorded in real time. csum ; Monitor the real-time power generation of thermal power units and determine whether the conditions for over-supply of heat are met. If so, execute over-supply operations at the heat source to increase heat output, and utilize the accumulated over-supply heat Q during the over-supply period. ssum Compensation for the cumulative under-supply of heat Q csum .

2. The method according to claim 1, characterized in that, The heat supply reduction ΔQ of thermal power units cut The calculation formula is as follows: ΔQ cut =Q hcurrent -Q hmin Among them, Q hcurrent Q represents the current heat supply of the thermal power unit. hmin To meet the minimum heat supply required for the secondary network buffer.

3. The method according to claim 1, characterized in that, The current available total heat storage Q of the secondary network is calculated based on the monitoring data at the end of the secondary network. stotal ,include: Collect monitoring data at the end of the secondary network, including water supply pipe temperature T. s , return water pipe temperature T r Real-time flow at the endpoint Q end Valve opening degree α and actual indoor temperature T room And calculate the average heating temperature T of the secondary network. savg and terminal average room temperature T ravg ; Obtain the basic parameters of the secondary network, including the total pipeline volume V, the density of the heat medium ρ, the specific heat capacity of the heat medium c, the building's equivalent heat storage coefficient K, and the total area of ​​the covered buildings S; Based on the monitoring data at the end of the secondary network and the basic parameters, the heat storage capacity Q of the heat medium in the secondary network is calculated respectively. spipe and building heat storage Q sbuild ; Q spipe =ρ×V×c×(T savg -T ravg ) Q sbuild =K×S×(T ravg -T rmin ) Among them, T rmin Minimum permissible room temperature; According to the heat storage capacity Q of the heat medium spipe and building heat storage Q sbuild Calculate the current available total heat storage Q of the secondary network. stotal Q stotal =Q spipe +Q sbuild .

4. The method according to claim 3, characterized in that, The judgment is based on the lowest permissible room temperature T. rmin Under constraints, the current available total heat storage capacity Q stotal Does it support reducing the heat supply ΔQ that can be reduced? cut If so, then an undersupply operation is performed at the heat source to reduce heat output, including: Based on the currently available total heat storage capacity Q stotal and the aforementioned reduction in heat supply ΔQ cut Calculate the maximum allowable undersupply duration t cmax , t cmax =Q stotal / ΔQ cut ; Determine the maximum allowable undersupply duration t cmax Whether it is not less than the power generation maintenance duration required to respond to the power generation increase command, and whether the average room temperature T at the end of the secondary grid is... ravg Not lower than the minimum allowable room temperature T rmin ; If so, then the current available total heat storage capacity Q stotal Supports reducing the heat supply ΔQ that can be reduced. cut ; An undersupply operation is performed at the heat source, the undersupply operation including at least one of the following: reducing the temperature of the heat medium in the heat exchange station and reducing the flow rate of the circulating pump.

5. The method according to claim 1, characterized in that, The cumulative heat supply deficit Q during the period of undersupply csum The calculation formula is as follows: Q csum =∫(Q hnormal -Q hactual )dt Among them, Q hnormal The preset baseline heat supply for the secondary network, Q hactual This represents the real-time heating supply during the period of insufficient supply, where t is the time of the insufficient supply operation.

6. The method according to claim 1, characterized in that, The determination of whether the current heating supply exceeds the allowable conditions includes: When the real-time power generation P of the thermal power unit is monitored gen When the preset time is lower than the demand threshold, calculate the maximum excess heat Q that the thermal power unit can supply. smax Q smax =Q hmax -Q hnormal , where Q hmax Q is the maximum heat supply of the thermal power unit. hnormal Provide the preset benchmark heat supply for the secondary network; Compare the current maximum available heat supply Q smax With the cumulative under-supply heat Q csum ; If Q smax ≥Q csum If so, the current conditions for a single, complete compensation for the oversupply of heat are met; If Q smax <Q csum Therefore, the current conditions for complete compensation for over-supply of heating in a single instance are not met, and the over-supply period is calculated based on the duration t of each phase. sbatch Execute oversupply operation, t sbatch =Q csum / Q smax .

7. The method according to claim 1, characterized in that, The process involves performing an over-supply operation at the heat source to increase heat output, utilizing the accumulated over-supply heat Q during the over-supply period. ssum Compensation for the cumulative under-supply of heat Q csum ,include: The cumulative under-supply heat Q csum As a target to compensate for heat, at least one oversupply operation is performed at the heat source, including raising the temperature of the heat medium at the heat exchange station and increasing the flow rate of the circulating pump. Real-time recording of the cumulative excess heat Q during the oversupply period ssum And determine whether the following conditions are met: The cumulative excess heat supply Q ssum The target heat compensation is achieved, and the average room temperature T at the end of the secondary network is [not specified]. ravg The absolute difference between the room temperature and the preset reference room temperature is less than the preset first threshold. If so, then stop the oversupply operation.

8. The method according to claim 7, characterized in that, Cumulative excess heat supply Q ssum The calculation formula is: Q ssum =∫(Q hactual -Q hnormal ) dt Among them, Q hnormal The preset baseline heat supply for the secondary network, Q hactual The real-time heat supply during the oversupply period is represented by t, which is the oversupply operation time.

9. The method according to claim 7, characterized in that, During the oversupply operation, monitor the actual indoor temperature T at the end of the secondary network. room Does it exceed the maximum allowable temperature T? rmax If so, the oversupply operation will be subject to a limit adjustment.

10. The method according to claim 1, characterized in that, The cumulative excess heat supply Q ssum After compensating for the accumulated shortfall in heat supply Q csum Subsequently, the method further includes: Verify whether the total heating supply at the end of the secondary network has returned to balance; The verification of whether the total heating supply at the end of the secondary network has returned to balance specifically includes: Calculate the first cumulative heat consumption at the end of the secondary network within a complete verification cycle that includes both undersupply and oversupply. During another complete verification cycle with no undersupply and oversupply, calculate the second cumulative heat consumption at the end of the secondary network; If the absolute difference between the first cumulative heat consumption and the second cumulative heat consumption is less than a preset second threshold, then it is determined that the total heating supply at the end of the secondary network has been restored to balance.

Images