Active short-term heat storage system and method based on heating pipe network topology reconfiguration

Abstract

The present application relates to the technical field of heat supply system, and particularly discloses an active short-term heat storage system and method based on heat supply pipe network topology reconstruction. The present application constructs an active short-term heat storage system based on heat supply pipe network topology reconstruction, deploys a load prediction and bypass target scheduling algorithm module on a host computer platform, and configures a topology reconstruction device including a bypass pipe, a bypass electric valve and an electric valve on the primary side of each heat station. According to the deviation between the predicted instantaneous heat and the actual instantaneous heat, a bypass scheduling instruction is generated to control the flow rate of the high-temperature side heat medium bypassing to the return water pipe network through the bypass pipe, solving the problem that the prior art lacks an active short-term heat storage system based on heat network topology reconstruction and cannot fully utilize the pipe network heat storage potential to cope with heat source fluctuations and supply-demand spatial mismatch, and realizing the improvement of the overall operation efficiency of the heat supply system and the renewable energy consumption capacity.

Description

Technical Field

[0001] This invention relates to the field of heating system technology, and in particular to an active short-term thermal storage system and method based on heating network topology reconfiguration. Background Technology

[0002] Driven by the "dual carbon" goals, the heat source structure of heating systems is undergoing profound changes. Traditional regional coal-fired boiler rooms are gradually being replaced by "combined heat and power (CHP) centralized heating systems" and "regional integrated energy systems that integrate renewable energy." Although CHP centralized heating systems have the advantage of cascaded energy utilization, their heat sources are severely impacted by the large-scale grid connection of green electricity such as wind and solar power. In addition, most CHP plants still use the "heat determined by electricity" production model, which leads to frequent "temporal and spatial mismatches" between the heat supply of CHP plants and the heat demand of heat users. The supply and demand decoupling ability between heat sources and heat users is insufficient, and the flexible adjustment mechanism of the heating network is lacking, which seriously restricts the further improvement of energy utilization efficiency and heating quality. For regional integrated energy systems that integrate renewable energy sources, the inherent intermittency and uncontrollability of renewable energy sources such as wind and solar power, coupled with the significant constraints on their supply from natural factors such as climate conditions, seasonal changes, and diurnal variations, further exacerbate the operational fluctuations of the heating system, negatively impacting heating stability and efficiency. Therefore, it is urgent to mitigate the impact of renewable energy fluctuations by enhancing the flexible regulation capacity of the heating network.

[0003] Several solutions have been proposed in the existing technology to address the above problems. Patent CN119295138A discloses a regional energy system energy storage method based on flexible heating network technology. This method accurately predicts regional power generation, energy demand, and redundancy / shortage through a predictive model, and achieves intelligent optimization of energy storage and release based on an energy configuration model. Simultaneously, it employs a federated algorithm to construct a distributed enhanced control model to ensure the efficient operation of the energy storage device. However, this solution focuses on energy storage configuration at the regional energy level and does not delve into topology optimization and thermal storage scheduling at the heating network level, failing to fully exploit the thermal storage potential of the heating network itself. Patent CN119742793A proposes a method for the coordinated operation of a thermal power plant and heating network that considers heating network flexibility and electricity trading. This method utilizes the thermal inertia of the heating network and the thermal inertia of buildings for flexible adjustment in multiple time dimensions. However, its adjustment methods mainly rely on the coordination between the heat source side and the load side, lacking discussion on actively reconstructing the topology of the heating network itself to form short-term thermal storage capacity, and failing to achieve flexible allocation of thermal storage resources at the network level. Patent CN114704874B discloses a method for precise control of heating parameters in a heating station based on a flexible heating system. This method improves regulation characteristics and extends valve life by adding a bypass valve between the primary supply and return water pipes of the heating station. However, this solution only addresses localized regulation of a single heating station and fails to consider the overall heating network perspective. It does not optimize the scheduling of short-term heat storage through network topology reconstruction, making it difficult to address heat source fluctuations and supply-demand mismatches across the entire network.

[0004] In summary, although existing technologies have made some progress in areas such as flexible regulation of heating networks, energy storage configuration, and local control of heating stations, they have not effectively solved the core problem of insufficient flexibility in heating network systems. In particular, there is a lack of active short-term heat storage systems based on heating network topology reconfiguration, which cannot fully utilize the heat storage potential of the heating network to cope with heat source fluctuations and spatiotemporal mismatches between supply and demand, thus restricting further improvement in the overall operating efficiency of the heating system and the capacity for renewable energy absorption. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides an active short-term thermal storage system and method based on heating network topology reconfiguration.

[0006] In a first aspect, the present invention provides an active short-term thermal storage system based on heating network topology reconfiguration, the technical solution of which is as follows: The host computer platform includes a monitoring module, an algorithm module, and a data storage module. Multiple heating stations, each of which has a topology reconfiguration device between its primary high-temperature side supply water header and return water header. The topology reconfiguration device includes a bypass pipe, a bypass electric regulating valve installed on the bypass pipe, an electric regulating valve installed on the high-temperature side return water pipe, and a PLC controller. The monitoring module is used to communicate with the PLC controller of each of the heating stations and the heat meter at the heat source outlet to collect the operating data of each of the heating stations and the heating data at the heat source outlet. The algorithm module includes a load prediction module and a bypass target scheduling module. The load prediction module is used to predict the instantaneous heat of the heat source and each of the heating stations to obtain the predicted instantaneous heat of the heat source and the predicted instantaneous heat of each of the heating stations. The bypass target scheduling module is used to generate bypass scheduling instructions for each of the heat stations equipped with the topology reconfiguration device based on the comparison results between the predicted instantaneous heat of the heat source and the actual instantaneous heat of the heat source. The PLC controller is used to adjust the opening degree of the bypass electric regulating valve and the electric regulating valve according to the received bypass scheduling command, so as to control the flow rate of the high-temperature side heat medium bypassing to the high-temperature side return water network through the bypass pipe.

[0007] Furthermore, the PLC controller collects the high-temperature side water supply pressure, high-temperature side return water pressure, high-temperature side water supply temperature, high-temperature side return water temperature, high-temperature side mixed water temperature, low-temperature side water supply pressure, low-temperature side return water pressure, low-temperature side water supply temperature, low-temperature side return water temperature, and heat meter data within the heating station; the heat meter data includes water supply temperature, return water temperature, instantaneous heat, instantaneous flow rate, cumulative heat, and cumulative flow rate.

[0008] Furthermore, the algorithm module also includes an outer economic optimization model, which is used to determine the optimal bypass branch configuration scheme based on the project's net income and investment cost. The optimal bypass branch configuration scheme includes the number of bypass branches, the access location, the bypass pipe diameter, and the nominal diameter of the bypass valve's electric regulating valve.

[0009] Furthermore, the net income of the project is calculated using the following formula: ; in, Indicates the corresponding pipeline topology reconfiguration scheme Net income of the project This represents the equivalent economic benefit of the unit heat storage increment in the primary return water network. Indicates the density of the heat transfer medium. This represents the specific heat capacity of water at constant pressure. Indicates the first day of the heating season Water supply temperature at a typical outdoor ambient temperature. Indicates the outdoor ambient temperature High-temperature side return water temperature Indicating a pipeline topology reconfiguration scheme and average outdoor temperature The total volume of the high-temperature bypass heat medium below Indicates the first day of the heating season Weighting coefficients for a typical outdoor ambient temperature.

[0010] Furthermore, the total volume of the high-temperature side bypass heat medium is calculated using a heat storage quantification model based on a specific topology reconfiguration scheme. The expression for this heat storage quantification model is as follows: ; ; in, Indicating a pipeline topology reconfiguration scheme and average outdoor temperature The total volume of the high-temperature bypass heat medium below Indicates the return water pipe section The relative flow rate of the internal high-temperature bypass heat medium. Indicates the return water pipe section Water capacity, Indicates the flow through the primary network return water pipe section High-temperature bypass heat medium flow rate, Indicates the primary network return water pipe section Total flow Indicates the primary network return water pipe section inner diameter, Indicates the primary network return water pipe section The length.

[0011] Furthermore, the objective function of the outer-layer economic optimization model is: ; ;; in, This indicates the comprehensive economic benefits of heat storage in the heating network. Indicates the corresponding pipeline topology reconfiguration scheme Net income of the project Indicates the corresponding pipeline topology reconfiguration scheme Project investment costs, This indicates the proportion of the bypass control valve cost in the total cost of the bypass branch. Indicates based on the nominal diameter of the bypass control valve An abstract function for calculating its investment cost. This indicates the unit price of the bypass branch control system. Indicates heating station Whether to configure 0-1 variables for bypass branches on the primary side.

[0012] Furthermore, the constraints of the outer-layer economic optimization model include: ; in, Indicates the standard nominal diameter. This represents the set of feasible access locations for bypass branches, which consists of thermal stations with bypass flow space. Indicates the first The access point for each bypass branch.

[0013] Furthermore, the bypass target scheduling module is used to generate a thermal storage scheduling command when the actual instantaneous heat of the heat source is greater than the predicted instantaneous heat of the heat source. The PLC controller adjusts the bypass electric regulating valve and the opening degree of the electric regulating valve according to the thermal storage scheduling command, so that the high-temperature side heat medium is bypassed to the high-temperature side return water network through the bypass pipe.

[0014] Furthermore, the bypass target scheduling module is used to generate a heat release scheduling command when the actual instantaneous heat of the heat source is less than the predicted instantaneous heat of the heat source. The PLC controller adjusts the bypass electric regulating valve and the opening degree of the electric regulating valve according to the heat release scheduling command to reduce or stop the high-temperature side heat medium from bypassing to the high-temperature side return water network through the bypass pipe.

[0015] Secondly, the present invention provides an active short-term thermal storage method based on heating network topology reconfiguration, employing the active short-term thermal storage system based on heating network topology reconfiguration provided by the present invention. The technical solution of this method is as follows: The monitoring module of the host computer platform collects the operating data of each of the heating stations and the heating data of the heat source outlet. The load prediction module in the algorithm module of the host computer platform is used to predict the instantaneous heat of the heat source and each of the heating stations, so as to obtain the predicted instantaneous heat of the heat source and the predicted instantaneous heat of each of the heating stations. The bypass target scheduling module in the algorithm module generates bypass scheduling instructions for each of the heat stations equipped with the topology reconfiguration device based on the comparison results between the predicted instantaneous heat of the heat source and the actual instantaneous heat of the heat source. The PLC controller adjusts the opening of the bypass electric regulating valve and the electric regulating valve according to the received bypass scheduling command, thereby controlling the flow rate of the high-temperature side heat medium bypassing to the high-temperature side return water network through the bypass pipe.

[0016] The technical solution of this invention constructs an active short-term heat storage system based on heating network topology reconstruction. It deploys a load prediction and bypass target scheduling algorithm module on a host computer platform and configures a topology reconstruction device, including a bypass pipe, a bypass electric regulating valve, and an electric regulating valve, on the primary side of each heating station. Based on the deviation between the predicted instantaneous heat from the heat source and the actual instantaneous heat, bypass scheduling commands are generated to control the flow rate of the high-temperature heat medium bypassing the return water network through the bypass pipe. This solves the problems of existing technologies lacking an active short-term heat storage system based on heating network topology reconstruction and being unable to fully utilize the heat storage potential of the network to cope with heat source fluctuations and spatiotemporal mismatches in supply and demand. This improves the overall operating efficiency of the heating system and the capacity for renewable energy absorption.

[0017] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0019] The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 This is a schematic diagram of an embodiment of an active short-term thermal storage system based on heating network topology reconfiguration according to the present invention. Figure 2 This is a flowchart illustrating an active short-term thermal storage optimization model based on heating network topology reconfiguration. Figure 3 This is a schematic flowchart of an embodiment of an active short-term heat storage method based on heating network topology reconfiguration according to the present invention. Detailed Implementation

[0020] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0021] Figure 1 A schematic diagram of an embodiment of an active short-term thermal storage system based on heating network topology reconfiguration provided by the present invention is shown. Figure 1As shown, the system includes: The host computer platform includes a monitoring module, an algorithm module, and a data storage module. Multiple heating stations, each of which has a topology reconfiguration device between its primary high-temperature side supply water header and return water header. The topology reconfiguration device includes a bypass pipe, a bypass electric regulating valve installed on the bypass pipe, an electric regulating valve installed on the high-temperature side return water pipe, and a PLC controller. The monitoring module is used to communicate with the PLC controller of each of the heating stations and the heat meter at the heat source outlet to collect the operating data of each of the heating stations and the heating data at the heat source outlet. The algorithm module includes a load prediction module and a bypass target scheduling module. The load prediction module is used to predict the instantaneous heat of the heat source and each of the heating stations to obtain the predicted instantaneous heat of the heat source and the predicted instantaneous heat of each of the heating stations. The bypass target scheduling module is used to generate bypass scheduling instructions for each of the heat stations equipped with the topology reconfiguration device based on the comparison results between the predicted instantaneous heat of the heat source and the actual instantaneous heat of the heat source. The PLC controller is used to adjust the opening degree of the bypass electric regulating valve and the electric regulating valve according to the received bypass scheduling command, so as to control the flow rate of the high-temperature side heat medium bypassing to the high-temperature side return water network through the bypass pipe.

[0022] The technical solution of this embodiment constructs an active short-term heat storage system based on heating network topology reconstruction. A load prediction and bypass target scheduling algorithm module is deployed on the host computer platform, and a topology reconstruction device, including a bypass pipe, a bypass electric regulating valve, and an electric regulating valve, is configured on the primary side of each heating station. Based on the deviation between the predicted instantaneous heat from the heat source and the actual instantaneous heat, bypass scheduling commands are generated to control the flow of the high-temperature side heat medium bypassing the return water network through the bypass pipe. This solves the problems of existing technologies lacking an active short-term heat storage system based on heating network topology reconstruction and being unable to fully utilize the heat storage potential of the network to cope with heat source fluctuations and spatiotemporal mismatches in supply and demand. This improves the overall operating efficiency of the heating system and the capacity for renewable energy absorption.

[0023] In one optional manner, the PLC controller collects the high-temperature side supply water pressure, high-temperature side return water pressure, high-temperature side supply water temperature, high-temperature side return water temperature, high-temperature side mixed water temperature, low-temperature side supply water pressure, low-temperature side return water pressure, low-temperature side supply water temperature, low-temperature side return water temperature, and heat meter data within the heating station; the heat meter data includes supply water temperature, return water temperature, instantaneous heat, instantaneous flow rate, cumulative heat, and cumulative flow rate.

[0024] In the above-mentioned optional methods, the supply water pressure, return water pressure, supply water temperature, return water temperature, and temperature after mixing of the high-temperature and low-temperature sides of the heating station are further collected by the PLC controller, as well as the supply water temperature, return water temperature, instantaneous heat, instantaneous flow rate, cumulative heat, and cumulative flow rate of the heat meter. This solves the problem of insufficient monitoring dimensions of operating parameters and improves the heating station's ability to perceive the operating status and the level of control data support.

[0025] In an alternative embodiment, the algorithm module further includes an outer-layer economic optimization model, which is used to determine the optimal bypass branch configuration scheme based on the project's net income and project investment cost. The optimal bypass branch configuration scheme includes the number of bypass branches, access locations, bypass pipe diameter, and the nominal diameter of the bypass valve's electric regulating valve.

[0026] In the above-mentioned optional methods, an outer-layer economic optimization model is further deployed in the algorithm module to determine the optimal scheme of the number of bypass branches, access location and bypass pipe diameter based on the project net income and project investment cost. This solves the problem of lack of economic consideration in the configuration of topology reconfiguration device and achieves a comprehensive balance between investment cost and thermal storage revenue.

[0027] In an alternative approach, the net income of the project is calculated using the following formula: ; in, Indicates the corresponding pipeline topology reconfiguration scheme Net income of the project This represents the equivalent economic benefit of the unit heat storage increment in the primary return water network. Indicates the density of the heat transfer medium. This represents the specific heat capacity of water at constant pressure. Indicates the first day of the heating season Water supply temperature at a typical outdoor ambient temperature. Indicates the outdoor ambient temperature High-temperature side return water temperature Indicating a pipeline topology reconfiguration scheme and average outdoor temperature The total volume of the high-temperature bypass heat medium below Indicates the first day of the heating season Weighting coefficients for a typical outdoor ambient temperature.

[0028] Among the above-mentioned optional methods, a formula for calculating the net benefit of the project is further introduced, which includes equivalent economic benefits, heat medium density, specific heat capacity at constant pressure, supply water temperature, return water temperature, total volume of bypass heat medium, and weighting coefficient. This solves the problem of difficulty in quantifying and evaluating the economic value of thermal storage and improves the accuracy of comparing the economic benefits of different topology schemes.

[0029] In one alternative approach, the total volume of the high-temperature bypass heat medium is calculated using a heat storage quantification model based on a specific topology reconfiguration scheme. The expression for this heat storage quantification model is as follows: ; ; in, Indicating a pipeline topology reconfiguration scheme and average outdoor temperature The total volume of the high-temperature bypass heat medium below Indicates the return water pipe section The relative flow rate of the internal high-temperature bypass heat medium. Indicates the return water pipe section Water capacity, Indicates the flow through the primary network return water pipe section High-temperature bypass heat medium flow rate, Indicates the primary network return water pipe section Total flow Indicates the primary network return water pipe section inner diameter, Indicates the primary network return water pipe section The length.

[0030] Among the above-mentioned optional methods, a heat storage model for a specific topology reconfiguration scheme is further established. The total volume of the high-temperature bypass heat medium is calculated by summing the product of the relative flow rate of the high-temperature bypass heat medium and the water capacity in the return water pipe section. This solves the problem of the difficulty in accurately calculating the heat storage capacity of the pipe network and realizes the numerical evaluation of the physical potential of the heat storage space.

[0031] In one alternative approach, the objective function of the outer-layer economic optimization model is: ; ; in, This indicates the comprehensive economic benefits of heat storage in the heating network. Indicates the corresponding pipeline topology reconfiguration scheme Net income of the project Indicates the corresponding pipeline topology reconfiguration scheme Project investment costs, This indicates the proportion of the bypass control valve cost in the total cost of the bypass branch. Indicates based on the nominal diameter of the bypass control valve An abstract function for calculating its investment cost. This indicates the unit price of the bypass branch control system. Indicates heating station Whether to configure 0-1 variables for bypass branches on the primary side.

[0032] Among the above-mentioned optional methods, an outer-layer economic optimization model objective function with the goal of maximizing comprehensive economic benefits is further constructed. The difference between the project net income and the project investment cost, which includes the investment cost of the bypass control valve and the cost of the supporting control system, is calculated. This solves the problem of insufficient overall optimization of economic benefits and input costs and improves the quantitative analysis level of investment decisions.

[0033] In one alternative approach, the constraints of the outer-layer economic optimization model include: ; in, Indicates the standard nominal diameter. This represents the set of feasible access locations for bypass branches, which consists of thermal stations with bypass flow space. Indicates the first The access point for each bypass branch.

[0034] In the above-mentioned alternative approaches, the standard nominal diameter set and the feasible access location set consisting of heat stations with bypass flow space are further introduced into the outer layer economic optimization model as constraints. This solves the problem of lacking engineering feasible boundaries in the optimization solution and ensures the operability of the optimization results at the engineering implementation level.

[0035] In one alternative approach, the bypass target scheduling module is used to generate a thermal storage scheduling command when the actual instantaneous heat of the heat source is greater than the predicted instantaneous heat of the heat source. The PLC controller adjusts the bypass electric regulating valve and the opening degree of the electric regulating valve according to the thermal storage scheduling command, so that the high-temperature side heat medium is bypassed to the high-temperature side return water network through the bypass pipe.

[0036] In the above-mentioned optional methods, a heat storage scheduling command is further generated when the actual instantaneous heat of the heat source is greater than the predicted value. This command controls the high-temperature side heat medium to bypass to the return water network through the bypass pipe, which solves the problem that the waste heat is difficult to store on-site when the heat source supply exceeds demand. This realizes the transfer and storage of surplus heat to the heat storage space of the pipeline network.

[0037] In one alternative approach, the bypass target scheduling module is used to generate a heat release scheduling command when the actual instantaneous heat of the heat source is less than the predicted instantaneous heat of the heat source. The PLC controller adjusts the bypass electric regulating valve and the opening degree of the electric regulating valve according to the heat release scheduling command to reduce or stop the high-temperature side heat medium from bypassing to the high-temperature side return water network through the bypass pipe.

[0038] In the above-mentioned optional methods, a heat release scheduling command is further generated when the actual instantaneous heat of the heat source is less than the predicted value. The bypass electric regulating valve and the opening of the electric regulating valve are adjusted to reduce or stop the bypass flow, which solves the problem that the heat storage is difficult to release quickly when the heat source supply is insufficient, and realizes the return and utilization of the heat stored in the pipeline network to the heating system.

[0039] This invention proposes an active short-term heat storage system and method based on heating network topology reconfiguration. The system deploys a monitoring module, an algorithm module, and a data storage module on a host computer platform. A topology reconfiguration device is configured on the primary side of each heating station. Based on the deviation between the predicted instantaneous heat from the heat source and the actual instantaneous heat, bypass scheduling commands are generated to control the flow rate of the high-temperature heat medium bypassing the return water network through the bypass pipe, thereby achieving active short-term heat storage and release in the heating network.

[0040] like Figure 1 As shown, in this embodiment, the topology reconfiguration device is installed between the primary side high-temperature side supply water header and the return water header in each heating station. The topology reconfiguration device includes a bypass pipe, a bypass electrically adjustable valve DT2 installed on the bypass pipe, an electrically adjustable valve DT1 installed on the high-temperature side return water pipe, and a PLC controller. Remotely readable temperature and pressure sensors are installed on both the high-temperature and low-temperature side supply and return water pipes, and a circulating pump is installed on the low-temperature side. A PLC controller and a high-temperature side heat meter are configured within the heating station. The PLC controller collects the high-temperature side supply water pressure within the heating station. High-temperature side return water pressure And calculate the difference between the two. ,in and The unit is kPa. The unit is kPa. The PLC controller collects the supply water temperature, return water temperature, instantaneous heat, instantaneous flow rate, cumulative heat, and cumulative flow rate from the heat meter. The unit for temperature is ℃, the unit for instantaneous heat is GJ / h, the unit for instantaneous flow rate is t / h, the unit for cumulative heat is GJ, and the unit for cumulative flow rate is t. The PLC controller collects the high-temperature side supply water temperature. High-temperature side return water temperature Temperature after mixing Low-temperature side water supply pressure Low-temperature side return water pressure Low-temperature side water supply temperature Low-temperature side return water temperature temperature , , , , The unit is ℃, pressure , The unit is kPa. The PLC controller calculates the target opening value of the electrically controlled valve DT1 and sends it to the electrically controlled valve actuator, and calculates the target opening value of the bypass electrically controlled valve DT2 and sends it to the bypass electrically controlled valve actuator.

[0041] To achieve optimized configuration of heating network topology reconfiguration, this invention constructs a mathematical optimization model for topology reconfiguration schemes of district heating systems, including a heat storage optimization model for specific topology reconfiguration schemes and an outer layer economic optimization model. Figure 2 The overall process of this optimization model is shown. First, the relationship between flow rate and pressure drop in each pipe section is obtained through a pipe network hydraulic calculation model. The basic equations of the pipe network hydraulic calculation model are: ; ; in, The equation representing the continuity of node flow is as follows: For the node affinity matrix, This is a column matrix representing the flow rate of a pipe segment. Each element in the table represents the flow rate of each pipe section, in kg / s. The column matrix represents the node flow rate, with units of kg / s. The equation means that the sum of the flow rate flowing into each node is equal to the net outflow rate of that node.

[0042] The loop pressure balance equation is as follows: This is the basic loop matrix, where each element represents the association parameter between the loop and the pipe segment; This is a diagonal matrix of resistance characteristic coefficients, where the diagonal elements are the resistance coefficients of each pipe section. p1 is a flow rate diagonal matrix, where the diagonal elements are the absolute values ​​of the flow rate of each pipe segment, and the remaining elements are 0; p1, p2, and p3 are the coefficient matrices of the pump characteristic curve. It is a zero matrix. "" represents the product of the absolute value of the flow rate and the flow vector, used to describe the influence of the flow direction in a pipe on the friction loss. The equation means: in each closed loop, the friction loss along all pipe segments (by...) (represented) and pump head (by) The algebraic sum of the equations (denoted as ) is zero. By solving the above system of equations, the flow rate of each pipe section can be obtained. The distribution of pressure at nodes provides a hydraulic calculation basis for subsequent thermal storage models.

[0043] The objective of the heat storage maximization model for a specific topology reconfiguration scheme is to maximize the heat storage capacity under a specific bypass branch configuration. The heat storage capacity of the return water network varies across different outdoor temperature ranges, requiring the calculation of the total bypass volume for each outdoor temperature range. Outdoor temperatures are calculated using a daily granularity. ; in, This represents the average daily outdoor temperature. The unit is ℃. Indicates the first The outdoor temperature per hour, The unit is ℃. This is based on the outdoor temperature. and high-temperature side water supply temperature Cluster analysis was performed on the rate of change to determine the optimal partitioning interval. The expression for the heat storage optimization model of a specific topology reconfiguration scheme is as follows: ; ; in, Indicating a pipeline topology reconfiguration scheme and average outdoor temperature The total volume of the high-temperature bypass heat medium below The unit is m 3 , Indicates the return water pipe section The relative flow rate of the internal high-temperature bypass heat medium. Dimensionless Indicates the return water pipe section Water capacity, The unit is m 3 , Indicates the flow through the primary network return water pipe section High-temperature bypass heat medium flow rate, The unit is kg / s. Indicates the primary network return water pipe section Total flow The unit is kg / s. Indicates the primary network return water pipe section inner diameter, The unit is m. Indicates the primary network return water pipe section Length, The unit is m.

[0044] For existing heating systems and The results were obtained from hydraulic simulation software. Given a fixed topology reconfiguration scheme, the selection of an effective bypass location for the heating station must meet the heating load requirements of the original heat exchange station and ensure sufficient flow in the bypass pipe. The objective function of the optimization model for selecting the effective bypass location is: ; ; in, This represents the bypass flow sequence of all heating stations in the primary network. The unit for the element is kg / s. Indicates heating station Bypass traffic, The unit is kg / s. This represents the heat exchange flow sequence of all heating stations in the primary network. The unit for the element is kg / s. Indicates the output and return water pipe sections An abstract function of the total flow rate of the internal high-temperature bypass heat medium. Indicates the output and return water pipe sections The flow rate is a function of the total flow rate, and the input variable of this function is the bypass flow rate sequence of all heating stations in the primary network. The output physical quantity is the return water pipe section. Total flow rate of internal high-temperature bypass heat medium The calculation logic is as follows: based on the bypass flow rate of each heating station. By combining the pipeline network topology and hydraulic simulation model, and solving the nodal flow continuity equation and loop pressure balance equation, the results for each pipe section are obtained. The flow component contributed by bypass flow. Indicates the output and return water pipe sections The total flow rate is a function of the total flow rate, and the input variable of this function is the bypass flow rate sequence of all heating stations in the primary network. and heat exchange flow rate sequence The output physical quantity is the return water pipe section. Total flow The calculation logic is as follows: The bypass flow sequence... With heat exchange flow rate sequence The superimposed flow rate as the nodal injection flow is substituted into a hydraulic simulation model (such as a hydraulic calculation model established by software like EPANET or Flowerra) to solve the hydraulic balance equations of the pipe network, thus obtaining the results for each pipe segment. Full traffic The above functional relationships were all solved using hydraulic calculation models established through hydraulic simulation software.

[0045] The outer-layer economic optimization model uses net income and total investment cost The main factor is used to evaluate the overall economic benefits of the project. The objective function is: ; in, This indicates the comprehensive economic benefits of heat storage in the heating network. The unit is yuan. Indicates the corresponding pipeline topology reconfiguration scheme Net income of the project The unit is yuan. Indicates the corresponding pipeline topology reconfiguration scheme Project investment costs, The unit is yuan.

[0046] Project net income The increase in heat storage is determined by the primary return water network, and a weighted correction is made considering changes in outdoor temperature during the heating season. ; in, Indicates the corresponding pipeline topology reconfiguration scheme Net income of the project The unit is yuan. This represents the equivalent economic benefit of the unit heat storage increment in the primary return water network. The unit is yuan / J. Indicates the density of the heat transfer medium. The unit is kg / m 3 , This represents the specific heat capacity of water at constant pressure. The unit is J / (kg·℃). Indicates the first day of the heating season Water supply temperature at a typical outdoor ambient temperature. The unit is ℃. Indicates the outdoor ambient temperature High-temperature side return water temperature The unit is ℃. Indicating a pipeline topology reconfiguration scheme and average outdoor temperature The total volume of the high-temperature bypass heat medium below The unit is m 3 , Indicates the first day of the heating season Weighting coefficients for a typical outdoor ambient temperature. Dimensionless and the sum of all ownership coefficients equals 1. The heat source water supply temperature varies with the outdoor ambient temperature. Adjustments are made based on changes. When the temperature of the heat source water supply is regulated... Take the maximum water supply temperature of the water supply network , The unit is °C. Heat storage in the heating network mainly occurs in the return water heating network; when the heat source supply water temperature is not subject to regulation... Take the first The water supply temperature is based on a typical outdoor ambient temperature.

[0047] Total investment cost The package includes the cost of the bypass control valve and the associated control system. ; in, Indicates the corresponding pipeline topology reconfiguration scheme Project investment costs, The unit is yuan. This indicates the proportion of the bypass control valve cost in the total cost of the bypass branch. Dimensionless Indicates based on the nominal diameter of the bypass control valve An abstract function for calculating its investment cost. The unit is yuan. Indicates the primary bypass branch of the heating station The nominal diameter, The unit is mm. This indicates the unit price of the bypass branch control system. The unit is yuan / set. Indicates heating station Whether to configure 0-1 variables for bypass branches on the primary side. Dimensionless, 1 represents configured bypass branch, 0 represents no bypass branch.

[0048] The constraints of the outer-layer economic optimization model include: ; in, Indicates the standard nominal diameter. The unit is mm. This represents the set of feasible access locations for bypass branches, which consists of heat stations with bypass flow space. Indicates the first The access point of each bypass branch. This indicates the specific signage for a heating station.

[0049] The optimal bypass branch configuration, access location, and bypass pipe diameter scheme can be obtained through the above optimization model.

[0050] The host computer platform includes a monitoring module, an algorithm module, and a data storage module. The monitoring module communicates with the PLC controllers of each heating station and the heat meters at the heat source outlets, collecting operational data from each heating station and heating data from the heat source outlets. The algorithm module includes load forecasting modules for the heat source and each heating station, as well as a bypass target scheduling module. The load forecasting module predicts the instantaneous heat of the heat source and each heating station in hourly time periods, obtaining the predicted instantaneous heat of the heat source and each heating station. The unit of the predicted instantaneous heat is GJ / h.

[0051] Instantaneous heat output from heat source bear Instantaneous heat from a heating station Instantaneous heat from heating network Instantaneous heat of the heating network Including heating network losses Heating network heat storage The specific formula is expressed as follows: ; in, This represents the actual instantaneous heat of the heat source. The unit is GJ / h. Indicates the first The actual instantaneous heat of each heating station The unit is GJ / h. This indicates the instantaneous heat loss of the heating network. The unit is GJ / h. This indicates the amount of heat stored in the heating network. The unit is GJ / h. To ensure heating comfort, heating stations provide heating on demand, meaning the sum of the actual instantaneous heat generated by each heating station is equal to the sum of the predicted instantaneous heat generated by each heating station. ; in, Indicates the first Each heating station predicts instantaneous heat. The unit is GJ / h. The instantaneous heat loss of the heating network mainly consists of heat transfer loss through the heating network pipes and leakage loss, which remains approximately constant during steady-state operation.

[0052] The bypass target scheduling module generates bypass scheduling instructions for each heating station equipped with a topology reconfiguration device based on the comparison between the predicted instantaneous heat source and the actual instantaneous heat source. When the actual instantaneous heat source... Greater than the predicted instantaneous heat from the heat source When the heat source is oversupplied, the heating network stores heat, and the stored heat... ,in This indicates the predicted instantaneous heat output from the heat source, expressed in GJ / h. The unit is GJ / h. The host computer algorithm module outputs excess supply to the bypass target scheduling module. The bypass target scheduling module generates thermal storage scheduling instructions. The PLC controller adjusts the opening of the bypass electric regulating valve and the electric regulating valve according to the thermal storage scheduling instructions, so that the high-temperature side heat medium is bypassed to the high-temperature side return water network through the bypass pipe, realizing thermal network thermal storage. When the actual instantaneous heat of the heat source... Less than the predicted instantaneous heat from the heat source At times, when the heat source is insufficient, the heating network releases heat. The host computer algorithm module outputs a heat source undersupply signal, the bypass target scheduling module generates a heat release scheduling command, and the PLC controller adjusts the opening of the bypass electric regulating valve and the electric regulating valve according to the heat release scheduling command, reducing or stopping the flow of high-temperature side heat medium through the bypass pipe to the high-temperature side return water network, thereby realizing heat release from the heating network. When the actual instantaneous heat of the heat source equals the predicted instantaneous heat of the heat source, heat storage in the heating network is not required. The bypass target scheduling module issues a bypass valve closing command to the PLC controller.

[0053] The difference lies in the fact that when the heat source adopts a constant water supply temperature method, the heat storage is mainly carried out using the return water network, and the return water temperature limit of the return water network is a constraint condition. When the heat source adopts a constant heat supply regulation method, both the supply and return water networks can be used for heat storage, and the temperature limits of the supply and return water networks are constraints on the heat storage capacity of the supply and return water networks.

[0054] This embodiment constructs an active short-term heat storage system based on heating network topology reconstruction. A load prediction and bypass target scheduling algorithm module is deployed on the host computer platform, and a topology reconstruction device, including a bypass pipe, bypass electric regulating valve, and electric regulating valve, is configured on the primary side of each heating station. Based on the deviation between the predicted instantaneous heat from the heat source and the actual instantaneous heat, bypass scheduling commands are generated to control the flow of the high-temperature heat medium bypassing the return water network through the bypass pipe. This solves the problems of existing technologies lacking an active short-term heat storage system based on heating network topology reconstruction and being unable to fully utilize the heat storage potential of the network to cope with heat source fluctuations and spatiotemporal mismatches in supply and demand. This improves the overall operating efficiency of the heating system and the capacity for renewable energy absorption.

[0055] Figure 3 This diagram illustrates a flow chart of an embodiment of an active short-term thermal storage method based on heating network topology reconfiguration provided by the present invention. The method employs an active short-term thermal storage system based on heating network topology reconfiguration as provided by the present invention. Figure 3 As shown, the method includes the following steps: S1. Collect the operation data of each of the heating stations and the heating data of the heat source outlet through the monitoring module of the host computer platform; S2. The instantaneous heat of the heat source and each of the heating stations is predicted by the load prediction module in the algorithm module of the host computer platform to obtain the predicted instantaneous heat of the heat source and the predicted instantaneous heat of each of the heating stations. S3. Based on the comparison between the predicted instantaneous heat of the heat source and the actual instantaneous heat of the heat source, the bypass target scheduling module in the algorithm module generates a bypass scheduling instruction for each of the heat stations equipped with the topology reconstruction device. S4. The PLC controller adjusts the opening of the bypass electric regulating valve and the electric regulating valve according to the received bypass scheduling command, thereby controlling the flow rate of the high-temperature side heat medium bypassing to the high-temperature side return water network through the bypass pipe.

[0056] The technical solution of this embodiment constructs an active short-term heat storage system based on heating network topology reconstruction. A load prediction and bypass target scheduling algorithm module is deployed on the host computer platform, and a topology reconstruction device, including a bypass pipe, a bypass electric regulating valve, and an electric regulating valve, is configured on the primary side of each heating station. Based on the deviation between the predicted instantaneous heat from the heat source and the actual instantaneous heat, bypass scheduling commands are generated to control the flow of the high-temperature side heat medium bypassing the return water network through the bypass pipe. This solves the problems of existing technologies lacking an active short-term heat storage system based on heating network topology reconstruction and being unable to fully utilize the heat storage potential of the network to cope with heat source fluctuations and spatiotemporal mismatches in supply and demand. This improves the overall operating efficiency of the heating system and the capacity for renewable energy absorption.

[0057] Furthermore, the system provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to the actual situation to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiments belong to the same concept, and their specific implementation process can be found in the method embodiments, which will not be repeated here.

[0058] The above description is merely a preferred embodiment of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this invention is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-disclosed concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this invention.

[0059] It should be noted that the terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and do not imply a specific order or sequence. Where appropriate, the order of use for similar objects can be interchanged so that the embodiments of this application described herein can be implemented in an order other than that shown or described.

[0060] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. An active short-term thermal storage system based on heating network topology reconfiguration, characterized in that, The system includes: The host computer platform includes a monitoring module, an algorithm module, and a data storage module. Multiple heating stations, each of which has a topology reconfiguration device between its primary high-temperature side supply water header and return water header. The topology reconfiguration device includes a bypass pipe, a bypass electric regulating valve installed on the bypass pipe, an electric regulating valve installed on the high-temperature side return water pipe, and a PLC controller. The monitoring module is used to communicate with the PLC controller of each of the heating stations and the heat meter at the heat source outlet to collect the operating data of each of the heating stations and the heating data at the heat source outlet. The algorithm module includes a load prediction module and a bypass target scheduling module. The load prediction module is used to predict the instantaneous heat of the heat source and each of the heating stations to obtain the predicted instantaneous heat of the heat source and the predicted instantaneous heat of each of the heating stations. The bypass target scheduling module is used to generate bypass scheduling instructions for each of the heat stations equipped with the topology reconfiguration device based on the comparison results between the predicted instantaneous heat of the heat source and the actual instantaneous heat of the heat source. The PLC controller is used to adjust the opening degree of the bypass electric regulating valve and the electric regulating valve according to the received bypass scheduling command, so as to control the flow rate of the high-temperature side heat medium bypassing to the high-temperature side return water network through the bypass pipe.

2. The active short-term thermal storage system based on heating network topology reconfiguration according to claim 1, characterized in that, The PLC controller collects the following data from the heating station: high-temperature side supply water pressure, high-temperature side return water pressure, high-temperature side supply water temperature, high-temperature side return water temperature, high-temperature side mixed water temperature, low-temperature side supply water pressure, low-temperature side return water pressure, low-temperature side supply water temperature, low-temperature side return water temperature, and heat meter data. The heat meter data includes supply water temperature, return water temperature, instantaneous heat, instantaneous flow rate, cumulative heat, and cumulative flow rate.

3. The active short-term thermal storage system based on heating network topology reconfiguration according to claim 1, characterized in that, The algorithm module also includes an outer economic optimization model, which is used to determine the optimal bypass branch configuration scheme based on the project's net income and investment cost. The optimal bypass branch configuration scheme includes the number of bypass branches, the access location, the bypass pipe diameter, and the nominal diameter of the bypass valve's electric regulating valve.

4. The active short-term thermal storage system based on heating network topology reconfiguration according to claim 3, characterized in that, The net income of the project is calculated using the following formula: ； in, Indicates the corresponding pipeline topology reconfiguration scheme Net income of the project This represents the equivalent economic benefit of the unit heat storage increment in the primary return water network. Indicates the density of the heat transfer medium. This represents the specific heat capacity of water at constant pressure. Indicates the first day of the heating season Water supply temperature at a typical outdoor ambient temperature. Indicates the outdoor ambient temperature High-temperature side return water temperature Indicating a pipeline topology reconfiguration scheme and average outdoor temperature The total volume of the high-temperature bypass heat medium below Indicates the first day of the heating season Weighting coefficients for a typical outdoor ambient temperature.

5. The active short-term thermal storage system based on heating network topology reconfiguration according to claim 4, characterized in that, The total volume of the high-temperature bypass heat medium is calculated using a heat storage quantification model based on a specific topology reconfiguration scheme. The expression for this heat storage quantification model is as follows: ； ； in, Indicating a pipeline topology reconfiguration scheme and average outdoor temperature The total volume of the high-temperature bypass heat medium below Indicates the return water pipe section The relative flow rate of the internal high-temperature bypass heat medium. Indicates the return water pipe section Water capacity, Indicates the flow through the primary network return water pipe section High-temperature bypass heat medium flow rate, Indicates the primary network return water pipe section Total flow Indicates the primary network return water pipe section inner diameter, Indicates the primary network return water pipe section The length.

6. The active short-term thermal storage system based on heating network topology reconfiguration according to claim 5, characterized in that, The objective function of the outer-layer economic optimization model is: ； ； in, This indicates the comprehensive economic benefits of heat storage in the heating network. Indicates the corresponding pipeline topology reconfiguration scheme Net income of the project Indicates the corresponding pipeline topology reconfiguration scheme Project investment costs, This indicates the proportion of the bypass control valve cost in the total cost of the bypass branch. Indicates based on the nominal diameter of the bypass control valve An abstract function for calculating its investment cost. This indicates the unit price of the bypass branch control system. Indicates heating station Whether to configure 0-1 variables for bypass branches on the primary side.

7. The active short-term thermal storage system based on heating network topology reconfiguration according to claim 6, characterized in that, The constraints of the outer-layer economic optimization model include: ； in, Indicates the standard nominal diameter. This represents the set of feasible access locations for bypass branches, which consists of thermal stations with bypass flow space. Indicates the first The access point for each bypass branch.

8. The active short-term thermal storage system based on heating network topology reconfiguration according to claim 1, characterized in that, The bypass target scheduling module is used to generate a thermal storage scheduling command when the actual instantaneous heat of the heat source is greater than the predicted instantaneous heat of the heat source. The PLC controller adjusts the bypass electric regulating valve and the opening degree of the electric regulating valve according to the thermal storage scheduling command, so that the high-temperature side heat medium is bypassed to the high-temperature side return water network through the bypass pipe.

9. The active short-term thermal storage system based on heating network topology reconfiguration according to claim 1, characterized in that, The bypass target scheduling module is used to generate a heat release scheduling command when the actual instantaneous heat of the heat source is less than the predicted instantaneous heat of the heat source. The PLC controller adjusts the bypass electric regulating valve and the opening degree of the electric regulating valve according to the heat release scheduling command to reduce or stop the high-temperature side heat medium from bypassing to the high-temperature side return water network through the bypass pipe.

10. An active short-term thermal storage method based on heating network topology reconfiguration, employing the active short-term thermal storage system based on heating network topology reconfiguration as described in any one of claims 1 to 9, characterized in that, The method includes: The monitoring module of the host computer platform collects the operating data of each of the heating stations and the heating data of the heat source outlet. The load prediction module in the algorithm module of the host computer platform is used to predict the instantaneous heat of the heat source and each of the heating stations, so as to obtain the predicted instantaneous heat of the heat source and the predicted instantaneous heat of each of the heating stations. The bypass target scheduling module in the algorithm module generates bypass scheduling instructions for each of the heat stations equipped with the topology reconfiguration device based on the comparison results between the predicted instantaneous heat of the heat source and the actual instantaneous heat of the heat source. The PLC controller adjusts the opening of the bypass electric regulating valve and the electric regulating valve according to the received bypass scheduling command, thereby controlling the flow rate of the high-temperature side heat medium bypassing to the high-temperature side return water network through the bypass pipe.

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