Heat storage tank-containing heat supply system scheduling method considering heat storage and release role change

Abstract

The invention discloses a heat storage tank-containing heat supply system scheduling method considering heat storage and release role changes, which comprises the following steps of: additionally arranging a heat storage tank in a primary network urban area between an original urban heat supply system pressure separation station and each heating station, and adjusting a supply-demand imbalance operation condition into a supply-demand balance operation condition through the heat storage tank, the urban heat supply system containing the heat storage tank is formed; setting a heat storage tank role change mechanism; based on the corrected heat supply network hydraulic working condition calculation model and a heat storage tank role change mechanism, combining heat load demand change of each heating station and supply and demand imbalance operation working condition identification information, and analyzing the influence on the heat supply network hydraulic working condition during heat supply network flow distribution and heat storage and release of a heat storage tank; the flow of the heat supply network pressure separation station side, the heat storage tank and each heating station in each time period is distributed; correspondingly communicated water pumps and valves are regulated and controlled; and flow distribution and evaluation of regulation and control effects of the water pump and the valve are performed.

Description

Technical Field

[0001] The present invention belongs to the technical field of heating system scheduling, and in particular relates to a heating system scheduling method including a heat storage tank taking into account changes in heat storage and release roles. Background Art

[0002] The main purpose of heating is to obtain a comfortable indoor temperature while meeting the requirements of energy saving, consumption reduction and emission reduction. Heat network balance is the most basic work to achieve the purpose of heating. However, multiple energy crises have clearly shown that no matter what the current energy price is, we must reduce energy consumption and dependence. Therefore, we are now more and more aware of the importance of heat network balance.

[0003] The main task of heat network balance is to allocate flow on demand. Heat network balance includes: heat source, transmission pipeline, heating station and users must obtain and maintain the required flow at the same time, and control the hydraulic balance of the heating system to ensure that each user can obtain the required flow and temperature, so as to achieve rational use and conservation of energy. Heat network balance includes monitoring, control and optimization of heating equipment, as well as prediction, adjustment and optimization of heating system through data analysis and artificial intelligence technology.

[0004] However, at present, when urban heating systems are in operation, there is usually an imbalance between supply and demand, including oversupply where supply exceeds demand and undersupply where supply is less than demand. Currently, there are technologies that use heat storage tanks to alleviate load fluctuations and improve the balance between supply and demand, but there are few studies on the flow distribution of heat storage tanks, thermal power stations and other equipment in the heating system. How to use heat storage tanks to participate in the optimization of heating system operation and scheduling, to distribute flow and maintain supply and demand balance is an urgent problem to be solved.

[0005] Based on the above technical problems, it is necessary to design a new scheduling method for a heating system containing a heat storage tank that takes into account the changes in the heat storage and release roles. Summary of the invention

[0006] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a method for scheduling a heating system containing a heat storage tank that takes into account the role changes of heat storage and release. The method can set the corresponding flow distribution principle during heat storage and release through the role change mechanism of the heat storage tank, establish a basis for the flow distribution of subsequent pressure isolation stations, heat storage tanks and various thermal power stations, ensure that the supply and demand balance operating conditions are met, effectively play the role of the heat storage tank, and utilize the role change mechanism of the heat storage tank to enable the system to flexibly respond to changes in heat loads in different time periods; and effectively utilize the hydraulic condition calculation model to simulate the flow distribution and the impact of heat storage and release on the hydraulic condition of the heating network, so as to achieve more accurate flow distribution and efficient supply and demand balance regulation, and ensure that each node device can obtain the required flow and heat.

[0007] In order to solve the above technical problems, the technical solution of the present invention is:

[0008] The present invention provides a method for scheduling a heating system including a heat storage tank taking into account the change of heat storage and release roles, which comprises:

[0009] S1. Obtain the original urban heating system operation data, and establish a supply-demand imbalance operation condition identification model between the pressure isolation station and each thermal power station to identify the system supply-demand imbalance operation condition;

[0010] S2. Add a heat storage tank in the primary network urban area between the pressure isolation station and each heating station of the original urban heating system. After the heat storage tank is connected with the pressure isolation station and each heating station, the supply and demand imbalance operation condition can be adjusted to the supply and demand balance operation condition through the heat storage tank, forming an urban heating system with a heat storage tank;

[0011] S3. Setting a mechanism for changing the role of a heat storage tank, including: when the heat storage tank is storing heat, the heat storage tank is used as a heat user. To meet the supply and demand balance operating condition, the flow rate on the pressure isolation station side is equal to the sum of the flow rate when the heat storage tank is storing heat and the total flow rate of each thermal power station; when the heat storage tank is releasing heat, the heat storage tank is used as an energy station. To meet the supply and demand balance operating condition, the total flow rate of each thermal power station is equal to the sum of the flow rate when the heat storage tank is releasing heat and the flow rate on the pressure isolation station side; and when the heat storage tank is not in operation, the heat storage tank is neither used as a heat user nor as an energy station, and the flow rate on the pressure isolation station side is equal to the total flow rate of each thermal power station;

[0012] S4. Establish a calculation model for the hydraulic condition of the heating network of the heating system including the heat storage tank, and make corrections based on the real-time operation parameters of the heating network;

[0013] S5. Based on the revised calculation model of the hydraulic working condition of the heating network and the role change mechanism of the heat storage tank, combined with the changes in the heat load demand of each heating station, the identification information of the supply and demand imbalance operation condition, and the analysis of the heat network flow distribution and the impact of the heat storage tank on the hydraulic working condition of the heating network when storing and releasing heat, the flow of the heat network pressure isolation station side, the heat storage tank and each heating station in each period is distributed;

[0014] S6. Based on the flow distribution results of the heat network pressure isolation station, heat storage tank and each thermal power station in each period, the corresponding connected water pumps and valves are regulated;

[0015] S7. Set up multi-dimensional evaluation indicators, including hydraulic disorder of each thermal power station, hydraulic stability, supply-demand balance coefficient, and energy saving rate, to evaluate the flow distribution and the control effect of water pumps and valves.

[0016] Further, the S1 specifically includes:

[0017] Obtaining the operation data of the original urban heating system, including: the supply and return water temperature, heat, flow, pressure, outdoor temperature, humidity, wind speed of the primary network pressure isolation station and each heating station in the urban area, as well as factors of holidays and special events; the structure of the original urban heating system includes a heat source, a pressure isolation station, each heating station and each heating user, and the pipe network between the heat source and the pressure isolation station is regarded as the zero-order network, the pipe network between the pressure isolation station and each heating station is regarded as the primary network, and the pipe network between each heating station and each heating user is regarded as the secondary network;

[0018] The ratio between the heat supply on the side of the urban primary network pressure isolation station and the total heat demand of each thermal power station is taken as the supply-demand imbalance parameter. When the supply-demand imbalance parameter is equal to 1, it indicates that the supply and demand between the pressure isolation station and each thermal power station are balanced; when the supply-demand imbalance parameter is greater than 1, it indicates that the supply between the pressure isolation station and each thermal power station is greater than the demand, and if the supply-demand imbalance parameter is in the first preset interval, the system is in the first type of supply-demand imbalance operating condition; when the supply-demand imbalance parameter is less than 1, it indicates that the supply between the pressure isolation station and each thermal power station is less than the demand, and if the supply-demand imbalance parameter is in the second preset interval, the system is in the second type of supply-demand imbalance operating condition;

[0019] After data preprocessing and data feature extraction of the original urban heating system operation data, the extracted data features are used as input and the supply and demand imbalance operation conditions are used as output. After training and learning with the machine learning algorithm, a supply and demand imbalance operation condition identification model between the pressure isolation station and each thermal power station is established to identify the system supply and demand imbalance operation conditions, and at the same time obtain the supply and demand imbalance time period, supply and demand imbalance operation condition category and supply and demand imbalance heat value.

[0020] Further, the S2 specifically includes:

[0021] According to the supply and demand imbalance operation condition identification model between the pressure isolation station and each thermal power station, the historical supply and demand imbalance operation condition information of the original urban heating system and the supply and demand imbalance operation condition information at future moments are obtained, and the demand fluctuation is evaluated to determine the capacity demand of the heat storage tank;

[0022] Install a heat storage tank in the primary network area between the pressure isolation station and each heating station of the original urban heating system, and arrange water pumps, valves and instruments connected to the heat storage tank. At the same time, connect the heat storage tank with the primary network, pressure isolation station and each heating station in the primary network area through additional pipelines;

[0023] The heat storage tank is used as a peak-shaving heat source. The heat storage and release characteristics of the heat storage tank are utilized to store excess heat and make up for missing heat, and the supply and demand imbalance operating condition is adjusted to the supply and demand balanced operating condition, forming an urban heating system with heat storage tanks.

[0024] Furthermore, the heat storage and release characteristic model of the heat storage tank is expressed as:

[0025] E t+1=(1-η l )E t +(H s,t -H r,t )Δt;

[0026] η l is the heat loss coefficient of the heat storage tank; E t H is the heat storage capacity of the heat storage tank in period t; s,t , H r,t are the heat storage power and heat release power of the heat storage tank in period t respectively; Δt is the time interval of the calculation period;

[0027] 0≤E t ≤E max ;

[0028] 0≤H s,t ≤H s,max ;

[0029] 0≤H r,t ≤H r,max ;

[0030] E0=E T ;

[0031] E max is the maximum heat storage capacity of the heat storage tank; H s,max is the maximum heat storage power of the heat storage tank; H r,max is the maximum heat release power of the heat storage tank; E0 is the initial heat storage capacity of the heat storage tank; E T It is the heat storage amount of the heat storage tank after one scheduling cycle.

[0032] Further, the S3 specifically includes:

[0033] When the heat storage tank is storing heat, the heat storage tank is used as a heat user. Under the first type of supply-demand imbalance operating condition where supply exceeds demand, the heat storage mode is started. By adjusting the pump group and valve of the pressure isolation station, the heat storage tank absorbs excess heat from the primary network pressure isolation station side and stores it. To meet the supply-demand balance operating condition, the flow rate Q on the pressure isolation station side is 隔压站 Equal to the flow rate Q when the heat storage tank is storing heat 储热 And the total flow of each thermal power station ∑Q 热力站 The sum is expressed as: Q 隔压站 =Q 储热 +∑Q 热力站 ;

[0034] When the heat storage tank is releasing heat, the heat storage tank is used as an energy station. The heat release mode is started under the second type of supply and demand imbalance operation condition where supply is less than demand. By adjusting the heat release rate of the heat storage tank and the flow of the pressure isolation station, it is ensured that the total flow supply value meets the total flow demand of each thermal power station; in order to meet the supply and demand balance operation condition, the total flow of each thermal power station ∑Q热力站 Equal to the flow rate Q when the heat storage tank releases heat 放热 and the flow rate Q on the pressure isolation station side 隔压站 The sum is expressed as: ∑Q 热力站 =Q 隔压站 +Q 放热 ;

[0035] When the heat storage tank is not in operation, the heat storage tank is neither used as a heat user nor as an energy station. At this time, the system is in a supply-demand balance operation condition, keeping the existing flow unchanged, and only fine-tuning according to the actual needs of each thermal power station. The flow Q on the pressure isolation station side is 隔压站 Equal to the total flow of each thermal power station ∑Q 热力站 , expressed as: Q 隔压站 =∑Q 热力站 .

[0036] Further, the S4 specifically includes:

[0037] All nodes and pipe sections in the heat network of the heating system including the heat storage tank are numbered, and the pipe section number, pipe length, inner diameter of the pipe section, wall thickness of the pipe section, absolute roughness of the pipeline, initial node and terminal node are described. Combined with the fluid dynamic characteristic parameters including the heat network flow, pressure and temperature, a heat network model including the structure and operation parameters of the heat network of the heating system including the heat storage tank is established, and the heat network model is represented by graph theory to obtain a heat network topology model; the nodes include heat source, pressure isolation station, thermal power station and heat storage tank;

[0038] Based on the heat network topology model, the node flow balance equations and the circuit pressure balance equations are expressed in matrix form using the basic correlation matrix and the independent circuit matrix, which can be expressed as:

[0039]

[0040] A f is the basic correlation matrix; G is the column vector of the mass flow rate of the pipeline; G n is the mass flow column vector of the node; B f is the independent loop matrix; Δp is the pressure drop column vector at both ends of the pipeline; p is the piezometric head column vector of the node relative to the reference node; Δp w is the resistance loss column vector of the pipeline; Δp p is the pump head column vector; S d is the impedance diagonal matrix of the pipeline; G d * is the diagonal matrix of the mass flow rate of the pipeline; C0 is the column vector of the characteristic coefficient of the water pump; C1 and C2 are the diagonal matrices of the characteristic coefficients of the water pump;

[0041] The calculation model of steady-state hydraulic conditions is established and expressed as:

[0042]

[0043] The heating network operation data is collected in real time and compared with the results of model calculation, the error source parameters are analyzed, and the error source parameters are fitted using an intelligent optimization algorithm with the goal of minimizing the sum of squared errors to correct the hydraulic working condition calculation model.

[0044] Further, the S5 specifically includes:

[0045] After predicting the change trend of heat load demand of each heat station, a model ∑Q is established between the total flow demand value initially allocated to each heat station and the heat load demand of each heat station and other factors affecting the flow of the heat station 热力站 =f(H rlz ,t rlz,供 ,t rlz,回 ,p rlz,管网 ,E,R), used to describe the heat load demand H at each thermal power station rlz , water supply temperature of heating station pipe network t rlz,供 , Heat station pipe network return water temperature t rlz,回 , Heat station pipe network pressure p rlz,管网 and environmental parameters E, user behavior R, make a preliminary allocation of the total flow demand value of each thermal power station;

[0046] Obtain the output plan of the system heat source, establish a model Q between the initial allocated flow rate on the pressure isolation station side and the output plan of the heat source and other factors affecting the flow rate of the pressure isolation station 隔压站 =f(P ry ,t ry,供 ,t ry,回 ,p ry,管网 ,E), used to describe the output plan P of the heat source ry , water supply temperature from heat source to pressure isolation station pipe network t ry,供 , return water temperature from heat source to pressure isolation station pipe network t ry,回 , Pipeline network pressure from heat source to pressure isolation station p ry,管网 , and environmental parameter E, make preliminary distribution of flow on the pressure isolation station side;

[0047] According to the supply and demand imbalance operating condition identification model between the pressure isolation station and each thermal power station, the supply and demand imbalance operating conditions of the system in different time periods in the future are identified, the supply and demand imbalance time period, supply and demand imbalance operating condition category and supply and demand imbalance calorific value are obtained, and the role of the heat storage tank in different time periods and the heat storage and release flow distribution of the heat storage tank are preliminarily set;

[0048] After adjusting the preliminary flow distribution results of the heat storage tank on the pressure isolation station side, the flow distribution results of the heat network pressure isolation station side, the heat storage tank and each thermal power station in each time period are simulated based on the revised heat network hydraulic condition calculation model, and the impact of the heat storage tank on the hydraulic condition of the heat network when storing and releasing heat is analyzed. The pressure, flow and temperature distribution of each node are calculated, and an optimization algorithm is introduced to meet the supply and demand balance and minimize energy consumption as the goal. At the same time, it is ensured that the flow distribution meets the safe operation requirements of the pipeline network and the hydraulic condition balance conditions of the pipeline network, and the final flow distribution of the heat network pressure isolation station side, heat storage tank and each thermal power station in each time period is carried out.

[0049] Further, the S6 specifically includes:

[0050] Based on the flow distribution results of the heat network pressure isolation station, heat storage tank and each heat station in each period, the real-time operation data of each equipment in the whole network is monitored at the same time. qw 、Equipment health status jk 、The whole network hydraulic condition W hr , establish the pump valve control model (pump, valve) = f(Q 隔压站 ,Q 储热 ,Q 放热 ,∑Q 热力站 ,S qw ,E jk ,W hr ), set the control strategy for the connected pump groups and valves, including at least the operating power of the pump and the valve opening.

[0051] Furthermore, the heating system scheduling method including the heat storage tank also includes: regulating the output of the heat source unit according to the flow distribution result on the pressure isolation station side.

[0052] Furthermore, after S7, if the flow distribution and the water pump and valve control effect evaluation do not meet the standards, the flow distribution and the water pump and valve control effect need to be corrected.

[0053] The beneficial effects of the present invention are:

[0054] (1) The present invention obtains the operating data of the original urban heating system, and establishes a supply and demand imbalance operating condition identification model between the pressure isolation station and each thermal power station to identify the system supply and demand imbalance operating condition; a heat storage tank is added in the primary network city area between the pressure isolation station and each thermal power station of the original urban heating system, and after the heat storage tank is connected with the pressure isolation station and each thermal power station, the supply and demand imbalance operating condition can be adjusted to a supply and demand balanced operating condition through the heat storage tank, thereby forming an urban heating system containing a heat storage tank; by establishing a supply and demand imbalance operating condition identification model, the supply and demand imbalance operating condition of the system can be clearly known, and a heat storage tank can be effectively added in the primary network city area on the pressure isolation station side to adjust the system operating condition and maintain the system supply and demand balance;

[0055] (2) The present invention sets a role change mechanism for the heat storage tank, including: when the heat storage tank is storing heat, the heat storage tank is used as a heat user, and in order to meet the supply and demand balance operating condition, the flow rate on the pressure isolation station side is equal to the sum of the flow rate when the heat storage tank is storing heat and the total flow rate of each thermal power station; when the heat storage tank is releasing heat, the heat storage tank is used as an energy station, and in order to meet the supply and demand balance operating condition, the total flow rate of each thermal power station is equal to the sum of the flow rate when the heat storage tank is releasing heat and the flow rate on the pressure isolation station side; and when the heat storage tank is not in operation, the heat storage tank is neither used as a heat user nor as an energy station, and the pressure isolation station is used as a heat user. The flow rate on the pressure station side is equal to the total flow rate of each thermal power station; the corresponding flow distribution principle during heat storage and release can be set through the role change mechanism of the heat storage tank, which lays the foundation for the subsequent flow distribution of the pressure isolation station, heat storage tank and each thermal power station, ensuring that the supply and demand balance operating conditions are met, effectively playing the role of the heat storage tank, and using the role change mechanism of the heat storage tank to enable the system to flexibly respond to changes in heat load in different time periods, improve the adaptability and response speed of the system, smooth the load curve of the system, reduce pressure and temperature fluctuations caused by load fluctuations, and improve the stability and reliability of the system;

[0056] (3) The present invention establishes a heat network hydraulic condition calculation model for a heat supply system including a heat storage tank, and amends it in combination with the real-time operation parameters of the heat network; based on the amended heat network hydraulic condition calculation model and the role change mechanism of the heat storage tank, combined with the heat load demand change of each heat station, the supply and demand imbalance operation condition identification information, and the analysis of the heat network flow distribution and the influence of the heat storage tank on the heat network hydraulic condition during heat storage and release, the flow of each time period on the heat network pressure isolation station side, the heat storage tank and each heat station is allocated; the hydraulic condition calculation model can be effectively used to simulate the flow distribution and the influence of heat storage and release on the heat network hydraulic condition, so as to achieve more accurate flow distribution and efficient supply and demand balance adjustment, and ensure that each node device can obtain the required flow and heat;

[0057] (4) The present invention regulates the corresponding connected water pumps and valves based on the flow distribution results of the heat network pressure isolation station side, the heat storage tank and each thermal power station in each time period; sets multi-dimensional evaluation indicators, including hydraulic disorder of each thermal power station, hydraulic stability, supply and demand balance coefficient, and energy saving rate, to evaluate the flow distribution and the control effect of water pumps and valves; can automatically adjust water pumps and valves according to the flow distribution results, optimize the operating state of the system and realize automatic switching of the role of the heat storage tank, simplify operation management, reduce manual intervention, and improve the reliability of the system.

[0058] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0059] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0061] Figure 1 A flow chart of a method for scheduling a heating system including a heat storage tank taking into account changes in the roles of heat storage and release of the present invention;

[0062] Figure 2 It is a schematic diagram of the structure of a heating system including a heat storage tank according to the present invention. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] Example 1

[0065] like Figure 1 , Figure 2 As shown, this embodiment 1 provides a method for scheduling a heating system including a heat storage tank taking into account the change of heat storage and release roles, which includes:

[0066] S1. Obtain the original urban heating system operation data, and establish a supply-demand imbalance operation condition identification model between the pressure isolation station and each thermal power station to identify the system supply-demand imbalance operation condition;

[0067] S2. Add a heat storage tank in the primary network urban area between the pressure isolation station and each heating station of the original urban heating system. After the heat storage tank is connected with the pressure isolation station and each heating station, the supply and demand imbalance operation condition can be adjusted to the supply and demand balance operation condition through the heat storage tank, forming an urban heating system with a heat storage tank;

[0068] S3. Setting a mechanism for changing the role of a heat storage tank, including: when the heat storage tank is storing heat, the heat storage tank is used as a heat user. To meet the supply and demand balance operating condition, the flow rate on the pressure isolation station side is equal to the sum of the flow rate when the heat storage tank is storing heat and the total flow rate of each thermal power station; when the heat storage tank is releasing heat, the heat storage tank is used as an energy station. To meet the supply and demand balance operating condition, the total flow rate of each thermal power station is equal to the sum of the flow rate when the heat storage tank is releasing heat and the flow rate on the pressure isolation station side; and when the heat storage tank is not in operation, the heat storage tank is neither used as a heat user nor as an energy station, and the flow rate on the pressure isolation station side is equal to the total flow rate of each thermal power station;

[0069] S4. Establish a calculation model for the hydraulic condition of the heating network of the heating system including the heat storage tank, and make corrections based on the real-time operation parameters of the heating network;

[0070] S5. Based on the revised calculation model of the hydraulic working condition of the heating network and the role change mechanism of the heat storage tank, combined with the changes in the heat load demand of each heating station, the identification information of the supply and demand imbalance operation condition, and the analysis of the heat network flow distribution and the impact of the heat storage tank on the hydraulic working condition of the heating network when storing and releasing heat, the flow of the heat network pressure isolation station side, the heat storage tank and each heating station in each period is distributed;

[0071] S6. Based on the flow distribution results of the heat network pressure isolation station, heat storage tank and each thermal power station in each period, the corresponding connected water pumps and valves are regulated;

[0072] S7. Set up multi-dimensional evaluation indicators, including hydraulic disorder of each thermal power station, hydraulic stability, supply-demand balance coefficient, and energy saving rate, to evaluate the flow distribution and the control effect of water pumps and valves.

[0073] In this embodiment, S1 specifically includes:

[0074] Obtaining the operation data of the original urban heating system, including: the supply and return water temperature, heat, flow, pressure, outdoor temperature, humidity, wind speed of the primary network pressure isolation station and each heating station in the urban area, as well as factors of holidays and special events; the structure of the original urban heating system includes a heat source, a pressure isolation station, each heating station and each heating user, and the pipe network between the heat source and the pressure isolation station is regarded as the zero-order network, the pipe network between the pressure isolation station and each heating station is regarded as the primary network, and the pipe network between each heating station and each heating user is regarded as the secondary network;

[0075] The ratio between the heat supply on the side of the urban primary network pressure isolation station and the total heat demand of each thermal power station is taken as the supply-demand imbalance parameter. When the supply-demand imbalance parameter is equal to 1, it indicates that the supply and demand between the pressure isolation station and each thermal power station are balanced; when the supply-demand imbalance parameter is greater than 1, it indicates that the supply between the pressure isolation station and each thermal power station is greater than the demand, and if the supply-demand imbalance parameter is in the first preset interval, the system is in the first type of supply-demand imbalance operating condition; when the supply-demand imbalance parameter is less than 1, it indicates that the supply between the pressure isolation station and each thermal power station is less than the demand, and if the supply-demand imbalance parameter is in the second preset interval, the system is in the second type of supply-demand imbalance operating condition;

[0076] After data preprocessing and data feature extraction of the original urban heating system operation data, the extracted data features are used as input and the supply and demand imbalance operation conditions are used as output. After training and learning with the machine learning algorithm, a supply and demand imbalance operation condition identification model between the pressure isolation station and each thermal power station is established to identify the system supply and demand imbalance operation conditions, and at the same time obtain the supply and demand imbalance time period, supply and demand imbalance operation condition category and supply and demand imbalance heat value.

[0077] In actual applications, the operating condition categories of the heating system include supply and demand balance operating conditions, the first type of supply and demand imbalance operating conditions (oversupply), and the second type of supply and demand imbalance operating conditions (undersupply); when in the first type of supply and demand imbalance operating conditions, it indicates that the supply and demand imbalance parameter is significantly greater than 1, and the scheduling plan needs to be adjusted in time. The first preset interval is set to distinguish the range interval of the oversupply imbalance parameter. Only when it is within this interval is it defined as the first type of supply and demand imbalance operating condition. If the supply and demand imbalance parameter is greater than 1, but not in the first preset interval, it indicates that the operating condition of supply exceeding demand is not very significant, and the scheduling plan does not need to be adjusted; when in the second type of supply and demand imbalance operating condition, it indicates that the supply and demand imbalance parameter is significantly less than 1, and the scheduling plan needs to be adjusted in time. The second preset interval is set to distinguish the range interval of the undersupply imbalance parameter. Only when it is within this interval is it defined as the second type of supply and demand imbalance operating condition. If the supply and demand imbalance parameter is less than 1, but not in the second preset interval, it indicates that the operating condition of supply less than demand is not very significant, and the scheduling plan does not need to be adjusted.

[0078] It should be noted that the pressure isolation station is usually set up in the urban heating system to deal with the connection problem between the heat networks with different pressure levels and to achieve more efficient energy transmission and distribution. The pipeline network from the heat source to the pressure isolation station usually operates at a higher pressure to ensure that the heat can be efficiently transmitted. The main function of the pressure isolation station is to provide a transition zone between the high-pressure zero-time network and the primary network. It can protect the downstream equipment from the high pressure by reducing the pressure. At the same time, it can also adjust the temperature so that the temperature of the hot water delivered to the user is suitable for use. The pressure isolation station usually includes a pressure reducing valve, a heat exchanger, a circulating pump and a control system. The pressure reducing valve is used to control the output pressure, the heat exchanger is used to adjust the water supply temperature, the circulating pump keeps the water flow in the pipe network, and the control system monitors the working status of the entire pressure isolation station and adjusts the parameters as needed. The hot water treated by the pressure isolation station is transported to each thermal power station through the primary network, and then each thermal power station distributes the hot water to each heat user through the secondary network. The pressure of the secondary network is lower and is more suitable for direct connection with the user's heating equipment.

[0079] In this embodiment, S2 specifically includes:

[0080] According to the supply and demand imbalance operation condition identification model between the pressure isolation station and each thermal power station, the historical supply and demand imbalance operation condition information of the original urban heating system and the supply and demand imbalance operation condition information at future moments are obtained, and the demand fluctuation is evaluated to determine the capacity demand of the heat storage tank;

[0081] Install a heat storage tank in the primary network area between the pressure isolation station and each heating station of the original urban heating system, and arrange water pumps, valves and instruments connected to the heat storage tank. At the same time, connect the heat storage tank with the primary network, pressure isolation station and each heating station in the primary network area through additional pipelines;

[0082] The heat storage tank is used as a peak-shaving heat source. The heat storage and release characteristics of the heat storage tank are utilized to store excess heat and make up for missing heat, and the supply and demand imbalance operating condition is adjusted to the supply and demand balanced operating condition, forming an urban heating system with heat storage tanks.

[0083] In this embodiment, the heat storage and release characteristic model of the heat storage tank is expressed as:

[0084] E t+1 =(1-η l )E t +(H s,t -H r,t )Δt;

[0085] η l is the heat loss coefficient of the heat storage tank; E t H is the heat storage capacity of the heat storage tank in period t; s,t , H r,tare the heat storage power and heat release power of the heat storage tank in period t respectively; Δt is the time interval of the calculation period;

[0086] 0≤E t ≤E max ;

[0087] 0≤H s,t ≤H s,max ;

[0088] 0≤H r,t ≤H r,max ;

[0089] E0=E T ;

[0090] E max is the maximum heat storage capacity of the heat storage tank; H s,max is the maximum heat storage power of the heat storage tank; H r,max is the maximum heat release power of the heat storage tank; E0 is the initial heat storage capacity of the heat storage tank; E T It is the heat storage amount of the heat storage tank after one scheduling cycle.

[0091] It should be noted that the heat storage tank can act as a peak-shaving heat source in the heating system, which has the effect of buffering heat load fluctuations. The source of heat stored in the heat storage tank can be excess heat supplied by the heat source, or it can be heat supplied by external equipment such as electric heat pumps, electric boilers, and solar collectors. Usually, the heat storage and release time of the heat storage tank is 10 hours, and a heat storage and release cycle is 24 hours. During the heat storage and release cycle, the heat dissipation loss is usually small and can be ignored.

[0092] In this embodiment, S3 specifically includes:

[0093] When the heat storage tank is storing heat, the heat storage tank is used as a heat user. Under the first type of supply-demand imbalance operating condition where supply exceeds demand, the heat storage mode is started. By adjusting the pump group and valve of the pressure isolation station, the heat storage tank absorbs excess heat from the primary network pressure isolation station side and stores it. To meet the supply-demand balance operating condition, the flow rate Q on the pressure isolation station side is 隔压站 Equal to the flow rate Q when the heat storage tank is storing heat 储热 And the total flow of each thermal power station ∑Q 热力站 The sum is expressed as: Q 隔压站 =Q 储热 +∑Q 热力站 ;

[0094] When the heat storage tank is releasing heat, the heat storage tank is used as an energy station. The heat release mode is started under the second type of supply and demand imbalance operation condition where supply is less than demand. By adjusting the heat release rate of the heat storage tank and the flow of the pressure isolation station, it is ensured that the total flow supply value meets the total flow demand of each thermal power station; in order to meet the supply and demand balance operation condition, the total flow of each thermal power station ∑Q热力站 Equal to the flow rate Q when the heat storage tank releases heat 放热 and the flow rate Q on the pressure isolation station side 隔压站 The sum is expressed as: ∑Q 热力站 =Q 隔压站 +Q 放热 ;

[0095] When the heat storage tank is not in operation, the heat storage tank is neither used as a heat user nor as an energy station. At this time, the system is in a supply-demand balance operation condition, keeping the existing flow unchanged, and only fine-tuning according to the actual needs of each thermal power station. The flow Q on the pressure isolation station side is 隔压站 Equal to the total flow of each thermal power station ∑Q 热力站 , expressed as: Q 隔压站 =∑Q 热力站 .

[0096] In this embodiment, S4 specifically includes:

[0097] All nodes and pipe sections in the heat network of the heating system including the heat storage tank are numbered, and the pipe section number, pipe length, inner diameter of the pipe section, wall thickness of the pipe section, absolute roughness of the pipeline, initial node and terminal node are described. Combined with the fluid dynamic characteristic parameters including the heat network flow, pressure and temperature, a heat network model including the structure and operation parameters of the heat network of the heating system including the heat storage tank is established, and the heat network model is represented by graph theory to obtain a heat network topology model; the nodes include heat source, pressure isolation station, thermal power station and heat storage tank;

[0098] Based on the heat network topology model, the node flow balance equations and the circuit pressure balance equations are expressed in matrix form using the basic correlation matrix and the independent circuit matrix, which can be expressed as:

[0099]

[0100] A f is the basic correlation matrix; G is the column vector of the mass flow rate of the pipeline; G n is the mass flow column vector of the node; B f is the independent loop matrix; ×p is the pressure drop column vector at both ends of the pipeline; p is the pressure gauge head column vector of the node relative to the reference node; ×p w is the resistance loss column vector of the pipeline; Δp p is the pump head column vector; S d is the impedance diagonal matrix of the pipeline; is the diagonal matrix of the mass flow rate of the pipeline; C0 is the column vector of the characteristic coefficient of the water pump; C1 and C2 are the diagonal matrices of the characteristic coefficients of the water pump;

[0101] The calculation model of steady-state hydraulic conditions is established and expressed as:

[0102]

[0103] The heating network operation data is collected in real time and compared with the results of model calculation, the error source parameters are analyzed, and the error source parameters are fitted using an intelligent optimization algorithm with the goal of minimizing the sum of squared errors to correct the hydraulic working condition calculation model.

[0104] In this embodiment, S5 specifically includes:

[0105] After predicting the change trend of heat load demand of each heat station, a model ∑Q is established between the total flow demand value initially allocated to each heat station and the heat load demand of each heat station and other factors affecting the flow of the heat station 热力站 =f9H rlz ,t rlz,供 ,t rlz,回 ,p rlz,管网 ,E,R), used to describe the heat load demand H at each thermal power station rlz , water supply temperature of heating station network t rlz,供 , Heat station pipe network return water temperature t rlz,回 , Heat station pipe network pressure p rlz,管网 and environmental parameters E, user behavior R, make a preliminary allocation of the total flow demand value of each thermal power station;

[0106] Obtain the output plan of the system heat source, establish a model Q between the initial allocated flow rate on the pressure isolation station side and the output plan of the heat source and other factors affecting the flow rate of the pressure isolation station 隔压站 =f(P ry ,t ry,供 ,t ry,回 ,p ry,管网 ,E), used to describe the output plan P of the heat source ry , water supply temperature from heat source to pressure isolation station pipe network t ry,供 , return water temperature from heat source to pressure isolation station pipe network t ry,回 , Pipeline network pressure from heat source to pressure isolation station p ry,管网 , and environmental parameter E, make preliminary distribution of flow on the pressure isolation station side;

[0107] According to the supply and demand imbalance operating condition identification model between the pressure isolation station and each thermal power station, the supply and demand imbalance operating conditions of the system in different time periods in the future are identified, the supply and demand imbalance time period, supply and demand imbalance operating condition category and supply and demand imbalance calorific value are obtained, and the role of the heat storage tank in different time periods and the heat storage and release flow distribution of the heat storage tank are preliminarily set;

[0108] After adjusting the preliminary flow distribution results of the heat storage tank on the pressure isolation station side, the flow distribution results of the heat network pressure isolation station side, the heat storage tank and each thermal power station in each time period are simulated based on the revised heat network hydraulic condition calculation model, and the impact of the heat storage tank on the hydraulic condition of the heat network when storing and releasing heat is analyzed. The pressure, flow and temperature distribution of each node are calculated, and an optimization algorithm is introduced to meet the supply and demand balance and minimize energy consumption as the goal. At the same time, it is ensured that the flow distribution meets the safe operation requirements of the pipeline network and the hydraulic condition balance conditions of the pipeline network, and the final flow distribution of the heat network pressure isolation station side, heat storage tank and each thermal power station in each time period is carried out.

[0109] In actual applications, since the heat storage tank is deployed in the primary network urban area on the side of the pressure isolation station, the heat storage tank and the pressure isolation station jointly provide heat to each thermal power station, so the heat storage and release process of the heat storage tank will affect the hydraulic conditions of the pipeline network. Based on the hydraulic condition calculation model, the specific friction resistance is proportional to the square of the flow rate of the pipe section. When the flow rate increases or decreases, the specific friction resistance of the pipe section will change, thereby causing the flow rate and head of the circulating water pump to change. The flow rate fluctuates when the heat storage tank stores and releases heat. The heat provided to each thermal power station in the primary network can be supplied according to the actual load demand. It can be regulated by the variable frequency pump configured by the heat storage tank, so that the flow rate also changes with the load fluctuations of each thermal power station. In this way, the hydraulic conditions of the pipeline network are also better, avoiding hydraulic imbalance.

[0110] In this embodiment, S6 specifically includes:

[0111] Based on the flow distribution results of the heat network pressure isolation station, heat storage tank and each heat station in each period, the real-time operation data of each equipment in the whole network is monitored at the same time. qw 、Equipment health status jk 、The whole network hydraulic condition W hr , establish the pump valve control model (pump, valve) = f(Q 隔压站 ,Q 储热 ,Q 放热 ,∑Q 热力站 ,S qw ,E jk ,W hr ), set the control strategy for the connected pump groups and valves, including at least the operating power of the pump and the valve opening.

[0112] In this embodiment, the method for scheduling a heating system including a heat storage tank further includes: regulating the output of the heat source unit according to the flow distribution result on the pressure isolation station side.

[0113] In this embodiment, after S7, if the flow distribution and the water pump and valve control effect evaluation do not meet the standards, the flow distribution and the water pump and valve control effect need to be corrected.

[0114] In practical applications, hydraulic misregulation refers to the degree of deviation between the actual flow and the allocated flow, reflecting the accuracy of flow distribution, which is expressed as:

[0115]

[0116] a is hydraulic disorder; Q 实际,i , Q 分配,i are the actual flow and allocated flow of the i-th node respectively; n is the total number of pressure stations, heat storage tanks and thermal power stations in the node;

[0117] Hydraulic stability refers to the degree of flow and pressure fluctuation during system operation, expressed as:

[0118]

[0119] α is hydraulic stability; P t , are pressure value and average pressure value respectively; T is the total number of time periods;

[0120] The supply-demand balance coefficient refers to the matching degree between the system heat supply and demand, reflecting the supply-demand balance state of the system, expressed as:

[0121]

[0122] γ is the supply-demand balance coefficient; Q 供给,i , Q 需求,i are the actual heat supply and required heat of the i-th node respectively;

[0123] Energy saving rate refers to the degree of reduction in system energy consumption after optimizing flow distribution and control measures, reflecting the improvement of system energy efficiency, expressed as:

[0124]

[0125] is the energy saving rate; E 优化后 、E 优化前 are the system energy consumption before and after optimization respectively;

[0126] Comprehensively evaluate each evaluation indicator. You can use weighted scoring method or other comprehensive evaluation methods to analyze the results of each evaluation indicator, identify the weak links in the system, adjust the traffic allocation strategy and control parameters according to the analysis results, and further optimize the system performance.

[0127] In several embodiments provided in the present application, it should be understood that the disclosed system and method can also be implemented in other ways. The system embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and a part of the module, program segment or code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0128] In addition, the functional modules in each embodiment of the present invention can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part. If the function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), disk or optical disk and other media that can store program codes.

[0129] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A method for scheduling a heating system containing a heat storage tank taking into account the change of heat storage and release roles, characterized in that: It includes: S1. Obtain the original urban heating system operation data, and establish a supply-demand imbalance operation condition identification model between the pressure isolation station and each thermal power station to identify the system supply-demand imbalance operation condition; S2. Add a heat storage tank in the primary network urban area between the pressure isolation station and each heating station of the original urban heating system. After the heat storage tank is connected with the pressure isolation station and each heating station, the supply and demand imbalance operation condition can be adjusted to the supply and demand balance operation condition through the heat storage tank, forming an urban heating system with a heat storage tank; S3. Setting a mechanism for changing the role of a heat storage tank, including: when the heat storage tank is storing heat, the heat storage tank is used as a heat user. To meet the supply and demand balance operating condition, the flow rate on the pressure isolation station side is equal to the sum of the flow rate when the heat storage tank is storing heat and the total flow rate of each thermal power station; when the heat storage tank is releasing heat, the heat storage tank is used as an energy station. To meet the supply and demand balance operating condition, the total flow rate of each thermal power station is equal to the sum of the flow rate when the heat storage tank is releasing heat and the flow rate on the pressure isolation station side; and when the heat storage tank is not in operation, the heat storage tank is neither used as a heat user nor as an energy station, and the flow rate on the pressure isolation station side is equal to the total flow rate of each thermal power station; S4. Establish a calculation model for the hydraulic condition of the heating network of the heating system including the heat storage tank, and make corrections based on the real-time operation parameters of the heating network; S5. Based on the revised calculation model of the hydraulic working condition of the heating network and the role change mechanism of the heat storage tank, combined with the changes in the heat load demand of each heating station, the identification information of the supply and demand imbalance operation condition, and the analysis of the heat network flow distribution and the impact of the heat storage tank on the hydraulic working condition of the heating network when storing and releasing heat, the flow of the heat network pressure isolation station side, the heat storage tank and each heating station in each period is distributed; S6. Based on the flow distribution results of the heat network pressure isolation station, heat storage tank and each thermal power station in each period, the corresponding connected water pumps and valves are regulated; S7. Set up multi-dimensional evaluation indicators, including hydraulic disorder of each thermal power station, hydraulic stability, supply-demand balance coefficient, and energy saving rate, to evaluate the flow distribution and the control effect of water pumps and valves.

2. The method for scheduling a heating system including a heat storage tank according to claim 1, characterized in that: The S1 specifically includes: Obtaining the operation data of the original urban heating system, including: the supply and return water temperature, heat, flow, pressure, outdoor temperature, humidity, wind speed of the primary network pressure isolation station and each heating station in the urban area, as well as factors of holidays and special events; the structure of the original urban heating system includes a heat source, a pressure isolation station, each heating station and each heating user, and the pipe network between the heat source and the pressure isolation station is regarded as the zero-order network, the pipe network between the pressure isolation station and each heating station is regarded as the primary network, and the pipe network between each heating station and each heating user is regarded as the secondary network; The ratio between the heat supply on the side of the urban primary network pressure isolation station and the total heat demand of each thermal power station is taken as the supply-demand imbalance parameter. When the supply-demand imbalance parameter is equal to 1, it indicates that the supply and demand between the pressure isolation station and each thermal power station are balanced; when the supply-demand imbalance parameter is greater than 1, it indicates that the supply between the pressure isolation station and each thermal power station is greater than the demand, and if the supply-demand imbalance parameter is in the first preset interval, the system is in the first type of supply-demand imbalance operating condition; when the supply-demand imbalance parameter is less than 1, it indicates that the supply between the pressure isolation station and each thermal power station is less than the demand, and if the supply-demand imbalance parameter is in the second preset interval, the system is in the second type of supply-demand imbalance operating condition; After data preprocessing and data feature extraction of the original urban heating system operation data, the extracted data features are used as input and the supply and demand imbalance operation conditions are used as output. After training and learning with the machine learning algorithm, a supply and demand imbalance operation condition identification model between the pressure isolation station and each thermal power station is established to identify the system supply and demand imbalance operation conditions, and at the same time obtain the supply and demand imbalance time period, supply and demand imbalance operation condition category and supply and demand imbalance heat value.

3. The method for scheduling a heating system including a heat storage tank according to claim 1, characterized in that: The S2 specifically includes: According to the supply and demand imbalance operation condition identification model between the pressure isolation station and each thermal power station, the historical supply and demand imbalance operation condition information of the original urban heating system and the supply and demand imbalance operation condition information at future moments are obtained, and the demand fluctuation is evaluated to determine the capacity demand of the heat storage tank; Install a heat storage tank in the primary network area between the pressure isolation station and each heating station of the original urban heating system, and arrange water pumps, valves and instruments connected to the heat storage tank. At the same time, connect the heat storage tank with the primary network, pressure isolation station and each heating station in the primary network area through additional pipelines; The heat storage tank is used as a peak-shaving heat source. The heat storage and release characteristics of the heat storage tank are utilized to store excess heat and make up for missing heat, and the supply and demand imbalance operating condition is adjusted to the supply and demand balanced operating condition, forming an urban heating system with heat storage tanks.

4. The method for scheduling a heating system including a heat storage tank according to claim 3, characterized in that: The heat storage and release characteristic model of the heat storage tank is expressed as: E t+1 =(1-η l )E t +(H s,t -H r,t )Δt; η l is the heat loss coefficient of the heat storage tank; E t H is the heat storage capacity of the heat storage tank in period t; s,t , H r,t are the heat storage power and heat release power of the heat storage tank in period t respectively; Δt is the time interval of the calculation period; 0≤E t ≤E max ; 0≤H s,t ≤H s,max ; 0≤H r,t ≤H r,max ; E0=E T ; E max is the maximum heat storage capacity of the heat storage tank; H s,max is the maximum heat storage power of the heat storage tank; H r,max is the maximum heat release power of the heat storage tank; E0 is the initial heat storage capacity of the heat storage tank; E T It is the heat storage amount of the heat storage tank after one scheduling cycle.

5. The method for scheduling a heating system including a heat storage tank according to claim 1, characterized in that: The S3 specifically includes: When the heat storage tank is storing heat, the heat storage tank is used as a heat user. Under the first type of supply-demand imbalance operating condition where supply exceeds demand, the heat storage mode is started. By adjusting the pump group and valve of the pressure isolation station, the heat storage tank absorbs excess heat from the primary network pressure isolation station side and stores it. To meet the supply-demand balance operating condition, the flow rate Q on the pressure isolation station side is 隔压站 Equal to the flow rate Q when the heat storage tank is storing heat 储热 and the total flow of each thermal power station ΣQ 热力站 The sum is expressed as: Q 隔压站 =Q 储热 +ΣQ 热力站 ; When the heat storage tank is releasing heat, the heat storage tank is used as an energy station. The heat release mode is started under the second type of supply and demand imbalance operation condition where supply is less than demand. By adjusting the heat release rate of the heat storage tank and the flow of the pressure isolation station, it is ensured that the total flow supply value meets the total flow demand of each thermal power station; in order to meet the supply and demand balance operation condition, the total flow of each thermal power station ∑Q 热力站 Equal to the flow rate Q when the heat storage tank releases heat 放热 and the flow rate Q on the pressure isolation station side 隔压站 The sum is expressed as: ∑Q 热力站 =Q 隔压站 +Q 放热 ; When the heat storage tank is not in operation, the heat storage tank is neither used as a heat user nor as an energy station. At this time, the system is in a supply-demand balance operation condition, keeping the existing flow unchanged, and only fine-tuning according to the actual needs of each thermal power station. The flow Q on the pressure isolation station side is 隔压站 Equal to the total flow of each thermal power station ΣQ 热力站 , expressed as: Q 隔压站 =ΣQ 热力站 .

6. The method for scheduling a heating system including a heat storage tank according to claim 1, characterized in that: The S4 specifically includes: All nodes and pipe sections in the heat network of the heating system including the heat storage tank are numbered, and the pipe section number, pipe length, inner diameter of the pipe section, wall thickness of the pipe section, absolute roughness of the pipeline, initial node and terminal node are described. Combined with the fluid dynamic characteristic parameters including the heat network flow, pressure and temperature, a heat network model including the structure and operation parameters of the heat network of the heating system including the heat storage tank is established, and the heat network model is represented by graph theory to obtain a heat network topology model; the nodes include heat source, pressure isolation station, thermal power station and heat storage tank; Based on the heat network topology model, the node flow balance equations and the circuit pressure balance equations are expressed in matrix form using the basic correlation matrix and the independent circuit matrix, which can be expressed as: A f is the basic correlation matrix; G is the column vector of the mass flow rate of the pipeline; G n is the mass flow column vector of the node; B f is the independent loop matrix; Δp is the pressure drop column vector at both ends of the pipeline; p is the piezometric head column vector of the node relative to the reference node; Δp w is the resistance loss column vector of the pipeline; Δp p is the pump head column vector; S d is the impedance diagonal matrix of the pipeline; is the diagonal matrix of the mass flow rate of the pipeline; C0 is the column vector of the characteristic coefficient of the water pump; C1 and C2 are the diagonal matrices of the characteristic coefficients of the water pump; The calculation model of steady-state hydraulic conditions is established and expressed as: The heating network operation data is collected in real time and compared with the results of model calculation, the error source parameters are analyzed, and the error source parameters are fitted using an intelligent optimization algorithm with the goal of minimizing the sum of squared errors to correct the hydraulic working condition calculation model.

7. The method for scheduling a heating system including a heat storage tank according to claim 1, characterized in that: The S5 specifically includes: After predicting the change trend of heat load demand of each heat station, a model ∑Q is established between the total flow demand value initially allocated to each heat station and the heat load demand of each heat station and other factors affecting the flow of the heat station 热力站 =f(H rlz ,t rlz,供 ,t rlz,回 ,p rlz,管网 ,E,R), used to describe the heat load demand H at each thermal power station rlz , water supply temperature of heating station network t rlz,供 , Heat station pipe network return water temperature t rlz,回 , Heat station pipe network pressure p rlz,管网 and environmental parameters E, user behavior R, make a preliminary allocation of the total flow demand value of each thermal power station; Obtain the output plan of the system heat source, establish a model Q between the initial allocated flow rate on the pressure isolation station side and the output plan of the heat source and other factors affecting the flow rate of the pressure isolation station 隔压站 =f(P ry ,t ry,供 ,t ry,回 ,p ry,管网 ,E), used to describe the output plan P of the heat source ry , water supply temperature from heat source to pressure isolation station pipe network t ry,供 , return water temperature from heat source to pressure isolation station pipe network t ry,回 , Pipeline network pressure from heat source to pressure isolation station p ry,管网 , and environmental parameter E, make preliminary distribution of flow at the pressure isolation station side; According to the supply and demand imbalance operating condition identification model between the pressure isolation station and each thermal power station, the supply and demand imbalance operating conditions of the system in different time periods in the future are identified, the supply and demand imbalance time period, supply and demand imbalance operating condition category and supply and demand imbalance calorific value are obtained, and the role of the heat storage tank in different time periods and the heat storage and release flow distribution of the heat storage tank are preliminarily set; After adjusting the preliminary flow distribution results of the heat storage tank on the pressure isolation station side, the flow distribution results of the heat network pressure isolation station side, the heat storage tank and each thermal power station in each time period are simulated based on the revised heat network hydraulic condition calculation model, and the impact of the heat storage tank on the hydraulic condition of the heat network when storing and releasing heat is analyzed. The pressure, flow and temperature distribution of each node are calculated, and an optimization algorithm is introduced to meet the supply and demand balance and minimize energy consumption as the goal. At the same time, it is ensured that the flow distribution meets the safe operation requirements of the pipeline network and the hydraulic condition balance conditions of the pipeline network, and the final flow distribution of the heat network pressure isolation station side, heat storage tank and each thermal power station in each time period is carried out.

8. The method for scheduling a heating system including a heat storage tank according to claim 1, characterized in that: The S6 specifically includes: Based on the flow distribution results of the heat network pressure isolation station, heat storage tank and each heat station in each period, the real-time operation data of each equipment in the whole network is monitored at the same time. qw 、Equipment health status jk 、The whole network hydraulic condition W hr , establish the pump valve control model (pump, valve) = f(Q 隔压站 ,Q 储热 ,Q 放热 ,∑Q 热力站 ,S qw ,E jk ,W hr ), set the control strategy for the connected pump groups and valves, including at least the operating power of the pump and the valve opening.

9. The method for scheduling a heating system including a heat storage tank according to claim 1, characterized in that: The method for dispatching a heating system including a heat storage tank further includes: regulating the output of the heat source unit according to the flow distribution result on the pressure isolation station side.

10. The method for scheduling a heating system including a heat storage tank according to claim 1, characterized in that: After S7, if the flow distribution and the water pump and valve control effect evaluation do not meet the standards, the flow distribution and the water pump and valve control effect need to be corrected.

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