Energy Scheduling Method and Related Products

Abstract

An embodiment of the present application provides a method for dispatching energy and related products. The method determines a dispatching plan for an energy supply system based on a target dispatching model, and dispatches the energy of the energy supply system according to the dispatching plan. The target dispatching model includes a first sub-model and a second sub-model. The first sub-model characterizes the relationship between the time-delay characteristics and loss characteristics of heat transfer in the pipe network and temperature and heat medium flow rate, and the second sub-model characterizes the relationship between the energy storage characteristics of the pipe network and temperature and heat medium flow rate, which can improve the operation efficiency of the entire heating system and the heating experience on the heat user side.

Description

Technical Field

[0001] This application relates to the field of energy technologies, and in particular, to a method for dispatching energy and related products. Background Art

[0002] With the continuous improvement of people's living standards, people have a higher pursuit of the comfort of the living environment. The heating project can transport heat energy to people's living and production areas, creating a more comfortable living environment for people.

[0003] For the dispatching of energy in the thermal system, it is currently still based on a pre-determined regulation curve and combined with the operation experience of on-site operators for dispatching.

[0004] However, when using the above-mentioned dispatching method to dispatch the resources of the thermal system, due to over-reliance on the prior knowledge of the operators, the operation efficiency of the system is low, and the heating process on the heat user side of the system is also unstable. Therefore, it is necessary to explore a more efficient and stable dispatching method. Summary of the Invention

[0005] Embodiments of this application disclose a method for dispatching energy and related products. By combining the energy storage characteristics, loss characteristics, and time-delay characteristics of heat transfer in the pipe network of the heating system, an optimized dispatching model is constructed, and an optimal dispatching plan for the heating system is obtained based on this model, which can improve the operation efficiency of the entire heating system and the heating experience on the heat user side.

[0006] In a first aspect, this application provides a method for dispatching energy, the method including: determining a dispatching plan for an energy supply system based on a target dispatching model; the target dispatching model includes a first sub-model and a second sub-model, the first sub-model characterizing the relationship between the time-delay characteristics and loss characteristics of heat transfer in the pipe network and temperature and heat medium flow rate, the second sub-model characterizing the relationship between the energy storage characteristics of the pipe network and temperature and heat medium flow rate, and the pipe network is included in the energy supply system; dispatching the energy of the energy supply system according to the dispatching plan.

[0007] During the energy scheduling process, when energy is transmitted from the pipe network to the heat user side through the transmission medium, there will be a certain time delay, and heat transfer will occur with the external environment, consuming some energy, that is, the time-delay characteristic and loss characteristic during energy transmission. In addition, when energy is transmitted in the pipe network, due to the certain energy storage capacity of the pipe network itself, when the energy transmitted in the pipe network is greater than the demand of the heat user, the pipe network can store this part of the surplus energy, that is, the energy storage characteristic of the pipe network. This method schedules the heat of the energy supply system by making full use of the time-delay characteristic and energy storage characteristic of the heat supply pipe network, and combines the energy storage characteristic of the pipe network. By tapping the energy storage value of the heat supply pipeline, the operation efficiency of the entire heat supply system can be effectively improved and the heat supply experience on the heat user side can be improved.

[0008] In an optional implementation manner of the first aspect, the energy supply system includes a heat source, the pipe network, and heat users. Determining the scheduling plan of the energy supply system based on the target scheduling model includes: determining the heat supply amount of the heat source in the heat supply system based on the target scheduling model.

[0009] The heat supply system is a branched pipe network system composed of a heat supply pipe network, a heat source, and heat users. The variables describing the operation of the heat supply pipe network system include node flow, node pressure, pipe flow, and pipe pressure drop, etc. Establishing a mathematical model of the heat supply pipe network system is to construct the relationship between various variables in the whole system to describe the operation of the heat supply pipe network system. In this embodiment, by establishing a mathematical model of the system, the operation cost of the system can be effectively reduced on the premise of meeting the user's needs.

[0010] In an optional implementation manner of the first aspect, before determining the scheduling plan of the energy supply system based on the target scheduling model, the method further includes: obtaining a first parameter, where the first parameter is a parameter characterizing the transmission characteristic of the pipe network; determining a first relationship, a second relationship, and a third relationship based on the first parameter, where the first relationship characterizes the relationship between a first temperature value and a second temperature value, the first temperature value is the temperature value of the heating medium at multiple nodes in the pipe network, and the second temperature value is the temperature value of the mixed medium obtained by mixing the heating media at the multiple nodes; the second relationship characterizes the relationship between the temperature values of the heating nodes in two adjacent scheduling periods and the temperature value of the heating medium flowing out of the end of the pipe network; the third relationship characterizes the relationship between the heat loss amount of the heating medium during transmission in the pipe network and the ambient temperature; constructing the first sub-model according to the first relationship, the second relationship, and the third relationship.

[0011] It is understandable that the time-delay characteristic and transmission dissipation characteristic during energy transmission through the pipe network are mainly caused by the hot water transmission time, and are also closely related to factors such as the mass flow of the pipe working medium, pipe characteristics, pipe transmission distance, supply water temperature, and external temperature. In this embodiment, by constructing the above-mentioned first sub-model, when using the target scheduling model to schedule thermal energy, the heat supply of the heat source can be adjusted according to the time-delay characteristic and transmission dissipation characteristic during energy transmission through the pipe network, so as to reduce the deviation between the actual temperature value of the heat user and the temperature value set by the user (or the temperature value expected by the user), and improve the heating experience of the user.

[0012] In an optional implementation manner of the first aspect, before determining the scheduling plan of the energy supply system based on the target scheduling model, the method further includes: obtaining a second parameter, where the second parameter is a parameter characterizing the energy storage characteristic of the pipe network; determining a fourth relationship, a fifth relationship, a sixth relationship, and a seventh relationship based on the second parameter, where the fourth relationship characterizes the relationship between the energy storage capacity of the pipe network and the input heat and output heat of the pipe network; the fifth relationship characterizes the relationship between the input heat of the heat source and the supply water temperature value and return water temperature value on the heat source side; the sixth relationship characterizes the numerical relationship between the heat input to the heat user and the supply water temperature value and return water temperature value on the heat user side; the seventh relationship characterizes the relationship between the heat input to the heat user and the heat consumed by the heat user; and constructing the second sub-model according to the fourth relationship, the fifth relationship, the sixth relationship, and the seventh relationship.

[0013] In this embodiment, by regarding the supply and return heat pipelines as a whole for heat transmission, regarding the injected heat of the heat source as the energy input of the equivalent energy storage model, regarding the consumed heat of the load as the energy output of the equivalent energy storage model, and considering the static loss, energy storage loss, and energy release loss of the pipeline energy storage model to simulate various losses during the heat conduction process of the pipeline, an equivalent energy storage model of the heating pipe network is constructed. When using the target scheduling model to schedule thermal energy, the heat supply of the heat source can be adjusted according to the heat already stored in the pipe network, which can reduce the reduction of the heat source output and ensure the safe and stable operation of the heating system.

[0014] In an alternative implementation of the first aspect, the target scheduling model includes an objective function and constraint conditions. Before determining the scheduling plan of the energy supply system based on the target scheduling model, the method further includes: determining a first index, a second index, a third index, a fourth index, and a fifth index, where the first index represents the operating cost of the heat source, the second index represents the deviation degree between the actual temperature value and the set value of the heat user, the third index represents the change degree of the heat output on the heat source side between two adjacent scheduling periods, the fourth index represents the change degree of the supply water temperature value on the heat user side between two adjacent scheduling periods, and the fifth index represents the change degree of the return water temperature value on the heat user side between two adjacent scheduling periods; performing a superposition process on the first index, the second index, the third index, the fourth index, and the fifth index to obtain the objective function.

[0015] In this embodiment, by establishing the above objective function and obtaining the state variables that minimize the above objective function, the fuel cost of the heat source and the operating energy consumption cost of the system can be reduced, and the change amount of the heat source output can also be reduced, thereby avoiding frequent changes in the heat source output and improving the operating conditions of the heat source device.

[0016] In an alternative implementation of the first aspect, the first relationship is expressed as:

[0017] ∑ b∈D (τ b ·ms b )=τ e ∑ b∈D ms b ;

[0018] Where D is the range of the multiple nodes, b is the node in D, τ b is the temperature value of the heating medium of b, ms b is the mass flow rate of the heating medium in b, and τ e represents the second temperature value;

[0019] The second relationship is expressed as:

[0020]

[0021] Where Δt is the sampling time interval, ms t ·Δt is the first medium flowing out of the end of the pipe network within Δt1, and τ′ oThe temperature value of the first heating medium without considering the heat loss, where τ(t - γ) and τ(t - γ - 1) are the temperatures of two adjacent scheduling cycle heating nodes, R represents the mass of the second medium flowing into the pipe network within the time of γ·Δt, ρ is the density of the heating medium in the pipe network, A is the cross-sectional area of the pipe network; L is the length of the pipe network;

[0022] The third relationship is expressed as:

[0023] τ o = τ am + J b ·(τ′ o - τ am ) ;

[0024] The τ o is the actual temperature value of the temperature of the first medium, the τ am is the temperature of the environment where the pipe network is located, and J b is the temperature drop coefficient of the pipe network.

[0025] In an alternative implementation of the first aspect, the fourth relationship is expressed as:

[0026]

[0027] The η ESL represents the equivalent static loss rate of heat storage in the pipe network, the η ESC represents the equivalent heat storage loss of the pipe network, the η ESD represents the equivalent heat release loss of the pipe network, E ES (t) and the E ES (t + 1) represent the equivalent heat storage amounts in the pipe network within two adjacent scheduling cycles;

[0028] The fifth relationship is expressed as:

[0029] H in (t) = c·ms t ·Δt·(τ S (t) - τ R )(t));

[0030] The H in (t) is the product of the heating power of the heat source and the scheduling cycle, c is the specific heat capacity of the heating medium, ms t is the mass flow rate of the heating medium within the scheduling cycle, τ S (t) is the temperature value on the heat source side of the heating pipeline, τ R(t) is the temperature value on the heat source side of the heat recovery pipeline, and the heat supply pipeline and the heat recovery pipeline are included in the pipe network.

[0031] The sixth relationship is expressed as:

[0032] H out (t) = c·ms t ·Δt·(τ in (t) - τ out (t));

[0033] The H out (t) is the product of the heat consumption power of the heat user and the scheduling period, the τ in (t) is the temperature value on the heat user side of the heat supply pipeline, the τ out (t) is the temperature value on the heat user side of the heat recovery pipeline;

[0034] The seventh relationship is expressed as:

[0035]

[0036] The c user is the specific heat capacity of the indoor medium on the user side, the m user The is the mass of the indoor medium on the user side, the ξ is the heat loss coefficient related to the building envelope of the heat user, the τ am is the ambient temperature where the heat user is located.

[0037] In an alternative implementation of the first aspect, the objective function is:

[0038]

[0039] The C om is the operating cost per unit heat power output by the heat source, the is the unit penalty amount for the temperature of the heat user deviating from the set value, the is the unit cost of the change in the heat source output between two adjacent scheduling periods, the is the unit cost of the change in the temperature on the heat user side of the heat supply pipeline between two adjacent scheduling periods, the Δτ in (t) is the change in the temperature on the heat user side of the heat supply pipeline within two adjacent scheduling periods, the is the unit cost of the change in the temperature on the heat user side of the heat recovery pipeline between two adjacent scheduling periods, the Δτ out (t) is the change in the temperature on the heat user side of the heat recovery pipeline within two adjacent scheduling periods, and the min represents the operator for minimizing the objective function.

[0040] In a second aspect, the present application provides a device for dispatching energy. The device includes: a determining unit, configured to determine a dispatching plan for an energy supply system based on a target dispatching model; the target dispatching model includes a first sub-model and a second sub-model, the first sub-model characterizes the relationship between the time-delay characteristic and loss characteristic of heat transfer in a pipe network and temperature and heat medium flow rate, the second sub-model characterizes the relationship between the energy storage characteristic of the pipe network and temperature and heat medium flow rate, and the pipe network is included in the energy supply system; a dispatching unit, configured to dispatch the energy of the energy supply system according to the dispatching plan.

[0041] In an optional implementation manner of the second aspect, the energy supply system includes a heat source, the pipe network, and heat users. The determining unit is specifically configured to determine the heat supply amount of the heat source in the heat supply system based on the target dispatching model.

[0042] In an optional implementation manner of the second aspect, the dispatching device further includes: an obtaining unit and a constructing unit. The obtaining unit is configured to obtain a first parameter, where the first parameter is a parameter characterizing the transmission characteristic of the pipe network; the determining unit is further configured to determine a first relationship, a second relationship, and a third relationship based on the first parameter. The first relationship characterizes the relationship between a first temperature value and a second temperature value. The first temperature value is the temperature value of the heat supply medium at multiple nodes in the pipe network, and the second temperature value is the temperature value of the mixed medium obtained by mixing the heat supply media at the multiple nodes; the second relationship characterizes the relationship between the temperature values of the heat supply nodes in two adjacent dispatching periods and the temperature value of the heat supply medium flowing out of the end of the pipe network; the third relationship characterizes the relationship between the heat loss amount of the heat supply medium during transmission in the pipe network and the ambient temperature; the constructing unit is configured to construct the first sub-model according to the first relationship, the second relationship, and the third relationship.

[0043] In an optional implementation manner of the second aspect, the obtaining unit is further configured to obtain a second parameter, where the second parameter is a parameter characterizing the energy storage characteristic of the pipe network; the determining unit is further configured to determine a fourth relationship, a fifth relationship, a sixth relationship, and a seventh relationship based on the second parameter. The fourth relationship characterizes the relationship between the energy storage capacity of the pipe network and the input heat and output heat of the pipe network; the fifth relationship characterizes the relationship between the input heat of the heat source and the water supply temperature value and return water temperature value on the heat source side; the sixth relationship characterizes the numerical relationship between the heat input to the heat users and the water supply temperature value and return water temperature value on the heat user side; the seventh relationship characterizes the relationship between the heat input to the heat users and the heat consumed by the heat users; the constructing unit is further configured to construct the second sub-model according to the fourth relationship, the fifth relationship, the sixth relationship, and the seventh relationship.

[0044] In an optional implementation of the second aspect, the determining unit is further configured to determine a first index, a second index, a third index, a fourth index, and a fifth index, where the first index represents the operating cost of the heat source, the second index represents the degree of deviation between the actual temperature value and the set value of the heat user, the third index represents the degree of change in the heat output on the heat source side between two adjacent scheduling periods, the fourth index represents the degree of change in the supply water temperature value on the heat user side between two adjacent scheduling periods, and the fifth index represents the degree of change in the return water temperature value on the heat user side between two adjacent scheduling periods; the constructing unit is further configured to perform a superposition process on the first index, the second index, the third index, the fourth index, and the fifth index to obtain the objective function.

[0045] In a third aspect, the present application provides an electronic device, where the electronic device includes: a memory for storing a program; a processor for executing the program stored in the memory, and when the program is executed, the processor is configured to execute the method according to the first aspect and any optional implementation manner.

[0046] In a fourth aspect, the present application provides a computer-readable storage medium, where a computer program is stored in the computer storage medium, and the computer program includes program instructions, and when the program instructions are executed by a processor, the processor is configured to execute the method according to the first aspect and any optional implementation manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the background art, the following will briefly introduce the drawings required to be used in the embodiments of the present application or the background art.

[0048] Figure 1 It is an architecture diagram of a heating system provided by an embodiment of the present application;

[0049] Figure 2 It is a heating temperature regulation curve graph provided by an embodiment of the present application;

[0050] Figure 3 It is a flowchart of a method for energy scheduling provided by an embodiment of the present application;

[0051] Figure 4 It is another architecture diagram of a heating system provided by an embodiment of the present application;

[0052] Figure 5 It is a schematic diagram of the heating process of a heating pipeline provided by an embodiment of the present application;

[0053] Figure 6 It is a schematic structural diagram of an energy scheduling device provided by an embodiment of the present application;

[0054] Figure 7 This is a schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0055] In order to make the objectives, technical solutions, and advantages of the present application clearer, the present application will be further described below with reference to the accompanying drawings.

[0056] Terms such as "first" and "second" in the specification, claims, and drawings of the present application are only used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device, etc. that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or devices, etc.

[0057] The "embodiment" mentioned herein means that the specific features, structures, or characteristics described in combination with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase at various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art can explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0058] In the present application, "at least one (item)" means one or more, "a plurality" means two or more, "at least two (items)" means two or three and more than three, and "and / or" is used to describe the association relationship of associated objects, indicating that three relationships can exist. For example, "A and / or B" can represent: only A exists, only B exists, and both A and B exist at the same time. Among them, A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects before and after. "At least one (one) of the following" or a similar expression means any combination of these items. For example, at least one (one) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a, b, and c".

[0059] Embodiments of the present invention provide a method, device, equipment, and storage medium for energy scheduling. To describe the solution of the present invention more clearly, some knowledge related to the method, device, equipment, and storage medium for energy scheduling provided by the embodiments of the present application will be introduced first.

[0060] Heating system: A heating system consists of three parts: a heat source, a pipe network, and heat users. Heat sources include power plants using combined heat and power, centralized boiler houses, industrial and other waste heat, geothermal energy, nuclear energy, solar energy, heat pumps, etc. It can also be a multi-source combined heating system composed of several heat sources. The distribution of heat sources should be as concentrated and reasonable as possible, and high-parameter, large-capacity, and high-efficiency equipment should be selected for heat source equipment as much as possible. The location of the heat source should be set as close as possible to the heat load center and determined through technical and economic comparison considering various factors such as fuel transportation, heat pipe network and power transmission lines, water source, ash removal, terrain, geology, hydrology, environmental protection, and comprehensive utilization. The centralized heating heat source, heat pipe network, and heat user facilities should be unifiedly planned, overall arranged, and constructed synchronously to give full play to the economic and social benefits of centralized heating as soon as possible.

[0061] End of the pipeline: The pipe network includes a heating pipeline and a heat recovery pipeline. For details, reference can be made to Figure 1 the architecture diagram of the heating system shown. In Figure 1 , the heating pipeline 102 and the heat recovery pipeline 104 are collectively referred to as the pipe network, and both are connected to the heat source 101 and the heat user 103. During the heating process, the high-temperature water flowing out from the heat source flows through the heating pipeline 102 to the heat user 103. After providing heat to the heat user 103, the temperature of the high-temperature water drops and becomes low-temperature water, which flows back to the heat source 101 through the heat recovery pipeline 104. In the figure, 102A is the end of the heating pipeline 102 connected to the heat source 101, 102B is the end of the heating pipeline 102 connected to the heat user 103, 104A is the end of the heat recovery pipeline 104 connected to the heat source 101, and 104B is the end of the heat recovery pipeline 104 connected to the heat user 103. In some embodiments of the present application, the heat source 101 can also be referred to as the heat source side, the heat user 103 can also be referred to as the heat user side or the load side, 102A can be referred to as the heat source side of the heating pipeline, 102B can be referred to as the heat user side or the load side of the heating pipeline, 104A can be referred to as the heat source side of the heat recovery pipeline, and 104B can be referred to as the heat user side or the load side of the heat recovery pipeline.

[0062] Objective function and constraints: A linear programming problem consists of a linear objective function and linear constraints (including the non-negativity condition of variables). The set of all solutions that satisfy the constraints is called the feasible solution region. The solution that satisfies both the constraints and makes the objective function reach an extreme value is called the optimal solution.

[0063] Delay characteristic: When energy is transmitted from the pipe network to the heat user side through a transmission medium, it takes a certain delay to flow out of the pipe network, that is, the transmission delay characteristic.

[0064] Loss characteristics: When energy is transmitted from the pipe network to the heat user side through the transmission medium, since the temperature of the medium in the pipe is much higher than the ambient temperature, part of the energy will be consumed due to heat transfer between the heating medium in the pipe and the external environment during conduction, that is, the loss characteristics of energy transmission.

[0065] Energy storage characteristics of the pipe network: When heating and heat recovery are carried out, when the demand of users is much smaller than the output of the heat source, the pipe network can be regarded as a passive heat storage device between the heat source and heat users, storing this part of the surplus energy, that is, the energy storage characteristics of the pipe network.

[0066] Supervisory Control And Data Acquisition (SCADA) system: The SCADA system is a computer-based DCS and power automation monitoring system; it has a wide range of application fields and can be used for data acquisition, monitoring and control, and process control in many fields such as power, metallurgy, petroleum, chemical industry, gas, and railway. It plays an important role in the telecontrol system and can monitor and control the on-site operating equipment to achieve various functions such as data acquisition, equipment control, measurement, parameter adjustment, and various signal alarms.

[0067] At present, urban central heating is developing towards automatic control and economic operation. Establishing an optimal scheduling model for the heating pipe network is an effective means to ensure the safe and economic operation of the heat network. At present, the scheduling of heat energy in the heating pipe network mostly adopts a pre-determined regulation curve and combines the operation experience of on-site operators for scheduling. Specifically, reference can be made to Figure 2 the heating temperature regulation curve graph of the heating system shown. In Figure 2 the shown curve graph, the vertical axis is the supply / return water temperature axis of the pipe network, and the horizontal axis is the outdoor temperature axis. In the actual scheduling process, the operator calculates the heating flow according to the heat load of the heating area and the supply water temperature and return water temperature in the curve graph. If the heating area changes during the heating period, the operator can adjust the flow according to his own experience. However, when using the above scheduling method to schedule the resources of the thermal system, due to over-reliance on the prior knowledge of the operators and the lack of objective and comprehensive consideration of the characteristics of energy transmission in the heating system, the operation efficiency of the heating system is low, and the heating process on the heat user side of the system is also unstable.

[0068] In view of the defects existing in the above method, the embodiment of the present application provides a method for scheduling energy. As Figure 3 shown, the method may include the following steps:

[0069] 301. The scheduling device determines the scheduling plan of the energy supply system based on the target scheduling model; the target scheduling model includes a first sub-model and a second sub-model.

[0070] The above scheduling device may be a mobile phone, a computer with data transceiver function (such as a laptop computer, a personal digital assistant, etc.), a mobile internet device (MID), a terminal in industrial control, a wearable device (such as a smart watch, a smart bracelet, etc.), or other terminal devices with storage capacity and computing ability. The embodiments of the present application do not make any limitations thereto.

[0071] The above first sub-model characterizes the relationship between the time-delay characteristics and loss characteristics of heat transfer in the pipe network and temperature and heat medium flow rate. The above second sub-model characterizes the relationship between the energy storage characteristics of the above pipe network and temperature and heat medium flow rate. The above pipe network is included in the above energy supply system. The energy supply system may include a heat source, the above pipe network, and heat users. Among them, the heat source may be a heat production device such as a water source heat pump, an electric boiler, a gas boiler, or a heat transfer device such as purchased heat or a heat exchange station. The pipe network may be a closed system pipe network, an open system pipe network, etc. The heat users may include one or more of industrial users (i.e., factories that apply heat energy to the production process and production workshops of products), commercial users (i.e., users such as shopping malls, office buildings, hotels, etc.), residential users, and other users (such as schools, hospitals, etc.), or may include heat users of other natures. The heat users obtain heat from the above pipe network and, through the control of the temperature control unit, make the indoor temperature track the indoor set temperature. Specifically, the above energy supply system may be Figure 1 the heating system shown in

[0072] In some embodiments, before performing step 301, the above scheduling device will also obtain a first parameter, which is a parameter characterizing the transmission characteristics of the above pipe network; and determine a first relationship, a second relationship, and a third relationship based on the above first parameter. The first relationship characterizes the relationship between a first temperature value and a second temperature value. The first temperature value is the temperature value of the heating medium at multiple nodes in the pipe network, and the second temperature value is the temperature value of the mixed medium obtained by mixing the heating media at the above multiple nodes; the second relationship characterizes the relationship between the temperature value of the heating node in two adjacent scheduling periods and the temperature value of the heating medium flowing out of the end of the above pipe network; the third relationship characterizes the relationship between the heat loss amount of the heating medium during transmission in the above pipe network and the ambient temperature; then, the scheduling device will construct the above first sub-model according to the above first relationship, the above second relationship, and the above third relationship. Specifically, the above scheduling device may obtain the above first parameter from the SCADA system.

[0073] In some embodiments, before performing step 301, the above scheduling device further obtains a second parameter, which is a parameter characterizing the energy storage characteristics of the above pipeline network; and determines a fourth relationship, a fifth relationship, a sixth relationship, and a seventh relationship based on the above second parameter. The fourth relationship characterizes the relationship between the energy storage capacity of the above pipeline network and the input heat and output heat of the above pipeline network; the fifth relationship characterizes the relationship between the input heat of the above heat source and the supply water temperature value and return water temperature value on the heat source side; the sixth relationship characterizes the numerical relationship between the heat input to the above heat user and the supply water temperature value and return water temperature value on the heat user side; the seventh relationship characterizes the relationship between the heat input to the above heat user and the heat consumed by the heat user; thereafter, the above scheduling device will construct the above second sub-model according to the above fourth relationship, the above fifth relationship, the above sixth relationship, and the above seventh relationship. Specifically, the above scheduling device can obtain the above second parameter from the SCADA system.

[0074] Specifically, the above scheduling device can use optimization solvers such as Lpsolve and Cplex to solve the planning problem corresponding to the above target scheduling model, and determine the heat supply of the heat source in the above heating system based on the above target scheduling model.

[0075] In some embodiments, the above target scheduling model includes an objective function and constraint conditions. Before performing step 301, the above scheduling device will determine a first index, a second index, a third index, a fourth index, and a fifth index. The first index characterizes the operating cost of the above heat source; the second index characterizes the deviation degree between the actual temperature value and the set value of the above heat user; the third index characterizes the change degree of the output heat on the heat source side between two adjacent scheduling periods; the fourth index characterizes the change degree of the supply water temperature value on the heat user side between two adjacent scheduling periods; the fifth index characterizes the change degree of the return water temperature value on the heat user side between two adjacent scheduling periods; thereafter, the above scheduling device will perform a superposition process on the above first index, the above second index, the above third index, the above fourth index, and the above fifth index to obtain the above objective function.

[0076] To elaborate on the objective function and constraint conditions of the above target scheduling model, the present application provides an architecture diagram of a heating system. Please refer to Figure 4 . As Figure 4 shown, the heating system includes a heat source 401, heat users 402, a heating pipeline 403, and a heat recovery pipeline 404. Among them, the heating pipeline 403 and the heat recovery pipeline 404 can be collectively referred to as the pipeline network of the heating system.

[0077] During the heat supply process of the above heat supply system, the heat source 401 uses water as the heat supply medium and transfers heat to the heat user 402 through the heat supply pipeline 401. During a scheduling period, the product of the heat supply power of the heat source and the scheduling period t (i.e., the heat injected into the heat supply pipeline within the period t) can be expressed as H in (t), and the temperature on the heat source side of the heat supply pipeline can be expressed as τ s (t); it can be understood that when the heat supply medium is transmitted in the heat supply pipeline, heat transfer occurs with the external environment, resulting in heat energy loss. Therefore, the temperature on the heat user side of the heat supply pipeline can be expressed as τ in (t), and the product of the heat consumption power of the heat load and the scheduling period (i.e., the heat consumed by the heat user within the period t) can be expressed as H out (t), while the expected temperature value of the heat user can be expressed as τ user (t). After the heat user uses heat, the heat supply medium will flow from the heat user 402 to the heat source 401 through the heat recovery pipeline 404, and the temperature on the heat user side of the heat recovery pipeline can be expressed as τ out (t). Similarly, the temperature on the heat source side of the heat recovery pipeline can be expressed as τ R (t). Secondly, Figure 4 In Δt represents the interval between the regulation periods of the regulation system, in ms t represents the mass flow rate of the heat supply medium within the scheduling period t, in ms t-1 represents the mass flow rate of the heat supply medium within the scheduling period (t - 1), where the scheduling period t and the scheduling period (t - 1) are two adjacent scheduling periods, and so on. In addition, the change value of the heat source output between two adjacent scheduling periods (i.e., the scheduling period t and the scheduling period (t - 1)) ( Figure 4 not shown in) can be expressed as X in (t), and the adjustment amount of the load side temperature within two adjacent scheduling periods (i.e., the scheduling period t and the scheduling period (t - 1)) ( Figure 4 not shown in) can be expressed as X Load (t).

[0078] Based on Figure 4 the heat supply system shown, the above objective function can be expressed as:

[0079]

[0080] wherein, the above C om is the operating cost per unit heat power output by the above heat source 401, the above is the unit penalty amount for the temperature of the above heat user 402 deviating from the set value, the above is the unit cost of the output change of the above heat source 401 between two adjacent scheduling periods, the above is the unit cost of the temperature change on the heat user side of the above heating pipeline 403 between two adjacent scheduling cycles, and the above Δτ in (t) is the change in the temperature on the heat user side of the above heating pipeline 403 within two adjacent scheduling cycles, and the above is the unit cost of the temperature change on the heat user side of the above heat regeneration pipeline 404 between two adjacent scheduling cycles, and the above Δτ out (t) is the change in the temperature on the heat user side of the above heat regeneration pipeline 404 within two adjacent scheduling cycles, and the above min represents the operator for minimizing the objective function.

[0081] By establishing the above objective function and the above optimization scheduling objective, minimizing C om ·H in (t) (i.e., the above first index) can achieve the purpose of reducing the operating cost of the above heat source, thereby reducing the operating energy consumption cost of the above heating system; minimizing (i.e., the above second index) can achieve the purpose of reducing the deviation of the temperature on the heat user side from the preset value, thereby improving the energy supply experience on the heat user side; from (i.e., the above third index) can achieve the purpose of reducing the change in the heat source output, thereby avoiding frequent changes in the heat source output and improving the operating conditions of the heat source device; from (i.e., the above fourth index) and (i.e., the above fifth index) can achieve the purpose of limiting the temperature change trend of the supply / heat regeneration pipeline, thereby reducing the fluctuation of the supply / return water heat temperature on the heat user side. By and flexible configuration of the values can achieve the purpose of adjusting the expected supply / return water temperature regulation on the heat source side.

[0082] Based on Figure 4 the heating system shown, the above constraints may include:

[0083] 1) Heating pipeline heat source side temperature constraint:

[0084]

[0085] This constraint formula indicates that the temperature τ S (t) on the heat source side of the heating pipeline in the t-th scheduling cycle should be between the lower limit τ S and the upper limit of the temperature on the heat source side of the heating pipeline;

[0086] 2) Heat regeneration pipeline heat source side temperature constraint:

[0087]

[0088] This constraint expression indicates that the temperature τ of the heat source side of the regenerative pipeline during the t-th scheduling period R (t) should be between the lower limit of the temperature of the heat source side of the regenerative pipeline τ R and the upper limit of the temperature of the heat source side of the regenerative pipeline ;

[0089] 3) User-side temperature constraint:

[0090]

[0091] This constraint expression indicates that the temperature τ of the user side during the t-th scheduling period user (t) should be between the lower limit of the temperature of the heat user side τ user and the upper limit of the temperature of the heat user side ;

[0092] 4) Heat injection amount constraint of the heat supply network:

[0093]

[0094] This constraint expression indicates that the heat injection amount H of the heat supply network during the t-th scheduling period in (t) should be between the lower limit of the heat injection amount of the heat supply network H in (t) and the upper limit of the heat injection amount of the heat supply network ;

[0095] 5) Heat output amount constraint of the heat supply network:

[0096]

[0097] This constraint expression indicates that the heat output amount H of the heat supply network during the t-th scheduling period out (t) should be between the lower limit of the heat output amount of the heat supply network H out (t) and the upper limit of the heat output amount of the heat supply network ;

[0098] 6) Temperature change constraint of the heat source side of the heat supply pipeline:

[0099]

[0100] This constraint expression indicates that the difference between the temperature τ of the heat source side of the heat supply pipeline during the t-th scheduling period S (t) and the temperature τ of the heat source side of the heat supply pipeline during the adjacent previous scheduling period (i.e., the (t - 1)-th scheduling period) S (t - 1) should be between the lower limit of the temperature change of the heat source side of the heat supply pipeline -Δτ S and the upper limit of the temperature change of the heat source side of the heat supply pipeline Δτ S ;

[0101] 7) Temperature change constraint of the user:

[0102] -Δτ user ≤τ user (t)-τ user (t - 1)≤Δτ user ;

[0103] This constraint indicates that the temperature τ user (t) of the user in the t-th scheduling period and the temperature τ user (t - 1) of the user side in the adjacent previous scheduling period (i.e., the (t - 1)-th scheduling period) should have a difference between the lower limit -Δτ user of the user's temperature change and the upper limit Δτ user of the user's temperature change. It can be understood that the temperature of the user mentioned here refers to the temperature of the environment where the user is located, such as the indoor temperature of the user.

[0104] 8) Temperature change constraint of the heat user side of the heating pipeline:

[0105] -Δτ in ≤τ in (t)-τ in (t - 1)≤Δτ in ;

[0106] This constraint indicates that the temperature τ in (t) of the heat user side of the heating pipeline in the t-th scheduling period and the temperature τ in (t - 1) of the heat user side of the heating pipeline in the adjacent previous scheduling period (i.e., the (t - 1)-th scheduling period) should have a difference between the lower limit -Δτ in of the temperature change of the heat user side of the heating pipeline and the upper limit Δτ in of the temperature of the heat user side of the heating pipeline;

[0107] 9) Temperature change constraint of the heat user side of the regenerative pipeline:

[0108] -Δτ out ≤τ out (t)-τ out (t - 1)≤Δτ out ;

[0109] This constraint indicates that the temperature τ out (t) of the heat user side of the regenerative pipeline in the t-th scheduling period and the temperature τ out (t - 1) of the heat user side of the regenerative pipeline in the adjacent previous scheduling period (i.e., the (t - 1)-th scheduling period) should have a difference between the lower limit -Δτ out of the temperature change of the heat user side of the regenerative pipeline and the upper limit Δτ out of the temperature of the user side of the regenerative pipeline;

[0110] 10) Regulation amount X of the temperature on the heat user side within the scheduling period t Load (t) Constraint:

[0111]

[0112]

[0113] This constraint formula is used for linearized representation;

[0114] 11) Regulation amount constraint of the heat source within the regulation period t:

[0115] X in (t) ≥ H in (t) - H in (t - 1);

[0116] X in (t) ≥ H in (t - 1) - H in (t);

[0117] This constraint formula is used for linearized representation of X in (t) = |H in (t) - H in (t - 1)|, where H in (t) represents the product of the heat supply power of the heat source in the (t - 1) period and the scheduling period.

[0118] 12) Energy storage capacity constraint of the heat supply system pipeline network:

[0119]

[0120] In this constraint formula, cap ES is the equivalent heat storage capacity of the pipeline network, is the minimum coefficient of the heat storage capacity of the pipeline network, is the maximum coefficient of the heat storage capacity of the pipeline network, E ES (t) is the energy storage capacity within the scheduling period t.

[0121] It should be understood that the time-delay characteristics and loss characteristics during the heat transfer of the heat supply pipeline network are mainly caused by the hot water transfer time, and are also closely related to factors such as the mass flow of the pipeline working medium, pipeline characteristics, pipeline transmission distance, supply water temperature, and external temperature. To further illustrate the above first sub-model and second sub-model, in combination with Figure 4 the shown heat supply system, the present application provides a schematic diagram of the heat supply process of the heat supply pipeline. Please refer to Figure 5 .

[0122] For the convenience of the reader's understanding, Figure 5The following is a side screenshot of the heating pipeline 501. As Figure 5 shown, the heating pipeline 501 includes a pipe wall 5011 and a pipe wall 5012. Specifically, the heating pipeline 501 can be the above-mentioned heating pipeline 403.

[0123] When the heating optical path adopts the constant flow-variable temperature regulation method, since the flow rate of the heating medium is constant, only the influence of the change in the medium temperature on the heating system needs to be considered. Using the nodal method to model the system, the above first relationship can be expressed as:

[0124] ∑ b∈D (τ b ·ms b ) = τ e ∑ b∈D ms b ;

[0125] The above D is the range of the above multiple nodes, the above b is the node in the above D, the above τ b is the temperature value of the heating medium of the above b, the above ms b is the mass flow rate of the above b, and the above τ e represents the above second temperature value.

[0126] Since water is used as the heat-conducting medium and this medium has the characteristic of incompressibility, if ms t ·Δt of the heat-conducting medium is injected from the head end of the heating pipeline 501 within the sampling time Δt, then the same amount of ms t ·Δt of the heat-conducting medium will flow out at the end of the heating pipeline 501. Then, using the steady-state transmission constraint of the pipe network to obtain the composition of the heat-conducting medium flowing out at the end of the pipeline, it is composed of a part of the heating medium flowing out in the period (t - γ) and a part of the heating medium flowing out in the period (t - γ - 1), that is, Figure 5 the shaded part in represents the mixed medium 502; the above second relationship can be expressed as:

[0127]

[0128] The above Δt is the interval of the sampling time, the above ms t ·Δt is the first medium flowing out at the end of the above pipe network within the above Δt1, and the above τ′ oThe temperature value of the first heating medium above, without considering the heat loss. The above τ(t - γ) and τ(t - γ - 1) are the temperatures of two adjacent scheduling cycle heating nodes respectively. The above R represents the mass of the second medium flowing into the heating pipeline 501 within the time of γ·Δt. The above ρ is the density of the heating medium in the pipe network. The above A is the cross-sectional area of the pipe network. The above L is the length of the pipe network; it can be understood that ρAL represents the mass of the heating medium in the heating pipeline 501 when the heating pipeline 501 is filled with the heating medium.

[0129] Since the heating medium will exchange heat with the external environment when conducting in the pipeline, and generally the temperature of the medium in the pipeline is much higher than the environmental temperature, considering the equation of heat loss in the pipeline network during transmission, the above third relationship can be expressed as:

[0130] τ o = τ am + J b ·(τ′ o - τ am );

[0131] The above τ o The actual temperature value of the temperature of the first medium. The above τ am is the temperature of the environment where the pipe network is located. The above J b is the temperature drop coefficient of the pipe network, which can be expressed as:

[0132]

[0133] Where, λ b represents the thermal conductivity of the pipe, and c is the specific heat capacity of the heating medium.

[0134] Combined with Figure 4 the architecture diagram of the heating system shown, regarding the supply and return heating pipelines as a whole for heat transfer, establishing an equivalent energy storage model of the heating pipeline network, regarding the injected heat of the heat source as the energy input of this equivalent energy storage model, regarding the consumed heat of the load as the energy output of this equivalent energy storage model, and considering the static loss, energy storage loss, and energy release loss of the pipeline energy storage model,

[0135] to simulate various losses during the heat conduction process of the pipeline, then the above fourth relationship can be expressed as:

[0136]

[0137] The above η ESL represents the equivalent static loss rate of heat storage of the above pipe network. The above η ESC represents the equivalent heat storage loss of the above pipe network. The above η ESD represents the equivalent heat release loss of the above pipe network. The above EES (t) and the above-mentioned E ES (t + 1) represents the equivalent heat storage of the pipe network in two adjacent scheduling cycles;

[0138] The above-mentioned fifth relationship is the relational expression of the supply and return water temperatures and the injected heat on the heat source side, which can be expressed as:

[0139] H in (t) = c·ms t ·Δt·(τ S (t) - τ R (t));

[0140] The above-mentioned H in (t) is the product of the heating power of the above-mentioned heat source and the scheduling cycle, the above-mentioned c is the specific heat capacity of the above-mentioned heating medium, and the above-mentioned ms t is the mass flow rate of the above-mentioned heating medium within the scheduling cycle, the above-mentioned τ S (t) is the temperature value on the heat source side of the heating pipeline, and the above-mentioned τ R (t) is the temperature value on the heat source side of the heat regeneration pipeline, and the above-mentioned heating pipeline and the above-mentioned heat regeneration pipeline are included in the above-mentioned pipe network.

[0141] The above-mentioned sixth relationship is the relational expression of the supply and return water temperatures and the output heat on the heat user side, which can be expressed as:

[0142] H out (t) = c·ms t ·Δt·(τ in (t) - τ out (t));

[0143] The above-mentioned H out (t) is the product of the heat consumption power of the above-mentioned heat user and the above-mentioned scheduling cycle, and the above-mentioned τ in (t) is the temperature value on the above-mentioned heat user side of the above-mentioned heating pipeline, and the above-mentioned τ out (t) is the temperature value on the heat user side of the above-mentioned heat regeneration pipeline;

[0144] The above-mentioned seventh relationship is the relational expression of the indoor temperature, ambient temperature and consumed heat on the heat user side, which can be expressed as:

[0145]

[0146] The above-mentioned c user is the specific heat capacity of the indoor medium on the user side, and the above-mentioned m user The above-mentioned is the mass of the indoor medium on the user side, ξ is the heat loss coefficient related to the building envelope of the above-mentioned heat user, and the above-mentioned τ am is the ambient temperature where the above-mentioned heat user is located.

[0147] 302. The above scheduling device schedules the energy of the energy supply system according to the above scheduling plan.

[0148] After obtaining the above scheduling plan based on the above target scheduling model, the above scheduling device issues the scheduling plan to the control system, and the control system executes the scheduling plan.

[0149] It can be understood that when the control system executes the above scheduling plan, the operation of the above heating system will enter the next system time section. Therefore, the above scheduling device will update the parameters of the above target scheduling model based on the operation parameters of the heating system in the next time section, obtain the scheduling plan for the next time section, and issue it to the above control system for execution, and so on.

[0150] The following describes the process of heat energy scheduling of the heating system in combination with the structure of the energy scheduling device. Figure 6 It is a schematic structural diagram of an energy scheduling device provided by an embodiment of the present application. Figure 6 The energy scheduling device in can be the scheduling device in the foregoing embodiment. As Figure 6 shown, the energy scheduling device includes:

[0151] A determination unit 601, configured to determine a scheduling plan for the energy supply system based on a target scheduling model; the target scheduling model includes a first sub-model and a second sub-model, the first sub-model characterizes the relationship between the time-delay characteristic and loss characteristic of heat transfer in the pipe network and temperature and heat medium flow rate, the second sub-model characterizes the relationship between the energy storage characteristic of the pipe network and temperature and heat medium flow rate, and the pipe network is included in the energy supply system.

[0152] A scheduling unit 602, configured to schedule the energy of the energy supply system according to the above scheduling plan.

[0153] In an optional implementation manner, the energy supply system includes a heat source, the above pipe network, and heat users, and the determination unit 601 is specifically configured to determine the heat supply amount of the heat source in the above heating system based on the above target scheduling model.

[0154] In an alternative embodiment, the above-mentioned scheduling device further includes: an acquisition unit 603 and a construction unit 604. The acquisition unit 603 is configured to acquire a first parameter, where the first parameter is a parameter characterizing the transmission characteristics of the pipe network; the determination unit 601 is further configured to determine a first relationship, a second relationship, and a third relationship based on the first parameter. The first relationship characterizes the relationship between a first temperature value and a second temperature value. The first temperature value is the temperature value of the heating medium at multiple nodes in the pipe network, and the second temperature value is the temperature value of the mixed medium obtained by mixing the heating media of the multiple nodes; the second relationship characterizes the relationship between the temperature value of the heating node and the temperature value of the heating medium flowing out of the end of the pipe network in two adjacent scheduling cycles; the third relationship characterizes the relationship between the heat loss of the heating medium during transmission in the pipe network and the ambient temperature; the construction unit 604 is configured to construct the first sub-model according to the first relationship, the second relationship, and the third relationship.

[0155] In an alternative embodiment, the acquisition unit 603 is further configured to acquire a second parameter, where the second parameter is a parameter characterizing the energy storage characteristics of the pipe network; the determination unit 601 is further configured to determine a fourth relationship, a fifth relationship, a sixth relationship, and a seventh relationship based on the second parameter. The fourth relationship characterizes the relationship between the energy storage capacity of the pipe network and the input heat and output heat of the pipe network; the fifth relationship characterizes the relationship between the input heat of the heat source and the supply water temperature value and return water temperature value on the heat source side; the sixth relationship characterizes the numerical relationship between the heat input to the heat user and the supply water temperature value and return water temperature value on the heat user side; the seventh relationship characterizes the relationship between the heat input to the heat user and the heat consumed by the heat user; the construction unit 604 is further configured to construct the second sub-model according to the fourth relationship, the fifth relationship, the sixth relationship, and the seventh relationship.

[0156] In an alternative embodiment, the determination unit 601 is further configured to determine a first index, a second index, a third index, a fourth index, and a fifth index. The first index characterizes the operating cost of the heat source, the second index characterizes the deviation degree between the actual temperature value and the set value of the heat user, the third index characterizes the change degree of the output heat on the heat source side between two adjacent scheduling cycles, the fourth index characterizes the change degree of the supply water temperature value on the heat user side between two adjacent scheduling cycles, and the fifth index characterizes the change degree of the return water temperature value on the heat user side between two adjacent scheduling cycles; the construction unit 604 is further configured to perform a superposition process on the first index, the second index, the third index, the fourth index, and the fifth index to obtain the objective function.

[0157] In an alternative embodiment, the first relationship is expressed as:

[0158] ∑ b∈D (τ b ·ms b ) = τ e ∑ b∈D ms b ;

[0159] The above D is the range of the above multiple nodes, the above b is the node in the above D, and the above τ b is the temperature value of the heat supply medium for the above b, and the above ms b is the mass flow rate of the heat supply medium in the above b, and the above τ e represents the above second temperature value;

[0160] The above second relationship is expressed as:

[0161]

[0162] The above Δt is the interval of the sampling time, and the above ms t ·Δt is the first medium flowing out of the end of the above pipe network within the above Δt1, and the above τ′ o is the temperature value of the above first heat supply medium without considering the heat loss, the τ(t - γ) and the τ(t - γ - 1) are respectively the temperatures of two adjacent scheduling period heat supply nodes, the R represents the mass of the second medium flowing into the above pipe network within the time of γ·Δt, the ρ is the density of the heat supply medium in the above pipe network, the A is the cross-sectional area of the above pipe network; the L is the length of the above pipe network;

[0163] The above third relationship is expressed as:

[0164] τ o = τ am +J b ·(τ′ o - τ am );

[0165] The above τ o is the actual temperature value of the temperature of the above first medium, and the above τ am is the temperature of the environment where the above pipe network is located, and the J b is the temperature drop coefficient of the above pipe network.

[0166] In an optional embodiment, the above fourth relationship is expressed as:

[0167]

[0168] The above η ESL represents the equivalent static loss rate of heat storage of the above pipe network, and the above η ESCIndicates the equivalent heat storage loss of the above pipeline network, the above η ESD Indicates the equivalent heat release loss of the above pipeline network, the above E ES (t) and the above E ES (t + 1) represent the equivalent heat storage quantity of the pipeline network in two adjacent scheduling periods;

[0169] The above fifth relationship is expressed as:

[0170] H in (t) = c·ms t ·Δt·(τ S (t) - τ R (t));

[0171] The above H in (t) is the product of the heating power of the above heat source and the scheduling period, the above c is the specific heat capacity of the above heating medium, the above ms t is the mass flow rate of the above heating medium within the scheduling period, the above τ S (t) is the temperature value on the heat source side of the above heating pipeline, the above τ R (t) is the temperature value on the heat source side of the above heat regeneration pipeline, the above heating pipeline and the above heat regeneration pipeline are included in the above pipeline network.

[0172] The above sixth relationship is expressed as:

[0173] H out (t) = c·ms t ·Δt·(τ in (t) - τ out (t));

[0174] The above H out (t) is the product of the heat consumption power of the above heat user and the above scheduling period, the above τ in (t) is the temperature value on the heat user side of the above heating pipeline, the above τ out (t) is the temperature value on the heat user side of the above heat regeneration pipeline;

[0175] The above seventh relationship is expressed as:

[0176]

[0177] The above c user is the specific heat capacity of the indoor medium on the user side, the above m user The above is the mass of the indoor medium on the user side, the ξ is the heat loss coefficient related to the building envelope of the above heat user, the above τ am is the ambient temperature where the above heat user is located.

[0178] In an alternative embodiment, the above objective function is:

[0179]

[0180] The above-mentioned C om is the operating cost per unit thermal power output of the above-mentioned heat source. The above-mentioned is the unit penalty amount for the temperature of the above-mentioned heat user deviating from the set value. The above-mentioned is the unit cost of the change in the output of the above-mentioned heat source between two adjacent scheduling cycles. The above-mentioned is the unit cost of the temperature change on the heat user side of the above-mentioned heating pipeline between two adjacent scheduling cycles. The above-mentioned Δτ in (t) is the change amount of the temperature on the heat user side of the above-mentioned heating pipeline within two adjacent scheduling cycles. The above-mentioned is the unit cost of the temperature change on the heat user side of the above-mentioned heat regeneration pipeline between two adjacent scheduling cycles. The above-mentioned Δτ out (t) is the change amount of the temperature on the heat user side of the above-mentioned heat regeneration pipeline within two adjacent scheduling cycles. The above-mentioned min represents the operator for minimizing the objective function.

[0181] It should be understood that the division of each unit in the above energy scheduling device is only a division of logical functions. In actual implementation, it can be fully or partially integrated into a physical entity, or physically separated. For example, the above units can be separately established processing elements, or can be integrated and implemented in a certain chip of the terminal. In addition, it can also be stored in the storage element of the controller in the form of program code, and the functions of the above units are called and executed by a certain processing element of the processor. In addition, the above units can be integrated together or independently implemented. Here, the processing element can be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method or the above units can be completed through the integrated logic circuit in the processor element or the instructions in software form. The processing element can be a general-purpose processor, such as a central processing unit (English: central processing unit, abbreviated as: CPU), or can also be one or more integrated circuits configured to implement the above method, such as: one or more application-specific integrated circuits (English: application-specific integrated circuit, abbreviated as: ASIC), or, one or more digital signal processors (English: digital signal processor, abbreviated as: DSP), or, one or more field-programmable gate arrays (English: field-programmable gate array, abbreviated as: FPGA), etc.

[0182] Figure 7A schematic structural diagram of an electronic device provided by an embodiment of the present application. As Figure 7 shown, the electronic device 100 includes a processor 1001, a memory 1002, and a communication interface 1003; the processor 1001, the memory 1002, and the communication interface 1003 are interconnected through a bus. The electronic device may be the scheduling device described above.

[0183] The memory 1002 includes, but is not limited to, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), or a compact disc read-only memory (CDROM). The memory 902 is used for relevant instructions and data. The communication interface 1003 is used to receive and send data, and it can implement Figure 6 the function of the acquisition unit 603 in

[0184] The processor 1001 may be one or more central processing units (CPUs). When the processor 1001 is a single CPU, the CPU may be a single-core CPU or a multi-core CPU. The steps performed by the scheduling device in the above embodiments may be based on the Figure 7 structure of the electronic device shown. Specifically, the processor 1001 can implement Figure 6 the functions of the determination unit 601 and the scheduling unit 602 in Figure 7 The electronic device in Figure 6 can also be used to implement the function of the acquisition unit 603 through input devices such as a mouse, a touch screen, and a keyboard.

[0185] The processor 1001 in the electronic device 100 is used to read the program code stored in the memory 1002 and execute the energy scheduling method in the foregoing embodiments.

[0186] In an embodiment of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, it realizes: determining a scheduling plan for an energy supply system based on a target scheduling model; the target scheduling model includes a first sub-model and a second sub-model. The first sub-model characterizes the relationship between the time-delay characteristics and loss characteristics of heat transfer in a pipe network and temperature and heat medium flow rate, and the second sub-model characterizes the relationship between the energy storage characteristics of the pipe network and temperature and heat medium flow rate. The pipe network is included in the energy supply system; scheduling the energy of the energy supply system according to the scheduling plan.

[0187] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0188] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0189] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured product including instruction means, and the instruction means realizes the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0190] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, so that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for realizing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0191] As described above, only the specific embodiments of the present invention are given, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or substitutions within the technical scope disclosed by the present invention, and these modifications or substitutions should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A method for scheduling an energy source, characterized in that, Including: Determine a first index, a second index, a third index, a fourth index, and a fifth index. The first index represents the operating cost of a heat source. The second index represents the degree of deviation between the actual temperature value and the set value of a heat user. The third index represents the degree of change in the heat output on the heat source side between two adjacent scheduling cycles. The fourth index represents the degree of change in the supply water temperature value on the heat user side between two adjacent scheduling cycles. The fifth index represents the degree of change in the return water temperature value on the heat user side between two adjacent scheduling cycles. Perform a superposition process on the first index, the second index, the third index, the fourth index, and the fifth index to obtain an objective function. Based on an objective scheduling model, determine a scheduling plan for the energy supply system. The objective scheduling model includes an objective function and constraint conditions. The objective scheduling model includes a first sub-model and a second sub-model. The first sub-model represents the relationship between the time-delay characteristics and loss characteristics of heat transfer in a pipe network and temperature and heat medium flow rate. The second sub-model represents the relationship between the energy storage characteristics of the pipe network and temperature and heat medium flow rate. The pipe network is included in the energy supply system. Schedule the energy of the energy supply system according to the scheduling plan.

2. The method according to claim 1, wherein The energy supply system includes a heat source, the pipe network, and heat users. Determining a scheduling plan for the energy supply system based on the objective scheduling model includes: Based on the objective scheduling model, determine the heat supply of the heat source in the energy supply system.

3. The method according to claim 1 or 2, characterized in that, Before determining the scheduling plan for the energy supply system based on the objective scheduling model, the method further includes: Obtain a first parameter, where the first parameter is a parameter representing the transmission characteristics of the pipe network. Based on the first parameter, determine a first relationship, a second relationship, and a third relationship. The first relationship represents the relationship between a first temperature value and a second temperature value. The first temperature value is the temperature value of the heating medium at multiple nodes in the pipe network. The second temperature value is the temperature value of the mixed medium obtained by mixing the heating media at the multiple nodes. The second relationship represents the relationship between the temperature value of a heating node and the temperature value of the heating medium flowing out of the end of the pipe network in two adjacent scheduling cycles. The third relationship represents the relationship between the heat loss amount of the heating medium during transmission in the pipe network and the ambient temperature. Construct the first sub-model according to the first relationship, the second relationship, and the third relationship.

4. The method according to claim 3, wherein Before determining the scheduling plan for the energy supply system based on the objective scheduling model, the method further includes: Obtain a second parameter, where the second parameter is a parameter representing the energy storage characteristics of the pipe network. Based on the second parameter, determine a fourth relationship, a fifth relationship, a sixth relationship, and a seventh relationship. The fourth relationship represents the relationship between the energy storage capacity of the pipe network and the input heat and output heat of the pipe network. The fifth relationship represents the relationship between the input heat of the heat source and the supply water temperature value and return water temperature value on the heat source side. The sixth relationship represents the numerical relationship between the heat input to the heat user and the supply water temperature value and return water temperature value on the heat user side. The seventh relationship represents the relationship between the heat input to the heat user and the heat consumed by the heat user. Construct the second sub-model according to the fourth relationship, the fifth relationship, the sixth relationship, and the seventh relationship.

5. The method according to claim 3, wherein The first relationship is expressed as: ； where D is the range of the multiple nodes, b is a node in D, is the temperature value of the heat supply medium for b, is the mass flow rate of the heat supply medium in b, represents the second temperature value; The second relationship is expressed as: ； The is the interval of the sampling time, and the is the first medium flowing out from the end of the pipe network within the , and the is the temperature value of the first medium without considering the heat loss, and the and the are the temperatures of two adjacent heat supply nodes in the scheduling period respectively. The R represents the mass of the second medium flowing into the pipe network within the time of , the ρ is the density of the heat supply medium in the pipe network, the A is the cross-sectional area of the pipe network; the L is the length of the pipe network; The third relationship is expressed as: ； The is the actual temperature value of the temperature of the first medium, and the is the temperature of the environment where the pipe network is located, and the is the temperature drop coefficient of the pipe network.

6. The method according to claim 4, wherein The fourth relationship is expressed as: ； The represents the equivalent static loss rate of the heat storage in the pipe network, and the represents the equivalent heat storage loss of the pipe network, and the represents the equivalent heat release loss of the pipe network, and the and the represent the equivalent heat storage quantity of the pipe network in two adjacent scheduling cycles; The fifth relationship is expressed as: ； The is the product of the heating power of the heat source and the scheduling period, and the is the specific heat capacity of the heating medium, and the is the mass flow rate of the heating medium within the scheduling period, and the is the temperature value on the heat source side of the heating pipeline, and the is the temperature value on the heat source side of the heat regeneration pipeline. The heating pipeline and the heat regeneration pipeline are included in the pipe network; The sixth relationship is expressed as: ； is the product of the heat consumption power of the heat user and the scheduling period, and the is the temperature value on the heat user side of the heat supply pipeline, and the is the temperature value on the heat user side of the heat regeneration pipeline; ​ The seventh relationship is expressed as: ； The is the specific heat capacity of the indoor medium on the user side, and the is the mass of the indoor medium on the user side, and the is the heat loss coefficient related to the building envelope of the heat user, and the is the ambient temperature where the heat user is located, and the represents the temperature on the heat user side of the heat recovery pipeline in the t-th scheduling period, and the τ user (t - 1) represents the temperature on the heat user side of the heat recovery pipeline in the (t - 1)-th scheduling period.

7. The method according to claim 1, wherein The objective function is: ； The is the operating cost of the heat source outputting unit heat power, the is the unit penalty amount for the temperature of the heat user deviating from the set value, the is the unit cost of the change in heat source output between two adjacent scheduling periods, the is the unit cost of the temperature change on the heat user side of the heat supply pipeline between two adjacent scheduling periods, the is the change amount of the temperature on the heat user side of the heat supply pipeline within two adjacent scheduling periods, the is the unit cost of the temperature change on the heat user side of the heat regeneration pipeline between two adjacent scheduling periods, the is the change amount of the temperature on the heat user side of the heat regeneration pipeline within two adjacent scheduling periods, the min represents the operator for minimizing the objective function, the represents the change value of the heat source output between the t-th scheduling period and the (t - 1)-th scheduling period, the represents the degree of deviation between the actual temperature value of the heat user and the set value.

8. A dispatching device for an energy source, characterized in that, including: A determination unit configured to determine a first index, a second index, a third index, a fourth index, and a fifth index, where the first index represents the operating cost of a heat source, the second index represents the deviation degree between the actual temperature value and the set value of a heat user, the third index represents the change degree of the output heat quantity on the heat source side between two adjacent scheduling periods, the fourth index represents the change degree of the supply water temperature value on the heat user side between two adjacent scheduling periods, and the fifth index represents the change degree of the return water temperature value on the heat user side between two adjacent scheduling periods; A construction unit configured to perform superposition processing on the first index, the second index, the third index, the fourth index, and the fifth index to obtain an objective function; The determination unit is further configured to determine a scheduling plan for the energy supply system based on the target scheduling model; The target scheduling model includes an objective function and constraint conditions. The target scheduling model includes a first sub-model and a second sub-model. The first sub-model represents the relationship between the time-delay characteristic and loss characteristic of heat transfer in the pipe network and temperature and heat medium flow rate. The second sub-model represents the relationship between the energy storage characteristic of the pipe network and temperature and heat medium flow rate. The pipe network is included in the energy supply system; A scheduling unit configured to schedule the energy of the energy supply system according to the scheduling plan.

9. An electronic device, characterized in that, including: A memory configured to store a program; A processor configured to execute the program stored in the memory. When the program is executed, the processor is configured to execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer storage medium stores a computer program, and the computer program includes program instructions. When the program instructions are executed by a processor, the processor is caused to execute the method according to any one of claims 1 to 7.

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