A source-network coordination electric heating load optimal operation method and related equipment

Abstract

This invention relates to the field of combined heat and power (CHP) centralized heating technology, specifically to an optimized operation method and related equipment for source-grid coordinated electric and heat loads. The method includes constructing a multi-unit energy supply system model; setting hierarchical optimization operation strategies for the heat source and heat network sides based on the model; inputting the target electric and heat load operation requirements; and performing load allocation calculations using an optimization algorithm based on the multi-unit energy supply system model and the hierarchical optimization operation strategies to obtain preliminary optimization results; verifying whether the preliminary optimization results satisfy mass-energy conservation; if so, outputting the final optimization results, thus completing the optimized operation of the source-grid coordinated electric and heat loads. This invention improves the internal stability of the heating system during existing coordinated operation of electric and heat loads.

Description

Technical Field

[0001] This invention relates to the field of combined heat and power (CHP) technology, specifically to an optimized operation method and related equipment for source-grid coordinated electric and heat loads. Background Technology

[0002] Electric heating load demand is characterized by real-time changes, while heating units have thermoelectric coupling characteristics, making it difficult to match the electric heating load demand of heat users in real time.

[0003] To address this issue, various thermoelectric decoupling methods have emerged in existing technologies, but they still have shortcomings in practical applications. Meanwhile, urban centralized heating systems possess significant heat storage capacity and thermal inertia. Rationally utilizing this characteristic can not only reduce system upgrade investment and save costs, but also effectively increase the capacity of natural large-scale thermal storage equipment, enhance the renewable energy absorption capacity and peak-shaving and frequency regulation capabilities of combined heat and power (CHP) units, reduce wind curtailment, and improve energy efficiency. However, in the current coordinated operation of electric and thermal loads, frequent adjustments can lead to a decrease in the internal stability of the heating system, affecting heating quality and system lifespan. Summary of the Invention

[0004] In order to overcome the defects of the existing technology, the purpose of this invention is to provide an optimized operation method and related equipment for source-grid coordinated electric heating load, so as to solve the technical problem of how to improve the internal stability of the heating system during the coordinated operation of existing electric heating load.

[0005] This invention is achieved through the following technical solution: In a first aspect, the present invention provides an optimized operation method for source-grid coordinated electrothermal loads, comprising: Construct a multi-unit energy supply system model, and set hierarchical optimization operation strategies for the heat source side and the heat network side based on the multi-unit energy supply system model; Input the target electric heating load operating demand, and based on the multi-unit energy supply system model and hierarchical optimization operation strategy, complete the load allocation calculation through the optimization algorithm to obtain preliminary optimization results; Verify whether the preliminary optimization results satisfy the mass-energy conservation principle. If they do, output the final optimization results to complete the optimized operation of the source-grid coordinated electric heating load.

[0006] Preferably, the multi-unit energy supply system model includes models of different heating units, a model of a thermoelectric decoupling device adapted to the heating units, a dynamic model of the heating network side, and a model of heating network heat storage.

[0007] Preferably, the process of constructing the thermal network heat storage quantitative model includes measuring the real-time thermal network water temperature, flow rate, and outdoor temperature; calculating the thermal network water temperature constraints based on the outdoor temperature; and calculating the thermal network heat storage and heat release based on the real-time thermal network water temperature, flow rate, and water temperature constraints.

[0008] Preferably, the hierarchical optimization operation strategy on the heat source side includes calculating the operating domain of different heating units to obtain the heat load adjustment range under different electrical loads; calculating the operating domain of the heating units after adopting the thermoelectric decoupling method to obtain the corresponding heat load adjustment range; when multiple units are running, sequentially starting the thermoelectric decoupling device model of different cogeneration units, and prohibiting frequent starting or stopping of the thermoelectric decoupling device model; and determining the electric and heat load allocation scheme of different heating units by optimizing coal consumption.

[0009] Preferably, the hierarchical optimization operation strategy on the heating network side includes calculating the energy that different thermoelectric decoupling device models on the heating network side can supply, the cost consumed, and the required steam extraction volume; starting different thermoelectric decoupling device models sequentially, and prohibiting frequent starting or stopping of the thermoelectric decoupling device models; and determining the total steam extraction flow required by different heating equipment by optimizing the steam extraction volume.

[0010] Furthermore, the thermoelectric decoupling device model includes at least one of the following: heat pump, small back pressure machine, electric boiler, heat network heat storage utilization device, heating unit cylinder cutting device, and heat storage tank.

[0011] Preferably, the specific process for verifying whether the preliminary optimization results satisfy the law of conservation of mass and energy is as follows: Whether the total system input energy and total system output energy corresponding to the preliminary optimization results satisfy the mass energy conservation law; wherein, the total system input energy includes the primary energy conversion energy consumed by each heating unit and the electrical or thermal energy consumed by the thermoelectric decoupling device, and the total system output energy includes the electric heating load energy actually consumed by the user and the heat loss energy of the heating network. If the energy balance error of the preliminary optimization result is within the allowable range, then it is determined that the mass-energy conservation is satisfied, and the preliminary optimization result is directly output as the final optimization result. If the energy balance error exceeds the allowable range, the process returns to the load allocation calculation stage, and the iteration parameters or constraints of the optimization algorithm are adjusted and recalculated until an optimized result that satisfies the mass-energy conservation is obtained and then output.

[0012] Secondly, the present invention also provides an optimized operation system for source-grid coordinated electrothermal loads, comprising: The model strategy optimization processing module is used to construct a multi-unit energy supply system model and set hierarchical optimization operation strategies for the heat source side and the heat network side based on the multi-unit energy supply system model. The load calculation module is used to input the target electric heating load operating requirements, and based on the multi-unit energy supply system model and hierarchical optimization operation strategy, it completes the load allocation calculation through optimization algorithms to obtain preliminary optimization results. The verification output module verifies whether the preliminary optimization results satisfy the mass-energy conservation principle. If they do, the final optimization results are output, completing the optimized operation of the source-grid coordinated electric heating load.

[0013] Thirdly, the present invention also provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the optimized operation method of source-grid coordinated electrothermal load as described above.

[0014] Fourthly, the present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the optimized operation method for source-grid coordinated electrothermal load as described above.

[0015] Compared with the prior art, the present invention has the following beneficial technical effects: This invention provides an optimized operation method for source-grid coordinated electric heating load. Utilizing the heat storage characteristics of the heating system, and based on matching the actual electric heating load demand of users, it effectively minimizes the operating cost of the heating system while reducing the proportion of primary energy consumption, achieving a dual improvement in energy efficiency and economic benefits. During the optimized operation, the system adjustment frequency is reasonably reduced through operational judgment methods, minimizing the impact of frequent adjustments on various components of the heating system. This significantly improves the internal stability of the heating system from the operational mechanism level, ensuring the smoothness and reliability of system operation. Furthermore, by employing different thermoelectric decoupling methods, this method effectively broadens the thermoelectric operating domain of the heating unit, breaking through the operational limitations caused by the thermoelectric coupling of traditional heating units. It significantly improves the overall heating capacity of the heating unit, strengthens the adaptability and flexibility of source-grid coordinated operation, and provides reliable technical support for the efficient, stable, and economical coordinated operation of electric heating load. Attached Figure Description

[0016] Figure 1 This is a flowchart of the optimized operation method of source-grid coordinated electrothermal load in an embodiment of the present invention; Figure 2 This is a framework diagram of the optimized operation method of source-grid coordinated electrothermal load in an embodiment of the present invention; Figure 3 This is the result of the power load optimization allocation in a certain example of the source-grid coordinated power and heat load optimization operation method based on the heat storage characteristics of the heating system in the embodiments of the present invention. Figure 4 This is the heat load optimization allocation result of a certain example under the source-grid coordinated electrothermal load optimization operation method based on the heat storage characteristics of the heating system in this embodiment of the invention. Figure 5 This is a schematic diagram of the optimized operation system of source-grid coordinated electrothermal load in an embodiment of the present invention; In the diagram: 1. Model strategy optimization module; 2. Load calculation module; 3. Verification output module. Detailed Implementation

[0017] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0018] The purpose of this invention is to provide an optimized operation method and related equipment for source-grid coordinated electric heating load, so as to solve the technical problem of how to improve the internal stability of the heating system during the coordinated operation of existing electric heating loads.

[0019] The present invention will now be described in further detail with reference to the accompanying drawings: Example 1 See Figure 1 and Figure 2 In one embodiment of the present invention, an optimized operation method for source-grid coordinated electrothermal load is provided, comprising: Step 1: Construct a multi-unit energy supply system model, and set hierarchical optimization operation strategies for the heat source side and the heat network side based on the multi-unit energy supply system model; Specifically, the multi-unit energy supply system model includes models of different heating units, models of thermoelectric decoupling devices adapted to the heating units, dynamic models of the heating network side, and models of heating network heat storage.

[0020] Among them, the dynamic model of the heating network side includes the dynamic model of the heating network pipelines and the dynamic model of the heat exchange station; The pipeline dynamic model is as follows:

[0021] In the formula: for n The water flow velocity in the heating pipeline at any given time, in m / s; n =1,2,3…, N Number the time steps for temperature; i =1,2,3…, M Number the spatial step size for temperature; For time step; The spatial step size; For control body i exist n Temperature at any given time, °C The density of hot water is kg / m³ 3; A The cross-sectional area of ​​the fluid inside the pipe is m. 2 ; The specific heat of water at constant pressure is J / kg / K; R The total thermal resistance for heat transfer from inside the pipe to the surrounding environment, in kJ / s; The ambient temperature is °C.

[0022] The dynamic model of the heat exchange station is as follows:

[0023]

[0024]

[0025] In the formula: , The heat capacity of the hot and cold sides of the plate heat exchanger, in J / K; The heat transfer coefficient of the heat exchanger in the heat exchange station is expressed in W / K. Let K be the logarithmic heat transfer temperature difference of the heat exchanger.

[0026] The process of constructing the thermal network heat storage quantitative model includes measuring the real-time thermal network water temperature, flow rate, and outdoor temperature; calculating the thermal network water temperature constraints based on the outdoor temperature; and calculating the thermal network heat storage and heat release based on the real-time thermal network water temperature, flow rate, and water temperature constraints.

[0027] The hierarchical optimization operation strategy on the heat source side includes calculating the operating domains of different heating units to obtain the heat load adjustment range under different electrical loads; calculating the operating domains of the heating units after adopting a thermoelectric decoupling method to obtain the corresponding heat load adjustment range; when multiple units are running, sequentially starting the thermoelectric decoupling device models of different cogeneration units, and prohibiting frequent starting or stopping of the thermoelectric decoupling device models; and determining the electric and heat load allocation schemes of different heating units by optimizing coal consumption, such as... Figure 3 and Figure 4 As shown.

[0028] In this embodiment, the hierarchical optimization operation strategy on the heat source side specifically includes: first, calculating the basic operating domain of different heating units to obtain the heat load adjustment range corresponding to different electrical loads under the extraction steam heating mode; then, calculating the operating domain of each cogeneration unit after adopting the thermoelectric decoupling method to obtain the heat load adjustment range under the corresponding electrical load. After inputting the target electrothermal load demand, it is determined whether the thermoelectric decoupling device needs to be started: if no start is required, directly enter the load allocation optimization stage; if start is required, in the multi-unit parallel operation scenario, the thermoelectric decoupling devices adapted to different cogeneration units are activated sequentially. It is verified whether the start of the thermoelectric decoupling device is frequent: if the start is frequent, return to the device start stage and adjust the unit switching sequence or device combination; if the start is infrequent, with "optimizing coal consumption" as the goal, determine the electrothermal load allocation scheme of different heating units.

[0029] The hierarchical optimization operation strategy on the heating network side includes calculating the energy that different thermoelectric decoupling device models on the heating network side can supply, the cost consumed, and the required steam extraction volume; starting different thermoelectric decoupling device models sequentially, and prohibiting frequent starting or stopping of the thermoelectric decoupling device models; and determining the total steam extraction flow required by different heating equipment by optimizing the steam extraction volume.

[0030] In this embodiment, the hierarchical optimization operation strategy on the heating network side specifically involves calculating the heat supply, operating costs, and required steam extraction flow rate of different thermoelectric decoupling devices on the heating network side, based on a given thermoelectric decoupling method (matching the characteristics of the generating unit and the heating network side). Based on the target electrothermal load demand, the type of thermoelectric decoupling device to be activated is determined, and different devices are activated sequentially to adapt to changes in the electrothermal load. The frequency of thermoelectric decoupling device activation is verified: if activation is frequent, the process returns to the device activation stage, adjusting the activation sequence or device combination; if activation is infrequent, the load allocation scheme for different heating equipment is determined with "optimized steam extraction" as the objective, and the total steam supply flow rate of all equipment is calculated.

[0031] In this embodiment, the thermoelectric decoupling device model includes at least one of the following: heat pump, small back pressure machine, electric boiler, heat network heat storage and utilization device, heating unit cylinder cutting device, and heat storage tank.

[0032] Step 2: Input the target electric heating load operation requirements. Based on the multi-unit energy supply system model and hierarchical optimization operation strategy, the load allocation calculation is completed through the optimization algorithm to obtain preliminary optimization results. In this embodiment, the optimization algorithm can be particle swarm optimization algorithm, genetic algorithm, etc.

[0033] The specific process in this embodiment includes: Input target demand: The target electrical and heating load demand is given as the input condition for load allocation on both sides.

[0034] Collaborative optimization calculation: Combining the multi-unit energy supply system model and hierarchical strategy, particle swarm optimization algorithm, genetic algorithm, etc. are used to complete the calculation of the electric and heat load distribution of the heating units on the heat source side and the steam extraction flow distribution of the heating equipment on the heat network side, and obtain preliminary optimization results.

[0035] Flow difference verification: Calculate the difference between the supply flow rate on the heat source side and the demand flow rate on the heat network side, and determine whether the flow rate difference is zero: If the flow difference is zero, proceed to the mass-energy conservation verification stage; If the flow difference is not zero, return to the load distribution optimization stage on the heat source side / heat network side respectively, adjust the load of the heating unit or the steam extraction flow of the equipment, and recalculate until the flow difference converges to the allowable range.

[0036] Step 3: Verify whether the preliminary optimization results satisfy the mass-energy conservation principle. If they do, output the final optimization results to complete the optimized operation of the source-grid coordinated electric heating load.

[0037] The specific process for verifying whether the preliminary optimization results satisfy the law of conservation of mass and energy is as follows: Whether the total system input energy and total system output energy corresponding to the preliminary optimization results satisfy the mass energy conservation law; wherein, the total system input energy includes the primary energy conversion energy consumed by each heating unit and the electrical or thermal energy consumed by the thermoelectric decoupling device, and the total system output energy includes the electric heating load energy actually consumed by the user and the heat loss energy of the heating network. If the energy balance error of the preliminary optimization result is within the allowable range, then it is determined that the mass-energy conservation is satisfied, and the preliminary optimization result is directly output as the final optimization result. If the energy balance error exceeds the allowable range, the process returns to the load allocation calculation stage, and the iteration parameters or constraints of the optimization algorithm are adjusted and recalculated until an optimized result that satisfies the mass-energy conservation is obtained and then output.

[0038] In summary, this invention provides an optimized operation method for source-grid coordinated electrothermal load. The operation optimization is divided into two parts: source-side optimization and grid-side optimization. Based on the given basic operating modes of the heat source and grid sides, the use of thermoelectric decoupling devices and the load allocation of heat source units are determined based on load demand. This invention can minimize the operating cost of the heating system while meeting user load demands. It is simple to operate and highly feasible. This invention minimizes operating costs and reduces primary energy consumption while ensuring user electrothermal load requirements. During the optimized operation process, this invention reduces the adjustment frequency through operational judgment, improving the stability of the heating system. By utilizing different thermoelectric decoupling methods, this invention effectively increases the thermoelectric operating domain of the heating units and enhances heating capacity.

[0039] Example 2 according to Figure 5 As shown, this embodiment also provides an optimized operation system for source-grid coordinated electric heating load, including: Model strategy optimization processing module 1 is used to construct a multi-unit energy supply system model and set hierarchical optimization operation strategies for the heat source side and the heat network side based on the multi-unit energy supply system model; Load calculation module 2 is used to input the target electric heating load operation requirements, and based on the multi-unit energy supply system model and hierarchical optimization operation strategy, completes the load allocation calculation through optimization algorithm to obtain preliminary optimization results; Verification output module 3 verifies whether the preliminary optimization result satisfies the mass-energy conservation principle. If it does, it outputs the final optimization result, thus completing the optimized operation of the source-grid coordinated electric heating load.

[0040] Example 3 The present invention also provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, such as an optimized operation program for source-grid coordinated electrothermal load.

[0041] When the processor executes the computer program, it implements the above-mentioned optimized operation method for source-grid coordinated electrothermal load, for example: Construct a multi-unit energy supply system model, and set hierarchical optimization operation strategies for the heat source side and the heat network side based on the multi-unit energy supply system model; Input the target electric heating load operating demand, and based on the multi-unit energy supply system model and hierarchical optimization operation strategy, complete the load allocation calculation through the optimization algorithm to obtain preliminary optimization results; Verify whether the preliminary optimization results satisfy the mass-energy conservation principle. If they do, output the final optimization results to complete the optimized operation of the source-grid coordinated electric heating load.

[0042] Alternatively, when the processor executes the computer program, it implements the functions of each module in the above system, for example: Model strategy optimization processing module 1 is used to construct a multi-unit energy supply system model and set hierarchical optimization operation strategies for the heat source side and the heat network side based on the multi-unit energy supply system model; Load calculation module 2 is used to input the target electric heating load operation requirements, and based on the multi-unit energy supply system model and hierarchical optimization operation strategy, completes the load allocation calculation through optimization algorithm to obtain preliminary optimization results; Verification output module 3 verifies whether the preliminary optimization result satisfies the mass-energy conservation principle. If it does, it outputs the final optimization result, thus completing the optimized operation of the source-grid coordinated electric heating load.

[0043] For example, the computer program can be divided into a model strategy optimization processing module 1, a load calculation module 2, and a verification output module 3; The specific functions of each module are as follows: Model strategy optimization processing module 1 is used to construct a multi-unit energy supply system model and set hierarchical optimization operation strategies for the heat source side and the heat network side based on the multi-unit energy supply system model; Load calculation module 2 is used to input the target electric heating load operation requirements, and based on the multi-unit energy supply system model and hierarchical optimization operation strategy, completes the load allocation calculation through optimization algorithm to obtain preliminary optimization results; Verification output module 3 verifies whether the preliminary optimization result satisfies the mass-energy conservation principle. If it does, it outputs the final optimization result, thus completing the optimized operation of the source-grid coordinated electric heating load.

[0044] The mobile terminal can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. The mobile terminal may include, but is not limited to, a processor and memory.

[0045] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the mobile terminal, connecting various parts of the mobile terminal via various interfaces and lines.

[0046] The memory can be used to store the computer program and / or module. The processor implements various functions of the mobile terminal by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory.

[0047] The memory may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function (such as sound playback, image playback, etc.); the data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). Furthermore, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, SmartMediaCards (SMC), Secure Digital (SD) cards, FlashCards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0048] Example 4 The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the optimized operation method of source-grid coordinated electrothermal load.

[0049] If the modules / units integrated in the mobile terminal are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.

[0050] Based on this understanding, all or part of the processes in the above method can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the above-described aggregated reinforcement learning resource scheduling method. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate form.

[0051] The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0052] It should be noted that the content contained in the computer-readable medium may be appropriately added to or subtracted from the content as required by the legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium may not include electrical carrier signals and telecommunication signals.

[0053] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An optimized operation method for source-grid coordinated electric heating load, characterized in that, include: Construct a multi-unit energy supply system model, and set hierarchical optimization operation strategies for the heat source side and the heat network side based on the multi-unit energy supply system model; Input the target electric heating load operating demand, and based on the multi-unit energy supply system model and hierarchical optimization operation strategy, complete the load allocation calculation through the optimization algorithm to obtain preliminary optimization results; Verify whether the preliminary optimization results satisfy the mass-energy conservation principle. If they do, output the final optimization results to complete the optimized operation of the source-grid coordinated electric heating load.

2. The optimized operation method of source-grid coordinated electric heating load according to claim 1, characterized in that, The multi-unit energy supply system model includes models of different heating units, a model of a thermoelectric decoupling device adapted to the heating units, a dynamic model of the heating network side, and a model of heating network heat storage.

3. The optimized operation method of source-grid coordinated electric heating load according to claim 1, characterized in that, The process of constructing the thermal network heat storage quantitative model includes measuring the real-time thermal network water temperature, flow rate, and outdoor temperature; calculating the thermal network water temperature constraints based on the outdoor temperature; and calculating the thermal network heat storage and heat release based on the real-time thermal network water temperature, flow rate, and water temperature constraints.

4. The optimized operation method of source-grid coordinated electric heating load according to claim 1, characterized in that, The hierarchical optimization operation strategy on the heat source side includes calculating the operating domain of different heating units to obtain the heat load adjustment range under different electrical loads; calculating the operating domain of the heating units after adopting the thermoelectric decoupling method to obtain the corresponding heat load adjustment range; when multiple units are running, sequentially starting the thermoelectric decoupling device model of different cogeneration units, and prohibiting frequent starting or stopping of the thermoelectric decoupling device model; and determining the electric and heat load allocation scheme of different heating units by optimizing coal consumption.

5. The optimized operation method of source-grid coordinated electric heating load according to claim 1, characterized in that, The hierarchical optimization operation strategy on the heating network side includes calculating the energy that different thermoelectric decoupling device models on the heating network side can supply, the cost consumed, and the required steam extraction volume; starting different thermoelectric decoupling device models sequentially, and prohibiting frequent starting or stopping of the thermoelectric decoupling device models; and determining the total steam extraction flow required by different heating equipment by optimizing the steam extraction volume.

6. The optimized operation method of a source-grid coordinated electrothermal load according to claim 2, 4, or 5, characterized in that, The thermoelectric decoupling device model includes at least one of the following: heat pump, small back pressure machine, electric boiler, heat network heat storage and utilization device, heating unit cylinder cutting device, and heat storage tank.

7. The optimized operation method of source-grid coordinated electric heating load according to claim 1, characterized in that, The specific process for verifying whether the preliminary optimization results satisfy the law of conservation of mass and energy is as follows: Whether the total system input energy and total system output energy corresponding to the preliminary optimization results satisfy the mass energy conservation law; wherein, the total system input energy includes the primary energy conversion energy consumed by each heating unit and the electrical or thermal energy consumed by the thermoelectric decoupling device, and the total system output energy includes the electric heating load energy actually consumed by the user and the heat loss energy of the heating network. If the energy balance error of the preliminary optimization result is within the allowable range, then it is determined that the mass-energy conservation is satisfied, and the preliminary optimization result is directly output as the final optimization result. If the energy balance error exceeds the allowable range, the process returns to the load allocation calculation stage, and the iteration parameters or constraints of the optimization algorithm are adjusted and recalculated until an optimized result that satisfies the mass-energy conservation is obtained and then output.

8. An optimized operation system for source-grid coordinated electric heating load, characterized in that, include: The model strategy optimization processing module is used to construct a multi-unit energy supply system model and set hierarchical optimization operation strategies for the heat source side and the heat network side based on the multi-unit energy supply system model. The load calculation module is used to input the target electric heating load operating requirements, and based on the multi-unit energy supply system model and hierarchical optimization operation strategy, it completes the load allocation calculation through optimization algorithms to obtain preliminary optimization results. The verification output module verifies whether the preliminary optimization results satisfy the mass-energy conservation principle. If they do, the final optimization results are output, completing the optimized operation of the source-grid coordinated electric heating load.

9. A mobile terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the optimized operation method of source-grid coordinated electrothermal load as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the optimized operation method of source-grid coordinated electrothermal load as described in any one of claims 1-7.

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