Optimization method and system for deep peak regulation of auxiliary industrial heat supply unit of electrode boiler

Abstract

The invention discloses an optimization method and system for deep peak regulation of an electrode boiler assisted industrial heat supply unit, and belongs to the technical field of industrial heat supply deep peak regulation optimization. The method comprises the following steps: obtaining unit thermoelectric coupling characteristics and electrode boiler thermoelectric characteristics according to quantitative data of influences of heat supply quantity changes of a plurality of units on the output power of a steam turbine generator and electric quantity consumed by an electrode boiler and an electric heating superheater for generating each ton of heat supply steam; according to the minimum electric load under the current heat supply amount of the unit and the deep peak regulation target load, the initial peak regulation electric quantity needing to be consumed by electrode boiler auxiliary peak regulation is obtained; and power regulation and control of the electrode boiler are optimized based on the initial peak regulation electric quantity needing to be consumed by electrode boiler auxiliary peak regulation, the thermoelectric coupling characteristic of the unit and the thermoelectric characteristic of the electrode boiler. The power regulation and control of the electrode boiler can be optimized, and meanwhile, the industrial heat supply requirement and the peak regulation electric quantity consumption requirement are met.

Description

Technical Field

[0001] The present invention relates to the technical field of deep peak regulation optimization of industrial heating, and in particular to an optimization method and system for deep peak regulation of an electrode boiler-assisted industrial heating unit. Background Art

[0002] In recent years, the installed capacity of new energy sources such as wind power and photovoltaic power has continued to increase, the operating characteristics of the power grid have undergone major changes, and the contradiction of peak regulation has become increasingly prominent. The positioning of coal-fired units in the system will gradually change from electric quantity-based power sources to electric quantity and power regulation-based power sources. The load rate or output coefficient of the units will show a downward trend, and they will participate more in system regulation. Industrial heating coal-fired units are also actively participating in deep peak regulation on the basis of ensuring heating by implementing flexible heating transformation, etc. Among the various flexible industrial heating transformation technologies, electrode boilers have the advantages of simple system, direct decoupling in the event of a fault, small modification of the original system, and strong thermoelectric decoupling capabilities. They have become an effective means for auxiliary heating units to participate in deep peak regulation.

[0003] The way that electrode boilers assist coal-fired units in participating in peak load regulation is to convert the electricity used for peak load regulation into thermal energy and release it to the heat network. Unlike heating, the heat users of industrial heating demand steam at a specific pressure and temperature. Electrode boilers heat condensate or feed water through electrodes to produce saturated steam. Electric heating superheaters need to be installed to further heat the saturated steam to a superheated state, generating superheated steam under the heating parameters required by heat users. After being sent to the steam cylinders in the factory through thermal pipelines, heat is then supplied to the outside.

[0004] However, there is a problem when electrode boilers assist industrial heating coal-fired units in participating in deep peak regulation. Under the condition of a certain external industrial steam supply, the electrode boiler consumes the peak-shaving electricity to generate heating steam, which will squeeze out the unit's main steam extraction heat supply; under low-load operating conditions where the main steam flow is limited by the minimum steam inlet, changes in the unit's steam extraction heat supply will affect the unit's power generation; under certain conditions of the unit's electrical load, it will affect the electrode boiler's consumption of peak-shaving electricity. Therefore, when electrode boilers assist industrial heating coal-fired units in participating in deep peak regulation, it is impossible to simultaneously meet the industrial heating needs and peak-shaving electricity consumption electrode boiler power regulation optimization problem. Summary of the invention

[0005] Aiming at the problem of electrode boiler power regulation optimization in the prior art that when electrode boilers assist industrial heating coal-fired units to participate in deep peak regulation, it is impossible to simultaneously meet industrial heating demand and peak-shaving power consumption. The present invention provides an optimization method for deep peak regulation of electrode boiler-assisted industrial heating units, which can simultaneously meet industrial heating demand and peak-shaving power consumption requirements while optimizing the power regulation of electrode boilers.

[0006] In order to achieve the above object, the present invention provides the following technical solutions.

[0007] In a first aspect, the present invention provides an optimization method for deep peak regulation of an electrode boiler-assisted industrial heating unit, comprising: Based on the quantitative data of the impact of the change in heating capacity of several units on the output power of the steam turbine generator, and the power consumption of the electrode boiler and the electric heating superheater for each ton of heating steam produced, the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler are obtained; According to the minimum electric load and deep peak load under the current heating supply of the unit, the initial peak load that needs to be consumed by the electrode boiler auxiliary peak load is obtained; Based on the initial peak-shaving electricity that needs to be consumed by the electrode boiler auxiliary peak-shaving, as well as the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler, the power regulation of the electrode boiler is optimized.

[0008] As a further improvement of the present invention, the quantitative data of the influence of the change of the heat supply of the several units on the output power of the steam turbine generator includes: Under the annual average heat supply, the unit operates at the rated load range of ±5%, ±10% or ±20% of the minimum electrical load, and obtains quantitative data on the impact of changes in external heat supply on the output power of the steam turbine generator through on-site performance tests or simulation calculations; Under the annual average heating supply, in the rated load range of ±5%, ±10% or ±20% of the minimum electrical load of the unit, through on-site performance tests or simulation calculations, quantitative data on the impact of changes in average heating supply during the day and at night on the output power of the steam turbine generator under two different heat load demands in winter and other seasons are obtained.

[0009] As a further improvement of the present invention, the thermoelectric coupling characteristic data of the industrial heating coal-fired unit under low load is obtained based on the quantitative data of the impact of the heating capacity changes of several units on the output power of the steam turbine generator.

[0010] As a further improvement of the present invention, the electrode boiler and the electric heating superheater need to consume electricity to generate one ton of heating steam, including: Based on the power of the electrode boiler and the electric heating superheater, the water inlet pressure and temperature of the electrode boiler, the steam pressure and temperature of the electric heating superheater outlet, and the thermal efficiency of the electrode boiler and the electric heating superheater, determine the amount of electricity consumed by the electrode boiler and the electric heating superheater to produce one ton of heating steam.

[0011] As a further improvement of the present invention, the power regulation of the electrode boiler is optimized based on the initial peak-shaving power that needs to be consumed by the electrode boiler auxiliary peak-shaving, the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler, including: The initial peak-shaving power P0 that needs to be consumed by the electrode boiler auxiliary peak-shaving is obtained based on the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler. The total power P of the electrode boiler and the electric heating superheater is obtained. c , the power regulation of the electrode boiler is optimized based on the initial peak-shaving power P0.

[0012] As a further improvement of the present invention, the total power P of the final electrode boiler and the electric heating superheater c ,include: P c =P0+ΔP1+ΔP2+ΔP3+…=P0+ΣΔP i Where Pc is the total power of the electrode boiler and the electric heating superheater; P0 is the initial total power of the electrode boiler and the electric heating superheater; ΔP i is the power that will increase the output power of the steam turbine generator due to the reduction of the unit's own steam extraction heat supply, and is also equal to the additional peak-shaving power that needs to be consumed by the electrode boiler and the electric heating superheater, where i=1,2,3…n, ΔP1=P0×k te / K te , ΔP2=P1×k te / K te …ΔP n =P n-1 ×k te / K te .

[0013] In a second aspect, the present invention provides an optimization system for deep peak regulation of an electrode boiler-assisted industrial heating unit, comprising: Data acquisition module: used to obtain the unit thermoelectric coupling characteristics and electrode boiler thermoelectric characteristics based on the quantitative data of the impact of the change in the heating supply of several units on the output power of the steam turbine generator, and the power consumption of the electrode boiler and the electric heating superheater to produce one ton of heating steam; Peak load module: used to obtain the initial peak load required for electrode boiler auxiliary peak load regulation according to the minimum electric load and deep peak load regulation target load under the current heating supply of the unit; Optimizing power module: It is used to optimize the power regulation of the electrode boiler based on the initial peak-shaving power that needs to be consumed by the electrode boiler auxiliary peak-shaving, as well as the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler.

[0014] In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for optimizing deep peak regulation of an electrode boiler assisted industrial heating unit when executing the computer program.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the optimization method for deep peak regulation of an electrode boiler-assisted industrial heating unit.

[0016] In a fifth aspect, the present invention provides a computer program product, characterized in that it includes computer instructions, which, when executed by a processor, implement the steps of the optimization method for deep peak regulation of an electrode boiler assisted industrial heating unit.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The present invention obtains the total power of the electrode boiler and the electric heating superheater through iterative calculation according to the minimum electric load and the deep peak load target load under the current heating supply of the unit. Based on the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler, the power regulation of the electrode boiler and the electric heating superheater is optimized to ensure that the power regulation of the electrode boiler not only meets the stable demand of industrial heating, but also effectively participates in the deep peak regulation of the power grid. In terms of optimizing the power regulation of the electrode boiler, an intelligent regulation strategy is adopted to dynamically adjust the heating power of the electrode boiler according to the real-time heating load and the peak regulation instruction of the power grid. By adjusting the voltage, current or resistance, the power of the electrode boiler is precisely controlled to ensure that it can operate efficiently and stably under different working conditions. Finally, through this series of optimization measures, not only the power regulation problem faced by the electrode boiler when assisting the industrial heating coal-fired unit to participate in the deep peak regulation is solved, but also the dual goals of industrial heating and power grid peak regulation are achieved. This solution not only improves the operating flexibility of the coal-fired unit, but also helps to promote the consumption of clean energy and promote the optimization and upgrading of the energy structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are for illustrative purposes only and are not intended to limit the scope of the present disclosure in any way. In the drawings: Figure 1 It is a flow chart of an optimization method for deep peak regulation of an electrode boiler-assisted industrial heating unit according to the present invention; Figure 2 It is a structural schematic diagram of an optimization system for deep peak regulation of an electrode boiler-assisted industrial heating unit according to the present invention; Figure 3 The present invention is a schematic diagram of an electronic device for optimizing a method for deep peak regulation of an electrode boiler-assisted industrial heating unit. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. The described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present invention.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0021] The present invention aims to solve the problem of electrode boiler power control optimization in the prior art that when electrode boilers assist industrial heating coal-fired units to participate in deep peak regulation, it is impossible to simultaneously meet industrial heating demand and peak power consumption. The present invention provides an optimization method for deep peak regulation of electrode boiler-assisted industrial heating units, such as Figure 1 As shown, the method includes: S101: Based on the quantitative data of the impact of the change in the heating amount of several units on the output power of the steam turbine generator, and the power consumption of the electrode boiler and the electric heating superheater for each ton of heating steam produced, the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler are obtained; S201: according to the minimum electric load under the current heating supply of the unit and the deep peak-shaving target load, the initial peak-shaving power required to be consumed by the electrode boiler auxiliary peak-shaving is obtained; S301: Optimize the power regulation of the electrode boiler based on the initial peak-shaving power that needs to be consumed by the electrode boiler auxiliary peak-shaving, as well as the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler.

[0022] The present invention can optimize the power regulation of electrode boilers and meet the industrial heating demand and peak power consumption requirements at the same time.

[0023] The present invention is further explained below.

[0024] The specific steps are as follows: S1: Obtain the typical heating supply of a single unit, analyze the annual average heating supply of a single unit, and the average heating supply during the day and at night (divided into two categories: winter and other three seasons) as the representative point of the external heating supply of a single unit.

[0025] By analyzing the historical operating data of the unit's electrical load and thermal load in recent years, the minimum operating electrical load of the unit under each external heat supply is determined, which is the starting point for the electrode boiler-assisted industrial heating coal-fired units to participate in deep peak regulation.

[0026] S2: Under the annual average heat supply, the unit operates within the rated load range of ±5% (or ±10%, ±20%) of the minimum electrical load. Through on-site performance test or EBSILON software simulation calculation, the quantitative data of the impact of external heat supply changes on the output power of the steam turbine generator are obtained, that is, the thermoelectric coupling characteristic data of the industrial heating coal-fired unit under low load. .

[0027] Through on-site performance tests or EBSILON software simulation calculations, the quantitative data on the impact of heat supply changes on the output power of the steam turbine generator are obtained under two different heat load demands in winter and other seasons, and the rated load range of ±5% (or ±10%, ±20%) of the unit's minimum electric load under the average heat supply during the day and at night.

[0028] S3: According to the power of electrode boiler and electric heating superheater, the water pressure and temperature of electrode boiler, the steam pressure and temperature of electric heating superheater outlet, the thermal efficiency of electrode boiler and electric heating superheater, determine the power consumption per ton of heating steam (i.e. the thermoelectric coupling characteristic data of industrial heating coal-fired units under low load). ), determine the minimum and maximum power regulation ranges of electrode boilers and electric heating superheaters, that is, the minimum and maximum power consumption when participating in deep peak regulation.

[0029] S4: Thermoelectric coupling characteristic data of industrial heating coal-fired units under low load obtained based on S2 , based on the thermoelectric characteristics of electrode boiler and electric heating superheater obtained by S3 .

[0030] According to the minimum electric load under the current heating supply of the unit and the deep peak-shaving target load, the initial peak-shaving power that needs to be consumed by the electrode boiler auxiliary peak-shaving is obtained, that is, the initial total power P0 / MW of the electrode boiler and the electric heating superheater.

[0031] The initial total power of the electrode boiler and the electric heating superheater is P0 / MW. Based on the thermal efficiency of the electrode boiler of 99%, the condensate or feed water is heated to generate heating steam (flow rate is Q h / t / h). Under the condition of a certain external heating steam flow rate (heat user demand), the unit's own steam extraction heat supply will reduce Q h / t / h, because the main steam flow is limited by the minimum steam inlet, the reduction of the unit's own steam extraction heat supply will cause the turbine generator output power to increase by ΔP1 / MW, that is, the peak-shaving power that the electrode boiler needs to absorb for auxiliary peak-shaving becomes (P0+ΔP1) MW, and the total power of the electrode boiler and the electric heating superheater increases to (P0+ΔP1) MW. This cycle repeats, and the final total power of the electrode boiler and the electric heating superheater is Pc: P c =P0+ΔP1+ΔP2+ΔP3+…=P0+ΣΔP i Where Pc is the total power of the electrode boiler and the electric heating superheater; P0 is the initial total power of the electrode boiler and the electric heating superheater; ΔP i is the power that will increase the output power of the steam turbine generator due to the reduction of the unit's own steam extraction heat supply, and is also equal to the additional peak-shaving power that needs to be consumed by the electrode boiler and the electric heating superheater, where i=1,2,3…n, ΔP1=P0×k te / K te , ΔP2=P1×k te / K te …ΔP n =P n-1 ×k te / K te .

[0032] Then the above P c The calculation formula can be converted to: P c =P0×(1+Σ(k te / K te ) i ) When P i ≤0.01MW, at this time P c Can be used as the total power of the final electrode boiler and the electrically heated superheater.

[0033] S5: Through the calculation formula of S4, the total power P of the electrode boiler and the electric heating superheater can be obtained according to the initial peak-shaving power that needs to be consumed by the electrode boiler auxiliary peak-shaving. c Under the conditions of the unit's electrical load and thermal load settings, the target state of the electrode boiler-assisted industrial heating coal-fired unit participating in deep peak regulation is determined in one step, and it is quickly read and accurately adjusted in place, while absorbing the peak-shaving electricity, ensuring that the steam demand of heat users is not affected.

[0034] The present invention is further explained below in conjunction with specific embodiments.

[0035] Example A 330MW subcritical condensing steam turbine uses medium-pressure extraction to supply heat to the outside, with an annual average heat supply of 130t / h. Limited by the minimum steam inlet limit and the middle exhaust temperature, the minimum main steam flow of the unit under the annual average heat supply condition is 690t / h and the minimum generator output power is 200MW, that is, the minimum electrical load of the unit under the annual average heating condition is 60.6% of the rated load. Electrode boilers and electric heating superheaters are used to assist the unit in deep peak regulation, with the target peak load being 50% of the rated load. The initial total power of the electrode boiler and the electric heating superheater is 35MW. The electrode boiler and the electric heating superheater need to consume 684.9kW / (t / h) of electricity to heat the condensate to heating steam. The change in the medium-pressure extraction flow of the unit under the annual average heating flow and the minimum electrical load condition has an impact of 266.7kW / (t / h) on the output power of the turbine generator. While absorbing 10% of the rated load peak-shaving electricity, the steam demand of heat users is ensured not to be affected. The total power of the electrode boiler and the electric heating superheater is 57.24MW. The above is the power control method for the electrode boiler-assisted industrial heating coal-fired unit to participate in deep peak-shaving under the annual average heating condition. By statistically analyzing the distribution data of external heat supply throughout the year and analyzing the thermoelectric coupling characteristics of the unit under different external heat supply and minimum electrical load conditions, a more complete power control database for electrode boilers and electric heating superheaters is obtained.

[0036] The second object of the present invention is to propose an optimization system for deep peak regulation of electrode boiler-assisted industrial heating units, such as Figure 2 As shown, including: Data acquisition module 102: used to obtain the unit thermoelectric coupling characteristics and the electrode boiler thermoelectric characteristics according to the quantitative data of the impact of the change in the heating amount of several units on the output power of the steam turbine generator, and the power consumption of the electrode boiler and the electric heating superheater for each ton of heating steam produced; Peak load module 202: used to obtain the initial peak load that needs to be consumed by the electrode boiler auxiliary peak load according to the minimum electric load under the current heating supply of the unit and the deep peak load; The power optimization module 302 is used to optimize the power regulation of the electrode boiler based on the initial peak-shaving power that needs to be absorbed by the electrode boiler auxiliary peak-shaving, as well as the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler.

[0037] like Figure 3 As shown, the third object of the present invention is to provide an electronic device, the electronic device comprising: a processor 501, a memory 502 and a display screen 503. Among them, the memory 502 and the display screen 503 are connected to the processor 501, such as through a bus 504. Optionally, the electronic device may also include a transceiver 505. It should be noted that in actual applications, the transceiver 505 is not limited to one, and the structure of the electronic device does not constitute a limitation on the embodiments of the present application.

[0038] Processor 501 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 501 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0039] The bus 504 may include a path to transmit information between the above components. The bus 504 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 504 may be divided into an address bus, a data bus, a control bus, etc.

[0040] The memory 502 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0041] The memory 502 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the application code stored in the memory 502 to implement the contents shown in the above method embodiment.

[0042] Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0043] The fourth object of the present invention is to provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program is stored thereon, and when the program is executed by a processor, the aforementioned Figure 1 The various processes of the method embodiment shown in the figure include, for example, a memory including instructions, and the instructions can be executed by a processor of an electronic device to complete the method.

[0044] A computer-readable storage medium may be a tangible device that holds and stores instructions used by an instruction execution device. A computer-readable storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, a computer-readable storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a lectern random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical encoding device, and any combination thereof.

[0045] A fifth object of the present invention is to provide a computer program product, comprising computer instructions, which, when executed by a processor, implement the above Figure 1 The various processes of the method embodiment shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0046] Many embodiments and many applications beyond the examples provided will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of the present teachings should not be determined with reference to the above description, but rather with reference to the preceding claims and the full scope of equivalents to which such claims are entitled. For the purpose of comprehensiveness, all articles and references, including disclosures of patent applications and publications, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein in the preceding claims is not intended to be a disclaimer of such subject matter, nor should it be considered that the applicants did not consider such subject matter to be part of the disclosed inventive subject matter.

[0047] The above content is a further detailed description of the present invention. It cannot be determined that the specific implementation methods of the present invention are limited to these. For ordinary technicians in the technical field to which the present invention belongs, without departing from the concept of the present invention, they can also make several simple deductions or substitutions, which should be regarded as belonging to the protection scope of the present invention determined by the submitted claims.

Claims

1. An optimization method for deep peak regulation of electrode boiler-assisted industrial heating units, characterized in that: include: Based on the quantitative data of the impact of the change in heating capacity of several units on the output power of the steam turbine generator, and the power consumption of the electrode boiler and the electric heating superheater for each ton of heating steam produced, the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler are obtained; According to the minimum electric load and deep peak load under the current heating supply of the unit, the initial peak load that needs to be consumed by the electrode boiler auxiliary peak load is obtained; Based on the initial peak-shaving electricity that needs to be consumed by the electrode boiler auxiliary peak-shaving, as well as the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler, the power regulation of the electrode boiler is optimized.

2. The optimization method for deep peak regulation of an electrode boiler-assisted industrial heating unit according to claim 1 is characterized in that: The quantitative data on the impact of the changes in the heat supply of the several units on the output power of the steam turbine generator include: Under the annual average heat supply, the unit operates at the rated load range of ±5%, ±10% or ±20% of the minimum electrical load, and obtains quantitative data on the impact of changes in external heat supply on the output power of the steam turbine generator through on-site performance tests or simulation calculations; Under the annual average heating supply, in the rated load range of ±5%, ±10% or ±20% of the minimum electrical load of the unit, through on-site performance tests or simulation calculations, quantitative data on the impact of changes in average heating supply during the day and at night on the output power of the steam turbine generator under two different heat load demands in winter and other seasons are obtained.

3. The optimization method for deep peak regulation of an electrode boiler-assisted industrial heating unit according to claim 1 is characterized in that: The thermoelectric coupling characteristic data of the industrial heating coal-fired unit under low load is obtained based on the quantitative data of the impact of the change in the heating supply of several units on the output power of the steam turbine generator.

4. The optimization method for deep peak regulation of an electrode boiler-assisted industrial heating unit according to claim 1 is characterized in that: The electrode boiler and the electric heating superheater consume electricity for each ton of heating steam produced, including: Based on the power of the electrode boiler and the electric heating superheater, the water inlet pressure and temperature of the electrode boiler, the steam pressure and temperature of the electric heating superheater outlet, and the thermal efficiency of the electrode boiler and the electric heating superheater, determine the amount of electricity consumed by the electrode boiler and the electric heating superheater to produce one ton of heating steam.

5. The optimization method for deep peak regulation of an electrode boiler-assisted industrial heating unit according to claim 1 is characterized in that: The power regulation of the electrode boiler is optimized based on the initial peak-shaving power that needs to be consumed by the electrode boiler auxiliary peak-shaving, the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler, including: The initial peak-shaving power P0 that needs to be consumed by the electrode boiler auxiliary peak-shaving is obtained based on the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler. The total power P of the electrode boiler and the electric heating superheater is obtained. c , the power regulation of the electrode boiler is optimized based on the initial peak-shaving power P0.

6. The optimization method for deep peak regulation of an electrode boiler-assisted industrial heating unit according to claim 5 is characterized in that: The total power P of the final electrode boiler and the electric heating superheater c ,include: P c =P0+ΔP1+ΔP2+ΔP3+…=P0+ΔP i Where Pc is the total power of the electrode boiler and the electric heating superheater; P0 is the initial total power of the electrode boiler and the electric heating superheater; ΔP i is the power that will increase the output power of the steam turbine generator due to the reduction of the unit's own steam extraction heat supply, and is also equal to the additional peak-shaving power that needs to be consumed by the electrode boiler and the electric heating superheater, where i=1,2,3…n, ΔP1=P0×k te / K te , ΔP2=P1×k te / K te …ΔP n =P n-1 ×k te / K te .

7. An optimization system for deep peak regulation of electrode boiler-assisted industrial heating units, characterized in that: include: Data acquisition module: used to obtain the unit thermoelectric coupling characteristics and electrode boiler thermoelectric characteristics based on the quantitative data of the impact of the change in the heating supply of several units on the output power of the steam turbine generator, and the power consumption of the electrode boiler and the electric heating superheater to produce one ton of heating steam; Peak load module: used to obtain the initial peak load required for electrode boiler auxiliary peak load regulation according to the minimum electric load and deep peak load regulation target load under the current heating supply of the unit; Optimizing power module: It is used to optimize the power regulation of the electrode boiler based on the initial peak-shaving power that needs to be consumed by the electrode boiler auxiliary peak-shaving, as well as the thermoelectric coupling characteristics of the unit and the thermoelectric characteristics of the electrode boiler.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for optimizing deep peak regulation of an electrode boiler assisted industrial heating unit as described in any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for optimizing deep peak regulation of an electrode boiler assisted industrial heating unit as described in any one of claims 1 to 6.

10. A computer program product, characterized in that It includes computer instructions, which, when executed by a processor, implement the steps of an optimization method for deep peak regulation of an electrode boiler assisted industrial heating unit as described in any one of claims 1 to 6.

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