Unit output optimization method considering primary frequency modulation capability of thermal power generating unit

Abstract

The invention discloses a unit output optimization method considering the primary frequency modulation capability of a thermal power generating unit, and relates to the technical field of power system and thermodynamic system analysis, and the method comprises the steps: giving the start-stop state of the thermal power generating unit, setting the maximum frequency difference limit value, and inputting the thermal parameters, control parameters and structural parameters of the thermal power generating unit; acquiring power response data of the thermal power generating unit; calculating the primary frequency modulation capability of the thermal power generating unit based on the obtained power response data; constructing a system frequency response model, performing random load disturbance simulation, recording a system frequency curve, and selecting system parameters; and constructing a unit output optimization distribution model, performing unit output optimization, and outputting an optimized thermal power unit output distribution result. According to the unit output optimization method considering the primary frequency modulation capability of the thermal power generating unit, the output of the thermal power generating unit is reasonably distributed, the sum of the primary frequency modulation capability of the unit is improved, and then the system frequency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system and thermal system analysis, and specifically provides a unit output optimization method considering the primary frequency regulation ability of thermal power units. Background Art

[0002] With the construction of a new power system, the capacity ratio of new energy units such as wind power and photovoltaic power in the power grid is increasing day by day. To ensure the consumption of new energy, the load rate of thermal power units has significantly decreased and shows large intra-day fluctuations. For example, in areas with a large proportion of photovoltaic power generation, due to the peak characteristics of photovoltaic output, the intra-day load rate of thermal power units shows a "duck curve". To adapt to the fluctuations of new energy, thermal power units have generally carried out flexibility transformation. On the one hand, this enhances the peak shaving ability of thermal power units and is conducive to reducing wind and light curtailment. On the other hand, it also makes the primary frequency regulation ability of thermal power units change significantly with the working conditions, which is not conducive to system frequency safety. To ensure frequency safety, in the existing unit commitment, frequency safety constraints are mainly used as the constraints for unit start-stop optimization. However, in the unit output optimization, the impact of the working condition changes of thermal power units on frequency safety is not considered. Therefore, it is necessary to establish a unit output optimization method considering the primary frequency regulation ability of thermal power units changing with the working conditions.

[0003] Currently, in the optimization problem of unit commitment, in order to establish the inequality of system frequency safety constraints, a system frequency response model is generally used for theoretical derivation. However, most of the system frequency response models used in the research cannot reflect the impact of the working conditions of thermal power units on the model, that is, the unit model parameters do not change with the working conditions, and the system frequency safety is only affected by the start and stop of the units. As the load rate of thermal power units decreases, the impact of the working conditions of the units on their primary frequency regulation ability cannot be ignored. Therefore, in unit commitment, some research has additionally considered the primary frequency regulation ability of units changing with the working conditions. However, due to the lack of in-depth understanding of actual thermal power units, the thermal power unit models used in this kind of research cannot well reflect the true primary frequency regulation ability of the units, resulting in frequency safety risks still existing in the optimization results. Summary of the Invention

[0004] In view of the above problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing optimization method does not consider a detailed thermal power unit model and cannot reflect the true primary frequency regulation ability of thermal power units changing with the working conditions, resulting in frequency safety risks still existing in the optimization results.

[0006] To solve the above technical problems, the present invention provides the following technical solution: A unit output optimization method considering the primary frequency regulation ability of thermal power units, including: Given the start-stop state of a thermal power unit, set the maximum frequency difference limit, and input the thermal parameters, control parameters, and structural parameters of the thermal power unit; Obtain the power response data of the thermal power unit; Based on the obtained power response data, calculate the primary frequency regulation ability of the thermal power unit; Based on the primary frequency regulation ability of the unit, construct a system frequency response model, conduct a stochastic load disturbance simulation, record the system frequency curve, and select system parameters; Input the coal consumption function, load effect coefficient, system load, and maximum power disturbance of the thermal power unit, construct an optimized unit output distribution model, conduct unit output optimization, and output the optimized output distribution result of the thermal power unit.

[0007] As a preferred embodiment of the unit output optimization method considering the primary frequency regulation ability of a thermal power unit according to the present invention, wherein: the obtaining of the power response data of the thermal power unit includes a model simulation method or a field test method; The model simulation method selects multiple operating points through model simulation, inputs a frequency difference step signal of the maximum frequency difference limit, and records the power response curve of the unit under different operating conditions; The field test method conducts a primary frequency regulation test through field tests according to the selected operating points and the set maximum frequency difference limit, and records the power response curve of the unit.

[0008] As a preferred embodiment of the unit output optimization method considering the primary frequency regulation ability of a thermal power unit according to the present invention, wherein: the calculation of the primary frequency regulation ability of the thermal power unit is expressed as, , where P pfm_G(i,Pj) is the primary frequency regulation ability of unit i at P j output, f Pij is the Δf j frequency difference step power response curve of unit i at P m output, τ mk is the kth maximum frequency difference moment that satisfies the selection principle, and l is the number of moments that satisfy the selection principle.

[0009] As a preferred embodiment of the unit output optimization method considering the primary frequency regulation ability of a thermal power unit according to the present invention, wherein: the coal consumption function of the thermal power unit includes calculating the equivalent of the power generation coal consumption of the unit, and fitting the power generation coal consumption of the unit after obtaining the power generation coal consumption of the unit at multiple operating points.

[0010] As a preferred embodiment of the unit output optimization method considering the primary frequency regulation ability of a thermal power unit according to the present invention, wherein: the equivalent of the power generation coal consumption of the unit is expressed as, , Among them, B std is the coal consumption for power generation of the unit after conversion, and B des is the fuel consumption in the unit boiler manual, Q net.at is the lower calorific value of the design coal type in the unit boiler manual, and Q std is the calorific value of standard coal; The coal consumption for power generation of the fitted unit is expressed as , Among them, B std(i) is the coal consumption function of unit i, and a i , b i , c i are the fitting parameters of the equivalent coal consumption function of unit i, and P i is the output of the unit.

[0011] As a preferred scheme of the unit output optimization method considering the primary frequency regulation ability of thermal power units according to the present invention, wherein: the unit output optimization distribution model is expressed as , Among them, N is the number of units, L is the system load power, and P imin is the lower limit of the output of unit i, P imax is the upper limit of the output of unit i, P pfm_G(i,Pi) is the primary frequency regulation ability of unit i at the output of P i , and Δ P L,max is the maximum power disturbance.

[0012] As a preferred scheme of the unit output optimization method considering the primary frequency regulation ability of thermal power units according to the present invention, wherein: when the unit output optimization distribution model is successfully solved, record the solved unit output distribution; If the optimization solution fails, then with the sum of the primary frequency regulation abilities of thermal power units ∑P pfm_G(i,Pi) being the maximum as the goal, re-perform the unit output optimization distribution.

[0013] As a preferred scheme of the unit output optimization method considering the primary frequency regulation ability of thermal power units according to the present invention, wherein: the re-performing of the unit output optimization distribution is expressed as .

[0014] A computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the unit output optimization method considering the primary frequency regulation ability of thermal power units as described above are implemented.

[0015] A computer-readable storage medium stores a computer program thereon, and when the computer program is executed by a processor, the steps of the unit output optimization method considering the primary frequency regulation ability of a thermal power unit as described above are implemented.

[0016] Advantages of the present invention: The unit output optimization method considering the primary frequency regulation ability of the present invention is aimed at thermal power units with determined start-stop. By reasonably distributing the output of thermal power units, the total primary frequency regulation ability of the units is improved, thereby improving the system frequency. Since the involved unit primary frequency regulation ability function is a quantitative feature extracted based on the unit power response, the present invention is also applicable to high-order non-linear thermal power unit models and can more accurately reflect the change of the primary frequency regulation ability of thermal power units with working conditions. At present, when the load rate of thermal power units changes more and more frequently, the present invention fully considers the influence of the change of thermal power units with working conditions on their primary frequency regulation ability, which helps to improve the system primary frequency regulation ability through unit output distribution at low load rates; at high load rates, the primary frequency regulation ability of the units is fully utilized to reduce standby waste. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is the overall flowchart of a unit output optimization method considering the primary frequency regulation ability of a thermal power unit provided by an embodiment of the present invention.

[0019] Figure 2 It is the system frequency response model diagram in a unit output optimization method considering the primary frequency regulation ability of a thermal power unit provided by an embodiment of the present invention. Detailed Embodiments

[0020] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following will describe the detailed embodiments of the present invention in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention.

[0021] In the following description, many specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention may be practiced in other ways than those specifically described herein. Those skilled in the art can make similar generalizations without departing from the spirit of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0022] Embodiment 1 Referring to Figure 1 - Figure 2 , an embodiment of the present invention provides a method for optimizing the output of a unit considering the primary frequency regulation ability of a thermal power unit, including: Step 1: Given the start-stop state of the thermal power unit, set the maximum frequency deviation limit Δf m , and input the thermal parameters, control parameters, and structural parameters of the thermal power unit. This step provides the necessary parameters for the unit simulation in Step 2 and the system simulation in Steps 3 and 9.

[0023] Specifically, in the present invention, the primary frequency regulation ability of the unit is defined as follows: For a given unit, its primary frequency regulation ability P pfm_G is the power change amount ΔP m of the unit at time τ m under a frequency deviation step of Δf G . Among them, τ m is a system parameter determined by the distribution of the maximum frequency deviation moments when the system undergoes primary frequency regulation with a maximum frequency deviation of Δf m . The existing evaluation methods for the primary frequency regulation ability of units are mainly based on post-disturbance evaluations. Such a system cannot be used for optimizing the primary frequency regulation ability of the system in advance. Therefore, it is necessary to propose a quantification method for the primary frequency regulation ability applicable to independent units based on the response mechanism of system primary frequency regulation, and the quantification results can be used for system optimization. The quantification method for the primary frequency regulation ability of the unit given in the present invention combines accuracy and feasibility. It not only fully considers the system characteristics and concentrates the system influence on the selection of τ m , but also ensures that each unit can obtain the quantification results through independent tests without considering the influence of grid connection.

[0024] Step 2: To obtain the primary frequency regulation ability of the thermal power unit, two methods can be used: model simulation and on-site test. If model simulation is used, the operating point of the thermal power unit needs to be selected, and for the thermal power unit models under different operating conditions, a frequency deviation step signal of Δf m is input, and the power curve of the unit is recorded. If on-site test is used, according to the selected operating point of the thermal power unit and the set maximum frequency deviation limit Δf m , the corresponding primary frequency regulation test is carried out, and the power curve of the unit is recorded. This step provides the Δf m frequency deviation step power response curve of the unit at different outputs for Step 5.

[0025] Specifically, to obtain the primary frequency regulation ability of a thermal power unit, it is necessary to measure the power response curve of the thermal power unit under different operating conditions when there is a step input of Δf m frequency difference. This power response curve can be obtained from model simulation or from a primary frequency regulation test. This key point is a supplement to Key Point 1 and provides a specific way to obtain the primary frequency regulation ability function related to the unit and operating conditions. Among them, the way obtained from the primary frequency regulation test reflects the strong applicability of the present invention to actual engineering. Even if an accurate thermal power unit model is lacking, a corresponding unit primary frequency regulation ability function can still be established to optimize the unit output.

[0026] Step 3: Based on the given start-stop state and unit parameters of the thermal power unit, construct a system frequency response model as shown in Figure 2 , where ΔP L is the system power disturbance, ΔP D is the change in load output, ΔP G is the change in unit output, Δf is the system frequency difference, k D is the unit regulation power of the load, T s is the system inertia, and G i (s) is the thermal power unit model including the governor and prime mover.

[0027] Conduct system primary frequency regulation simulation under random load disturbances, record the system frequency curve as a sample for selecting the system parameter τ m . For an actual system, historical data of primary frequency regulation that has occurred can be used as a sample. This step provides a random load disturbance sample for Step 4.

[0028] Specifically, when constructing the system frequency response model, the thermal power unit model used should include the following modules: turbine master control, boiler model, and steam turbine model. Among them, the turbine master control should refer to the actual control system of the unit, and if there are links such as measured power feedback, they should all be retained; the boiler model is the key link reflecting the change of the unit's primary frequency regulation ability with the operating conditions, and a one-dimensional segmented heat exchanger model can be used. This key point explains the composition of the thermal power unit model used in the present invention, emphasizing that the thermal power unit model used should include three major modules: turbine master control, boiler model, and steam turbine model. This is because existing primary frequency regulation models of thermal power units rarely consider the influence of the boiler model, resulting in insufficient accuracy of simulation results. The present invention can use a complex thermal power unit model considering thermal dynamics, ensuring the simulation accuracy of the method.

[0029] Step 4: Set the selection principle of τ m , for example, the maximum frequency difference is in [-0.9Δf m , -Δf mThe frequency curve between... Record the moment of the maximum frequency difference in the sample that meets the selection principle. If there is no frequency curve that meets the selection principle, τ needs to be set manually. m This step provides a set of time series τ for Step 5. mk .

[0030] Step 5: Establish the primary frequency regulation capacity function P of the unit pfm_G(i,Pj) . The following formula can be used , where P pfm_G(i,Pj) is the primary frequency regulation capacity of unit i at the output of P j , f Pij is the Δf j frequency difference step power response curve of unit i at the output of P m , τ mk is the k-th moment of the maximum frequency difference that meets the selection principle, and l is the number of moments that meet the selection principle. This step provides the primary frequency regulation capacity function P of the unit for Steps 7 and 8 pfm_G(i,Pj) .

[0031] In an alternative embodiment of the present invention, it can also be calculated by the following formula: , Step 6: Input the coal consumption function B of the thermal power unit std(i) , the load effect coefficient k D , the system load L and the maximum power disturbance ΔP Lmax .

[0032] It should be noted that Δ P Lmax is a numerical parameter set by the user. Specifically, for a certain power grid, Δ P Lmax can be the maximum single unit capacity, the maximum power plant capacity, the maximum tie line power, the maximum DC power, etc., which is determined by the user according to the simulation requirements.

[0033] Among them, the equivalent calculation method of the unit's power generation coal consumption is as follows , where B std is the converted unit power generation coal consumption, B des is the fuel consumption in the unit boiler manual, Q net.at is the low calorific value of the design coal type in the unit boiler manual, Q std is the calorific value of standard coal, taken as 29.27 MJ / kg. After obtaining the power generation coal consumption of the unit at several operating points, the power generation coal consumption of the unit is fitted according to the following formula , Among them, B std(i) is the coal consumption function of unit i, and a i , b i , c i are the fitting parameters of the equivalent coal consumption function of unit i, and P i is the output of the unit. This step provides the unit coal consumption function B std(i) and the maximum power disturbance ΔP Lmax for step 7, provides the maximum power disturbance ΔP Lmax for step 8, and provides the load effect coefficient k D , system load L and maximum power disturbance ΔP Lmax .

[0034] The unit power generation coal consumption calculation method given by the present invention not only ensures the reliability of data sources, which is taken from the unit boiler manual, but also realizes the rapid unification of coal consumption of different units and reduces the influence of coal quality.

[0035] Step 7: With the minimum system coal consumption B sys as the goal, perform optimization distribution of unit output. The optimization model is as follows , where N is the number of units, L is the system load power, P imin is the lower limit of the output of unit i, P imax is the upper limit of the output of unit i, P pfm_G(i,Pi) is the primary frequency regulation ability of unit i at the output of P i , and Δ P L,max is the maximum power disturbance. This step provides the optimization result of unit output that satisfies the primary frequency regulation ability constraint for step 9.

[0036] Specifically, the frequency safety constraint is an important constraint for the optimization of the system's primary frequency regulation ability, which ensures that after the optimization of unit output, the maximum frequency deviation of the system does not exceed the limit. The existing frequency safety constraints are mainly based on the analytical results of the aggregation model, requiring high aggregation algorithm accuracy and low aggregation model complexity, and the final representation form is often relatively complex and needs to be further transformed into a form that can be used for optimization calculation. The frequency safety constraint proposed by the present invention is simple and intuitive, and does not limit the primary frequency regulation model of thermal power units, enabling it to retain the characteristics of high accuracy of complex unit models.

[0037] Step 8: If the optimization model is successfully solved, record the solved unit output distribution; if the optimization solution fails, then with the maximum sum of the primary frequency regulation abilities of thermal power units ∑P pfm_G(i,Pi) as the goal, re-perform optimization distribution of unit output. The optimization model is as follows , This step provides the optimization result of the maximum total primary frequency regulation capacity of the thermal power unit when step 7 has no solution for step 9.

[0038] Step 9: According to the optimized allocation result, use the system frequency response model to simulate the frequency response of the system under the maximum power disturbance ΔP Lmax of this scheme, and verify the optimization result. This step verifies the final output result of step 10.

[0039] Step 10: Output the optimization result of the thermal power unit output.

[0040] Embodiment 2 An embodiment of the present invention, which is different from the previous embodiment in that: If the described function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: USB flash drive, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other various media that can store program codes.

[0041] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch instructions from the instruction execution system, apparatus, or device and execute the instructions), or used in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

[0042] More specific examples (nonexhaustive list) of computer-readable media include the following: electrical connections (electronic devices) with one or more wirings, portable computer disk cartridges (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber devices, and portable compact disc read-only memory (CDROM). Additionally, the computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as appropriate, and then storing it in a computer memory.

[0043] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with suitable combinational logic gate circuits, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

[0044] Embodiment 3 An embodiment of the present invention provides a unit output optimization method considering the primary frequency regulation ability of thermal power units. To verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0045] For a system composed of ten thermal power units, the following two power disturbance situations are considered respectively: The first: The system load rate is 40%, and when a 115 MW load power increase occurs, the system frequency should not be lower than 49.75 Hz. The first optimization result is shown in Table 1.

[0046] Table 1 First power disturbance optimization result table , The equivalent coal consumption of the solution of the present invention is the highest but the minimum frequency is the largest; although the other solutions are more economical, their minimum frequencies exceed 49.75 Hz. Therefore, when the system load rate is low, the present invention can improve the primary frequency regulation ability of the system and ensure the system frequency safety through unit output allocation.

[0047] The second: The system load rate is 80%, and when a 155 MW load power increase occurs, the system frequency should not be lower than 49.75 Hz. The second optimization result is shown in Table 2.

[0048] Table 2 The optimization result table of the second power disturbance , The minimum frequency of the solution of the present invention is higher than that of the minimum coal consumption solution, and there is no frequency violation; the equivalent coal consumption is less than that of the existing solution. In addition, two units are added in the existing solution, further expanding the economic advantage of the solution of the present invention. Therefore, when the system has a high load factor, the present invention can give full play to the primary frequency regulation ability of the unit and reduce standby waste.

[0049] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for optimizing the unit output considering the primary frequency regulation capability of a thermal power unit, characterized in that: include: Given the start and stop status of the thermal power unit, set the maximum frequency difference limit, and input the thermal parameters, control parameters and structural parameters of the thermal power unit; Obtain power response data of thermal power units; Based on the acquired power response data, calculate the primary frequency regulation capability of the thermal power unit; Based on the primary frequency regulation capability of the unit, a system frequency response model is constructed, random load disturbance simulation is performed, the system frequency curve is recorded, and system parameters are selected; The coal consumption function, load effect coefficient, system load and maximum power disturbance of the thermal power unit are input, and the unit output optimization allocation model is constructed to optimize the unit output and output the optimized thermal power unit output allocation result.

2. The method for optimizing the unit output considering the primary frequency regulation capability of the thermal power unit according to claim 1, characterized in that: The obtaining of power response data of the thermal power unit includes a model simulation method or a field test method; The model simulation method selects multiple operating points through model simulation, inputs a frequency difference step signal of a maximum frequency difference limit value, and records the power response curve of the unit under different operating conditions; The field test method carries out a frequency modulation test through field test according to the selected operating point and the set maximum frequency difference limit, and records the power response curve of the unit.

3. The unit output optimization method considering the primary frequency regulation capability of the thermal power unit as claimed in claim 2 is characterized by: The calculation of the primary frequency regulation capability of the thermal power unit is expressed as: ， Among them, P pfm_G(i,Pj) For unit i in P j Primary frequency modulation capability at output, f Pij For unit i in P j Δf at output m Frequency difference step power response curve, τ mk is the kth maximum frequency difference moment that meets the selection principle, and l is the number of moments that meet the selection principle.

4. The method for optimizing the unit output considering the primary frequency regulation capability of the thermal power unit according to claim 3, characterized in that: The coal consumption function of the thermal power unit includes calculating the equivalent value of the coal consumption for power generation of the unit, and fitting the coal consumption for power generation of the unit after obtaining the coal consumption for power generation of the unit at multiple operating points.

5. The method for optimizing the unit output considering the primary frequency regulation capability of the thermal power unit according to claim 4, characterized in that: The equivalent value of the coal consumption for power generation of the unit is expressed as: ， Among them, B std is the converted coal consumption of the unit for power generation, B des is the fuel consumption in the boiler manual of the unit, Q net.at is the low calorific value of the designed coal type in the unit boiler manual, Q std is the calorific value of standard coal; The coal consumption of the fitted unit for power generation is expressed as: ， Among them, B std(i) is the coal consumption function of unit i, a i 、b i 、c i is the fitting parameter of the equivalent coal consumption function of unit i, P i For the output of the unit.

6. The method for optimizing the unit output considering the primary frequency regulation capability of the thermal power unit according to claim 5, characterized in that: The unit output optimization allocation model is expressed as: ， Where N is the number of units, L is the system load power, P imin is the lower limit of unit i output, P imax is the upper limit of unit i output, P pfm_G(i,Pi) For unit i in P i Primary frequency regulation capability at output, Δ P L,max is the maximum power disturbance.

7. The method for optimizing the unit output considering the primary frequency regulation capability of the thermal power unit according to claim 6, characterized in that: When the unit output optimization allocation model is successfully solved, the unit output allocation obtained by the solution is recorded; If the optimization solution fails, the total primary frequency regulation capacity of the thermal power units ∑P pfm_G(i,Pi) Taking the maximum as the goal, re-optimize the unit output distribution.

8. The method for optimizing the unit output considering the primary frequency regulation capability of the thermal power unit according to claim 7, characterized in that: The re-optimization of the unit output distribution is expressed as: 。 9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the unit output optimization method considering the primary frequency regulation capability of the thermal power unit as described in any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the unit output optimization method considering the primary frequency regulation capability of the thermal power unit according to any one of claims 1 to 8 are implemented.

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