Scheduling method and system of thermal power generating unit

Abstract

The invention discloses a thermal power generating unit scheduling method and system, and relates to the technical field of power supply machine distribution control, and the method comprises the steps: obtaining an operation parameter set of a thermal power generating unit; determining a scheduling target based on the operation parameter set, then establishing a scheduling model, and adding at least one constraint factor in the scheduling model so as to obtain an optimal scheduling strategy of the scheduling target when solving the scheduling model; and correcting the optimal scheduling strategy and scheduling the thermal power generating unit. According to the method, after the scheduling model is established, solving is carried out by taking the minimum sum of the total coal consumption and the longest power change time of the thermal power generating unit as a target, the obtained scheduling strategy can simultaneously ensure that the influence of the coal consumption and the influence of the applied scheduling strategy on the total power supply power are in a low level, and stable operation of thermal power generation is powerfully guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply machine distribution control, in particular to a scheduling method and system for a thermal power unit. Background Art

[0002] Thermal power generation is the most traditional and currently the lowest-cost form of power supply. During the power supply process, the heat generated by coal combustion heats the water in the boiler, and the water vapor drives the turbine to rotate, which in turn drives the power generator to work and supply power. Since thermal power generation requires the emission of a large amount of air pollutants, reducing coal consumption while ensuring power supply is an effective means to reduce power supply costs and reduce environmental pollution.

[0003] Reducing coal consumption is mainly achieved by improving coal quality and improving the power supply efficiency of the unit. For a single thermal power unit, control is relatively easy, but when the number of thermal power units increases, overall coordination is required to dispatch each thermal power unit with the goal of minimizing the total coal consumption. For example, the prior art discloses a dispatching method and system for thermal power units, which forms a dispatching instruction for controlling each thermal power unit with the goal of minimizing coal consumption.

[0004] However, the existing technology only considers the total coal consumption. When the dispatching instructions formed based on this target are executed, the power supply of a single thermal power unit may change significantly. Since the power supply affects the stability of the overall power supply, only considering the total coal consumption will have an adverse effect on the stability of the power supply. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is: how to solve the problem in the prior art that only considering the total coal consumption will have an adverse effect on the stability of the power supply?

[0007] To solve the above technical problems, the present invention provides the following technical solutions: a scheduling method for a thermal power unit, comprising: obtaining an operating parameter set of the thermal power unit; establishing a scheduling model after determining a scheduling target based on the operating parameter set, adding at least one constraint factor to the scheduling model to obtain an optimal scheduling strategy for the scheduling target when solving the scheduling model; correcting the optimal scheduling strategy and scheduling the thermal power unit.

[0008] As a preferred scheme of the scheduling method of the thermal power units described in the present invention, wherein: the operating parameter set includes coal consumption data and power supply power; the obtaining of the operating parameter set of the thermal power units includes the following steps: installing a device for collecting coal consumption data and power supply power on each thermal power unit; preprocessing and storing the coal consumption data and power supply power; the preprocessing includes data elimination, data interpolation and data correction.

[0009] As a preferred scheme of the scheduling method of the thermal power unit described in the present invention, based on the stored coal consumption data and power supply power, the least squares method is used to fit the function curve between the coal consumption data and the power supply power data, and then the coal consumption-power supply power model in the form of a function curve expression is obtained.

[0010] As a preferred scheme of the scheduling method of the thermal power units described in the present invention, wherein: based on the stored coal consumption data and power supply power, the total power supply power requirement is obtained, and a power climbing model of each thermal power unit is constructed; the total power supply power requirement is the power supply power output after multiple thermal power units are powered on simultaneously and connected to the grid, and the total power supply power is the sum of the power supply powers of all thermal power units; the power climbing model is a model that reflects the speed of change of the power supply power of the thermal power unit when the power supply power changes, specifically, setting multiple power supplies arranged in sequence from small to large, controlling the thermal power unit to work at the minimum power supply power, gradually increasing the power supply power to each subsequent power supply power, and recording the speed of change between two adjacent power supplies.

[0011] As a preferred scheme of the scheduling method of thermal power units described in the present invention, wherein: the scheduling target is to determine the coal consumption data corresponding to each power supply power value according to the coal consumption-power supply power model, with the goal of minimizing the sum of the total coal consumption and the longest power change time of the thermal power units; the scheduling model is the sum of the total coal consumption of the thermal power units and the longest power change time of the thermal power units; the constraint factor refers to the total power supply power requirement and the upper and lower limits of the power supply power of each thermal power unit as constraints.

[0012] As a preferred solution of the scheduling method of the thermal power units described in the present invention, obtaining the optimal scheduling strategy includes the following steps: using a genetic simulated annealing algorithm to solve the scheduling model, randomly allocating the power supply of each thermal power unit according to the total power supply power requirement, and satisfying the upper and lower limits of the power supply power of each thermal power unit during the allocation, and then determining the corresponding coal consumption data based on the allocated power supply power and coal consumption-power supply power, thereby forming an initial sequence composed of coal consumption data of multiple thermal power units; expanding the initial sequence, and satisfying the total power supply power requirement and the upper and lower limits of the power supply power of each thermal power unit during the expansion process, thereby obtaining the optimal scheduling strategy.

[0013] As a preferred scheme of the scheduling method of thermal power units described in the present invention, wherein: the correction of the optimal scheduling strategy and scheduling of the thermal power units includes the following steps: inputting the optimal scheduling strategy into the thermal power unit model to determine whether the thermal power unit has undergone reverse adjustment; if so, using the optimal scheduling strategy at the previous moment as the corrected scheduling strategy; if no reverse adjustment has occurred, using the optimal scheduling strategy as the corrected scheduling strategy; the corrected scheduling strategy refers to the coal consumption of each thermal power unit, and the coal consumption is sent to the controllers of each thermal power unit. These controllers control the corresponding thermal power units according to the corresponding coal consumption data, thereby completing the scheduling of each thermal power unit; after scheduling the thermal power units using the corrected scheduling strategy, the updated total power supply requirement is also obtained in real time, and the scheduling model is solved according to the updated total power supply requirement to obtain an updated corrected scheduling strategy.

[0014] To further solve the above technical problems, the present invention provides the following technical solutions: a dispatching system for thermal power units, comprising: a collection module, used to obtain an operating parameter set of the thermal power units, including online acquisition of coal consumption data and power supply data of each thermal power unit; a modeling module, used to establish a dispatching model after determining a dispatching target based on the operating parameter set, and to add at least one constraint factor to the dispatching model to obtain an optimal dispatching strategy for the dispatching target when solving the dispatching model; a correction and dispatching module, used to correct the optimal dispatching strategy and dispatch the thermal power units.

[0015] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the scheduling method of the thermal power unit as described above are implemented.

[0016] 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 scheduling method for a thermal power unit as described above are implemented.

[0017] The beneficial effects of the present invention are as follows: after establishing the scheduling model, the present invention solves the problem with the goal of minimizing the sum of total coal consumption and the longest power change time of thermal power units. The obtained scheduling strategy can simultaneously ensure that the coal consumption and the impact of the total power supply after applying the scheduling strategy are both at a low level, effectively ensuring the smooth operation of thermal power generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 An overall flow chart of a method for dispatching a thermal power unit provided in one embodiment of the present invention.

[0020] Figure 2 This is a computer equipment diagram of the scheduling method for thermal power units of the present invention. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0022] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0023] Example 1, reference Figure 1 , as an embodiment of the present invention, provides a scheduling method for a thermal power unit.

[0024] The existing thermal power unit scheduling methods mainly have the following problems: when the scheduling instructions formed by considering only the total coal consumption are executed, there may be a situation where the power supply of a single thermal power unit changes significantly. Since the power supply affects the stability of the overall power supply, considering only the total coal consumption will have an adverse effect on the stability of the power supply.

[0025] The present application provides a method for effectively solving the above-mentioned problems. Next, a plurality of embodiments will be combined to explain in detail how to implement the scheduling method of the thermal power unit.

[0026] Figure 1 The overall flow chart of the dispatching method of thermal power units is shown, including:

[0027] S1: Obtain the operating parameter set of the thermal power unit;

[0028] S2: establishing a scheduling model after determining the scheduling target based on the operating parameter set, and adding at least one constraint factor to the scheduling model to obtain an optimal scheduling strategy for the scheduling target when solving the scheduling model;

[0029] S3: Modify the optimal dispatching strategy and dispatch the thermal power units.

[0030] Next, we will introduce the above solutions one by one in detail:

[0031] First, for S1: obtain the operating parameter set of the thermal power unit. The operating parameter set is mainly composed of coal consumption data and power supply power.

[0032] For each thermal power unit, a device for collecting coal consumption data and power supply can be pre-installed. The device collects coal consumption data and power supply data in real time during the operation of the thermal power unit and stores them in real time. Since the real-time collected data may contain errors, the coal consumption data and power supply power need to be pre-processed before storage, specifically data elimination, data interpolation and data correction. Among them, data elimination refers to the existence of two identical or different data at the same time. For these two data, one can be selected according to the level of historical values ​​to be retained, and the other needs to be eliminated; data interpolation refers to the situation where there is data missing at a certain moment. At this time, it is necessary to estimate the data based on the average value of the data before and after the moment and insert it into the missing position; data correction refers to the data at a certain moment compared with the data or historical values ​​of the previous moment or the next moment. There is an obvious abnormality, such as a significant increase or decrease. This abnormality is determined relative to the data before and after the moment. For abnormal data, its value can be corrected to reach a normal level.

[0033] Furthermore, based on the preprocessed and stored coal consumption data and power supply, the least square method is used to fit the function curve between the coal consumption data and the power supply data, and then the coal consumption-power supply model in the form of a function curve expression is obtained. Specifically, a polynomial can be used for fitting, and the coal consumption-power supply model in the form of a polynomial obtained by fitting can be expressed as:

[0034]

[0035] In the above formula, P it represents the power supply of the i-th thermal power unit at time t, a1, a2 and b are the coefficients of each term in the polynomial, m it Represents the coal consumption of the i-th thermal power unit at time t.

[0036] Since the collected coal consumption data and power supply power data appear in pairs, that is, the coal consumption data at a certain moment must correspond to the power supply power data, there is a corresponding relationship between the coal consumption data and the power supply power. The corresponding relationship can be determined by function fitting. Specifically, the least squares method can be used to fit the function curve of the coal consumption data and power supply power that have a corresponding relationship. The mathematical expression of the function curve can be used as the coal consumption-power supply power model.

[0037] It should be understood that since each thermal power unit has a minimum power supply and a maximum power supply, and the coal consumption data also has the same situation, the obtained coal consumption-power supply model has upper and lower limit constraints. The actual value needs to be within the constraints, and the value outside the constraints has no practical meaning.

[0038] Furthermore, based on the preprocessed and stored coal consumption data and power supply power, the total power supply power requirement is obtained and a power ramp-up model for each thermal power unit is constructed.

[0039] Specifically, the total power supply power is the power supply power output after multiple thermal power units are connected to the grid after supplying power at the same time. The total power supply power is the sum of the power supply powers of all thermal power units. Since the total power supply power may change in actual applications, for example, when the power consumption of residents' air conditioning is high in summer, the demand for electricity increases, so the thermal power units need to maintain a higher power supply state, that is, the total power supply power requirement is high, and when the power consumption is low, especially at night, the requirement for the total power supply power is relatively low. Therefore, the total power supply power needs to be determined according to actual needs to ensure that the generated electricity is used in real time as much as possible.

[0040] Specifically, the requirement for the total power supply can be judged manually based on experience, or it can be predicted using a computer model. During the prediction, a neural network model can be used to establish a prediction model. After the prediction model is trained using historical data, the total power supply can be predicted. The prediction result can be used as the total power supply requirement.

[0041] The power ramp model is a model that reflects the speed of power supply change when the power supply of a thermal power unit changes. This model can be obtained by conducting experiments on each type of thermal power unit. Specifically, in the experiment, multiple power supplies arranged in order from small to large can be set, and after the thermal power unit is controlled to work at the minimum power supply, the power supply is gradually increased to each subsequent power supply, and the speed of change between two adjacent power supplies is recorded. This model can be embodied in the form of a linear function.

[0042] Secondly, for S2: after determining the scheduling target based on the operating parameter set, a scheduling model is established, and at least one constraint factor is added to the scheduling model to obtain the optimal scheduling strategy for the scheduling target when solving the scheduling model.

[0043] Specifically, the scheduling goal is to determine the coal consumption data corresponding to each power supply power value based on the coal consumption-power supply power model, with the goal of minimizing the sum of the total coal consumption and the longest power change time of the thermal power unit.

[0044] The dispatch model is the sum of the total coal consumption of the thermal power units and the longest power change time of the thermal power units.

[0045] The constraint factor refers to the total power supply requirement and the upper and lower limits of the power supply of each thermal power unit.

[0046] When establishing a scheduling model, the total coal consumption of the thermal power unit and the sum of the longest power change time of the thermal power unit can be determined in the form of weighted summation using preset weights. The weight can be set according to the requirements for coal consumption and total power supply power changes in actual power supply demand. For example, the weight of coal consumption can be set to 0.6, and the weight of power supply can be set to 0.4. When the weight of one of the items is larger, it means that the item is more important in the actual power supply demand. It should be understood that the sum of the weights of the total coal consumption of the thermal power unit and the longest power change time of the thermal power unit is 1, and the weight of any one of the items can be taken in the range of 0 to 1. At the same time, since the total coal consumption and the longest power change time use different physical units, before establishing the scheduling model, the total coal consumption and the longest power change time need to be normalized to remove the influence of different physical units.

[0047] In an embodiment of the present application, when the weight of the longest power change time of the thermal power unit in the scheduling model is zero, the scheduling model is the total coal consumption of the thermal power unit, and the scheduling model is solved with the goal of minimizing the total coal consumption. When there are two or more scheduling strategies obtained by solving the scheduling model with the goal of minimizing the total coal consumption, the scheduling strategies are screened with the goal of minimizing the longest power change time of the thermal power unit to obtain the optimal scheduling strategy. When there is only one scheduling strategy obtained by solving the scheduling model with the goal of minimizing the total coal consumption, the scheduling strategy can be directly used as the optimal scheduling strategy without the need to screen according to the longest power change time.

[0048] Exemplarily, the scheduling model can be solved by using a genetic simulated annealing algorithm. When solving the scheduling model using a genetic simulated annealing algorithm, the power supply of each thermal power unit can be randomly allocated according to the total power supply requirements. During the allocation, the power supply upper and lower limits of each thermal power unit need to be satisfied. Then, the corresponding coal consumption data is determined based on the allocated power supply and coal consumption-power supply, thereby forming an initial sequence composed of coal consumption data of multiple thermal power units. The initial sequence is called an initial chromosome in the genetic simulated annealing algorithm. For the initial chromosome, the chromosome can be expanded by mutation, crossover, etc., and a large number of different chromosomes are formed. During the expansion process, the total power supply requirements and the upper and lower limits of the power supply of each thermal power unit also need to be satisfied. The chromosome diversity can be enhanced by the expansion of chromosomes, avoiding the problem of falling into the local optimum, so as to obtain the best scheduling strategy. After the expansion of multiple chromosomes, the chromosomes need to be filtered according to the fitness value to retain the chromosomes that meet the actual situation.

[0049] After obtaining multiple chromosomes, they can be temporarily stored, and then taken out one at a time in sequence for iterative calculation. In the iterative calculation, it is necessary to obtain the operating data of the current thermal power unit, mainly the current power supply of the thermal power unit, compare the current power supply with the power supply in the current chromosome, and then determine the longest time required for the current power supply to be adjusted to the power supply in the chromosome according to the power climbing model of each thermal power unit, so as to obtain the data pair of the total coal consumption and the longest power change time corresponding to the current chromosome.

[0050] Finally, the total coal consumption and the sum of the longest power change time of the thermal power units can be calculated. After calculating the total coal consumption and the sum of the longest power change time of the thermal power units of a chromosome, it can be compared with the previous data. After comparison, the smaller data will be retained and the iteration will continue until the set number of iterations is reached, and the chromosome with the smallest data, that is, the scheduling strategy, is output.

[0051] Finally, for S3: modify the optimal dispatching strategy and dispatch the thermal power units.

[0052] For example, directly applying the optimal scheduling strategy to a thermal power unit may cause the thermal power unit to experience reverse regulation. To solve this problem, a thermal power unit model may be established in advance. After obtaining the optimal scheduling strategy, the optimal scheduling strategy is input into the thermal power unit model to determine whether the thermal power unit has experienced reverse regulation. If so, the optimal scheduling strategy at the previous moment is used as the revised scheduling strategy. If no reverse regulation occurs, the optimal scheduling strategy is used as the revised scheduling strategy.

[0053] The revised scheduling strategy is the coal consumption of each thermal power unit, and these coal consumption data are sent to the controllers of each thermal power unit. These controllers control the corresponding thermal power units according to the corresponding coal consumption data, completing the scheduling of each thermal power unit. After the thermal power units are scheduled using the revised scheduling strategy, the updated total power supply requirements are also obtained in real time, and the scheduling model is solved according to the updated total power supply requirements to obtain an updated revised scheduling strategy.

[0054] Since the total power supply power may change at any time, it is necessary to obtain updated total power supply power requirements at certain time intervals, such as 1 hour, 2 hours, etc., and generate a scheduling strategy according to the updated requirements to achieve the effect of real-time tracking of the scheduling strategy.

[0055] Embodiment 2 is an embodiment of the present invention, which provides a dispatching system for thermal power units, including: a collection module, used to obtain an operating parameter set of the thermal power units, including online acquisition of coal consumption data and power supply data of each thermal power unit; a modeling module, used to establish a dispatching model after determining the dispatching target based on the operating parameter set, and add at least one constraint factor to the dispatching model to obtain the optimal dispatching strategy for the dispatching target when solving the dispatching model; a correction and dispatching module, used to correct the optimal dispatching strategy and dispatch the thermal power units.

[0056] Example 3, reference Figure 2 , is an embodiment of the present invention, which is different from the previous embodiment in that: if the 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 this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0057] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0058] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0059] 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-mentioned embodiments, a plurality of 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, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0060] Example 4 is an embodiment of the present invention, which provides a scheduling method for thermal power units. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0061] Table 1

[0062]

[0063] As shown in Table 1, Experiment No. 1: Total coal consumption: 50.2 tons / hour. This represents the total amount of coal consumed by the thermal power unit during the power supply process under the existing technology. Maximum power change time: 20 minutes. This refers to the maximum time required for the thermal power unit to change from one power level to another when adjusting the power supply. Total power supply stability: 85%. This shows the stability of the total power supply under the existing scheduling method.

[0064] Experiment No. 2: The present invention. Total coal consumption: 47.5 tons / hour. Compared with the prior art, the present invention can reduce coal consumption, thereby reducing operating costs. The longest power change time: 15 minutes. The method of the present invention can adjust the power supply of the thermal power unit more quickly, thereby improving the response speed. Total power supply stability: 90%. The method of the present invention not only reduces coal consumption, but also improves the stability of the total power supply, making the power supply more reliable.

[0065] It can be seen from the above theoretical experimental data that the present invention has improved the total coal consumption, the longest power change time and the stability of the total power supply. Specifically: the total coal consumption has been reduced by about 5.4%, from 50.2 tons / hour to 47.5 tons / hour. The longest power change time has been shortened by 25%, from 20 minutes to 15 minutes. The stability of the total power supply has been improved by 5 percentage points, from 85% to 90%.

[0066] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for dispatching a thermal power unit, characterized in that: include: Obtain the operating parameter set of the thermal power unit; After determining the scheduling target based on the operating parameter set, a scheduling model is established, and at least one constraint factor is added to the scheduling model to obtain an optimal scheduling strategy for the scheduling target when solving the scheduling model; The optimal dispatching strategy is modified and the thermal power units are dispatched.

2. The method for dispatching a thermal power unit according to claim 1, characterized in that: The operating parameter set includes coal consumption data and power supply power; The step of obtaining the operating parameter set of the thermal power unit comprises the following steps: A device for collecting coal consumption data and power supply power is installed on each thermal power unit; Preprocessing and storing the coal consumption data and power supply power; The preprocessing includes data elimination, data interpolation and data correction.

3. The dispatching method of a thermal power unit according to claim 2, characterized in that: Based on the stored coal consumption data and power supply power, the least squares method is used to fit the function curve between the coal consumption data and the power supply power data, and then the coal consumption-power supply power model in the form of a function curve expression is obtained.

4. The method for dispatching a thermal power unit according to claim 3, characterized in that: Based on the stored coal consumption data and power supply power, the total power supply power requirement is obtained, and a power ramp-up model for each thermal power unit is constructed; The total power supply requirement is the power supply power output after multiple thermal power units are connected to the grid and supply power at the same time. The total power supply power is the sum of the power supply powers of all thermal power units. The power ramp model is a model that reflects the speed of power supply change of a thermal power unit when the power supply changes. Specifically, multiple power supplies are set in sequence from small to large, and after the thermal power unit is controlled to work at the minimum power supply, the power supply is gradually increased to each subsequent power supply, and the speed of change between two adjacent power supplies is recorded.

5. The dispatching method of a thermal power unit according to claim 4, characterized in that: The scheduling target is to determine the coal consumption data corresponding to each power supply power value according to the coal consumption-power supply power model, with the goal of minimizing the sum of the total coal consumption and the longest power change time of the thermal power unit; The dispatch model is the sum of the total coal consumption of the thermal power units and the longest power change time of the thermal power units; The constraint factors refer to the total power supply requirements and the upper and lower limits of the power supply of each thermal power unit as constraint conditions.

6. The method for dispatching a thermal power unit according to claim 5, characterized in that: Obtaining the optimal scheduling strategy includes the following steps: The scheduling model is solved by using a genetic simulated annealing algorithm, and the power supply of each thermal power unit is randomly allocated according to the total power supply requirement. The upper and lower limits of the power supply of each thermal power unit need to be met during the allocation. Then, the corresponding coal consumption data is determined according to the allocated power supply and coal consumption-power supply, thereby forming an initial sequence consisting of the coal consumption data of multiple thermal power units. The initial sequence is expanded, and during the expansion process, the total power supply requirement and the upper and lower limits of the power supply power of each thermal power unit must be met, so as to obtain the best scheduling strategy.

7. The dispatching method of a thermal power unit according to claim 6, characterized in that: The method of correcting the optimal dispatching strategy and dispatching the thermal power unit comprises the following steps: The optimal dispatching strategy is input into the thermal power unit model to determine whether the thermal power unit has reverse dispatching; If it happens, the optimal scheduling strategy at the previous moment will be used as the revised scheduling strategy; If no reverse scheduling occurs, the optimal scheduling strategy is used as the revised scheduling strategy; The modified scheduling strategy refers to the coal consumption of each thermal power unit, and the coal consumption is sent to the controllers of each thermal power unit. These controllers control the corresponding thermal power units according to the corresponding coal consumption data, thereby completing the scheduling of each thermal power unit; After the thermal power units are dispatched using the revised dispatch strategy, the updated total power supply requirements are obtained in real time, and the dispatch model is solved according to the updated total power supply requirements to obtain an updated revised dispatch strategy.

8. A system using the dispatching method of a thermal power unit as claimed in any one of claims 1 to 7, characterized in that: include: The acquisition module is used to obtain the operating parameter set of the thermal power unit, including online acquisition of the coal consumption data and power supply data of each thermal power unit; A modeling module, configured to establish a scheduling model after determining the scheduling target based on the operating parameter set, and to add at least one constraint factor to the scheduling model so as to obtain an optimal scheduling strategy for the scheduling target when solving the scheduling model; The correction and scheduling module is used to correct the optimal scheduling strategy and schedule the thermal power units.

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 method for dispatching a thermal power unit according to any one of claims 1 to 7 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 method for dispatching a thermal power unit according to any one of claims 1 to 7 are implemented.

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