A centralized dispatch optimization method, system, device and medium for energy storage power stations

Abstract

The application belongs to the technical field of energy storage regulation, and discloses a centralized dispatching optimization method, system, device and medium for an energy storage power station, which comprises the following steps: real-time monitoring of the energy storage power station and a thermal power unit participating in regional control deviation regulation is performed according to a pre-set sliding window time, and energy storage power station parameters and thermal power unit parameters are obtained; based on the energy storage power station parameters and the thermal power unit parameters, the total adjustment rate of the thermal power unit is obtained, and the total adjustment rate of the energy storage power station after limiting the rate of the energy storage power station is judged, and in combination with the maximum charging / discharging rate constraint of the energy storage power station device, the optimized adjustment rate of the energy storage power station is obtained. The application can significantly reduce the impact of centralized calling of the energy storage power station on the stability of the power grid, and improve the coordination efficiency of the thermal power unit and the energy storage power station; meanwhile, fairness and flexibility are taken into account in the allocation mechanism, real-time dispatching requirements of the spot market are adapted to, and efficient application of the energy storage technology in the power grid is promoted.

Description

Technical Field

[0001] This invention relates to the field of energy storage regulation technology, and in particular to a method, system, equipment and medium for centralized scheduling optimization of energy storage power stations. Background Technology

[0002] In the current new energy power system, the installed capacity of new energy storage is growing rapidly. The high proportion of new energy grid connection has led to increasingly tight grid flexibility adjustment resources and a continuous decline in the system's dynamic adjustment capability. In the face of the difficulties and challenges in the construction of new power systems, energy storage power stations, as an emerging grid-connected entity, must meet the dynamic adjustment capability requirements of the grid, such as frequency regulation, peak shaving, and emergency power support.

[0003] For peak-shaving scenarios, most provincial power grids currently employ centralized dispatching to regulate energy storage power stations participating in the spot market, directing their charging and discharging according to planned curves. The dispatching strategy for these planned curves is step-based, meaning that each energy storage power station receives a step-load change signal when its output needs to be adjusted. When multiple energy storage power stations respond to multiple step-power signals simultaneously, it generates step disturbances to the provincial power grid, potentially causing ACE (Area Control Deviation) exceeding limits and low-frequency oscillations. To avoid this, it is necessary to optimize the centralized dispatching of energy storage power stations under the spot market, ensuring fair, accurate, and efficient dispatching while guaranteeing the safety and stability of the power grid.

[0004] Therefore, how to provide a centralized scheduling optimization method, system, equipment, and medium for energy storage power stations is an urgent problem to be solved. Summary of the Invention

[0005] This invention provides a centralized scheduling optimization method, system, equipment, and medium for energy storage power stations to solve the aforementioned technical problems in the prior art.

[0006] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or to describe the scope of protection of these embodiments. Its sole purpose is to present some concepts in a simple form as a prelude to the detailed description that follows.

[0007] According to a first aspect of the present invention, a centralized scheduling optimization method for energy storage power stations is provided.

[0008] In one embodiment, the centralized dispatch optimization method for the energy storage power station includes:

[0009] According to the pre-set sliding window time, the energy storage power station and the thermal power unit participating in the regional control deviation adjustment are monitored in real time to obtain the parameters of the energy storage power station and the parameters of the thermal power unit.

[0010] Based on the parameters of the energy storage power station and the parameters of the thermal power unit, the total regulation rate of the thermal power unit is obtained. The total regulation rate of the energy storage power station after the energy storage power station is limited is compared with the total regulation rate of the energy storage power station. Combined with the maximum charge / discharge rate constraint of the energy storage power station equipment, the optimized regulation rate of the energy storage power station is obtained.

[0011] Based on the limitations of the upper and lower limits of thermal power unit output, the actual thermal power unit regulation rate is calculated. Combined with the status information of thermal power units participating in the regional control deviation adjustment, the thermal power unit regulation rate is dynamically adjusted to form a thermal power unit output constraint, and the regulation rate of the energy storage power station is further optimized.

[0012] The optimized energy storage power station adjustment rate is set as the control command. Based on the control results, the next time step plan curve for each energy storage power station is formulated. By issuing the plan curve, each energy storage power station allocates its own energy storage unit to perform the response action.

[0013] In one embodiment, the sliding window time is consistent with the time interval of the dispatching cycle of the scheduler's dispatching plan curve;

[0014] The parameters of the energy storage power station include: the state of charge of the energy storage power station, the rated capacity of the energy storage power station, the rated active power of the energy storage power station, and the active power of the energy storage power station; the parameters of the thermal power unit include: the active power of the thermal power unit, the regulation rate declared by the thermal power unit, the equipment status of the unit, and the fuel supply status of the unit.

[0015] In one embodiment, the step of obtaining the total regulation rate of the thermal power unit based on the parameters of the energy storage power station and the parameters of the thermal power unit, comparing it with the total regulation rate of the energy storage power station after the energy storage power station's rate limit, and combining this with the maximum charge / discharge rate constraint of the energy storage power station equipment to obtain the optimized regulation rate of the energy storage power station includes:

[0016] Using the rated active power of the energy storage power station as the standard, a plan curve limiting the regulation rate is issued to each energy storage power station until the cumulative value of the regulation rate of the energy storage power station equals the step load.

[0017] The regulation rate of the energy storage power station is matched with the regulation capacity of the thermal power units participating in the regulation of the grid area control deviation. The relationship between the total regulation power of the energy storage power station and the maximum regulation rate of the thermal power units participating in the regulation of the grid area control deviation at the same time is determined. Based on the determination results, the regulation rate of the energy storage power station is optimized.

[0018] Obtain the maximum charge / discharge rate of the energy storage power station equipment, establish charge / discharge constraints on the regulation rate of the energy storage power station, and constrain the regulation rate of the energy storage power station to always be less than or equal to the maximum charge / discharge rate of the energy storage power station equipment.

[0019] In one embodiment, the formula for issuing a planned curve limiting the regulation rate to each energy storage power station until the cumulative value of the regulation rate of the energy storage power stations equals the step load is as follows:

[0020]

[0021] In the formula, V i The load command for the planned curve of the i-th energy storage power station; This represents the cumulative amount of the energy storage power station load command from the previous cycle; N represents the step load amount of the original planned curve; P e,i V represents the rated active power of the i-th energy storage power station. e,i,j Δt represents the load command increment for the i-th energy storage power station at the j-th minute; Δt is the sliding window time.

[0022] In one embodiment, determining the relationship between the total regulating power of the energy storage power station and the maximum regulating rate of the thermal power units participating in the regional control deviation regulation of the power grid at the same time, and optimizing the regulating rate of the energy storage power station based on the determination result, includes:

[0023] If, at any given moment, the total regulating power of the energy storage power station is less than or equal to the maximum regulating rate of the thermal power unit participating in the regional control deviation regulation of the power grid, then a plan curve limiting the regulating rate will be issued to each energy storage power station.

[0024] If, at any given moment, the total regulating power of the energy storage power station is greater than the maximum regulating rate of the thermal power unit participating in the regional control deviation regulation of the power grid, then the regulating rate of all energy storage power stations will be reduced proportionally.

[0025] In one embodiment, the step of calculating the actual thermal power unit regulation rate based on the upper and lower limits of thermal power unit output, dynamically adjusting the thermal power unit regulation rate by combining the thermal power unit status information participating in the regional control deviation adjustment, forming a thermal power unit output constraint, and further optimizing the energy storage power station regulation rate includes:

[0026] According to the planned curve issuance cycle, the upper and lower limits of the output of thermal power units participating in the regional control deviation adjustment are monitored regularly to determine whether the thermal power units in the next issuance cycle have the active power regulation rate capability. If they do not have it, the regulation rate of the thermal power unit in the next issuance cycle is set to 0. If they do have it, the regulation rate of the thermal power unit in the current issuance cycle is maintained.

[0027] Based on the operating status and coal quality of the thermal power unit, the unit status parameter factor of the thermal power unit is set, and the adjustment rate of the thermal power unit is dynamically adjusted using the unit status parameter factor. The unit status parameter factor includes a fuel supply factor and a health status factor.

[0028] The dynamically adjusted regulation rate of the thermal power unit is compared with the total regulation power of the energy storage power station at the same time to form the output constraint of the thermal power unit. The regulation rate of the energy storage power station is then optimized again to obtain the final output of the energy storage power station for centralized dispatch.

[0029] In one embodiment, the calculation formula for dynamically adjusting the regulating rate of the thermal power unit using the unit state parameter factor is as follows:

[0030]

[0031] In the formula, To dynamically adjust the regulating rate of the thermal power unit; The regulation rate of thermal power unit i; α fuel For fuel supply factor; α health These are factors related to health status.

[0032] According to a second aspect of the present invention, a centralized scheduling and optimization system for energy storage power stations is provided.

[0033] In one embodiment, the centralized dispatch and optimization system for the energy storage power station includes:

[0034] The parameter acquisition module is used to monitor the energy storage power station and the thermal power unit participating in the regional control deviation adjustment in real time according to the preset sliding window time, and obtain the parameters of the energy storage power station and the thermal power unit.

[0035] The optimization calculation module is used to obtain the total regulation rate of the thermal power unit based on the parameters of the energy storage power station and the parameters of the thermal power unit, compare it with the total regulation rate of the energy storage power station after the energy storage power station has a limited rate, and combine it with the maximum charging / discharging rate constraint of the energy storage power station equipment to obtain the optimized regulation rate of the energy storage power station.

[0036] The prediction and judgment module is used to calculate the actual adjustment rate of thermal power units based on the upper and lower limits of thermal power unit output. Combined with the status information of thermal power units participating in regional control deviation adjustment, the adjustment rate of thermal power units is dynamically adjusted to form thermal power unit output constraints and further optimize the adjustment rate of energy storage power stations.

[0037] The scheduling and control module is used to set the optimized and constrained adjustment rate of the energy storage power station as a control command, formulate the planning curve of each energy storage power station for the next moment based on the control result, and distribute the planning curve to each energy storage power station to allocate its own energy storage unit to perform response actions.

[0038] In one embodiment, the sliding window time is consistent with the time interval of the dispatching cycle of the scheduler's dispatching plan curve;

[0039] The parameters of the energy storage power station include: the state of charge of the energy storage power station, the rated capacity of the energy storage power station, the rated active power of the energy storage power station, and the active power of the energy storage power station; the parameters of the thermal power unit include: the active power of the thermal power unit, the regulation rate declared by the thermal power unit, the equipment status of the unit, and the fuel supply status of the unit.

[0040] In one embodiment, the optimization calculation module includes: a rate limiting module, a matching optimization module, and a rate constraint module, wherein,

[0041] The rate limiting module is used to issue a planned curve for limiting the adjustment rate to each energy storage power station, based on the rated active power of the energy storage power station, until the cumulative value of the adjustment rate of the energy storage power station equals the step load.

[0042] The matching optimization module is used to match the regulation rate of the energy storage power station with the regulation capacity of the thermal power units participating in the regulation of the grid area control deviation, determine the relationship between the total regulation power of the energy storage power station and the maximum regulation rate of the thermal power units participating in the regulation of the grid area control deviation at the same time, and optimize the regulation rate of the energy storage power station based on the determination result.

[0043] The rate constraint module is used to obtain the maximum charge / discharge rate of the energy storage power station equipment, establish charge / discharge constraint conditions for the energy storage power station regulation rate, and constrain the energy storage power station regulation rate to always be less than or equal to the maximum charge / discharge rate of the energy storage power station equipment.

[0044] In one embodiment, the formula for issuing a planned curve limiting the regulation rate to each energy storage power station until the cumulative value of the regulation rate of the energy storage power stations equals the step load is as follows:

[0045]

[0046] In the formula, V i The load command for the planned curve of the i-th energy storage power station; This represents the cumulative amount of the energy storage power station load command from the previous cycle; N represents the step load amount of the original planned curve; P e,i V represents the rated active power of the i-th energy storage power station. e,i,j Δt represents the load command increment for the i-th energy storage power station at the j-th minute; Δt is the sliding window time.

[0047] In one embodiment, the matching optimization module includes: a constraint optimization module and a narrowing optimization module, wherein,

[0048] The limiting optimization module is used to issue a plan curve for limiting the regulation rate to each energy storage station if, at the same time, the total regulating power of the energy storage station is less than or equal to the maximum regulating rate of the thermal power unit participating in the regional control deviation regulation of the power grid.

[0049] The reduction and optimization module is used to proportionally reduce the regulation rate of all energy storage power stations if, at the same time, the total regulation power of the energy storage power station is greater than the maximum regulation rate of the thermal power unit participating in the regional control deviation regulation of the power grid.

[0050] In one embodiment, the prediction and judgment module includes: a rate prediction module, a dynamic adjustment module, and an output constraint module, wherein...

[0051] The rate prediction module is used to periodically monitor the upper and lower limits of the output of thermal power units participating in the regional control deviation adjustment according to the issuance cycle of the planned curve, and determine whether the thermal power unit in the next issuance cycle has the active power adjustment rate capability. If it does not have the capability, the adjustment rate of the thermal power unit in the next issuance cycle is set to 0. If it does have the capability, the adjustment rate of the thermal power unit in the current issuance cycle is maintained.

[0052] The dynamic adjustment module is used to set the unit status parameter factors of the thermal power unit based on the operating status and coal quality of the thermal power unit, and to dynamically adjust the adjustment rate of the thermal power unit using the unit status parameter factors. The unit status parameter factors include fuel supply factors and health status factors.

[0053] The output constraint module is used to judge the dynamically adjusted regulation rate of the thermal power unit and the total regulation power of the energy storage power station at the same time to form the output constraint of the thermal power unit, and further optimize the regulation rate of the energy storage power station to obtain the final output of the energy storage power station for centralized dispatch.

[0054] In one embodiment, the calculation formula for dynamically adjusting the regulating rate of the thermal power unit using the unit state parameter factor is as follows:

[0055]

[0056] In the formula, To dynamically adjust the regulating rate of the thermal power unit; The regulation rate of thermal power unit i; α fuel For fuel supply factor; α health These are factors related to health status.

[0057] According to a third aspect of the present invention, a computer device is provided.

[0058] In some embodiments, the computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described above.

[0059] According to a fourth aspect of the present invention, a computer-readable storage medium is provided.

[0060] In one embodiment, a computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the steps of the above method.

[0061] The technical solution provided by this invention can include the following beneficial effects: This invention solves the problems of grid ACE exceeding limits and low-frequency oscillations caused by the step-curve scheduling of multiple energy storage power stations in traditional scheduling methods; by selecting key parameters such as the SOC and active power of energy storage power stations, and key parameters such as the active power, declared regulation rate, unit equipment status, and fuel supply of thermal power units participating in ACE, and by introducing a fair allocation mechanism for standardized regulation rates, based on the rated power of energy storage power stations, the regulation rate is limited to 2% of rated power / minute, and combined with the prediction and dynamic adjustment of the regulation capacity of thermal power units, the coordinated scheduling strategy of energy storage power stations and thermal power units in the spot market is optimized. Compared with the prior art, this invention can significantly reduce the impact of energy storage power station scheduling on grid operation stability and improve the coordination efficiency of thermal power units and energy storage power stations. At the same time, this method takes into account fairness and flexibility in the allocation mechanism, adapts to the real-time scheduling needs of the spot market, and promotes the efficient application of energy storage technology in the grid.

[0062] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0063] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0064] Figure 1 This is a flowchart illustrating a centralized scheduling optimization method for an energy storage power station according to an exemplary embodiment;

[0065] Figure 2 This is a schematic diagram illustrating the structure of a centralized dispatch and optimization system for an energy storage power station according to an exemplary embodiment;

[0066] Figure 3 This is a schematic diagram of the structure of a computer device according to an exemplary embodiment;

[0067] Figure 4 This is a control process diagram illustrating a centralized scheduling optimization method for energy storage power stations according to an exemplary embodiment. Detailed Implementation

[0068] The following description and accompanying drawings fully illustrate specific embodiments described herein to enable those skilled in the art to practice them. Some embodiments may include or substitute parts and features of other embodiments. The scope of the embodiments herein encompasses the entire scope of the claims and all available equivalents thereof. Throughout this document, the terms “first,” “second,” etc., are used only to distinguish one element from another without requiring or implying any actual relationship or order between the elements. Indeed, a first element can also be referred to as a second element, and vice versa. Furthermore, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a structure, apparatus, or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a structure, apparatus, or device. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the structure, apparatus, or device that includes said element. The various embodiments described herein are presented in a progressive manner, with each embodiment focusing on its differences from other embodiments; similar or identical parts between embodiments can be referred to interchangeably.

[0069] The terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer" used in this document to indicate orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings. They are used solely for the convenience of describing the document and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In the description herein, unless otherwise specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to mechanical or electrical connections, or internal connections between two elements; they can be direct connections or indirect connections through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms according to the specific circumstances.

[0070] In this document, unless otherwise stated, the term "multiple" means two or more.

[0071] In this article, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0072] In this article, the term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0073] It should be understood that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order constraint on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the diagram may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0074] The modules in the apparatus or system of this application can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0075] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0076] Figure 1 An embodiment of a centralized scheduling optimization method for energy storage power stations according to the present invention is shown.

[0077] In this optional embodiment, the centralized scheduling optimization method for energy storage power stations includes:

[0078] Step S101: According to the preset sliding window time, monitor the energy storage power station and the thermal power unit participating in the regional control deviation adjustment in real time to obtain the parameters of the energy storage power station and the parameters of the thermal power unit.

[0079] Step S103: Based on the parameters of the energy storage power station and the parameters of the thermal power unit, obtain the total regulation rate of the thermal power unit, compare it with the total regulation rate of the energy storage power station after the energy storage power station has a limited rate, and combine it with the maximum charging / discharging rate constraint of the energy storage power station equipment to obtain the optimized regulation rate of the energy storage power station.

[0080] Step S105: Based on the upper and lower limits of the output of thermal power units, calculate the actual adjustment rate of thermal power units, combine the status information of thermal power units participating in the regional control deviation adjustment, dynamically adjust the adjustment rate of thermal power units, form the output constraint of thermal power units, and further optimize the adjustment rate of energy storage power stations.

[0081] Step S107: Set the optimized energy storage power station adjustment rate as a control command, formulate the next time-period plan curve for each energy storage power station based on the control results, and distribute the plan curve to each energy storage power station to perform response actions by allocating their respective energy storage units.

[0082] In this optional embodiment, the sliding window time is consistent with the time interval between the dispatching agency's issuance cycle of the plan curve; the energy storage power station parameters include: energy storage power station state of charge, energy storage power station rated capacity, energy storage power station rated active power, and energy storage power station active power; the thermal power unit parameters include: thermal power unit active power, thermal power unit declared adjustment rate, unit equipment status, and unit fuel supply status.

[0083] In this optional embodiment, when the total regulation rate of the thermal power unit is obtained based on the parameters of the energy storage power station and the parameters of the thermal power unit, and the total regulation rate of the energy storage power station after the energy storage power station's rate limit is compared with that of the energy storage power station, and the optimized regulation rate of the energy storage power station is obtained in combination with the maximum charge / discharge rate constraint of the energy storage power station equipment, the rated active power of the energy storage power station can be used as the standard to issue a planned curve for limiting the regulation rate to each energy storage power station until the cumulative value of the energy storage power station's regulation rate equals the step load; the regulation rate of the energy storage power station is matched with the regulation capacity of the thermal power units participating in the grid area control deviation regulation, and the relationship between the total regulation power of the energy storage power station and the maximum regulation rate of the thermal power units participating in the grid area control deviation regulation at the same time is judged. Based on the judgment result, the regulation rate of the energy storage power station is optimized; the maximum charge / discharge rate of the energy storage power station equipment is obtained, and the charge / discharge constraint condition of the energy storage power station's regulation rate is established, constraining the energy storage power station's regulation rate to always be less than or equal to the maximum charge / discharge rate of the energy storage power station equipment.

[0084] In this optional embodiment, the formula for calculating the step load amount is as follows: The formula for issuing the planned curve limiting the regulation rate to each energy storage power station until the cumulative value of the regulation rate of the energy storage power station equals the step load amount is:

[0085]

[0086] In the formula, V i The load command for the planned curve of the i-th energy storage power station; This represents the cumulative amount of the energy storage power station load command from the previous cycle; N represents the step load amount of the original planned curve; P e,i V represents the rated active power of the i-th energy storage power station. e,i,j Δt represents the load command increment for the i-th energy storage power station at the j-th minute; Δt is the sliding window time.

[0087] In this optional embodiment, when determining the relationship between the total regulating power of the energy storage power station and the maximum regulating rate of the thermal power unit participating in the grid area control deviation regulation at the same time, and optimizing the regulating rate of the energy storage power station based on the determination result, if the total regulating power of the energy storage power station is less than or equal to the maximum regulating rate of the thermal power unit participating in the grid area control deviation regulation at the same time, then a plan curve limiting the regulating rate is issued to each energy storage power station; if the total regulating power of the energy storage power station is greater than the maximum regulating rate of the thermal power unit participating in the grid area control deviation regulation at the same time, then the regulating rate of all energy storage power stations is reduced proportionally.

[0088] In this optional embodiment, when calculating the actual thermal power unit regulation rate based on the limited upper and lower limits of thermal power unit output, and dynamically adjusting the thermal power unit regulation rate by combining the status information of thermal power units participating in regional control deviation regulation to form thermal power unit output constraints, and further optimizing the regulation rate of the energy storage power station, the upper and lower limits of the output of thermal power units participating in regional control deviation regulation can be monitored periodically according to the issuance cycle of the planned curve. It can be determined whether the thermal power unit in the next issuance cycle has the active power regulation rate capability. If it does not have it, the regulation rate of the thermal power unit in the next issuance cycle is set to 0. If it does have it, the regulation rate of the thermal power unit in the current issuance cycle is maintained. Based on the operating status and coal quality of the thermal power unit, the unit status parameter factor of the thermal power unit is set, and the regulation rate of the thermal power unit is dynamically adjusted using the unit status parameter factor, which includes a fuel supply factor and a health status factor. The dynamically adjusted thermal power unit regulation rate is compared with the total regulation power of the energy storage power station at the same time to form thermal power unit output constraints, and the regulation rate of the energy storage power station is further optimized to obtain the final energy storage power station output for centralized dispatch.

[0089] In this optional embodiment, the calculation formula for dynamically adjusting the regulating rate of the thermal power unit using the unit state parameter factor is as follows:

[0090]

[0091] In the formula, To dynamically adjust the regulating rate of the thermal power unit; The regulation rate of thermal power unit i; α fuel For fuel supply factor; α health These are factors related to health status.

[0092] Figure 2 An embodiment of a centralized dispatch optimization system for energy storage power stations according to the present invention is shown.

[0093] In this optional embodiment, the centralized dispatch and optimization system for the energy storage power station includes:

[0094] The parameter acquisition module 201 is used to monitor the energy storage power station and the thermal power unit participating in the regional control deviation adjustment in real time according to the preset sliding window time, and obtain the parameters of the energy storage power station and the thermal power unit.

[0095] The optimization calculation module 203 is used to obtain the total regulation rate of the thermal power unit based on the parameters of the energy storage power station and the parameters of the thermal power unit, compare it with the total regulation rate of the energy storage power station after the energy storage power station has a limited rate, and combine it with the maximum charging / discharging rate constraint of the energy storage power station equipment to obtain the optimized regulation rate of the energy storage power station.

[0096] The prediction and judgment module 205 is used to calculate the actual adjustment rate of the thermal power unit based on the upper and lower limits of the thermal power unit's output, and dynamically adjust the adjustment rate of the thermal power unit by combining the status information of the thermal power unit participating in the regional control deviation adjustment, thereby forming the thermal power unit's output constraint and further optimizing the adjustment rate of the energy storage power station.

[0097] The scheduling and control module 207 is used to set the optimized and constrained adjustment rate of the energy storage power station as a control command, formulate the planning curve of each energy storage power station for the next moment based on the control result, and distribute the planning curve to each energy storage power station to perform response actions by allocating its own energy storage units.

[0098] In this optional embodiment, the sliding window time is consistent with the time interval between the dispatching agency's issuance cycle of the plan curve; the energy storage power station parameters include: energy storage power station state of charge, energy storage power station rated capacity, energy storage power station rated active power, and energy storage power station active power; the thermal power unit parameters include: thermal power unit active power, thermal power unit declared adjustment rate, unit equipment status, and unit fuel supply status.

[0099] In this optional embodiment, the optimization calculation module 203 includes: a rate limiting module (not shown in the figure), a matching optimization module (not shown in the figure), and a rate constraint module (not shown in the figure). The rate limiting module is used to issue a planned curve limiting the regulation rate to each energy storage power station based on the rated active power of the energy storage power station, until the cumulative regulation rate of the energy storage power station equals the step load. The matching optimization module is used to match the regulation rate of the energy storage power station with the regulation capacity of the thermal power units participating in the grid area control deviation regulation, determine the relationship between the total regulation power of the energy storage power station and the maximum regulation rate of the thermal power units participating in the grid area control deviation regulation at the same time, and optimize the regulation rate of the energy storage power station based on the determination result. The rate constraint module is used to obtain the maximum charge / discharge rate of the energy storage power station equipment, establish charge / discharge constraint conditions for the regulation rate of the energy storage power station, and constrain the regulation rate of the energy storage power station to always be less than or equal to the maximum charge / discharge rate of the energy storage power station equipment.

[0100] In this optional embodiment, the formula for calculating the step load amount is as follows: The formula for issuing the planned curve limiting the regulation rate to each energy storage power station until the cumulative value of the regulation rate of the energy storage power station equals the step load amount is:

[0101]

[0102] In the formula, V i The load command for the planned curve of the i-th energy storage power station; This represents the cumulative amount of the energy storage power station load command from the previous cycle; N represents the step load amount of the original planned curve; P e,i V represents the rated active power of the i-th energy storage power station. e,i,j Δt represents the load command increment for the i-th energy storage power station at the j-th minute; Δt is the sliding window time.

[0103] In this optional embodiment, the matching optimization module includes a constraint optimization module (not shown in the figure) and a reduction optimization module (not shown in the figure). The constraint optimization module is used to issue a planned curve for the constraint regulation rate to each energy storage station if, at the same time, the total regulation power of the energy storage station is less than or equal to the maximum regulation rate of the thermal power unit participating in the grid area control deviation regulation. The reduction optimization module is used to proportionally reduce the regulation rate of all energy storage stations if, at the same time, the total regulation power of the energy storage station is greater than the maximum regulation rate of the thermal power unit participating in the grid area control deviation regulation.

[0104] In this optional embodiment, the prediction and judgment module 205 includes: a rate prediction module (not shown in the figure), a dynamic adjustment module (not shown in the figure), and an output constraint module (not shown in the figure). The rate prediction module is used to periodically monitor the upper and lower limits of the output of thermal power units participating in regional control deviation adjustment according to the issuance cycle of the planned curve, and determine whether the thermal power unit in the next issuance cycle has the capability for active power regulation rate. If not, the regulation rate of the thermal power unit in the next issuance cycle is set to 0; if it does, the regulation rate of the thermal power unit in the current issuance cycle is maintained. The dynamic adjustment module is used to set unit state parameter factors of the thermal power unit based on the operating status and coal quality of the thermal power unit, and dynamically adjust the regulation rate of the thermal power unit using the unit state parameter factors. The unit state parameter factors include fuel supply factors and health status factors. The output constraint module is used to judge the dynamically adjusted regulation rate of the thermal power unit with the total regulation power of the energy storage power station at the same time to form a thermal power unit output constraint, further optimizing the regulation rate of the energy storage power station to obtain the final output of the energy storage power station for centralized dispatch.

[0105] In this optional embodiment, the calculation formula for dynamically adjusting the regulating rate of the thermal power unit using the unit state parameter factor is as follows:

[0106]

[0107] In the formula, To dynamically adjust the regulating rate of the thermal power unit; The regulation rate of thermal power unit i; α fuel For fuel supply factor; α health These are factors related to health status.

[0108] The following detailed description, in conjunction with specific embodiments and accompanying drawings, illustrates a centralized scheduling optimization method and system for energy storage power stations constructed according to the present invention.

[0109] First, for a centralized scheduling optimization method for energy storage power stations, such as Figure 4 As shown, this invention acquires and monitors key parameter information of an energy storage power station by setting a sliding window time Δt. The key parameters of the energy storage power station include: state of charge (SOC), rated capacity, rated active power (Pe), and active power. It also acquires and monitors key parameter information of thermal power units participating in ACE (Regional Control Deviation) regulation. These key parameters include: active power, declared regulation rate, unit equipment status, and unit fuel supply.

[0110] Specifically, the dispatching agency typically issues the planned curve at 15-minute intervals, totaling 96 points per day. To ensure that the monitoring data remains consistent with the planned curve, the sliding window time Δt is set to 15 minutes.

[0111] In the current spot market, centralized dispatch of energy storage power stations is typically issued using a step load command method. This means that when the grid executes a centralized dispatch of energy storage power stations, the planned load curves of each station are instantaneously superimposed with a step load change signal compared to the previous moment. If the grid's demand for centralized dispatch of energy storage power stations is high at this time, multiple energy storage power stations simultaneously receiving large step load change signals may cause step disturbances to the grid, leading to ACE exceeding limits and low-frequency oscillations.

[0112] To avoid grid disturbances caused by energy storage power station calls, and considering fairness, a rate limit is applied to the step load. Using the Pe (rated active power) of each energy storage power station as the standard, a limit plan curve of 2% Pe / min is issued to each station until the cumulative adjustment rate equals the step load. The specific formula is as follows:

[0113]

[0114] Among them, V i For the load command of the planned curve of the i-th energy storage power station, This represents the cumulative amount of the load command for the energy storage power station in the previous cycle, where N represents the step load amount of the original planned curve.

[0115] Furthermore, to prevent some energy storage stations from bearing excessive load, the regulation rate of the energy storage station cannot exceed its maximum charge / discharge rate. The constraint is as follows:

[0116]

[0117] in, This represents the maximum charge / discharge rate of the i-th energy storage power station.

[0118] A certain number of thermal power units participate in grid ACE regulation daily within a provincial power grid. To ensure that the regulation rate of energy storage power stations matches the grid's regulation capacity and avoid grid instability, the regulation rate of energy storage power stations should match the regulation capacity of thermal power units participating in grid ACE regulation with faster regulation rates. This includes the following aspects:

[0119] 1. If the total regulation rate of energy storage power stations in a province is less than or equal to the maximum active power regulation rate of thermal power units participating in the grid ACE regulation at the same time, a restriction plan curve of 2% Pe / min for regulation rate is issued to each energy storage power station.

[0120] 2. If, at any given moment, the total regulation rate of energy storage power stations in a province exceeds the maximum active power regulation rate participating in grid ACE regulation, then the regulation rates of all energy storage power stations will be proportionally reduced. The specific calculation formula is as follows:

[0121]

[0122] Among them, V i ′ represents the adjusted regulation rate of the energy storage power station, S total F represents the total regulation rate of energy storage power stations within the province. max This indicates the maximum regulation rate of thermal power units within a province.

[0123] This invention also considers that when thermal power units participate in ACE (Active Energy Regulation), their output limits are restricted, potentially leading to an inability to maintain an active power regulation rate consistently. Therefore, it introduces a method to determine the upper limit of output for thermal power units participating in ACE, taking into account that the dispatch plan curve is issued every 15 minutes, totaling 96 points per day. The output of each unit is monitored every 15 minutes to determine whether it has the capability for active power regulation in the next 15 minutes. If not, the active power regulation rate for that unit is set to 0 for the next 15-minute period. That is:

[0124] if P f,i >F i,max or P f,i <F i,min

[0125] in, P represents the regulation rate of thermal power unit i. f,i F represents the actual power of thermal power unit i. i,max F is the upper limit of the output of thermal power unit i. i,min This represents the lower limit of the output of thermal power unit i.

[0126] Furthermore, considering that the regulation capability of thermal power units can be limited by certain external factors (such as fuel supply and equipment maintenance), a unit state parameter factor is introduced to dynamically adjust the regulation rate.

[0127] Specifically, if the coal quality is poor or the unit is in the process of starting up / shutting down, its regulation rate will be limited. A fuel supply factor α is introduced. fuel :

[0128]

[0129] Specifically, if the thermal power unit is in normal operation, the regulation rate remains constant. If the unit malfunctions or requires maintenance, the regulation rate decreases accordingly. A health status factor α is introduced. health When the unit is operating normally, α health The value is 1. When a partial failure occurs in the unit (such as a failure of a single induced draft fan or a single coal mill, affecting only part of the unit's performance), α health It is 0.6. When the unit needs to be shut down to resolve a fault, α health It is 0.

[0130] Dynamic adjustment of thermal power unit regulation rate for:

[0131] To achieve the above objectives, the present invention also provides the following solution:

[0132] A centralized dispatch optimization system for energy storage power stations under a spot market includes:

[0133] The parameter acquisition module acquires and monitors key parameter information of the energy storage power station and the thermal power units participating in ACE regulation based on the sliding window time. The key parameters of the energy storage power station include: state of charge (SOC), rated capacity, rated active power (Pe), and active power. The key parameters of the thermal power units include: active power, declared regulation rate, equipment status, and fuel supply.

[0134] The optimization calculation module, connected to the parameter acquisition module, is used to calculate the optimized regulation rate of the energy storage power station based on key parameter information of the energy storage power station and the thermal power units participating in ACE regulation. A comparison is made between the total regulation rate of the thermal power units and the total regulation rate of the energy storage power station after rate limiting, and the corresponding optimized regulation rate of the energy storage power station is selected.

[0135] The prediction and judgment module, connected to both the parameter acquisition and optimization calculation modules, determines the final output of the energy storage power station for centralized dispatch based on key parameter information of the energy storage power station and the thermal power units participating in ACE regulation. It calculates the actual thermal power unit regulation rate based on the upper and lower limits of thermal power unit output. Furthermore, it dynamically adjusts the thermal power unit regulation rate based on the state information of the thermal power units participating in ACE regulation. Finally, it calculates the constrained energy storage power station regulation rate based on the dynamically adjusted total thermal power unit regulation rate.

[0136] The dispatch control module, along with the prediction and judgment module and the optimization calculation module, outputs the results constrained by the judgment unit and are sent as control commands to the control unit. The dispatch master station formulates the planning curves for each energy storage power station for the next time step based on the control results. The control system of each energy storage power station allocates each energy storage unit to perform response actions according to the planning curves, realizing centralized dispatch of energy storage power stations. After issuing the control commands for the current time step, the system proceeds to the acquisition and monitoring of key parameter information of each energy storage power station and the thermal power units participating in ACE for the next time step.

[0137] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 3 As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores static and dynamic information data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0138] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device to which the present invention is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0139] In addition, the present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0140] In addition, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0141] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0142] This invention is not limited to the structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this invention is limited only by the appended claims.

Claims

1. A centralized scheduling optimization method for energy storage power stations, characterized in that, include: According to the pre-set sliding window time, the energy storage power station and the thermal power unit participating in the regional control deviation adjustment are monitored in real time to obtain the parameters of the energy storage power station and the parameters of the thermal power unit. Based on the parameters of the energy storage power station and the parameters of the thermal power unit, the total regulation rate of the thermal power unit is obtained. The total regulation rate of the energy storage power station after the energy storage power station is limited is compared with the total regulation rate of the energy storage power station. Combined with the maximum charge / discharge rate constraint of the energy storage power station equipment, the optimized regulation rate of the energy storage power station is obtained. Based on the limitations of the upper and lower limits of thermal power unit output, the actual thermal power unit regulation rate is calculated. Combined with the status information of thermal power units participating in the regional control deviation adjustment, the thermal power unit regulation rate is dynamically adjusted to form a thermal power unit output constraint, and the regulation rate of the energy storage power station is further optimized. The optimized constraint adjustment rate of the energy storage power station is set as the control command. Based on the control results, the plan curve of each energy storage power station for the next moment is formulated. By issuing the plan curve, each energy storage power station allocates its own energy storage unit to perform the response action. The process of obtaining the total regulation rate of the thermal power unit based on the parameters of the energy storage power station and the parameters of the thermal power unit, comparing it with the total regulation rate of the energy storage power station after limiting the rate, and combining it with the maximum charge / discharge rate constraint of the energy storage power station equipment to obtain the optimized regulation rate of the energy storage power station includes: Using the rated active power of the energy storage power station as the standard, a plan curve limiting the regulation rate is issued to each energy storage power station until the cumulative value of the regulation rate of the energy storage power station equals the step load. The regulation rate of the energy storage power station is matched with the regulation capacity of the thermal power units participating in the regulation of the grid area control deviation. The relationship between the total regulation power of the energy storage power station and the maximum regulation rate of the thermal power units participating in the regulation of the grid area control deviation at the same time is determined. Based on the determination results, the regulation rate of the energy storage power station is optimized. Obtain the maximum charge / discharge rate of the energy storage power station equipment, establish charge / discharge constraints on the regulation rate of the energy storage power station, and constrain the regulation rate of the energy storage power station to always be less than or equal to the maximum charge / discharge rate of the energy storage power station equipment. The process of calculating the actual thermal power unit regulation rate based on the upper and lower limits of thermal power unit output, and dynamically adjusting the thermal power unit regulation rate by combining the status information of thermal power units participating in regional control deviation adjustment, thereby forming thermal power unit output constraints, and further optimizing the regulation rate of energy storage power stations includes: According to the planned curve issuance cycle, the upper and lower limits of the output of thermal power units participating in the regional control deviation adjustment are monitored regularly to determine whether the thermal power units in the next issuance cycle have the active power regulation rate capability. If they do not have it, the regulation rate of the thermal power unit in the next issuance cycle is set to 0. If they do have it, the regulation rate of the thermal power unit in the current issuance cycle is maintained. Based on the operating status and coal quality of the thermal power unit, the unit status parameter factor of the thermal power unit is set, and the adjustment rate of the thermal power unit is dynamically adjusted using the unit status parameter factor. The unit status parameter factor includes a fuel supply factor and a health status factor. The dynamically adjusted regulation rate of the thermal power unit is compared with the total regulation power of the energy storage power station at the same time to form the output constraint of the thermal power unit. The regulation rate of the energy storage power station is then optimized again to obtain the final output of the energy storage power station for centralized dispatch.

2. The centralized dispatch optimization method for energy storage power stations according to claim 1, characterized in that, The sliding window time is consistent with the time interval of the dispatching cycle of the plan curve issued by the dispatching agency; The parameters of the energy storage power station include: the state of charge of the energy storage power station, the rated capacity of the energy storage power station, the rated active power of the energy storage power station, and the active power of the energy storage power station; the parameters of the thermal power unit include: the active power of the thermal power unit, the regulation rate declared by the thermal power unit, the equipment status of the unit, and the fuel supply status of the unit.

3. The centralized dispatch optimization method for energy storage power stations according to claim 1, characterized in that, The formula for calculating the process of issuing a planned curve limiting the regulation rate to each energy storage power station until the cumulative value of the regulation rate of the energy storage power stations equals the step load is as follows: In the formula, V i The load command for the planned curve of the i-th energy storage power station; This represents the cumulative amount of the energy storage power station load command from the previous cycle; N represents the step load amount of the original planned curve; P e,i V represents the rated active power of the i-th energy storage power station. e,i,j Δt represents the load command increment for the i-th energy storage power station at the j-th minute; Δt is the sliding window time.

4. The centralized dispatch optimization method for energy storage power stations according to claim 1, characterized in that, The process of determining the relationship between the total regulating power of the energy storage power station and the maximum regulating rate of the thermal power units participating in the regional control deviation regulation of the power grid at the same time, and optimizing the regulating rate of the energy storage power station based on the determination results, includes: If, at any given moment, the total regulating power of the energy storage power station is less than or equal to the maximum regulating rate of the thermal power unit participating in the regional control deviation regulation of the power grid, then a plan curve limiting the regulating rate will be issued to each energy storage power station. If, at any given moment, the total regulating power of the energy storage power station is greater than the maximum regulating rate of the thermal power unit participating in the regional control deviation regulation of the power grid, then the regulating rate of all energy storage power stations will be reduced proportionally.

5. The centralized dispatch optimization method for energy storage power stations according to claim 1, characterized in that, The calculation formula for dynamically adjusting the regulating rate of the thermal power unit using the unit state parameter factor is as follows: In the formula, To dynamically adjust the regulating rate of the thermal power unit; The regulation rate of thermal power unit i; α fuel For fuel supply factor; α health These are factors related to health status.

6. A centralized dispatch and optimization system for energy storage power stations, characterized in that, include: The parameter acquisition module is used to monitor the energy storage power station and the thermal power unit participating in the regional control deviation adjustment in real time according to the preset sliding window time, and obtain the parameters of the energy storage power station and the thermal power unit. The optimization calculation module is used to obtain the total regulation rate of the thermal power unit based on the parameters of the energy storage power station and the parameters of the thermal power unit, compare it with the total regulation rate of the energy storage power station after the energy storage power station has a limited rate, and combine it with the maximum charging / discharging rate constraint of the energy storage power station equipment to obtain the optimized regulation rate of the energy storage power station. The prediction and judgment module is used to calculate the actual adjustment rate of thermal power units based on the upper and lower limits of thermal power unit output. Combined with the status information of thermal power units participating in regional control deviation adjustment, the adjustment rate of thermal power units is dynamically adjusted to form thermal power unit output constraints and further optimize the adjustment rate of energy storage power stations. The scheduling and control module is used to set the adjustment rate of the optimized energy storage power station as a control command, formulate the planning curve of each energy storage power station for the next moment based on the control result, and distribute the planning curve to each energy storage power station to perform response actions by allocating its own energy storage units. The optimization calculation module includes: a rate limiting module, a matching optimization module, and a rate constraint module, wherein... The rate limiting module is used to issue a planned curve for limiting the adjustment rate to each energy storage power station based on the rated active power of the energy storage power station, until the cumulative value of the adjustment rate of the energy storage power station equals the step load. The matching optimization module is used to match the regulation rate of the energy storage power station with the regulation capacity of the thermal power units participating in the regulation of the grid area control deviation, determine the relationship between the total regulation power of the energy storage power station and the maximum regulation rate of the thermal power units participating in the regulation of the grid area control deviation at the same time, and optimize the regulation rate of the energy storage power station based on the determination result. The rate constraint module is used to obtain the maximum charge / discharge rate of the energy storage power station equipment, establish charge / discharge constraint conditions for the energy storage power station regulation rate, and constrain the energy storage power station regulation rate to always be less than or equal to the maximum charge / discharge rate of the energy storage power station equipment. The prediction and judgment module includes: a rate prediction module, a dynamic adjustment module, and an output constraint module, wherein... The rate prediction module is used to periodically monitor the upper and lower limits of the output of thermal power units participating in the regional control deviation adjustment according to the issuance cycle of the planned curve, and determine whether the thermal power unit in the next issuance cycle has the active power adjustment rate capability. If it does not have the capability, the adjustment rate of the thermal power unit in the next issuance cycle is set to 0. If it does have the capability, the adjustment rate of the thermal power unit in the current issuance cycle is maintained. The dynamic adjustment module is used to set the unit status parameter factors of the thermal power unit based on the operating status and coal quality of the thermal power unit, and to dynamically adjust the adjustment rate of the thermal power unit using the unit status parameter factors. The unit status parameter factors include fuel supply factors and health status factors. The output constraint module is used to judge the dynamically adjusted regulation rate of the thermal power unit and the total regulation power of the energy storage power station at the same time to form the output constraint of the thermal power unit, and further optimize the regulation rate of the energy storage power station to obtain the final output of the energy storage power station for centralized dispatch.

7. The centralized dispatch and optimization system for energy storage power stations according to claim 6, characterized in that, The sliding window time is consistent with the time interval of the dispatching cycle of the plan curve issued by the dispatching agency; The parameters of the energy storage power station include: the state of charge of the energy storage power station, the rated capacity of the energy storage power station, the rated active power of the energy storage power station, and the active power of the energy storage power station; the parameters of the thermal power unit include: the active power of the thermal power unit, the regulation rate declared by the thermal power unit, the equipment status of the unit, and the fuel supply status of the unit.

8. The centralized dispatch and optimization system for energy storage power stations according to claim 6, characterized in that, The formula for calculating the process of issuing a planned curve limiting the regulation rate to each energy storage power station until the cumulative value of the regulation rate of the energy storage power stations equals the step load is as follows: In the formula, V i The load command for the planned curve of the i-th energy storage power station; This represents the cumulative amount of the energy storage power station load command from the previous cycle; N represents the step load amount of the original planned curve; P e,i V represents the rated active power of the i-th energy storage power station. e,i,j Δt represents the load command increment for the i-th energy storage power station at the j-th minute; Δt is the sliding window time.

9. The centralized dispatch and optimization system for energy storage power stations according to claim 6, characterized in that, The matching optimization module includes: a constraint optimization module and a narrowing optimization module, wherein... The limiting optimization module is used to issue a plan curve for limiting the regulation rate to each energy storage station if, at the same time, the total regulating power of the energy storage station is less than or equal to the maximum regulating rate of the thermal power unit participating in the regional control deviation regulation of the power grid. The reduction and optimization module is used to proportionally reduce the regulation rate of all energy storage power stations if, at the same time, the total regulation power of the energy storage power station is greater than the maximum regulation rate of the thermal power unit participating in the regional control deviation regulation of the power grid.

10. The centralized dispatch and optimization system for energy storage power stations according to claim 9, characterized in that, The calculation formula for dynamically adjusting the regulating rate of the thermal power unit using the unit state parameter factor is as follows: In the formula, To dynamically adjust the regulating rate of the thermal power unit; The regulation rate of thermal power unit i; α fuel For fuel supply factor; α health These are factors related to health status.

11. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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