Energy storage power station centralized scheduling optimization method, system, equipment and medium

Abstract

The invention belongs to the technical field of energy storage regulation and control, and discloses an energy storage power station centralized scheduling optimization method, system, equipment and medium, and the method comprises the steps: monitoring an energy storage power station and a thermal power generating unit participating in regional control deviation adjustment in real time according to the preset sliding window time, and obtaining the parameters of the energy storage power station and the parameters of the thermal power generating unit; based on the parameters of the energy storage power station and the parameters of the thermal power generating unit, the total regulation rate of the thermal power generating unit is obtained and judged with the total regulation rate of the energy storage power station after the rate of the energy storage power station is limited, and the optimized regulation rate of the energy storage power station is obtained in combination with the maximum charging / discharging rate constraint of energy storage power station equipment. The impact of centralized calling of the energy storage power stations on the operation stability of the power grid can be remarkably reduced, and the coordination efficiency of the thermal power generating unit and the energy storage power stations is improved; meanwhile, fairness and flexibility are considered in the distribution mechanism, the real-time scheduling requirement of the spot market is met, and efficient application of the energy storage technology in the power grid is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage regulation and control, and in particular to a method, system, equipment and medium for centralized dispatching optimization of energy storage power stations. Background Art

[0002] In the current new energy power system, the scale of new energy storage installed capacity is growing rapidly. The high proportion of new energy grid connection has led to increasingly tight grid flexibility regulation resources and a continuous decline in the system's dynamic regulation capabilities. Facing the difficulties and challenges of building a new power system, energy storage power stations, as emerging grid-connected entities, must meet the dynamic regulation capabilities of grid frequency regulation, peak regulation, and emergency power support.

[0003] For peak load regulation scenarios, most provincial power grids currently use centralized calling to regulate the energy storage power stations participating in the spot market to perform centralized charging and discharging according to the planned curve. The calling strategy of the planned curve is step-type, that is, each energy storage power station will receive a step load change signal when it needs to change its output. When multiple energy storage power stations respond to multiple step power signals at the same time, a step disturbance is generated in the provincial power grid, which may cause the power grid ACE (area control deviation) to exceed the limit and low-frequency oscillation. To avoid this situation, it is necessary to optimize the centralized calling of energy storage power stations in the spot market to ensure that the calling of energy storage power stations is fair, accurate, and efficient, while ensuring the safety and stability of the power grid.

[0004] Therefore, how to provide a centralized dispatch optimization method, system, equipment and medium for energy storage power stations is a problem that needs to be solved urgently. Summary of the invention

[0005] The embodiments of the present invention provide a method, system, device and medium for centralized scheduling optimization of energy storage power stations to solve the above-mentioned technical problems existing in the prior art.

[0006] In order to have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended to be a general review, nor is it intended to identify key / important components or to delineate the scope of protection of these embodiments. Its only purpose is to present some concepts in a simple form as a preface to the detailed description that follows.

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

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

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

[0010] Based on the parameters of the energy storage power station and the thermal power unit, the total regulation rate of the thermal power unit is obtained, and the total regulation rate of the energy storage power station after the energy storage power station is limited is judged, and the maximum charge / discharge rate constraint of the energy storage power station equipment is combined to obtain the optimized regulation rate of the energy storage power station;

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

[0012] The energy storage power station regulation rate after optimization constraints is set as a control instruction, and the planning curve of each energy storage power station at the next moment is formulated according to the control result. By issuing the planning curve, each energy storage power station allocates its own energy storage unit to execute the response action.

[0013] In one embodiment, the sliding window time is consistent with the time interval of the dispatching cycle of the scheduling mechanism to send the plan curve;

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

[0015] In one embodiment, based on the energy storage power station parameters and the thermal power unit parameters, the total regulation rate of the thermal power unit is obtained, and the total regulation rate of the energy storage power station after the energy storage power station rate is limited is judged, and the maximum charge / discharge rate constraint of the energy storage power station equipment is combined to obtain the optimized energy storage power station regulation rate, which includes:

[0016] Based on the rated active power of the energy storage power station, a planning curve for limiting the regulation rate is issued to each energy storage power station until the accumulated value of the regulation rate of the energy storage power station is equal to the step load;

[0017] Match the regulation rate of the energy storage power station with the regulation capacity of the thermal power units participating in the regional control deviation regulation of the power grid, 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 regional control deviation regulation of the power grid at the same time, and optimize the regulation rate of the energy storage power station based on the determination result;

[0018] The maximum charge / discharge rate of the energy storage power station equipment is obtained, and the charge / discharge constraint conditions of the energy storage power station regulation rate are established to 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.

[0019] In one embodiment, the calculation formula for sending the planned curve for limiting the regulation rate to each energy storage power station until the accumulated value of the regulation rate of the energy storage power station is equal to the step load is:

[0020]

[0021] Where V i is the load instruction of the planned curve of the i-th energy storage power station; is the accumulated amount of the energy storage power station load instruction in the previous cycle; N represents the step load of the original planned curve; P e,i is the rated active power of the i-th energy storage power station; V e,i,j is the load instruction increment of the i-th energy storage power station in the j-th minute; Δt is the sliding window time.

[0022] In one embodiment, 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 control deviation regulation of the power grid area is determined at the same time, and according to the determination result, the regulation rate of the energy storage power station is optimized, including:

[0023] If at the same time, the total regulation power of the energy storage power station is less than or equal to the maximum regulation rate of the thermal power units participating in the regional control deviation regulation of the power grid, a planning curve for limiting the regulation rate will be issued to each energy storage power station;

[0024] 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 units participating in the regional control deviation regulation of the power grid, the regulation rates of all energy storage power stations will be reduced proportionally.

[0025] In one embodiment, based on the upper and lower limits of the output of the thermal power unit, the actual thermal power unit regulation rate is calculated, and the thermal power unit regulation rate is dynamically adjusted in combination with the state information of the thermal power unit participating in the regional control deviation adjustment to form the output constraint of the thermal power unit, and the regulation rate of the energy storage power station is optimized again, including:

[0026] According to the delivery cycle of the plan curve, the upper and lower limits of the output of the thermal power units participating in the regional control deviation adjustment are regularly monitored to determine whether the thermal power units in the next delivery cycle have the ability to adjust the active power rate. If not, the adjustment rate of the thermal power units in the next delivery cycle is set to 0; if so, the adjustment rate of the thermal power units in the current delivery cycle is maintained;

[0027] Based on the operating status and coal quality of the thermal power unit, a unit state parameter factor of the thermal power unit is set, and the regulation rate of the thermal power unit is dynamically adjusted using the unit state parameter factor, and the unit state parameter factor includes a fuel supply factor and a health state 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 optimized again to obtain the output of the energy storage power station for centralized dispatching.

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

[0030]

[0031] In the formula, To dynamically adjust the rate of thermal power units; The regulation rate of thermal power unit i; α fuel is the fuel supply factor; α health is the health status factor.

[0032] According to a second aspect of an embodiment of the present invention, a centralized dispatching and optimizing system for an energy storage power station is provided.

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

[0034] The parameter acquisition module is used to monitor the energy storage power station and the thermal power units 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] An optimization operation module is used to obtain the total regulation rate of the thermal power unit based on the energy storage power station parameters and the thermal power unit parameters, and to judge the total regulation rate of the energy storage power station after the energy storage power station limits the rate, and to obtain the optimized regulation rate of the energy storage power station in combination with the maximum charge / discharge rate constraint of the energy storage power station equipment;

[0036] The prediction and judgment module is used to calculate the actual regulation rate of the thermal power unit based on the upper and lower limits of the thermal power unit output, and dynamically adjust the regulation rate of the thermal power unit in combination with the state information of the thermal power unit participating in the regional control deviation adjustment, so as to form the output constraint of the thermal power unit and optimize the regulation rate of the energy storage power station again;

[0037] The dispatching control module is used to set the regulation rate of the energy storage power station after optimization constraints as a control instruction, formulate the planning curve of each energy storage power station at the next moment according to the control result, and by issuing the planning curve, each energy storage power station allocates its own energy storage unit to execute the response action.

[0038] In one embodiment, the sliding window time is consistent with the time interval of the dispatching cycle of the scheduling mechanism to send the plan curve;

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

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

[0041] The rate limiting module is used to send a planned curve for limiting the regulation rate to each energy storage power station based on the rated active power of the energy storage power station, until the accumulated value of the regulation rate of the energy storage power station is equal to 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 regional control deviation regulation of the power grid, 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 regional control deviation regulation of the power grid at the same time, and optimize the regulation rate of the energy storage power station according to 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 the charge / discharge constraint conditions of 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 calculation formula for sending the planned curve for limiting the regulation rate to each energy storage power station until the accumulated value of the regulation rate of the energy storage power station is equal to the step load is:

[0045]

[0046] Where V i is the load instruction of the planned curve of the i-th energy storage power station; is the accumulated amount of the energy storage power station load instruction in the previous cycle; N represents the step load of the original planned curve; P e,i is the rated active power of the i-th energy storage power station; V e,i,j is the load instruction increment of the i-th energy storage power station in the j-th minute; Δt is the sliding window time.

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

[0048] The restriction optimization module is used to send a planned curve for limiting the regulation rate to each energy storage power station if the total regulation power of the energy storage power station is less than or equal to the maximum regulation rate of the thermal power units participating in the control deviation regulation of the power grid area at the same time;

[0049] The reduction optimization module is used to proportionally reduce the regulation rates of all energy storage power stations if, at the same moment, the total regulation power of the energy storage power station is greater than the maximum regulation rate of the thermal power units 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 regularly monitor the upper and lower limits of the output of the thermal power units participating in the regional control deviation adjustment according to the delivery cycle of the plan curve, and determine whether the thermal power units in the next delivery cycle have the ability to adjust the active rate. If not, the adjustment rate of the thermal power units in the next delivery cycle is set to 0; if so, the adjustment rate of the thermal power units in the current delivery cycle is maintained;

[0052] The dynamic adjustment module is used to set the unit state parameter factor of the thermal power unit based on the operating state and coal quality of the thermal power unit, and dynamically adjust the regulation rate of the thermal power unit using the unit state parameter factor, and the unit state parameter factor includes a fuel supply factor and a health state factor;

[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, optimize the regulation rate of the energy storage power station again, and obtain the energy storage power station output finally used for centralized scheduling.

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

[0055]

[0056] In the formula, To dynamically adjust the rate of thermal power units; The regulation rate of thermal power unit i; α fuel is the fuel supply factor; α health is the health status factor.

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

[0058] In some embodiments, the computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

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

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

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

[0062] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The accompanying drawings, which are incorporated in and constitute a 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 is a flow chart of a centralized dispatch optimization method for an energy storage power station according to an exemplary embodiment;

[0065] Figure 2 is a structural schematic diagram of a centralized dispatching optimization system for an energy storage power station according to an exemplary embodiment;

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

[0067] Figure 4 It is a control process diagram of a centralized dispatch optimization method for an energy storage power station according to an exemplary embodiment. DETAILED DESCRIPTION

[0068] The following description and accompanying drawings fully illustrate the specific embodiments of this article so that those skilled in the art can practice them. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. The scope of the embodiments of this article includes the entire scope of the claims, as well as all available equivalents of the claims. Herein, the terms "first", "second", etc. are only used to distinguish one element from another, without requiring or implying any actual relationship or order between these elements. In fact, the first element can also be called the second element, and vice versa. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the structure, device or equipment including a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also include elements inherent to such structure, device or equipment. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the structure, device or equipment including the elements. Each embodiment is described in a progressive manner herein, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the embodiments can be referred to each other.

[0069] The terms "longitudinal", "lateral", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. in this document indicate the orientation or position relationship based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing this document and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In the description of this document, unless otherwise specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a mechanical connection or an electrical connection, it can also be the internal communication of two elements, it can be a direct connection, or it can be an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0070] As used herein, the term "plurality" means two or more than two, unless otherwise specified.

[0071] In this document, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0072] In this article, the term "and / or" is a description of the association relationship between objects, indicating that three relationships may exist. For example, A and / or B means: A or B, or, A and B.

[0073] It should be understood that, although the various steps in the flow chart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0074] Each module in the device or system of the present application can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above modules.

[0075] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0076] Figure 1 An embodiment of a centralized dispatch optimization method for an energy storage power station of the present invention is shown.

[0077] In this optional embodiment, the energy storage power station centralized dispatch optimization method includes:

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

[0079] Step S103, based on the energy storage power station parameters and the thermal power unit parameters, the total regulation rate of the thermal power unit is obtained, and the total regulation rate of the energy storage power station after the energy storage power station rate is limited is judged, and the maximum charge / discharge rate constraint of the energy storage power station equipment is combined 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 the thermal power units, the actual thermal power unit regulation rate is calculated, and the thermal power unit regulation rate is dynamically adjusted in combination with the state information of the thermal power units participating in the regional control deviation adjustment to form the output constraints of the thermal power units, and the regulation rate of the energy storage power station is optimized again;

[0081] Step S107, setting the energy storage power station regulation rate after optimization constraints as a control instruction, formulating the plan curve of each energy storage power station at the next moment according to the control result, and by issuing the plan curve, each energy storage power station allocates its own energy storage unit to execute a response action.

[0082] In this optional embodiment, the sliding window time is consistent with the time interval of the issuance cycle of the scheduling agency's issuance of the planning curve; the energy storage power station parameters include: the charge state 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 thermal power unit parameters include: the active power of the thermal power unit, the regulation rate reported by the thermal power unit, the unit equipment status and the unit fuel supply situation.

[0083] In this optional embodiment, when the total regulation rate of the thermal power units is obtained based on the energy storage power station parameters and the thermal power unit parameters, and the total regulation rate of the energy storage power station after the energy storage power station is limited is judged, 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 energy storage power station rated active power of the energy storage power station can be used as the standard to issue a plan curve for limiting the regulation rate to each energy storage power station until the accumulated value of the regulation rate of the energy storage power station is equal to 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 regional control deviation regulation of the power grid, 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 regional control deviation regulation of the power grid at the same time is judged, and the regulation rate of the energy storage power station is optimized according to the judgment result; the maximum charge / discharge rate of the energy storage power station equipment is obtained, and the charge and discharge constraint conditions of the regulation rate of the energy storage power station are established to 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.

[0084] In this optional embodiment, the calculation formula for sending the planned curve for limiting the regulation rate to each energy storage power station until the accumulated value of the regulation rate of the energy storage power station is equal to the step load is:

[0085]

[0086] Where V i is the load instruction of the planned curve of the i-th energy storage power station; is the accumulated amount of the energy storage power station load instruction in the previous cycle; N represents the step load of the original planned curve; P e,i is the rated active power of the i-th energy storage power station; V e,i,j is the load instruction increment of the i-th energy storage power station in the j-th minute; Δt is the sliding window time.

[0087] In this optional embodiment, 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 regional control deviation regulation of the power grid at the same time is judged. According to the judgment result, when optimizing the regulation rate of the energy storage power station, if at the same time, the total regulation power of the energy storage power station is less than or equal to the maximum regulation rate of the thermal power units participating in the regional control deviation regulation of the power grid, a planned curve for limiting the regulation rate is issued to each energy storage power station; 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 units participating in the regional control deviation regulation of the power grid, the regulation rates of all energy storage power stations are proportionally reduced.

[0088] In this optional embodiment, based on the upper and lower limits of the output of the thermal power unit, the actual thermal power unit regulation rate is calculated, and the thermal power unit regulation rate is dynamically adjusted in combination with the state information of the thermal power unit participating in the regional control deviation regulation to form the output constraint of the thermal power unit. When the regulation rate of the energy storage power station is optimized again, the upper and lower limits of the output of the thermal power units participating in the regional control deviation regulation can be regularly monitored according to the issuance cycle of the plan curve to determine whether the thermal power units in the next issuance cycle have the ability to regulate the active power rate. If not, the regulation rate of the thermal power unit in the next issuance cycle is adjusted. The rate is set to 0. If available, the regulation rate of the current sending cycle of the thermal power unit is maintained; based on the operating status and coal quality of the thermal power unit, the unit state parameter factor of the thermal power unit is set, and the regulation rate of the thermal power unit is dynamically adjusted using the unit state parameter factor, and the unit state parameter factor includes a fuel supply factor and a health status factor; the dynamically adjusted regulation rate of the thermal power unit is judged against 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 the regulation rate of the energy storage power station is optimized again to obtain the output of the energy storage power station finally used for centralized scheduling.

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

[0090]

[0091] In the formula, To dynamically adjust the rate of thermal power units; The regulation rate of thermal power unit i; α fuel is the fuel supply factor; α health is the health status factor.

[0092] Figure 2 An embodiment of a centralized dispatching optimization system for an energy storage power station of the present invention is shown.

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

[0094] The parameter acquisition module 201 is used to monitor the energy storage power station and the thermal power units 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 operation module 203 is used to obtain the total regulation rate of the thermal power unit based on the energy storage power station parameters and the thermal power unit parameters, and to judge the total regulation rate of the energy storage power station after the energy storage power station limits the rate, and to obtain the optimized regulation rate of the energy storage power station in combination with the maximum charge / discharge rate constraint of the energy storage power station equipment;

[0096] The prediction and judgment module 205 is used to calculate the actual regulation rate of the thermal power unit based on the upper and lower limits of the thermal power unit output, dynamically adjust the regulation rate of the thermal power unit in combination with the state information of the thermal power unit participating in the regional control deviation adjustment, form the output constraint of the thermal power unit, and optimize the regulation rate of the energy storage power station again;

[0097] The dispatching control module 207 is used to set the energy storage power station regulation rate after optimization constraints as a control instruction, formulate the planning curve of each energy storage power station at the next moment according to the control result, and by issuing the planning curve, each energy storage power station allocates its own energy storage unit to execute the response action.

[0098] In this optional embodiment, the sliding window time is consistent with the time interval of the issuance cycle of the scheduling agency's issuance of the planning curve; the energy storage power station parameters include: the charge state 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 thermal power unit parameters include: the active power of the thermal power unit, the regulation rate reported by the thermal power unit, the unit equipment status and the unit fuel supply situation.

[0099] In this optional embodiment, the optimization operation 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), wherein the rate limiting module is used to issue a plan curve for limiting the regulation rate to each energy storage power station based on the rated active power of the energy storage power station, until the accumulated value of the regulation rate of the energy storage power station is equal to 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 regional control deviation regulation of the power grid, judge 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 regional control deviation regulation of the power grid at the same time, and optimize the regulation rate of the energy storage power station according to the judgment result; the rate constraint module is used to obtain the maximum charge / discharge rate of the energy storage power station equipment, establish the charge and discharge constraint conditions of 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 calculation formula for sending the planned curve for limiting the regulation rate to each energy storage power station until the accumulated value of the regulation rate of the energy storage power station is equal to the step load is:

[0101]

[0102] Where V i is the load instruction of the planned curve of the i-th energy storage power station; is the accumulated amount of the energy storage power station load instruction in the previous cycle; N represents the step load of the original planned curve; P e,i is the rated active power of the i-th energy storage power station; V e,i,j is the load instruction increment of the i-th energy storage power station in the j-th minute; Δt is the sliding window time.

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

[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), wherein the rate prediction module is used to regularly monitor the output upper and lower limits of the thermal power units participating in the regional control deviation adjustment according to the issuance cycle of the plan curve, and determine whether the thermal power units in the next issuance cycle have the ability to adjust the active rate. If not, the adjustment rate of the thermal power unit in the next issuance cycle is set to 0; if it is, 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 state parameter factor of the thermal power unit based on the operating status and coal quality of the thermal power unit, and dynamically adjust the adjustment rate of the thermal power unit using the unit state parameter factor, and the unit state parameter factor includes a fuel supply factor and a health status factor; the output constraint module is used to judge the dynamically adjusted thermal power unit adjustment rate with the total adjustment power of the energy storage power station at the same time, form the output constraint of the thermal power unit, optimize the energy storage power station adjustment rate again, and obtain the energy storage power station output finally used for centralized scheduling.

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

[0106]

[0107] In the formula, To dynamically adjust the rate of thermal power units; The regulation rate of thermal power unit i; α fuel is the fuel supply factor; α health is the health status factor.

[0108] The following is a detailed description of a centralized dispatch optimization method and system for energy storage power stations constructed by the present invention in conjunction with specific embodiments and drawings.

[0109] First, for a centralized dispatch optimization method of energy storage power stations, such as Figure 4 As shown, the present invention obtains and monitors the key parameter information of the energy storage power station by setting the sliding window time Δt; the key parameters of the energy storage power station include: the state of charge (SOC) of the energy storage power station, the rated capacity of the energy storage power station, the rated active power (Pe) of the energy storage power station, and the active power of the energy storage power station. The key parameter information of the thermal power unit participating in the ACE (area control deviation) regulation is obtained and monitored; the key parameters of the thermal power unit include: the active power of the thermal power unit, the regulation rate reported by the thermal power unit, the equipment status of the unit, and the fuel supply of the unit.

[0110] Specifically, the dispatching agency usually issues a plan curve every 15 minutes, 96 points a day. To ensure that the monitoring data is consistent with the plan curve, the sliding window time Δt is set to 15 minutes.

[0111] In the current spot market, the centralized call of energy storage power stations is usually issued in the form of step load instructions. That is, when the power grid executes the centralized call of energy storage power stations, the planning curve of each energy storage power station is instantly superimposed with a step load change signal compared to the previous moment. If the power grid has a large demand for centralized call of energy storage power stations at this time, multiple energy storage power stations will receive large step load change signals at the same time, which may cause step disturbances to the power grid, causing the power grid ACE to exceed the limit and low-frequency oscillation.

[0112] In order to avoid disturbances to the power grid caused by the call of energy storage power stations, and considering fairness, the step load is rate-limited. Taking the Pe (rated active power of the energy storage power station) of each energy storage power station as the standard, a restriction plan curve with a regulation rate of 2% Pe / min is issued to each energy storage power station until the accumulated value of the regulation rate is equal to the step load. The specific formula is:

[0113]

[0114] Among them, V i is the load instruction of the planned curve of the i-th energy storage power station, It is the accumulated amount of the energy storage power station load instruction in the previous cycle, and N represents the step load of the original planned curve.

[0115] In addition, in order to prevent some energy storage power stations from taking on too much load, the regulation rate of the energy storage power station cannot exceed the maximum charge / discharge rate of its equipment. The constraints are:

[0116]

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

[0118] A certain number of thermal power units in the provincial power grid participate in the ACE regulation of the power grid every day. To ensure that the regulation rate of the energy storage power station matches the regulation capacity of the power grid and avoid grid instability, the regulation rate of the energy storage power station should match the regulation capacity of the thermal power units with faster regulation rates participating in the ACE regulation of the power grid, including the following aspects:

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

[0120] 2. If the total regulation rate of energy storage power stations in the province at the same time is greater than the maximum active regulation rate of the ACE regulation of the participating power grid, the regulation rates of all energy storage power stations will be reduced in proportion. The specific calculation formula is:

[0121]

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

[0123] The present invention also takes into account that when a thermal power unit participates in ACE, the upper and lower limits of the unit output are limited, and there may be a situation where the active power regulation rate cannot be maintained all the time. The upper limit of the output of the thermal power unit participating in ACE is introduced, considering that the scheduling plan curve is issued every 15 minutes, with 96 points per day. The output of each unit is monitored every 15 minutes to determine whether it has the ability to regulate the active power rate in the next 15 minutes. If not, the active power regulation rate of the unit in the next 15-minute period is set to 0. That is:

[0124]

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

[0126] In addition, considering that the regulation capacity of thermal power units is limited by certain external factors (such as fuel supply, equipment maintenance, etc.), the 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 / shutdown, its adjustment rate will be limited. Introducing the fuel supply factor α fuel :

[0128]

[0129] Specifically, if the thermal power unit is in normal operation, the regulation rate remains unchanged. If the unit fails or needs maintenance, the regulation rate decreases accordingly. health When the unit is operating normally, α health is 1. When a part of the unit fails (such as a single induced draft fan failure or a single coal mill failure, which only affects the performance of part of the unit), α health is 0.6. When the unit needs to shut down to solve the fault, α health is 0.

[0130] Dynamically adjusted thermal power unit regulation rate for:

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

[0132] A centralized call optimization system for energy storage power stations in a spot market, comprising:

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

[0134] The optimization operation module is connected to the parameter acquisition module and is used to calculate the optimized energy storage power station regulation rate according to the key parameter information of the energy storage power station and the thermal power units participating in the ACE regulation. According to the total regulation rate of the thermal power units and the total regulation rate after the energy storage power station is limited, the corresponding optimized energy storage power station regulation rate is selected.

[0135] The prediction and judgment module is connected to the parameter acquisition module and the optimization operation module respectively, and is used to determine the output of the energy storage power station for centralized call based on the key parameter information of the energy storage power station and the thermal power units participating in ACE regulation. According to the upper and lower limits of the output of the thermal power units, the actual thermal power unit regulation rate is calculated. Furthermore, based on the state information of the thermal power units participating in ACE regulation, the regulation rate of the thermal power units is dynamically adjusted. Finally, according to the total regulation rate of the thermal power units after dynamic adjustment, the regulation rate of the constrained energy storage power station is calculated.

[0136] The dispatching control module, the prediction and judgment module, and the optimization operation module output the output after the constraint of the judgment unit as the control instruction to the control unit, and the dispatching master station formulates the plan curve of each energy storage power station at the next moment according to the control result. The control system of each energy storage power station allocates each energy storage unit to respond according to the plan curve to realize the centralized call of the energy storage power station; after completing the issuance of the control instruction at the current moment, it enters the acquisition and monitoring of the key parameter information of each energy storage power station and the thermal power units participating in ACE at the next moment.

[0137] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store static information and dynamic information data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in the above method embodiment are implemented.

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

[0139] In addition, the present invention also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiment when executing the computer program.

[0140] In addition, the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiment are implemented.

[0141] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present 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 memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0142] The present invention is not limited to the structures which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A centralized dispatch optimization method for energy storage power stations, characterized in that: include: According to the preset sliding window time, the energy storage power station and the thermal power units participating in the regional control deviation adjustment are monitored in real time to obtain the parameters of the energy storage power station and the thermal power unit; Based on the parameters of the energy storage power station and the thermal power unit, the total regulation rate of the thermal power unit is obtained, and the total regulation rate of the energy storage power station after the energy storage power station is limited is judged, and the maximum charge / discharge rate constraint of the energy storage power station equipment is combined to obtain the optimized regulation rate of the energy storage power station; Based on the upper and lower limits of the thermal power unit output, the actual thermal power unit regulation rate is calculated. Combined with the status information of the thermal power units participating in the regional control deviation adjustment, the thermal power unit regulation rate is dynamically adjusted to form the thermal power unit output constraint and further optimize the energy storage power station regulation rate. The energy storage power station regulation rate after optimization constraints is set as a control instruction, and the planning curve of each energy storage power station at the next moment is formulated according to the control result. By issuing the planning curve, each energy storage power station allocates its own energy storage unit to execute the response action.

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

3. The method for centralized dispatching and optimizing the energy storage power station according to claim 1, characterized in that: Based on the energy storage power station parameters and the thermal power unit parameters, the total regulation rate of the thermal power unit is obtained, and the total regulation rate of the energy storage power station after the energy storage power station rate is limited is judged, and the maximum charge / discharge rate constraint of the energy storage power station equipment is combined to obtain the optimized energy storage power station regulation rate, which includes: Based on the rated active power of the energy storage power station, a planning curve for limiting the regulation rate is issued to each energy storage power station until the accumulated value of the regulation rate of the energy storage power station is equal to the step load; Match the regulation rate of the energy storage power station with the regulation capacity of the thermal power units participating in the regional control deviation regulation of the power grid, 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 regional control deviation regulation of the power grid at the same time, and optimize the regulation rate of the energy storage power station based on the determination result; The maximum charge / discharge rate of the energy storage power station equipment is obtained, and the charge / discharge constraint conditions of the energy storage power station regulation rate are established to 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.

4. The method for centralized dispatching and optimizing the energy storage power station according to claim 3 is characterized in that: The calculation formula for sending the planned curve for limiting the regulation rate to each energy storage power station until the accumulated value of the regulation rate of the energy storage power station is equal to the step load is: Where V i is the load instruction of the planned curve of the i-th energy storage power station; is the accumulated amount of the energy storage power station load instruction in the previous cycle; N represents the step load of the original planned curve; P e,i is the rated active power of the i-th energy storage power station; V e,i,j is the load instruction increment of the i-th energy storage power station in the j-th minute; Δt is the sliding window time.

5. The method for centralized dispatching and optimizing the energy storage power station according to claim 3, characterized in that: 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 regional control deviation regulation of the power grid is determined at the same time, and according to the determination result, the regulation rate of the energy storage power station is optimized, including: If at the same time, the total regulation power of the energy storage power station is less than or equal to the maximum regulation rate of the thermal power units participating in the regional control deviation regulation of the power grid, a planning curve for limiting the regulation rate will be issued to each energy storage power station; 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 units participating in the regional control deviation regulation of the power grid, the regulation rates of all energy storage power stations will be reduced proportionally.

6. The method for centralized dispatching and optimizing the energy storage power station according to claim 1, characterized in that: The above method calculates the actual regulation rate of the thermal power unit based on the upper and lower limits of the output of the thermal power unit, dynamically adjusts the regulation rate of the thermal power unit in combination with the state information of the thermal power unit participating in the regional control deviation adjustment, forms the output constraint of the thermal power unit, and further optimizes the regulation rate of the energy storage power station, including: According to the delivery cycle of the plan curve, the upper and lower limits of the output of the thermal power units participating in the regional control deviation adjustment are regularly monitored to determine whether the thermal power units in the next delivery cycle have the ability to adjust the active power rate. If not, the adjustment rate of the thermal power units in the next delivery cycle is set to 0; if so, the adjustment rate of the thermal power units in the current delivery cycle is maintained; Based on the operating status and coal quality of the thermal power unit, a unit state parameter factor of the thermal power unit is set, and the regulation rate of the thermal power unit is dynamically adjusted using the unit state parameter factor, and the unit state parameter factor includes a fuel supply factor and a health state 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 optimized again to obtain the output of the energy storage power station for centralized dispatching.

7. The method for centralized dispatching and optimizing the energy storage power station according to claim 6, characterized in that: The calculation formula for dynamically adjusting the regulation rate of the thermal power unit using the unit state parameter factor is: In the formula, To dynamically adjust the rate of thermal power units; The regulation rate of thermal power unit o; α fuel is the fuel supply factor; α health is the health status factor.

8. A centralized dispatching 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 units 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; An optimization operation module is used to obtain the total regulation rate of the thermal power unit based on the energy storage power station parameters and the thermal power unit parameters, and to judge the total regulation rate of the energy storage power station after the energy storage power station limits the rate, and to obtain the optimized regulation rate of the energy storage power station in combination with the maximum charge / discharge rate constraint of the energy storage power station equipment; The prediction and judgment module is used to calculate the actual regulation rate of the thermal power unit based on the upper and lower limits of the thermal power unit output, and dynamically adjust the regulation rate of the thermal power unit in combination with the state information of the thermal power unit participating in the regional control deviation adjustment, so as to form the output constraint of the thermal power unit and optimize the regulation rate of the energy storage power station again; The dispatching control module is used to set the regulation rate of the energy storage power station after optimization constraints as a control instruction, formulate the planning curve of each energy storage power station at the next moment according to the control result, and by issuing the planning curve, each energy storage power station allocates its own energy storage unit to execute the response action.

9. The energy storage power station centralized dispatching optimization system according to claim 8, characterized in that: The sliding window time is consistent with the time interval of the dispatching cycle of the scheduling agency to send the plan curve; The energy storage power station parameters include: the charge state 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 thermal power unit parameters include: the active power of the thermal power unit, the regulation rate reported by the thermal power unit, the unit equipment status and the unit fuel supply situation.

10. The energy storage power station centralized dispatching optimization system according to claim 9, characterized in that: The optimization operation module includes: a rate limiting module, a matching optimization module and a rate constraint module, wherein: The rate limiting module is used to send a planned curve for limiting the regulation rate to each energy storage power station based on the rated active power of the energy storage power station, until the accumulated value of the regulation rate of the energy storage power station is equal to 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 regional control deviation regulation of the power grid, 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 regional control deviation regulation of the power grid at the same time, and optimize the regulation rate of the energy storage power station according to the determination result; The rate constraint module is used to obtain the maximum charge / discharge rate of the energy storage power station equipment, establish the charge / discharge constraint conditions of 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.

11. The energy storage power station centralized dispatching optimization system according to claim 10, characterized in that: The calculation formula for sending the planned curve for limiting the regulation rate to each energy storage power station until the accumulated value of the regulation rate of the energy storage power station is equal to the step load is: Where V i is the load instruction of the planned curve of the i-th energy storage power station; is the accumulated amount of the energy storage power station load instruction in the previous cycle; N represents the step load of the original planned curve; P e,i is the rated active power of the i-th energy storage power station; V e,i,j is the load instruction increment of the i-th energy storage power station in the j-th minute; Δt is the sliding window time.

12. The energy storage power station centralized dispatching optimization system according to claim 8, characterized in that: The matching optimization module includes: a restriction optimization module and a reduction optimization module, wherein: The restriction optimization module is used to send a planned curve for limiting the regulation rate to each energy storage power station if the total regulation power of the energy storage power station is less than or equal to the maximum regulation rate of the thermal power units participating in the control deviation regulation of the power grid area at the same time; The reduction optimization module is used to proportionally reduce the regulation rates of all energy storage power stations if, at the same moment, the total regulation power of the energy storage power station is greater than the maximum regulation rate of the thermal power units participating in the regional control deviation regulation of the power grid.

13. The energy storage power station centralized dispatching optimization system according to claim 12, characterized in that: 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 regularly monitor the upper and lower limits of the output of the thermal power units participating in the regional control deviation adjustment according to the delivery cycle of the plan curve, and determine whether the thermal power units in the next delivery cycle have the ability to adjust the active rate. If not, the adjustment rate of the thermal power units in the next delivery cycle is set to 0; if so, the adjustment rate of the thermal power units in the current delivery cycle is maintained; The dynamic adjustment module is used to set the unit state parameter factor of the thermal power unit based on the operating state and coal quality of the thermal power unit, and dynamically adjust the regulation rate of the thermal power unit using the unit state parameter factor, and the unit state parameter factor includes a fuel supply factor and a health state factor; 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, optimize the regulation rate of the energy storage power station again, and obtain the energy storage power station output finally used for centralized scheduling.

14. The energy storage power station centralized dispatching optimization system according to claim 13, characterized in that: The calculation formula for dynamically adjusting the regulation rate of the thermal power unit using the unit state parameter factor is: In the formula, To dynamically adjust the rate of thermal power units; The regulation rate of thermal power unit o; α fuel is the fuel supply factor; α health is the health status factor.

15. 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 according to any one of claims 1 to 7 are implemented.

16. 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 according to any one of claims 1 to 7 are implemented.

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