Multi-element novel energy storage primary frequency modulation control method and system based on execution priority
By real-time monitoring of the power grid frequency and calculating the dynamic performance of energy storage, determining the energy storage priority and allocating the power shortage, the problem of insufficient consideration of the performance differences of different energy storage types in the prior art is solved, and more efficient and stable primary frequency regulation control is achieved.
Patent Information
- Application Number
- CN202411834627.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-13
- Publication Date
- 2025-04-25
AI Technical Summary
The existing primary frequency modulation control method has insufficient consideration of performance differences in different energy storage types, low resource utilization, and how to achieve orderly frequency modulation control based on the dynamic performance and priority of energy storage equipment.
By monitoring the power grid frequency in real time, calculating the system power shortage, obtaining the dynamic performance of the primary frequency modulation of multiple new energy storage, calculating the power control priority, determining the energy storage set participating in the primary frequency modulation, and allocating the power shortage.
It improves the response speed and accuracy of frequency modulation, reduces the risk of frequency fluctuations caused by frequency modulation delay, avoids the waste of resources caused by inefficient energy storage stations participating in frequency modulation, and improves the overall efficiency and stability of frequency modulation at one time.
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Figure CN119891253A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power system frequency regulation, and in particular to a multi-element new energy storage primary frequency regulation control method based on execution priority. Background Art
[0002] Guided by the dual carbon goals, my country is accelerating the construction of a clean, low-carbon, safe and efficient energy system, actively developing clean energy, and promoting the construction of a new power system. As a key technology to support new energy to play the role of the main power source, diversified new energy storage is an important guarantee for the safe and stable operation of the power system. In recent years, the National Energy Administration has actively promoted the high-quality development of new energy storage, established and improved new energy storage policies and management systems, and initially built the "four beams and eight pillars" of industrial development. By the end of 2023, the cumulative installed capacity of new energy storage projects that have been built and put into operation nationwide will reach 31.39 million kilowatts / 66.87 million kilowatt-hours, an increase of more than 260% from the end of 2022. With the rapid development of new energy, the power system has put forward greater demands on regulation capabilities, and the contradiction between large-scale construction of new energy storage and insufficient deployment has become increasingly prominent.
[0003] At present, there are more and more studies on the participation of photovoltaic storage, wind storage, wind-solar storage, and hybrid energy storage in the primary frequency regulation control of the power grid, but most of them are limited to the primary frequency regulation control at the station level and focus on electrochemical energy storage. With the access of various forms of energy storage such as sodium ion batteries, lead-carbon batteries, flow batteries, flywheel energy storage, and supercapacitors, the types of energy storage available for dispatch are diverse, but different energy storage types have obvious differences in response rate, cycle life, and charge and discharge rate capabilities. At this time, when performing primary frequency regulation control on energy storage in the regional power grid, it is necessary to consider the impact of frequent charging and discharging on energy storage batteries and the orderly control between energy storage power stations. Summary of the invention
[0004] In view of the above-mentioned problems, the present invention is proposed.
[0005] Therefore, the technical problem solved by the present invention is that the existing primary frequency regulation control method has insufficient consideration of the performance differences of different energy storage types, low resource utilization, and the optimization problem of how to achieve orderly frequency regulation control based on the dynamic performance and priority of energy storage equipment.
[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for primary frequency regulation control of multiple new energy storage based on execution priority, including real-time monitoring of grid frequency and calculation of system power shortage; obtaining the primary frequency regulation dynamic performance of multiple new energy storage and calculating the power control priority; determining the energy storage set participating in the primary frequency regulation and allocating the power shortage.
[0007] As a preferred solution of the multivariate new energy storage primary frequency modulation control method based on execution priority described in the present invention, wherein: the calculation of the system power shortage according to the frequency deviation includes calculating the system power shortage according to the frequency deviation, which is expressed as:
[0008] ΔP=K f ×(ff n )
[0009] Among them, ΔP is the system power shortage, K f is the primary frequency modulation coefficient, f is the system frequency, f n is the rated frequency of the system.
[0010] As a preferred solution of the primary frequency modulation control method of the multi-element new energy storage based on execution priority described in the present invention, wherein: the acquisition of the primary frequency modulation dynamic performance of the multi-element new energy storage includes the response rate and the control accuracy, and the response rate and the control accuracy are respectively expressed as:
[0011] K1=1-t s / T s
[0012] K2=1-e / E a
[0013] Among them, K1 is the response rate index of the energy storage power station, K2 is the control accuracy index of the energy storage power station, t s is the actual primary frequency regulation time of the energy storage power station, T s is the primary frequency regulation time requirement of the grid-connected energy storage power station, e is the measured active power regulation deviation of the energy storage power station, and E a It is the active power regulation deviation requirement when the primary frequency regulation of the grid-connected energy storage power station reaches stability.
[0014] As a preferred solution of the multivariate new energy storage primary frequency modulation control method based on execution priority described in the present invention, wherein: the calculation power control priority includes energy storage category and cycle life, and the energy storage category and cycle life are respectively expressed as:
[0015]
[0016] H=h soh / H soh_max
[0017] Among them, C cat is the energy storage category, H is the cycle life, h soh is the cycle life of the energy storage power station, H soh_maxis the maximum cycle life of the energy storage power station in the energy storage category set. The energy storage category is divided into power type and energy type. It is determined by the K-means clustering result of the charge and discharge rate capability of the energy storage power station. The charge and discharge rate capability of the energy storage power station is expressed as:
[0018] C=P e / E e
[0019] Among them, C is the charge and discharge rate capability of the energy storage power station, P e is the rated power of the energy storage power station, E e is the rated capacity of the energy storage power station, and the K-means clustering centers of the charge and discharge rate capabilities are C p and C e , C p >C e , and C p The energy storage type belonging to the same cluster is power type, which is the same as C e The energy storage category belonging to the same cluster is energy type.
[0020] As a preferred solution of the multivariate new energy storage primary frequency modulation control method based on execution priority described in the present invention, wherein: the calculation of power control priority also includes combining energy storage category and cycle life to calculate power control priority, expressed as:
[0021] P prio =(α×K1+β×K2)+0.5C cat +0.5H
[0022] Among them, P prio is the power control priority, α and β are weight coefficients.
[0023] As a preferred solution of the multivariate new energy storage primary frequency modulation control method based on execution priority described in the present invention, wherein: the energy storage set participating in the primary frequency modulation is determined to include the energy storage set participating in the primary frequency modulation as {S1, S2, ..., S n}, the control priority and adjustable capacity of each energy storage station are {P prio-1 ,P prio-2 ,…,P prio-n} and {ΔP adj-1 ,ΔP adj-2 ,…,ΔP adj-n}, the constraints are expressed as:
[0024] P prio-1 >P prio-2 >…>P prio-n
[0025]
[0026] Where n is the number of energy storage power stations participating in primary frequency regulation, P prio-i and ΔP adj-i are the power control priority and adjustable capacity of the i-th energy storage power station respectively.
[0027] As a preferred solution of the multivariate new energy storage primary frequency regulation control method based on execution priority described in the present invention, the power shortage of the allocated power includes the power allocated to the energy storage power station participating in the primary frequency regulation, which is expressed as:
[0028]
[0029] Where ΔP i It is the power value allocated to the i-th energy storage power station when participating in a frequency regulation.
[0030] Another object of the present invention is to provide a new type of multi-energy storage primary frequency regulation control system based on execution priority, which can determine the energy storage set participating in primary frequency regulation through the power allocation module and reasonably allocate power shortages, thereby solving the current problems of low resource allocation efficiency, unstable frequency regulation effect, and difficulty in coordination of multi-energy storage.
[0031] As a preferred solution of the multi-new energy storage primary frequency regulation control system based on execution priority described in the present invention, it includes: a power calculation module, a control priority module, and a power allocation module; the power calculation module is used to monitor the grid frequency in real time and calculate the system power shortage; the control priority module is used to obtain the primary frequency regulation dynamic performance of the multi-new energy storage and calculate the power control priority; the power allocation module is used to determine the energy storage set participating in the primary frequency regulation and allocate the power shortage.
[0032] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that the processor executes the computer program to implement a step of a multi-element new energy storage primary frequency modulation control method based on execution priority.
[0033] 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 a multi-element new energy storage primary frequency modulation control method based on execution priority are implemented.
[0034] Beneficial effects of the present invention: The novel multivariate energy storage primary frequency regulation control method based on execution priority provided by the present invention calculates the system power shortage by real-time monitoring of the changes in the grid frequency, thereby improving the frequency regulation response speed and accuracy, reducing the risk of frequency fluctuation caused by frequency regulation delays, and allocating task priorities according to differences in the dynamic performance of energy storage, thereby avoiding the waste of resources caused by the participation of inefficient energy storage stations in frequency regulation. By combining the priority and adjustable capacity of the energy storage station, the overall efficiency and stability of the primary frequency regulation are improved. By dynamic performance evaluation, the response rate and control accuracy of the energy storage station in the primary frequency regulation process are quantified to ensure the stability and safety of the long-term operation of the power grid. The present invention achieves better results in terms of response speed, overall efficiency and stability. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:
[0036] Figure 1 An overall flow chart of a novel multi-element energy storage primary frequency modulation control method based on execution priority provided in the first embodiment of the present invention.
[0037] Figure 2 This is an overall module diagram of a new multi-element energy storage primary frequency regulation control system based on execution priority provided in the third embodiment of the present invention. DETAILED DESCRIPTION
[0038] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.
[0039] Example 1
[0040] Reference Figure 1 , is an embodiment of the present invention, and provides a multi-element new energy storage primary frequency regulation control method based on execution priority, including:
[0041] S1: Monitor the grid frequency in real time and calculate the system power shortage.
[0042] Furthermore, calculating the system power deficit according to the frequency deviation includes calculating the system power deficit according to the frequency deviation.
[0043] It should be noted that the power deficit of the calculation system is expressed as:
[0044] ΔP=K f ×(ff n )
[0045] Among them, ΔP is the system power shortage, K f is the primary frequency modulation coefficient, f is the system frequency, f n is the rated frequency of the system.
[0046] S2: Obtain the primary frequency regulation dynamic performance of the multi-element new energy storage and calculate the power control priority.
[0047] Furthermore, the primary frequency modulation dynamic performance of the new multi-element energy storage is obtained, including the response rate and control accuracy.
[0048] It should be noted that the response rate and control accuracy are expressed as:
[0049] K1=1-t s / T s
[0050] K2=1-e / E a
[0051] Among them, K1 is the response rate index of the energy storage power station, K2 is the control accuracy index of the energy storage power station, t s is the actual primary frequency regulation time of the energy storage power station, T s is the primary frequency regulation time requirement of the grid-connected energy storage power station, e is the measured active power regulation deviation of the energy storage power station, and E a It is the active power regulation deviation requirement when the primary frequency regulation of the grid-connected energy storage power station reaches stability.
[0052] Furthermore, the power control priority is calculated including energy storage category and cycle life.
[0053] It should be noted that the energy storage category and cycle life are expressed as:
[0054]
[0055] H=h soh / H soh_max
[0056] Among them, C cat is the energy storage category, H is the cycle life, h soh is the cycle life of the energy storage power station, H soh_max is the maximum cycle life of the energy storage power station in the energy storage category set. The energy storage category is divided into power type and energy type. It is determined by the K-means clustering result of the charge and discharge rate capability of the energy storage power station. The charge and discharge rate capability of the energy storage power station is expressed as:
[0057] C=P e / E e
[0058] Among them, C is the charge and discharge rate capability of the energy storage power station, P e is the rated power of the energy storage power station, E e is the rated capacity of the energy storage power station, and the K-means clustering centers of the charge and discharge rate capabilities are C p and C e , C p >C e , and C p The energy storage type belonging to the same cluster is power type, which is the same as C e The energy storage category belonging to the same cluster is energy type.
[0059] Furthermore, calculating the power control priority also includes combining the energy storage type and the cycle life.
[0060] It should be noted that the power control priority is calculated as:
[0061] P prio =(α×K1+β×K2)+0.5C cat +0.5H
[0062] Among them, P prio is the power control priority, α and β are weight coefficients.
[0063] S3: Determine the energy storage set participating in the frequency regulation and allocate the power shortage.
[0064] Furthermore, determining the energy storage set participating in a frequency regulation includes the energy storage set participating in a frequency regulation.
[0065] It should be noted that the energy storage group participating in the frequency regulation is {S1, S2, …, S n}, the control priority and adjustable capacity of each energy storage station are {P prio-1 ,P prio-2 ,…,P prio-n} and {ΔP adj-1 ,ΔP adj-2 ,…,ΔP adj-n}, the constraints are expressed as:
[0066] P prio-1 >P prio-2 >…>P prio-n
[0067]
[0068] Where n is the number of energy storage power stations participating in primary frequency regulation, Pprio-i and ΔP adj-i are the power control priority and adjustable capacity of the i-th energy storage power station respectively.
[0069] Furthermore, the allocated power shortfall includes the power allocated by the energy storage power stations participating in the primary frequency regulation.
[0070] It should be noted that the power allocated by the energy storage power station participating in the primary frequency regulation is expressed as:
[0071]
[0072] Where ΔP i It is the power value allocated to the i-th energy storage power station when participating in a frequency regulation.
[0073] It should also be noted that after a frequency regulation is completed, the primary frequency regulation dynamic performance of the energy storage power station participating in the adjustment process is evaluated.
[0074] Example 2
[0075] An embodiment of the present invention provides a novel multivariate energy storage primary frequency regulation control method based on execution priority. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.
[0076] This experiment selected an actual power grid scenario, which includes three types of energy storage, lithium-ion battery energy storage station (power type), sodium-sulfur battery energy storage station (energy type), and flywheel energy storage station (high-speed response type). The test equipment includes a real-time frequency monitoring device, an energy storage dynamic performance evaluation system, and a distributed dispatching controller. Before the test, the power control priority of each energy storage station is calculated based on the charge and discharge rate, cycle life, and dynamic response performance of the energy storage station.
[0077] The test is divided into two groups, one group adopts the traditional method, and the other group adopts the method of the present invention. The test simulates the frequency fluctuation of the regional power grid under different load mutation conditions, compares the frequency regulation response performance and equipment utilization efficiency of the two methods, uses the frequency monitoring device to record the system frequency deviation in the test scenario, and calculates the power shortage (ΔP) according to the frequency deviation. Subsequently, in the test using the priority control method, the dynamic performance parameters such as the response rate and control accuracy of the energy storage station are obtained in turn. Combined with the energy storage type (power type or energy type) and the cycle life data, the power control priority is calculated and determined. Based on the priority, the power shortage is allocated, and each energy storage station is instructed to respond according to the allocated power. The entire test process lasts for 24 hours. Two scenarios of high load (morning peak) and low load (night) are set. Three frequency disturbance events are introduced in each scenario, and the disturbance amplitude is randomly selected from 0.1Hz to 0.3Hz. After the test, the performance of the two groups of methods is compared and analyzed by evaluating the frequency regulation response time, output power deviation, and equipment operation status of the energy storage station.
[0078] As shown in Table 1, in terms of response time, the method of the present invention shortens the response delay of the energy storage station. The response time of the lithium-ion battery is reduced from 5.2 seconds of the traditional method to 3.8 seconds, with a reduction of 27%. The response time of the flywheel energy storage is optimized from 2.4 seconds to 1.6 seconds, reflecting the advantage of priority allocation in dynamic performance. In terms of output power deviation, the control accuracy of the method of the present invention is higher. Taking lithium-ion batteries as an example, the output power deviation is reduced from 4.5% to 2.1%, which improves the accuracy by more than 53%. This shows that the method of the present invention can better match the dynamic performance of the energy storage station when allocating power tasks and reduce the impact of frequency fluctuations on the operation of the power grid. The traditional method has more significant losses on energy storage equipment, while the method of the present invention has a higher control accuracy. The method reduces excessive use of equipment. The cycle life of sodium-sulfur batteries is reduced by 9% in traditional methods, while it is only reduced by 5% in the method of the present invention, thereby protecting the long-term operation capability of the energy storage equipment. The method of the present invention also has improvements in frequency regulation success rate and dynamic performance score. The frequency regulation success rate of all energy storage types is improved by more than 10%, while the dynamic performance score increases by an average of about 15%, reflecting the effect of the method of the present invention on the scheduling optimization and performance improvement of energy storage collections. The method of the present invention improves the utilization efficiency of power resources of energy storage stations by more than 20% on average, especially in flywheel energy storage, where the efficiency is improved from 72% to 88%. The method of the present invention can give full play to the strengths of different energy storage types and achieve optimal allocation of resources.
[0079] Table 1 Experimental data table
[0080]
[0081] Example 3
[0082] Reference Figure 2, which is an embodiment of the present invention, provides a new multi-element energy storage primary frequency regulation control system based on execution priority, including: a power calculation module, a control priority module, and a power allocation module.
[0083] The power calculation module is used to monitor the grid frequency in real time and calculate the system power shortage. The control priority module is used to obtain the primary frequency regulation dynamic performance of the multi-element new energy storage and calculate the power control priority. The power allocation module is used to determine the energy storage set participating in the primary frequency regulation and allocate the power shortage.
[0084] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.
[0085] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.
[0086] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.
[0087] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.
[0088] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.
Claims
1. A multi-element new energy storage primary frequency modulation control method based on execution priority, characterized in that: include: Real-time monitoring of grid frequency and calculation of system power shortage; Obtain the primary frequency regulation dynamic performance of multi-element new energy storage and calculate the power control priority; Determine the energy storage set participating in primary frequency regulation and allocate power shortage.
2. The multi-element new energy storage primary frequency modulation control method based on execution priority as claimed in claim 1, characterized in that: Calculating the system power deficit according to the frequency deviation includes calculating the system power deficit according to the frequency deviation, which is expressed as: ΔP=K f ×(f-f n ) Among them, ΔP is the system power shortage, K f is the primary frequency modulation coefficient, f is the system frequency, f n is the rated frequency of the system.
3. The multi-element new energy storage primary frequency modulation control method based on execution priority as claimed in claim 2 is characterized by: The primary frequency modulation dynamic performance of obtaining the multi-element new energy storage includes response rate and control accuracy, and the response rate and control accuracy are respectively expressed as: K1=1-t s / T s K2=1-e / E a Among them, K1 is the response rate index of the energy storage power station, K2 is the control accuracy index of the energy storage power station, t s is the actual primary frequency regulation time of the energy storage power station, T s is the primary frequency regulation time requirement of the grid-connected energy storage power station, e is the measured active power regulation deviation of the energy storage power station, and E a It is the active power regulation deviation requirement when the primary frequency regulation of the grid-connected energy storage power station reaches stability.
4. The multi-element new energy storage primary frequency modulation control method based on execution priority as claimed in claim 3 is characterized by: The calculation power control priority includes energy storage category and cycle life, and the energy storage category and cycle life are respectively expressed as: H=h soh / H soh_max Among them, C cat is the energy storage category, H is the cycle life, h soh is the cycle life of the energy storage power station, H soh_max is the maximum cycle life of the energy storage power station in the energy storage category set. The energy storage category is divided into power type and energy type. It is determined by the K-means clustering result of the charge and discharge rate capability of the energy storage power station. The charge and discharge rate capability of the energy storage power station is expressed as: C=P e / E e Among them, C is the charge and discharge rate capability of the energy storage power station, P e is the rated power of the energy storage power station, E e is the rated capacity of the energy storage power station, and the K-means clustering centers of the charge and discharge rate capabilities are C p and C e , C p >C e , and C p The energy storage type belonging to the same cluster is power type, which is the same as C e The energy storage category belonging to the same cluster is energy type.
5. The multi-element new energy storage primary frequency modulation control method based on execution priority as claimed in claim 4 is characterized by: The calculating of the power control priority also includes calculating the power control priority in combination with the energy storage category and the cycle life, which is expressed as: P prio =(α×K1+β×K2)+0.5C cat +0.5H Among them, P prio is the power control priority, α and β are weight coefficients.
6. The multi-element new energy storage primary frequency modulation control method based on execution priority as claimed in claim 5, characterized in that: The step of determining the energy storage set participating in the primary frequency modulation includes: the energy storage set participating in the primary frequency modulation is {S1, S2, ..., S n }, the control priority and adjustable capacity of each energy storage station are {P prio-1 ,P prio-2 ,…,P prio-n } and {ΔP adj-1 ,ΔP adj-2 ,…,ΔP adj-n }, the constraints are expressed as: P prio-1 >P prio-2 >…>P prio-n Where n is the number of energy storage power stations participating in primary frequency regulation, P prio-i and ΔP adj-i are the power control priority and adjustable capacity of the i-th energy storage power station respectively.
7. The multi-element new energy storage primary frequency modulation control method based on execution priority as claimed in claim 6, characterized in that: The allocated power shortage includes the power allocated to the energy storage power station participating in the primary frequency regulation, which is expressed as: Among them, ΔP i It is the power value allocated to the i-th energy storage power station when participating in a frequency regulation.
8. A system using the multi-element new energy storage primary frequency modulation control method based on execution priority as claimed in any one of claims 1 to 7, characterized in that: It includes power calculation module, control priority module and power allocation module; The power calculation module is used to monitor the power grid frequency in real time and calculate the power shortage of the system; The control priority module is used to obtain the primary frequency modulation dynamic performance of the multi-element new energy storage and calculate the power control priority; The power allocation module is used to determine the energy storage set participating in a frequency modulation and allocate the power shortage.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the new multi-element energy storage primary frequency modulation control method based on execution priority described in any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the multi-element new energy storage primary frequency modulation control method based on execution priority described in any one of claims 1 to 7 are implemented.