A method, device, equipment and medium for determining energy storage capacity based on multi-region frequency modulation

Abstract

The present invention discloses a method, device, equipment and medium for determining energy storage capacity based on multi-region frequency modulation, which relates to the technical field of power grid frequency regulation. The method includes: when there is disturbance power in a multi-control area system, obtaining the frequency of the abnormal area and the frequencies of other areas in the multi-control area system, and determining the target steady-state frequency according to the frequency of the abnormal area, a preset frequency deviation from the standard frequency and a preset frequency drift limit; determining the abnormal frequency deviation and other frequency deviations according to the frequency of the abnormal area, the frequencies of other areas and the target steady-state frequency; determining the frequency deviation power of each control area according to the abnormal frequency deviation, other frequency deviations, the preset frequency drift limit and the frequency offset constant of each control area, and determining the energy storage capacity of each control area based on the frequency deviation power. The present invention realizes the accurate determination of the energy storage capacity of the control area during the frequency modulation process; at the same time, by setting a preset frequency drift limit, the flexibility of frequency regulation is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid frequency regulation, and particularly to a method, device, equipment and medium for determining energy storage capacity based on multi-region frequency modulation. Background Art

[0002] For decades, due to environmental reasons, researchers have been interested in Renewable Energy Resources (RER). With the recent technological advancements in this field, the levelized cost of renewable energy production is economically competitive compared to traditional technologies, and renewable energy will contribute an important portion to the total electricity generation in the coming years. The variability of most RERs brings some well-known operational challenges. Other challenges of RER integration include reduced system inertia, frequency regulation capacity, cross-task capacity violations, reserve requirements, voltage instability, and small-signal instability, etc.

[0003] Frequency is considered one of the main indicators of power system stability. By balancing power generation and load, the frequency is maintained at a fixed value in the long term. The boundaries of frequency deviation and area control error must meet the standard requirements. However, the increasing penetration of low-inertia renewable energy poses a challenge to frequency stability. To address the problems related to renewable energy, many solutions have been applied, such as energy storage, virtual synchronous generators, Virtual Energy Storage (VES) systems, improved energy storage system control, etc., which makes it suitable to assist in integrating RER into the main power grid, but the control effect on frequency is not ideal. Currently, molten salt thermal energy storage has the advantages of large energy storage scale, high energy storage density, high safety performance, etc., and does not produce pollution emissions during the whole process, and is deeply favored. However, it is unable to flexibly determine the energy storage capacity for multi-region frequency modulation. Therefore, how to use molten salt thermal energy storage to improve the new energy consumption capacity of the power grid, stabilize the frequency of the power grid, and accurately determine the energy storage capacity for frequency modulation of the multi-region control system has become an urgent problem to be solved currently. Summary of the Invention

[0004] The present invention provides a method, device, equipment and medium for determining energy storage capacity based on multi-region frequency modulation to solve the problem in the prior art that it is impossible to accurately determine the energy storage capacity for multi-region frequency modulation when using molten salt thermal energy storage to improve the new energy consumption capacity of the power grid.

[0005] According to one aspect of the present invention, there is provided a method for determining energy storage capacity based on multi-region frequency modulation, wherein the method includes:

[0006] In the case where a disturbance power exists in a multi-control area system, obtaining the frequency of an abnormal area and other area frequencies in the multi-control area system, and determining a target steady-state frequency based on the frequency of the abnormal area, a deviation of a preset frequency from a standard frequency, and a preset frequency drift limit;

[0007] Determining abnormal frequency deviation and other frequency deviations according to the abnormal region frequency, the other region frequencies and the target steady-state frequency;

[0008] The frequency deviation power of each control area is determined according to the abnormal frequency deviation, the other frequency deviations, the preset frequency drift limit, and the frequency offset constant of each control area, and the energy storage capacity of each control area is determined based on the frequency deviation power.

[0009] According to another aspect of the present invention, a device for determining stored energy based on multi-region frequency modulation is provided, wherein the device comprises:

[0010] a frequency determination module configured to, when a disturbance power exists in a multi-control area system, obtain the frequency of an abnormal area and other area frequencies in the multi-control area system, and determine a target steady-state frequency based on the frequency of the abnormal area, a deviation of a preset frequency from a standard frequency, and a preset frequency drift limit;

[0011] a deviation determination module, configured to determine abnormal frequency deviation and other frequency deviations based on the abnormal region frequency, the other region frequencies, and the target steady-state frequency;

[0012] An energy storage determination module is used to determine the frequency deviation power of each control area according to the abnormal frequency deviation, the other frequency deviations, the preset frequency drift limit and the frequency offset constant of each control area, and determine the energy storage capacity of each control area based on the frequency deviation power.

[0013] According to another aspect of the present invention, an electronic device is provided, comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining energy storage based on multi-region frequency modulation described in any embodiment of the present invention.

[0017] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement a method for determining energy storage capacity based on multi-area frequency modulation according to any embodiment of the present invention when executed.

[0018] The technical solution of the embodiment of the present invention, in the case of disturbance power in a multi-control area system, obtains the abnormal area frequency and other area frequencies in the multi-control area system, determines the target steady-state frequency according to the abnormal area frequency, the preset frequency deviation from the standard frequency, and the preset frequency drift limit, determines the frequency deviation power of each control area according to the abnormal frequency deviation, other frequency deviations, the preset frequency drift limit, and the frequency offset constant of each control area, and determines the energy storage capacity of each control area based on the frequency deviation power, so as to accurately determine the energy storage capacity of each control area during the process of using molten salt thermal energy storage to participate in frequency modulation; at the same time, by setting the preset frequency drift limit, the flexibility of frequency regulation of the multi-control area system is ensured.

[0019] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0021] Figure 1 is a flowchart of a method for determining energy storage capacity based on multi-area frequency modulation according to Embodiment 1 of the present invention;

[0022] Figure 2 is a structural schematic diagram of a multi-control area system according to Embodiment 1 of the present invention;

[0023] Figure 3 is a flowchart of a method for determining energy storage capacity based on multi-area frequency modulation according to Embodiment 2 of the present invention;

[0024] Figure 4 is a structural schematic diagram of a preset load frequency control model according to Embodiment 3 of the present invention;

[0025] Figure 5 is a structural schematic diagram of a device for determining energy storage capacity based on multi-area frequency modulation according to Embodiment 4 of the present invention;

[0026] Figure 6 It is a schematic structural diagram of an electronic device for implementing a method for determining energy storage capacity based on multi - area frequency modulation according to an embodiment of the present invention. Detailed implementation manners

[0027] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above - mentioned drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non - exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those clearly listed steps or units, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0029] Embodiment 1

[0030] Figure 1 It is a flowchart of a method for determining energy storage capacity based on multi - area frequency modulation according to Embodiment 1 of the present invention. This embodiment is applicable to the situation where molten salt thermal energy storage is used to determine the energy storage capacity for multi - area frequency modulation after a large number of new energy sources are connected to the power grid. This method can be executed by a device for determining energy storage capacity based on multi - area frequency modulation, which can be implemented in the form of hardware and / or software, and the device for determining energy storage capacity based on multi - area frequency modulation can be configured in an electronic device. As Figure 1 shown, the method includes:

[0031] S110. When there is disturbance power in the multi - control area system, obtain the frequency of the abnormal area and the frequencies of other areas in the multi - control area system, and determine the target steady - state frequency according to the frequency of the abnormal area, the preset frequency deviation from the standard frequency, and the preset frequency drift limit.

[0032] Among them, the multi-control area system refers to a system that divides a large power grid into multiple control areas, each of which has an independent control center for management and regulation. Each control area can help other control areas to be stable. In one embodiment, Figure 2 is a schematic structural diagram of a multi-control area system provided according to Embodiment 1 of the present invention. As Figure 2 shown, it is a multi-control area system composed of 3 control areas. Each control area is connected by a connection line. At the same time, each control area is provided with an independent control center, which is responsible for the power grid operation monitoring, dispatching control, safety and stability analysis, etc. within the control area to ensure the stable operation of each control area. In the actual operation process, when the load of Control Area 1 decreases, the frequency of the multi-control area system increases. The area frequency of Control Area 1 can be adjusted by the area frequency auxiliary of Control Area 2 and Control Area 3. The difference between the energy consumed by each area between the preset frequency deviation from the standard frequency and the preset frequency drift limit is the energy storage stored in the control area.

[0033] The disturbance power can be understood as the power change that appears in the multi-control area system and affects the system stability. In one embodiment, the disturbance power can be caused by the absorption or consumption of the rotational kinetic energy in the traditional generator, the transformer failure or the generator failure, resulting in a sudden change in the multi-control area system. The abnormal area frequency can be understood as the area frequency corresponding to the control area that generates the disturbance power, and the other area frequencies can be understood as the area frequencies of other control areas except the control area that generates the disturbance power. The preset frequency deviation from the standard frequency refers to the frequency that is allowed to deviate pre-set in the multi-control area system. Exemplarily, the preset frequency deviation from the standard frequency can include but is not limited to 50Hz, 55Hz or 60Hz, etc., and can be set based on the power grid demand. The preset frequency drift limit can be understood as the limit that allows the frequency to drift up and down on the basis of the preset frequency deviation from the standard frequency, which can improve the flexibility of the power grid frequency modulation. Exemplarily, the preset frequency drift limit can be set according to the power grid demand. Exemplarily, the preset frequency drift limit can include but is not limited to 1Hz, 2Hz or 3Hz, etc.

[0034] In an embodiment, the regional frequency of a multi-control area system can be monitored in real time. When it is determined that there is disturbing power in the multi-control area system, the regional frequency of each control area is determined. The regional frequency corresponding to the regional frequency with disturbing power is used as the abnormal regional frequency, and the regional frequencies corresponding to the other regional frequencies are used as the other regional frequencies. Then, the difference between the abnormal regional frequency and the preset frequency deviating from the standard frequency is determined, and the method for determining the target steady-state frequency is selected based on the difference. In the actual operation process, when it is determined that the difference is greater than the preset frequency drift limit, the target steady-state frequency can be determined as the sum of the preset frequency deviating from the standard frequency and the preset frequency drift limit; when it is determined that the difference is less than the opposite number of the preset frequency drift limit, the target steady-state frequency can be determined as the difference between the preset frequency deviating from the standard frequency and the preset frequency drift limit; when it is determined that the abnormal regional frequency is less than the preset frequency drift limit and greater than the opposite number of the preset frequency drift limit, the load damping coefficient of the control area with disturbing power is extracted, the ratio of the disturbing power to the load damping coefficient of the control area with disturbing power is determined, and the difference between the preset frequency deviating from the standard frequency and the ratio is used as the target steady-state frequency, so as to reasonably determine the target steady-state frequency according to the difference between the abnormal regional frequency and the preset frequency deviating from the standard frequency.

[0035] S120. Determine the abnormal frequency deviation and the other frequency deviations according to the abnormal regional frequency, the other regional frequencies, and the target steady-state frequency.

[0036] Among them, the abnormal frequency deviation can be understood as the frequency deviation that exists in the control area with disturbing power after regional frequency modulation and before regional frequency modulation, that is, the frequency change amount of this area; the other frequency deviations can be understood as the frequency deviations that exist in the areas other than the control area with disturbing power after regional frequency modulation and before regional frequency modulation, that is, the frequency change amounts of the other areas.

[0037] In an embodiment, after determining the abnormal regional frequency, the other regional frequencies, and the target steady-state frequency, the difference between the abnormal regional frequency and the target steady-state frequency can be determined as the abnormal frequency deviation; the difference between the other regional frequencies and the target steady-state frequency can be determined as the other frequency deviation.

[0038] S130. Determine the frequency deviation power of each control area according to the abnormal frequency deviation, the other frequency deviations, the preset frequency drift limit, and the frequency offset constant of each control area, and determine the stored energy of each control area based on the frequency deviation power.

[0039] Among them, the frequency offset constant is a parameter used to describe the degree of frequency offset. Generally speaking, the frequency offset constant is the ratio of the abnormal frequency deviation and other frequency deviations to a certain reference quantity. In the actual operation process, after renewable energy is connected to the multi-control area system of the power grid, renewable energy is intermittent. Some types of renewable energy generation can provide partial inertia to support the power grid by occupying some advanced control standards. However, this partial inertia is limited by the available output and the type of renewable energy generator. When renewable energy gradually replaces traditional generators, the total system inertia decreases while the equivalent regulation constant increases. This leads to a reduction in the regional frequency response characteristics. The partial inertia contributed by renewable energy to the power grid and the inertia reduced due to the replacement of conventional power generation can be used to determine the frequency offset constant after the connection of renewable energy. The frequency deviation power can be understood as the deviation power caused by the influence of the preset frequency drift limit. Exemplarily, if the partial inertia contributed by renewable energy to the power grid is r w , then the inertia reduced due to the replacement of conventional power generation is r r , then the new inertia constant is H i = H old,i (1 + r w - r r ), where H old,i is the inertia constant of the i control area without renewable energy; due to the presence of renewable energy, the equivalent regulation constant will also be affected, where R old,i is the equivalent regulation constant of the i control area without renewable energy; due to the increase in the equivalent regulation constant, the updated regional frequency response characteristics are as follows where D i is the load damping constant of the i control area.

[0040] In the embodiment, the magnitude relationships between the abnormal frequency deviation and other frequency deviations and the preset frequency drift limit are determined, and the frequency offset constant of each control area is determined. When the abnormal regional frequency is greater than the preset frequency drift limit, the frequency deviation power is determined as the product of the preset frequency drift limit and the frequency offset constant of the control area corresponding to the abnormal frequency deviation, and the time integral of the frequency deviation power is used as the stored energy of the control area; when the abnormal regional frequency is less than the opposite of the preset frequency drift limit, the opposite of the product of the preset frequency drift limit and the frequency offset constant of the control area corresponding to the abnormal frequency deviation is used as the frequency deviation power, and the time integral of the frequency deviation power is used as the stored energy of the control area; when the abnormal regional frequency is less than the preset frequency drift limit and greater than the opposite of the preset frequency drift limit, the product of the abnormal frequency deviation and the frequency offset constant of the control area corresponding to the abnormal frequency deviation is determined, and the product is used as the frequency deviation power, and the time integral of the frequency deviation power is used as the stored energy of the control area.

[0041] Similarly, when the frequency of other regions is greater than the preset frequency drift limit, the frequency deviation power can be determined as the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the other frequency deviation, and the time integral of the frequency deviation power is used as the stored energy of the control region; when the frequency of other regions is less than the opposite number of the preset frequency drift limit, the opposite number of the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the other frequency deviation can be used as the frequency deviation power, and the time integral of the frequency deviation power is used as the stored energy of the control region; when the frequency of other regions is less than the preset frequency drift limit and greater than the opposite number of the preset frequency drift limit, the product of the other frequency deviation and the frequency offset constant of the control region corresponding to the other frequency deviation is determined, and the product is used as the frequency deviation power, and the time integral of the piece frequency deviation power is used as the stored energy of the control region.

[0042] In the embodiment of the present invention, in the case of the existence of disturbance power in the multi-control region system, the abnormal region frequency and the frequencies of other regions in the multi-control region system are obtained, the target steady-state frequency is determined according to the abnormal region frequency, the preset frequency deviation from the standard frequency, and the preset frequency drift limit, the frequency deviation power of each control region is determined according to the abnormal frequency deviation, the other frequency deviation, the preset frequency drift limit, and the frequency offset constant of each control region, and the stored energy of each control region is determined based on the frequency deviation power, so as to accurately determine the stored energy of each control region in the process of using molten salt thermal energy storage to participate in frequency modulation; at the same time, by setting the preset frequency drift limit, the flexibility of the frequency regulation of the multi-control region system is ensured.

[0043] In one embodiment, the method for determining the stored energy based on multi-region frequency modulation further includes:

[0044] Obtain the tie-line power deviation of each control region, the current stored energy of each control region, the frequency bias constant of each control region, and the current regional frequency of each control region;

[0045] Determine the area control error according to the target steady-state frequency, the frequency bias constant, the current regional frequency, the preset frequency drift limit, and the tie-line power deviation;

[0046] Determine the power to be adjusted based on the area control error and the current stored energy;

[0047] Based on the power to be adjusted, each control region in the multi-control region system is frequency-modulated to the target steady-state frequency through a preset load frequency control model.

[0048] Among them, the tie-line power deviation refers to the deviation between the power transmitted on the tie-line connecting two different control areas at the current moment and the preset tie-line power threshold; the current regional frequency can include the abnormal regional frequency and the other regional frequencies; the current energy storage refers to the energy storage situation of each control area at the current moment; the power to be adjusted refers to the power required after removing the current energy storage of the control area, which is used to adjust the power of devices such as generators and loads to control the regional frequency; the area control error is an important indicator for measuring the control performance of the regional power grid, and the area control error can include the frequency difference and the tie-line power deviation. The preset load frequency control model can be a model pre-constructed for regional frequency modulation. In one embodiment, the preset load frequency control model at least includes: a turbine governor and a load frequency control controller.

[0049] In an embodiment, the tie-line power of each control area can be monitored in real time through a power monitoring system, the difference between the tie-line power and a preset tie-line power threshold is determined, the difference is used as the tie-line power deviation, and the current energy storage of each control area, the frequency bias constant of each control area, and the current area frequency of each control area are determined. The area control error is determined based on the target steady-state frequency, the frequency bias constant, the current area frequency, the preset frequency drift limit, and the tie-line power deviation, and the difference between the area control error and the current energy storage is used as the power to be adjusted. The preset load frequency control model is used to adjust the frequency of each control area in the multi-control area system to the target steady-state frequency. In the actual operation process, the power to be adjusted can be distributed to m turbine governors through the load frequency control controller of the preset load frequency control model. First, it is adjusted through a regulator, that is, an equivalent adjustment coefficient. After adjustment, the data is output to the turbine governor, and the adjustment outputs are summed up for rotational mass and load damping adjustment, and finally the target steady-state frequency is obtained. In one embodiment, the operation of the preset load frequency control model consists of four main stages: inertia response, primary control, secondary control, and tertiary control. Among them, during the inertia response, the kinetic energy of the rotating mass is immediately discharged or absorbed by the synchronous generator to resist the change in frequency. The primary control is invoked within the first few seconds after the disturbance and relies on the governor action and load damping to stabilize the frequency. Once the governors sense a frequency deviation, they will adjust the output of the generator accordingly by adjusting the input of the prime mover. On the other hand, load damping is the speed change in which the motor load is proportional to the frequency offset, and it helps to resist frequency interference by changing the power consumption of the motor load. The purpose of the secondary control is to further stabilize the frequency through Automatic Generation Control (AGC). The AGC determines the most practical output of each generator based on the area control error and economic dispatch, and then changes the governor set value accordingly. The tertiary control is the final level of frequency control. Its purpose is to restore the reserve used for the secondary control after the secondary control is completed. The generators are rearranged for future supervision. The tertiary control is not automatic. It is executed according to the requirements of the grid operator. This application is to perform the frequency modulation action using the preset load frequency control model.

[0050] In one embodiment, determining the area control error according to the target steady-state frequency, the frequency bias constant, the current area frequency, the preset frequency drift limit, and the tie-line power deviation includes:

[0051] Determining the difference between the current area frequency and the target steady-state frequency as the frequency difference;

[0052] When it is determined that the frequency difference is greater than the preset frequency drift limit, determine the difference between the frequency difference and the preset frequency drift limit as the first difference, determine the product of the first difference and the frequency bias constant of the control area as the first product, and use the difference between the tie-line power deviation and the first product as the area control error;

[0053] When it is determined that the frequency difference is less than the opposite number of the preset frequency drift limit, determine the sum of the frequency difference and the preset frequency drift limit as the first sum, determine the product of the first sum and the frequency bias constant of the control area as the second product, and use the difference between the tie-line power deviation and the second product as the area control error;

[0054] When it is determined that the frequency difference is less than the preset frequency drift limit and greater than the opposite number of the preset frequency drift limit, determine the tie-line power deviation as the area control error.

[0055] Among them, the frequency difference refers to the difference between the current area frequency and the target steady-state frequency, that is, the adjustment value by which the current area deviates.

[0056] In the embodiment, the difference between the current area frequency and the target steady-state frequency can be determined as the frequency difference, and the determination strategy of the area control error can be determined according to the magnitude relationship between the frequency difference and the preset frequency drift limit. In the actual operation process, when it is determined that the frequency difference is greater than the preset frequency drift limit, the difference between the frequency difference and the preset frequency drift limit can be determined as the first difference, and then the product of the first difference and the frequency bias constant of the control area can be determined as the first product, and the difference obtained by subtracting the first product from the tie-line power deviation is used as the area control error; when it is determined that the frequency difference is less than the opposite number of the preset frequency drift limit, the sum of the frequency difference and the preset frequency drift limit can be determined as the first sum, and then the product of the first sum and the frequency bias constant of the control area can be determined as the second product, and the difference between the tie-line power deviation and the second product is used as the area control error; when it is determined that the frequency difference is less than the preset frequency drift limit and greater than the opposite number of the preset frequency drift limit, the tie-line power deviation is determined as the area control error. The strategy of determining the area control error according to the frequency difference and the preset frequency drift limit is realized, ensuring the accuracy of the area control error.

[0057] Embodiment 2

[0058] Figure 3 It is a flowchart of a method for determining the energy storage capacity based on multi-area frequency modulation according to Embodiment 2 of the present invention. This embodiment further illustrates a method for determining the energy storage capacity of multi-area frequency modulation on the basis of the above embodiment. As Figure 2 shown, the method includes:

[0059] S201. When there is disturbing power in the multi-control area system, obtain the frequency of the abnormal area and the frequencies of other areas in the multi-control area system.

[0060] S202. Determine the difference between the frequency of the abnormal area and the standard frequency deviated from the preset frequency.

[0061] In the embodiment, after determining that the frequency of the abnormal area deviates from the standard frequency with respect to the preset frequency, the difference obtained by subtracting the preset frequency deviated from the standard frequency from the frequency of the abnormal area can be determined.

[0062] S203. When it is determined that the difference is greater than the preset frequency drift limit, determine the target steady-state frequency as the sum of the preset frequency deviated from the standard frequency and the preset frequency drift limit.

[0063] In the embodiment, after determining the difference, the magnitude relationship between the difference and the preset frequency drift limit can be determined to judge which threshold interval the difference belongs to. When the difference is greater than the preset frequency drift limit, the sum of the preset frequency deviated from the standard frequency and the preset frequency drift limit can be determined, and the sum is used as the target steady-state frequency. Exemplarily, when the preset frequency drift limit is 0.2, if the difference is 0.3, the target steady-state frequency can be determined as the sum of the preset frequency deviated from the standard frequency and the preset frequency drift limit.

[0064] S204. When it is determined that the difference is less than the opposite number of the preset frequency drift limit, determine the target steady-state frequency as the difference between the preset frequency deviated from the standard frequency and the preset frequency drift limit.

[0065] In the embodiment, when each difference is less than the opposite number of the preset frequency drift limit, the difference between the preset frequency deviated from the standard frequency and the preset frequency drift limit can be determined, and the difference is used as the target steady-state frequency. Exemplarily, when the preset frequency drift limit is 0.2, if the difference is -0.3, the opposite number of the preset frequency drift limit can be determined as -0.2. At this time, the target steady-state frequency can be determined as the sum of the preset frequency deviated from the standard frequency and the preset frequency drift limit.

[0066] S205. When it is determined that the frequency of the abnormal area is less than the preset frequency drift limit and greater than the opposite number of the preset frequency drift limit, determine the ratio of the disturbing power to the load damping coefficient of the control area with disturbing power, and use the difference between the preset frequency deviated from the standard frequency and the ratio as the target steady-state frequency.

[0067] Among them, the load damping coefficient refers to the proportional relationship between the resistance generated by various damping factors and the load movement speed in the system. Generally speaking, the load damping coefficient is related to the inertia time constant and the turbine governor parameters.

[0068] In an embodiment, when the abnormal region frequency is less than the preset frequency drift limit and greater than the opposite number of the preset frequency drift limit, the damping coefficient of the control region with disturbance power can be determined. Then, the ratio of the disturbance power to the damping coefficient is determined, and the difference between the preset frequency and the standard frequency minus the ratio is determined as the target steady-state frequency. Exemplarily, when the preset frequency drift limit is 0.2, if the difference is -0.1, the opposite number of the preset frequency drift limit can be determined as -0.2, and the ratio of the disturbance power to the damping coefficient of the control region with disturbance power is where ΔP L,i is the disturbance power of the i control region, and D i is the load damping coefficient of the i control region.

[0069] S206. Determine the difference between the abnormal region frequency and the target steady-state frequency as the abnormal frequency deviation.

[0070] In an embodiment, the difference between the abnormal region frequency and the target steady-state frequency can be determined, and the difference is used as the abnormal frequency deviation, that is, the frequency change amount of the region.

[0071] S207. Determine the difference between the other region frequency and the target steady-state frequency as the other frequency deviation.

[0072] In an embodiment, the difference between the other region frequency and the target steady-state frequency can be determined, and the difference is used as the other frequency deviation, that is, the frequency change amount of the region.

[0073] S208. Determine the magnitude relationship between the abnormal frequency deviation / other frequency deviation and the preset frequency drift limit, and extract the frequency offset constant of each control region.

[0074] In an embodiment, the magnitude relationships between the abnormal frequency deviation and the other frequency deviation and the preset frequency drift limit can be determined respectively, and the frequency offset constant of each control region can be determined.

[0075] S209. When the abnormal region frequency / other frequency deviation is greater than the preset frequency drift limit, determine the frequency deviation power as the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the abnormal frequency deviation / other frequency deviation.

[0076] In an embodiment, when it is determined that the abnormal region frequency is greater than the preset frequency drift limit, the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the abnormal frequency deviation can be determined, and the product is used as the frequency deviation power; when it is determined that the other region frequency is greater than the preset frequency drift limit, the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the other frequency deviation can be determined, and the product is used as the frequency deviation power.

[0077] S210. When the abnormal frequency deviation / other frequency deviation is less than the opposite of the preset frequency drift limit, determine that the frequency deviation power is the opposite of the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the abnormal frequency deviation / other frequency deviation.

[0078] In an embodiment, when the abnormal frequency deviation is less than the opposite of the preset frequency drift limit, the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the abnormal frequency deviation can be determined, and the opposite of the product can be determined as the frequency deviation power. When the other frequency deviation is less than the opposite of the preset frequency drift limit, the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the other frequency deviation can be determined, and the opposite of the product can be determined as the frequency deviation power.

[0079] S211. When the abnormal frequency deviation / other frequency deviation is less than the preset frequency drift limit and greater than the opposite of the preset frequency drift limit, determine that the frequency deviation power is the product of the abnormal frequency deviation / other frequency deviation and the frequency offset constant of the control region corresponding to the abnormal frequency deviation / other frequency deviation.

[0080] In an embodiment, when the abnormal frequency deviation is less than the preset frequency drift limit and greater than the opposite of the preset frequency drift limit, the product of the abnormal frequency deviation and the frequency offset constant of the control region corresponding to the abnormal frequency deviation can be used as the frequency deviation power; correspondingly, when the other frequency deviation is less than the preset frequency drift limit and greater than the opposite of the preset frequency drift limit, the product of the other frequency deviation and the frequency offset constant of the control region corresponding to the other frequency deviation can be used as the frequency deviation power.

[0081] S212. Determine the time integral of the frequency deviation power as the stored energy of the control region.

[0082] In an embodiment, after determining the frequency deviation power, the integral of the frequency deviation power over a period of time can be determined as the stored energy of the control region during this period. In the actual operation process, the stored energy can be positive, negative, or zero.

[0083] In an embodiment of the present invention, in the case where there is disturbance power in a multi-control area system, the frequency of the abnormal area and the frequencies of other areas in the multi-control area system are obtained, the difference between the frequency of the abnormal area and the preset frequency deviating from the standard frequency is determined, and the calculation method of the target steady-state frequency is determined according to the magnitude relationship between the difference and the preset frequency drift limit, ensuring the rationality of the determination of the target steady-state frequency; by determining the difference between the frequency of the abnormal area and the target steady-state frequency as the abnormal frequency deviation, determining the difference between the frequencies of other areas and the target steady-state frequency as other frequency deviations, and determining the determination method of the frequency deviation power according to the magnitude relationship between the abnormal frequency deviation, other frequency deviations and the preset frequency drift limit, and then determining the time integral of the frequency deviation power as the stored energy of the control area, ensuring the accuracy of the stored energy.

[0084] Embodiment III

[0085] Figure 4 is a schematic structural diagram of a preset load frequency control model provided according to Embodiment III of the present invention. As Figure 4 shown, the preset load frequency control model is a load frequency control (LFC) model and is applied to a multi-control area system as Figure 2 shown. Among them, a dead zone is embedded in the preset load frequency control model to allow frequency drift. The parameters of the described LFC model are as follows:

[0086] ΔP C is supplementary control; ΔP P is primary control power; K(s) is the LFC controller; ΔP load is non-frequency-sensitive load change; ΔP L is disturbance power; T ij is the synchronizing torque coefficient between area i and area j; T ji is the synchronizing torque coefficient between area j and area i; H is the equivalent inertia constant of area i; Δf is the abnormal frequency deviation; D i is the load damping constant; G Tki (s) is the turbine governor; Tg is the time constant; T t is the time delay of the turbine model; ΔP tie,i is the power transmission amount (tie line power) between control area i and other areas through the connecting line; β i is the frequency deviation factor (frequency bias constant) of control area i; is the regulator.

[0087] It is assumed that the generators in the LFC model include non-reheat turbines and reheat turbines, and the dynamic models of the turbine governors are respectively expressed as:

[0088]

[0089] Among them, is the governor dynamics model of the non-reheat turbine; is the governor dynamics model of the reheated turbine; T t,i is the time delay of the turbine model; T g,i is the time constant of the turbine model; T HF,i is the time constant of the non-reheat turbine; T RH,i is the time constant of the reheated turbine.

[0090] For the dynamics model of the state space control region i in the LFC model, including the steam turbine generator in the presence of wind power, it can be presented as follows:

[0091] Among them, is the governor dynamics model of the non-reheat turbine; is the governor dynamics model of the reheated turbine; T t,i is the time delay of the turbine model; T g,i is the time constant of the turbine model.

[0092] The state space of the LFC dynamics model of control region i, including the reheated steam turbine generator in the presence of wind power, can be shown as follows:

[0093]

[0094] y i = D i x i + Im i ;

[0095] Based on this formula, the frequency deviation and the stored energy of the control region can be determined.

[0096] Among them: x i = [Df i ΔP ti ΔP gi ΔP tie,i ΔP RHi T , ΔP RHi is the intermediate thermal power signal, Δf i is the frequency deviation of control region i; ΔP ti is the load power quantity; ΔP gi is the generator power quantity; ΔP tie,i is the power transmission quantity (tie-line power) between control region i and other regions through the connecting line.

[0097] ΔP ti = [DPt1i ΔP t2i ...ΔP tmi ;

[0098] ΔP gi =[DP g1i ΔP g2i ...ΔP gmi ;

[0099] ΔP RHi =[DP RH1i ΔP RH2i ...ΔP RHmi ;

[0100] y i =[Df i ACE i T ;

[0101] u i =[DP C1i ΔP C2i ...ΔP Cmi ε] T ;

[0102] n i represents the external input matrix, including frequency variation and load variation;

[0103] m i =[0 - εβ] T ;

[0104] A i , B i , C i , D i The four matrices are represented as follows:

[0105]

[0106] Among them, the four matrices Ai, Bi, Ci, and Di are all derived from the parameters of the LFC model.

[0107] The state variables of the non - reheat turbine are similar to those of the reheat turbine, corresponding to ΔP RHi which is the (intermediate thermal power signal), and these variables are omitted. When a load disturbance occurs, the dead zone will filter the generated frequency deviation. This filtered frequency deviation and the tie - line power signal are captured in the control system as feedback to generate the Area Control Error (ACE).

[0108] The filtered frequency deviation is determined according to the following dead - zone mathematical model: ​

[0109]

[0110] Among them, -ε is the lower limit of the dead zone (the opposite of the preset frequency drift limit), ε is the upper limit of the dead zone (the preset frequency drift limit), and u is the filtered frequency deviation, that is, the output signal of the dead zone. Finally, under the adjustment of the LFC model, the target steady-state deviation frequency is:

[0111]

[0112] Among them, Δf i,ss is the target steady-state deviation frequency, and the target steady-state deviation frequency is the sum of the target steady-state frequency and the deviation of the preset frequency from the standard frequency; ΔP L,i is the disturbance power of the i control area, and D i is the load damping coefficient of the i control area; when the frequency deviation exceeds the upper drift limit, it will finally be adjusted to the upper drift limit under steady state. When the frequency deviation is lower than the lower drift limit, it will finally be adjusted to the lower drift limit under steady state. It means that for the case where the frequency deviation is within the drift limit, it will finally stabilize the target steady-state deviation frequency to

[0113] In the actual operation process, the full-cycle integral calculation of the frequency offset is the output power used to adjust the frequency, and then subtracting the energy storage power is the ACE. The power to be adjusted can be distributed to m turbine governors through the load frequency control controller of the preset load frequency control model. First, it is adjusted through the regulator, that is, the equivalent adjustment coefficient. After adjustment, the data is output to the turbine governor, and the adjustment outputs are summed up for rotational mass and load damping adjustment, and finally the target steady-state frequency is obtained.

[0114] Among them, after the system, ACE, and frequency drift limit ε of the control area i, the stored energy can be expressed as follows:

[0115]

[0116] f i,a is the current actual frequency of the control area i; f i,s is the nominal frequency (the deviation of the preset frequency from the standard frequency); B i is the frequency offset constant of the control area i, with the unit of MW / 0.1Hz; E i is the capacity of the energy storage in the control area i; ACE i is the area control error of the control area i. When the actual frequency of the control area i is lower than (or higher than) the predetermined frequency, the energy storage in the control area i discharges (or charges).

[0117] Example 4

[0118] Figure 5It is a schematic structural diagram of an energy storage capacity determination device based on multi - area frequency modulation according to Embodiment 4 of the present invention. As Figure 5 shown, the device includes: a frequency determination module 51, a deviation determination module 52, and an energy storage determination module 53.

[0119] Among them, the frequency determination module 51 is used to obtain the abnormal area frequency and the frequencies of other areas in the multi - control area system when there is disturbance power in the multi - control area system, and determine the target steady - state frequency according to the abnormal area frequency, the preset frequency deviation from the standard frequency, and the preset frequency drift limit.

[0120] The deviation determination module 52 is used to determine the abnormal frequency deviation and the other frequency deviations according to the abnormal area frequency, the frequencies of other areas, and the target steady - state frequency.

[0121] The energy storage determination module 53 is used to determine the frequency deviation power of each control area according to the abnormal frequency deviation, the other frequency deviations, the preset frequency drift limit, and the frequency offset constant of each control area, and determine the energy storage capacity of each control area based on the frequency deviation power.

[0122] In the embodiment of the present invention, when there is disturbance power in the multi - control area system, the frequency determination module obtains the abnormal area frequency and the frequencies of other areas in the multi - control area system. The deviation determination module determines the target steady - state frequency according to the abnormal area frequency, the preset frequency deviation from the standard frequency, and the preset frequency drift limit. The energy storage determination module determines the frequency deviation power of each control area according to the abnormal frequency deviation, the other frequency deviations, the preset frequency drift limit, and the frequency offset constant of each control area, and determines the energy storage capacity of each control area based on the frequency deviation power, realizing the accurate determination of the energy storage capacity of each control area during the process of using molten salt thermal energy storage to participate in frequency modulation. At the same time, by setting the preset frequency drift limit, the flexibility of the frequency regulation of the multi - control area system is ensured.

[0123] In one embodiment, an energy storage capacity determination device based on multi - area frequency modulation further includes:

[0124] a regional frequency determination module, which is used to obtain the tie - line power deviation of each control area, the current energy storage capacity of each control area, the frequency bias constant of each control area, and the current regional frequency of each control area;

[0125] an error determination module, which is used to determine the regional control error according to the target steady - state frequency, the frequency bias constant, the current regional frequency, the preset frequency drift limit, and the tie - line power deviation;

[0126] a power determination module, which is used to determine the power to be adjusted based on the regional control error and the current energy storage capacity;

[0127] A frequency adjustment module, configured to tune the frequency of each control area in a multi-control area system to a target steady-state frequency based on a power to be adjusted through a preset load frequency control model.

[0128] In one embodiment, the frequency determination module 51 includes:

[0129] A difference determination unit, configured to determine the difference between the frequency of the abnormal area and the preset frequency deviating from the standard frequency;

[0130] A first difference judgment unit, configured to determine that the target steady-state frequency is the sum of the preset frequency deviating from the standard frequency and the preset frequency drift limit when it is determined that the difference is greater than the preset frequency drift limit;

[0131] A second difference judgment unit, configured to determine that the target steady-state frequency is the difference between the preset frequency deviating from the standard frequency and the preset frequency drift limit when it is determined that the difference is less than the opposite number of the preset frequency drift limit;

[0132] A third difference judgment unit, configured to determine the ratio of the disturbance power to the load damping coefficient of the control area with the disturbance power, and use the difference between the preset frequency deviating from the standard frequency and the ratio as the target steady-state frequency when it is determined that the frequency of the abnormal area is less than the preset frequency drift limit and greater than the opposite number of the preset frequency drift limit.

[0133] In one embodiment, the deviation determination module 52 includes:

[0134] A first deviation determination unit, configured to determine the difference between the frequency of the abnormal area and the target steady-state frequency as the abnormal frequency deviation;

[0135] A second deviation determination unit, configured to determine the difference between the frequency of other areas and the target steady-state frequency as the other frequency deviation.

[0136] In one embodiment, the energy storage determination module 53 includes:

[0137] A constant extraction unit, configured to determine the magnitude relationship between the abnormal frequency deviation / other frequency deviation and the preset frequency drift limit, and extract the frequency offset constant of each control area;

[0138] A first deviation judgment unit, configured to determine that the frequency deviation power is the product of the preset frequency drift limit and the frequency offset constant of the control area corresponding to the abnormal frequency deviation / other frequency deviation when the abnormal area frequency / other frequency deviation is greater than the preset frequency drift limit;

[0139] The determination unit of the second deviation is configured to determine that the frequency deviation power is the opposite of the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the abnormal frequency deviation / other frequency deviations when the abnormal frequency deviation / other frequency deviations are less than the opposite of the preset frequency drift limit;

[0140] The determination unit of the third deviation is configured to determine that the frequency deviation power is the product of the abnormal frequency deviation / other frequency deviations and the frequency offset constant of the control region corresponding to the abnormal frequency deviation / other frequency deviations when the abnormal frequency deviation / other frequency deviations are less than the preset frequency drift limit and greater than the opposite of the preset frequency drift limit;

[0141] The energy storage amount determination unit is configured to determine the time integral of the frequency deviation power as the energy storage amount of the control region.

[0142] In one embodiment, the preset load frequency control model includes at least: a turbine governor and a load frequency control controller.

[0143] In one embodiment, the error determination module is specifically configured to:

[0144] Determine the difference between the current area frequency and the target steady-state frequency as the frequency difference;

[0145] When it is determined that the frequency difference is greater than the preset frequency drift limit, determine the difference between the frequency difference and the preset frequency drift limit as the first difference, determine the product of the first difference and the frequency bias constant of the control region as the first product, and use the difference between the tie-line power deviation and the first product as the area control error;

[0146] When it is determined that the frequency difference is less than the opposite of the preset frequency drift limit, determine the sum of the frequency difference and the preset frequency drift limit as the first sum, determine the product of the first sum and the frequency bias constant of the control region as the second product, and use the difference between the tie-line power deviation and the second product as the area control error;

[0147] When it is determined that the frequency difference is less than the preset frequency drift limit and greater than the opposite of the preset frequency drift limit, determine the tie-line power deviation as the area control error.

[0148] The energy storage amount determination device based on multi-area frequency modulation provided by the embodiments of the present invention can execute the energy storage amount determination method based on multi-area frequency modulation provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0149] Embodiment 5

[0150] Figure 6It is a schematic structural diagram of an electronic device for implementing an energy storage amount determination method based on multi-region frequency modulation according to an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, personal digital processors, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0151] As Figure 6 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0152] Multiple components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disc, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0153] The processor 11 can be various general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as an energy storage amount determination method based on multi-region frequency modulation.

[0154] In some embodiments, a method for determining energy storage capacity based on multi-region frequency modulation can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for determining energy storage capacity based on multi-region frequency modulation described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the method for determining energy storage capacity based on multi-region frequency modulation by any other suitable means (e.g., by means of firmware).

[0155] The various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGA), application specific integrated circuits (ASIC), application specific standard products (ASSP), systems on a chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0156] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions / operations specified in the flowchart and / or block diagram to be implemented. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0157] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0158] For providing interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used for providing interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0159] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of the communication network include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet. ]

[0160] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0161] It should be understood that the various forms of processes shown above can be used, steps can be reordered, added or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0162] The above specific embodiments do not constitute a limitation to the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for determining energy storage capacity based on multi - region frequency modulation, characterized in that Including: When there is disturbance power in a multi-control area system, obtain the frequency of the abnormal area and the frequencies of other areas in the multi-control area system, and determine the target steady-state frequency according to the frequency of the abnormal area, the preset frequency deviation from the standard frequency, and the preset frequency drift limit; Determine the abnormal frequency deviation and other frequency deviations according to the frequency of the abnormal area, the frequencies of other areas, and the target steady-state frequency; Determine the frequency deviation power of each control area according to the abnormal frequency deviation, the other frequency deviations, the preset frequency drift limit, and the frequency offset constant of each control area, and determine the stored energy of each control area based on the frequency deviation power, including: Determine the magnitude relationship between the abnormal frequency deviation / the other frequency deviations and the preset frequency drift limit, and extract the frequency offset constant of each control area; When the frequency of the abnormal area / the other frequency deviation is greater than the preset frequency drift limit, determine the frequency deviation power as the product of the preset frequency drift limit and the frequency offset constant of the control area corresponding to the abnormal frequency deviation / the other frequency deviation; When the abnormal frequency deviation / the other frequency deviation is less than the opposite number of the preset frequency drift limit, determine the frequency deviation power as the opposite number of the product of the preset frequency drift limit and the frequency offset constant of the control area corresponding to the abnormal frequency deviation / the other frequency deviation; When the abnormal frequency deviation / the other frequency deviation is less than the preset frequency drift limit and greater than the opposite number of the preset frequency drift limit, determine the frequency deviation power as the product of the abnormal frequency deviation / the other frequency deviation and the frequency offset constant of the control area corresponding to the abnormal frequency deviation / the other frequency deviation; Determine the time integral of the frequency deviation power as the stored energy of each control area.

2. The method according to claim 1, characterized in that, The method further includes: Obtain the tie-line power deviation of each control area, the current stored energy of each control area, the frequency bias constant of each control area, and the current area frequency of each control area; Determine the area control error according to the target steady-state frequency, the frequency bias constant, the current area frequency, the preset frequency drift limit, and the tie-line power deviation; Determine the power to be adjusted based on the area control error and the current stored energy; Based on the power to be adjusted, use a preset load frequency control model to adjust the frequency of each control area in the multi-control area system to the target steady-state frequency.

3. The method according to claim 1, wherein The determining the target steady-state frequency according to the frequency of the abnormal area, the preset frequency deviation from the standard frequency, and the preset frequency drift limit includes: Determine the difference between the frequency of the abnormal area and the preset frequency deviation from the standard frequency; When it is determined that the difference is greater than the preset frequency drift limit, determine the target steady-state frequency as the sum of the preset frequency deviation from the standard frequency and the preset frequency drift limit; When it is determined that the difference is less than the opposite of the preset frequency drift limit, determine the target steady-state frequency as the difference between the preset frequency deviation from the standard frequency and the preset frequency drift limit; When it is determined that the abnormal area frequency is less than the preset frequency drift limit and greater than the opposite of the preset frequency drift limit, determine the ratio of the disturbance power to the load damping coefficient of the control area where the disturbance power exists, and use the difference between the preset frequency deviation from the standard frequency and the ratio as the target steady-state frequency.

4. The method according to claim 1, characterized in that The determination of the abnormal frequency deviation and the other frequency deviation according to the abnormal area frequency, the other area frequency, and the target steady-state frequency includes: Determine the difference between the abnormal area frequency and the target steady-state frequency as the abnormal frequency deviation; Determine the difference between the other area frequency and the target steady-state frequency as the other frequency deviation.

5. The method according to claim 2, wherein The preset load frequency control model at least includes: a turbine governor and a load frequency control controller.

6. The method according to claim 2, wherein The determination of the area control error according to the target steady-state frequency, the frequency bias constant, the current area frequency, the preset frequency drift limit, and the tie-line power deviation includes: Determine the difference between the current area frequency and the target steady-state frequency as the frequency difference; When it is determined that the frequency difference is greater than the preset frequency drift limit, determine the difference between the frequency difference and the preset frequency drift limit as the first difference, determine the product of the first difference and the frequency bias constant of the control area as the first product, and use the difference between the tie-line power deviation and the first product as the area control error; When it is determined that the frequency difference is less than the opposite of the preset frequency drift limit, determine the sum of the frequency difference and the preset frequency drift limit as the first sum, determine the product of the first sum and the frequency bias constant of the control area as the second product, and use the difference between the tie-line power deviation and the second product as the area control error; When it is determined that the frequency difference is less than the preset frequency drift limit and greater than the opposite of the preset frequency drift limit, determine the tie-line power deviation as the area control error.

7. An energy storage capacity determination device based on multi-region frequency modulation, characterized in that, Includes: A frequency determination module, configured to, when there is disturbance power in a multi-control area system, obtain the abnormal area frequency and the other area frequency in the multi-control area system, and determine the target steady-state frequency according to the abnormal area frequency, the preset frequency deviation from the standard frequency, and the preset frequency drift limit; A deviation determination module, configured to determine the abnormal frequency deviation and the other frequency deviation according to the abnormal area frequency, the other area frequency, and the target steady-state frequency; An energy storage determination module, configured to determine the frequency deviation power of each control area according to the abnormal frequency deviation, the other frequency deviation, the preset frequency drift limit, and the frequency offset constant of each control area, and determine the energy storage amount of each control area based on the frequency deviation power; Wherein, the energy storage determination module includes: A constant extraction unit, configured to determine the magnitude relationship between the abnormal frequency deviation / the other frequency deviation and the preset frequency drift limit, and extract the frequency offset constant of each of the control regions; A first deviation determination unit, configured to, when the abnormal region frequency / the other frequency deviation is greater than the preset frequency drift limit, determine the frequency deviation power as the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the abnormal frequency deviation / the other frequency deviation; A second deviation determination unit, configured to, when the abnormal frequency deviation / the other frequency deviation is less than the opposite number of the preset frequency drift limit, determine the frequency deviation power as the opposite number of the product of the preset frequency drift limit and the frequency offset constant of the control region corresponding to the abnormal frequency deviation / the other frequency deviation; A third deviation determination unit, configured to, when the abnormal frequency deviation / the other frequency deviation is less than the preset frequency drift limit and greater than the opposite number of the preset frequency drift limit, determine the frequency deviation power as the product of the abnormal frequency deviation / the other frequency deviation and the frequency offset constant of the control region corresponding to the abnormal frequency deviation / the other frequency deviation; An energy storage amount determination unit, configured to determine the time integral of the frequency deviation power as the energy storage amount of each of the control regions.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute a method for determining energy storage amount based on multi-region frequency modulation according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing a processor to implement a method for determining energy storage amount based on multi-region frequency modulation according to any one of claims 1-6 when executed.

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