Flywheel energy storage system benchmark soc value dynamic adjustment method and device, terminal and storage medium

Abstract

This invention provides a method, apparatus, terminal, and storage medium for dynamically adjusting the reference SOC value of a flywheel energy storage system. The method includes: counting the number of charging and discharging cycles of the flywheel energy storage system participating in a frequency regulation within a preset time period; if the number of charging cycles of the flywheel energy storage system within the preset time period exceeds a first preset threshold, then decreasing the reference SOC value of the flywheel energy storage system; if the number of discharging cycles of the flywheel energy storage system within the preset time period exceeds the first preset threshold, then increasing the reference SOC value. This solution avoids the problem of poor frequency regulation capability caused by an insufficient reference SOC value to support the grid's frequency regulation power, ensures the response effect of charging and discharging frequency regulation, and significantly improves the system's frequency regulation capability.

Description

Technical Field

[0001] This invention relates to the field of flywheel energy storage technology, and in particular to a method, device, terminal, and storage medium for dynamically adjusting the reference SOC value of a flywheel energy storage system. Background Technology

[0002] Flywheel energy storage is an electromechanical energy conversion and storage technology that uses a high-speed rotating flywheel rotor to convert electrical energy into kinetic energy for storage, and then converts the kinetic energy back into electrical energy for output when needed by decelerating.

[0003] In power systems, flywheel energy storage is particularly suitable for primary frequency regulation, i.e., rapid power compensation when the grid frequency fluctuates due to imbalances in generation and load. As the first line of defense for frequency control, flywheel energy storage effectively smooths out random fluctuations in new energy sources through high-frequency, short-duration charging and discharging, alleviates equipment wear and energy efficiency degradation in thermal power units caused by frequency regulation, and significantly improves grid stability.

[0004] However, in practical applications of existing flywheel energy storage systems participating in primary frequency regulation, frequency regulation control is usually based directly on the existing SOC (State of Charge) value of the flywheel energy storage. This makes it difficult to form an effective match between the flywheel energy storage system and the real-time frequency regulation requirements of the power grid, resulting in poor frequency regulation capability when the flywheel energy storage participates in primary frequency regulation. Summary of the Invention

[0005] This invention provides a method, device, terminal, and storage medium for dynamically adjusting the reference SOC value of a flywheel energy storage system, in order to solve the problem of poor frequency regulation capability of flywheel energy storage participating in primary frequency regulation in the prior art.

[0006] In a first aspect, embodiments of the present invention provide a method for dynamically adjusting the baseline SOC value of a flywheel energy storage system, comprising:

[0007] The number of times the flywheel energy storage system participates in frequency regulation within a preset time period is statistically analyzed;

[0008] If the number of times the flywheel energy storage system is charged within a preset time period exceeds a first preset threshold, the baseline SOC value of the flywheel energy storage system is reduced.

[0009] If the number of discharges of the flywheel energy storage system within a preset time period exceeds the first preset threshold, then the baseline SOC value is increased;

[0010] The reference SOC value is the target SOC value maintained by the flywheel energy storage system in a non-frequency regulation state.

[0011] Secondly, embodiments of the present invention provide a dynamic adjustment device for the reference SOC value of a flywheel energy storage system, comprising:

[0012] The charge / discharge count module is used to count the number of times the flywheel energy storage system participates in one frequency regulation within a preset time period;

[0013] The reference SOC value reduction module is used to reduce the reference SOC value of the flywheel energy storage system if the number of times the flywheel energy storage system is charged within a preset time period exceeds a first preset threshold.

[0014] The reference SOC value adjustment module is used to increase the reference SOC value if the number of discharges of the flywheel energy storage system within a preset time period exceeds the first preset threshold.

[0015] The reference SOC value is the target SOC value maintained by the flywheel energy storage system in a non-frequency regulation state.

[0016] Thirdly, embodiments of the present invention provide a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the dynamic adjustment method for the reference SOC value of the flywheel energy storage system as described in any possible implementation of the first aspect above.

[0017] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method as described in the first aspect or any possible implementation thereof.

[0018] This invention provides a method, device, terminal, and storage medium for dynamically adjusting the reference SOC value of a flywheel energy storage system. The method involves statistically analyzing the number of charge-discharge cycles the flywheel energy storage system participates in a single frequency regulation within a preset time period, and dynamically adjusting the reference SOC value based on the relationship between the number of charge-discharge cycles and a first preset threshold. When the grid requires frequent charging for frequency regulation, reducing the reference SOC value allows for more charging capacity, preventing the system from failing to absorb surplus grid power in a timely manner due to an excessively high reference SOC value, thus ensuring the system can quickly respond to charging frequency regulation demands. Conversely, when the grid requires frequent discharging for frequency regulation, increasing the reference SOC value enhances energy reserves, preventing insufficient discharging due to an excessively low reference SOC value. This solves the problem of mismatch between the flywheel energy storage energy state and grid demand caused by a fixed reference SOC value in existing technologies, ensuring effective discharging for frequency regulation and significantly improving the system's frequency regulation capability. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the implementation of the dynamic adjustment method for the reference SOC value of a flywheel energy storage system provided in this embodiment of the invention.

[0021] Figure 2 This is a schematic diagram of the structure of the dynamic adjustment device for the reference SOC value of the flywheel energy storage system provided in this embodiment of the invention;

[0022] Figure 3 This is a schematic diagram of the terminal provided in an embodiment of the present invention. Detailed Implementation

[0023] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0024] To make the objectives, technical solutions, and advantages of the present invention clearer, specific embodiments will be described below in conjunction with the accompanying drawings.

[0025] Primary frequency regulation refers to the adjustment process in a power system used for rapid response to frequency deviations, stabilizing the system frequency by adjusting generation or load power. Existing flywheel energy storage systems, when not participating in frequency regulation, typically employ a control strategy with a fixed reference SOC value. This design flaw directly limits their frequency regulation capability: on the one hand, if the initial SOC value of the flywheel is too high, when the grid experiences a sudden load drop, the flywheel, due to its ample remaining energy, cannot quickly and fully absorb the grid's surplus power, leading to untimely frequency regulation response and potentially even overcharging that could cause equipment safety risks. On the other hand, if the initial SOC value of the flywheel is too low, when the grid experiences a sudden load surge, the energy that the flywheel can release is limited, insufficient to meet the grid's demand for compensation power, resulting in insufficient frequency regulation depth. Both of these situations prevent flywheel energy storage systems from fully utilizing their advantages of fast response speed and high power density, resulting in poor frequency regulation capability when participating in primary frequency regulation and difficulty in adapting to the complex and ever-changing frequency regulation needs of the power grid.

[0026] To address the aforementioned issues, this embodiment provides a method for dynamically adjusting the reference SOC value of a flywheel energy storage system. This method dynamically adjusts the reference SOC value of the flywheel energy storage system based on the charging and discharging patterns over a period of time, thereby improving the ability of flywheel energy storage to participate in primary frequency regulation.

[0027] See Figure 1 The document illustrates a flowchart of the dynamic adjustment method for the reference SOC value of a flywheel energy storage system provided in an embodiment of the present invention. The execution entity of this method is the control terminal of the flywheel energy storage system, as detailed below:

[0028] S101: Statistical analysis of the number of times the flywheel energy storage system participates in frequency regulation within a preset time period, including the number of charging and discharging cycles.

[0029] In this embodiment, in order to dynamically adjust the reference SOC value to adapt to the specific frequency regulation requirements of the power grid, this embodiment can statistically analyze the charging and discharging patterns of the flywheel energy storage system participating in primary frequency regulation within a preset time period, determine whether the flywheel energy storage system charges or discharges more times within the preset time period, and dynamically adjust the reference SOC value based on the number of charging and discharging operations.

[0030] Specifically, the preset time period is a time period pre-set based on the primary frequency regulation requirements of the power grid and the operating characteristics of the system, which can be 1 hour, 1 day, or 1 week. The control terminal can also dynamically adjust the preset time period based on the degree of power grid load fluctuation, with the greater the degree of power grid load fluctuation, the shorter the preset time period, and the smaller the degree of power grid load fluctuation, the longer the preset time period.

[0031] The degree of power grid load fluctuation can be determined based on the load fluctuation amount and frequency of the actual power load per unit time.

[0032] Specifically, the control terminal can be based on the formula Calculate the load fluctuation;

[0033] in, Indicates load fluctuation. This represents the maximum load value per unit time. This represents the minimum load value per unit of time. This represents the average load value per unit time.

[0034] The control terminal can be based on the formula The load change rate at consecutive sampling points is calculated, and the number of times the absolute value of the load change rate exceeds a single change threshold within a preset time period is counted as the fluctuation frequency. Indicates the rate of change of load. Indicates the first i The load value at each sampling point Indicates the first i-1 load value of sampling points.

[0035] Finally, the load fluctuation amount and fluctuation frequency are normalized respectively, and the normalized load fluctuation amount and fluctuation frequency are weighted and summed to obtain the current load fluctuation level. Based on the current load fluctuation level, the length of the corresponding preset time period is determined. The larger the weighted sum value, the higher the load fluctuation level, and the load fluctuation level is negatively correlated with the preset time period.

[0036] Furthermore, the load fluctuation level and the preset time period can have a negatively correlated linear relationship, which can be specifically expressed by the formula. Calculate the length of the preset time period, where, Indicates the length of the preset time period. Indicates the base duration. Indicates the unit of time. W This indicates the load fluctuation level.

[0037] S102: If the number of times the flywheel energy storage system is charged within a preset time period exceeds a first preset threshold, then the baseline SOC value of the flywheel energy storage system is reduced.

[0038] In this embodiment, the first preset threshold is a pre-set critical value used to determine whether the number of charge-discharge cycles is frequent. When the preset time period changes with the degree of load fluctuation, the first preset threshold is adjusted accordingly, and the longer the preset time period, the larger the first preset threshold.

[0039] Specifically, the initial reference SOC value of the flywheel energy storage system can be 50%, the preset time period can be 8 hours, and the corresponding first preset threshold can be 3. If the number of charging times exceeds 3 within 8 hours, the reference SOC value will be reduced within 8 hours to increase the rechargeable amount of the flywheel energy storage system when it participates in another frequency regulation charging.

[0040] S103: If the number of discharges of the flywheel energy storage system within a preset time period exceeds the first preset threshold, the reference SOC value is increased; wherein, the reference SOC value is the target SOC value maintained by the flywheel energy storage system in a non-frequency modulation state.

[0041] In this embodiment, the preset time period can be one week, and the corresponding first preset threshold can be 6 times. If the number of discharges in one week exceeds 6 times, the reference SOC value is increased in that week to increase the discharge capacity of the flywheel energy storage system when it participates in another frequency modulation discharge.

[0042] Specifically, when the flywheel energy storage system needs to reduce the reference SOC value, a discharge mode is triggered. The flywheel rotor decelerates and generates electricity, which is then inverted into AC power by the PCS (Power Conversion System) and connected to the grid. The discharge power is dynamically adjusted according to the SOC deviation. When the flywheel energy storage system needs to increase the reference SOC value, a grid-fed mode is triggered. Unity power factor grid connection is achieved through the active front-end converter of the PCS, avoiding reactive power impact on the grid. The charging power is typically controlled at 20%-30% of the rated power.

[0043] In this embodiment, if the number of charging and discharging cycles of the flywheel energy storage system within the preset time period both exceed a first preset threshold, and the difference between the number of charging and discharging cycles is not greater than a preset difference threshold, the baseline SOC value is not adjusted; if the number of charging and discharging cycles of the flywheel energy storage system within the preset time period both exceed the first preset threshold, and the difference between the number of charging cycles and the number of discharging cycles is greater than a preset difference threshold, the baseline SOC value is decreased; if the number of charging and discharging cycles of the flywheel energy storage system within the preset time period both exceed the first preset threshold, and the difference between the number of discharging cycles and the number of charging cycles is greater than a preset difference threshold, the baseline SOC value is increased.

[0044] As can be seen from the above embodiments, this embodiment dynamically adjusts the reference SOC value based on the relationship between the number of charge / discharge cycles and the first preset threshold when the flywheel energy storage system participates in a frequency regulation within a preset time period. When the grid needs frequent charging and frequency regulation, reducing the reference SOC value can reserve more charging space and avoid the inability to absorb surplus power from the grid in time due to an excessively high reference SOC value, ensuring that the system can quickly respond to charging and frequency regulation needs. When the grid needs frequent discharging and frequency regulation, increasing the reference SOC value can improve energy reserves and avoid insufficient discharging due to an excessively low reference SOC value, ensuring the effect of discharging and frequency regulation. This can solve the problem of mismatch between energy state and grid demand caused by a fixed reference SOC value in the prior art, and significantly improve the system's frequency regulation capability. Secondly, adjusting based on the target SOC value in the non-frequency regulation state ensures that the system's energy state is stable during non-frequency regulation periods, and will not affect the system's normal standby and basic energy reserves due to frequency regulation, thus taking into account both frequency regulation response and the system's normal operation requirements. Furthermore, by flexibly setting preset time periods and first preset thresholds, it can adapt to different power grid operation scenarios. Whether it is the peak period of electricity consumption with frequent load fluctuations or the off-peak period of electricity consumption with stable load, it can achieve precise adjustment by reasonably setting parameters, improve the versatility and adaptability of the solution, provide more reliable energy support for primary frequency regulation of the power grid, and further ensure the stability of the power grid frequency.

[0045] In one possible implementation, the specific implementation process of S101 includes:

[0046] S201: Count the number of times the SOC value of the flywheel energy storage system reaches the full charge threshold within a preset time period, and use this number as the number of charging cycles;

[0047] S202: Count the number of times the SOC value of the flywheel energy storage system reaches the full discharge threshold within a preset time period, and use this number as the discharge count.

[0048] In this embodiment, the control terminal can select the current preset time period by sliding a window, and the sliding step size is less than or equal to the preset time period length. Within the preset time period, the control terminal increments the charging count by one each time it detects that the real-time SOC value reaches the full charge threshold, and increments the discharging count by one each time it detects that the real-time SOC value is less than or equal to the full discharge threshold, thereby obtaining the charging count and discharging count.

[0049] Since the frequency regulation power of flywheel energy storage participating in primary frequency regulation is relatively small, even without dynamic adjustment of the reference SOC value of the flywheel energy storage system, it will not reach the full charge or full discharge condition. That is, the reference SOC value can meet the small frequency regulation power requirement. Only when the flywheel energy storage system is fully charged or fully discharged multiple times within a preset time period does it indicate that there is a large frequency regulation demand for high power within the preset time period, and the current reference SOC value cannot meet the frequency regulation demand. At this time, the reference SOC value needs to be adjusted. Therefore, this embodiment only records the number of times the flywheel energy storage system reaches the full charge threshold and the number of times the SOC value reaches the full discharge threshold within the preset time period, thereby reducing the charging and discharging operations of the flywheel energy storage system during non-frequency regulation periods, extending the system service life, reducing the risk of equipment damage, and reducing operation and maintenance costs.

[0050] In one possible implementation, the specific implementation process of S201 includes:

[0051] S301: Obtain the number of times the SOC value reached the full charge threshold within the preset time period in the N consecutive periods before the current period, and use it as the historical charging number in the same period.

[0052] S302: Obtain the number of charging times for the M time periods before the preset time period in the current cycle, and use them as the number of charging times in the current cycle;

[0053] S303: Based on the type of the current cycle, the number of times the historical charging was performed in the same period, and the number of times the current cycle has been charged, predict the number of times the SOC value will reach the full charge threshold within the preset time period; the type of the current cycle includes peak electricity consumption period, off-peak electricity consumption period, and low electricity consumption period.

[0054] In this embodiment, peak electricity consumption refers to the period within a day or a specific time when the total electricity load of the power system reaches its highest level, typically including weekday mornings (e.g., 9:00-11:00) and evenings (e.g., 18:00-22:00), and summer afternoons (e.g., 13:00-16:00). Off-peak electricity consumption refers to the period within a day or a specific time when the total electricity load of the power system is at its lowest level, typically from late night to early morning of the following day (e.g., 23:00-05:00 the following day), or daytime on holidays. Level periods refer to the transitional period between peak and off-peak electricity consumption, typically weekday afternoons or weekend daytime.

[0055] Specifically, a cycle comprises multiple time periods. Within each cycle, the electricity consumption patterns of time periods of the same priority are similar, resulting in similar grid fluctuations. This embodiment can predict the number of charges within a preset time period in the current cycle based on the number of charges in the preset time periods of the previous N cycles. Furthermore, it can further predict the number of charges in the preset time period based on the charging patterns of the previous M time periods within the current cycle. A cycle can be 1 day or 1 week, and correspondingly, a time period can be 1 day or 4 hours.

[0056] In order to adjust the reference SOC value of the flywheel energy storage system in advance and avoid the flywheel energy storage system not being adjusted to the matching reference SOC value when the frequency regulation demand arrives, this embodiment can predict the number of times the SOC value will reach the full charge threshold within the preset time period based on the type of the current cycle, the number of times the historical same-period charging has been performed, and the number of times the current cycle has been charged. After predicting the number of times the charging will be performed within the preset time period, the discharge adjustment of the reference SOC value of the flywheel energy storage system will be completed at the time when the preset time period arrives.

[0057] In one possible implementation, one step in the process of S303 described above includes:

[0058] Based on the type of the current cycle, the weather information of the current cycle, the number of times the historical charging times were used in the same period, and the number of times the current cycle has been charged, the number of times the SOC value will reach the full charge threshold within the preset time period is predicted.

[0059] In this embodiment, weather information may include temperature, wind speed, and other information. High temperatures increase electricity consumption, requiring more frequent discharges of the flywheel energy storage unit; strong winds generate more electricity, requiring more frequent charging of the flywheel energy storage unit. Therefore, this embodiment, based on the current cycle type and historical charge / discharge frequency, incorporates the influence of weather information on the number of charge / discharge cycles, thereby more accurately predicting the number of times the SOC value will reach the full charge threshold within a preset time period.

[0060] In one possible implementation, the specific implementation process of S303 includes:

[0061] The current cycle type, the number of times the historical charging was performed in the same period, and the number of times the current cycle has been charged are input into the deep learning model to obtain the number of times the SOC value reaches the full charge threshold within the preset time period.

[0062] Specifically, deep learning models can be LSTM (Long Short-Term Memory) models or hybrid deep learning models that combine Convolutional Neural Networks (CNN) and LSTM.

[0063] In this embodiment, the type of the current period, weather information, the number of times the charging has been performed in the same period in history, and the number of times the charging has been performed in the current period can all be input into the deep learning model to obtain the number of times the SOC value reaches the full charging threshold within the preset time period.

[0064] In one possible implementation, the specific implementation process of S202 above includes:

[0065] S401: Obtain the number of times the SOC value reaches the full discharge threshold within the preset time period in the N consecutive periods before the current period, and use it as the historical discharge count during the same period.

[0066] S402: Obtain the number of discharges in the M time periods before the preset time period in the current cycle, and use it as the number of discharges in the current cycle;

[0067] S403: Based on the type of the current cycle, the number of historical discharges during the same period, and the number of discharges in the current cycle, predict the number of times the SOC value will reach the full discharge threshold within the preset time period; the type of the current cycle includes peak electricity consumption period, off-peak electricity consumption period, and low electricity consumption period.

[0068] The specific implementation process of S403 includes:

[0069] By inputting the type of the current cycle, the number of discharges in the same historical period, and the number of discharges in the current cycle into the deep learning model, the number of times the SOC value reaches the full discharge threshold within the preset time period is obtained.

[0070] As can be seen from the above embodiments, this embodiment obtains the number of historical charge / discharge cycles and the number of charge / discharge cycles in the current cycle, and combines the current cycle type to predict the number of times the SOC value will reach the full charge / discharge threshold within a preset time period. Among them, the historical data reflects the charging / discharge demand trend under the long-term power consumption pattern, the number of charge / discharge cycles in the current cycle reflects the short-term operating status, and the cycle type is associated with the load characteristics of different time periods. The combination of the three can comprehensively capture the key factors affecting the number of charge / discharge cycles, avoid the prediction deviation caused by the one-sidedness of single data, significantly improve the accuracy and reliability of the charge / discharge cycle prediction, provide a more accurate predictive basis for subsequent adjustment of the baseline SOC value, make the adjustment decision more forward-looking, respond to possible charging and discharging demands in advance, and further optimize the system frequency regulation performance.

[0071] In one possible implementation, the specific implementation process of S102 includes:

[0072] If the number of times the flywheel energy storage system is charged within a preset time period exceeds a first preset threshold, the difference between the number of times the system is charged and the first preset threshold is taken as the first difference.

[0073] A first SOC adjustment value is determined based on the first difference; and the first difference is positively correlated with the first SOC adjustment value.

[0074] The reference SOC value of the flywheel energy storage system is reduced by the first SOC adjustment value.

[0075] Specifically, the more times the system is charged within a preset time period, the more frequent the charging demand for the flywheel energy storage system is within that time period, and the larger the charging space that needs to be reserved. Therefore, this embodiment can determine the amount of reduction in the reference SOC value based on the magnitude of the first difference, thereby providing a more accurate flywheel energy storage matching for primary frequency regulation.

[0076] Specifically, the first difference is the difference between the number of charging cycles and the first preset threshold. The first difference can be multiplied by the unit adjustment power to obtain the first SOC adjustment value.

[0077] In one possible implementation, another implementation process of S102 may include:

[0078] Obtain the SOC (State of Charge) value of the flywheel energy storage system during each charging process within a preset time period;

[0079] The SOC (State of Charge) value for each charging process is averaged to obtain a charging reference value;

[0080] Subtract the charging reference value from the full-scale value to obtain the adjusted baseline SOC value, and then adjust the SOC value of the flywheel energy storage system to this baseline SOC value.

[0081] Here, SOC (State of Charge) is the change in SOC of the flywheel energy storage system from the start to the end of the current charging process. Specifically, the control terminal can perform a weighted average calculation of the SOC during the charging process to obtain a charging reference value. The smaller the interval between the time period of the charging reference value and the preset time period, the larger the weight value.

[0082] In one possible implementation, the specific implementation process of S103 includes:

[0083] If the number of discharges of the flywheel energy storage system within a preset time period exceeds the first preset threshold, the difference between the number of discharges and the first preset threshold is taken as the second difference.

[0084] The second SOC adjustment value is determined based on the second difference; and the second difference is positively correlated with the second SOC adjustment value.

[0085] Increase the reference SOC value of the flywheel energy storage system by the second SOC adjustment value.

[0086] Specifically, the second difference is the difference between the number of discharges and the first preset threshold. The second difference can be multiplied by the unit adjustment power to obtain the second SOC adjustment value.

[0087] In one possible implementation, another implementation process of S103 may include:

[0088] Obtain the SOC discharge value of the flywheel energy storage system during each discharge process within a preset time period;

[0089] The SOC discharge value of each discharge process is averaged to obtain the discharge reference value;

[0090] The discharge reference value is used as the baseline SOC value, and the SOC value of the flywheel energy storage system is adjusted to this discharge reference value.

[0091] The SOC discharge value is the change in SOC of the flywheel energy storage system from the start to the end of the current discharge process. Specifically, the control terminal can perform a weighted average calculation of the SOC discharge value during the discharge process to obtain a discharge reference value. The smaller the interval between the time period of the discharge reference value and the preset time period, the larger the weight value.

[0092] As can be seen from the above embodiments, this embodiment determines the adjustment amount of the reference SOC value by the number of charge / discharge cycles, which can more accurately address the real-time frequency regulation needs of the power grid, thereby further improving the ability of flywheel energy storage to participate in primary frequency regulation.

[0093] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0094] The following are device embodiments of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.

[0095] Figure 2 A schematic diagram of the dynamic adjustment device for the reference SOC value of a flywheel energy storage system provided in an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, and are described in detail below:

[0096] like Figure 2 As shown, the dynamic adjustment device 100 for the reference SOC value of the flywheel energy storage system includes:

[0097] The charge and discharge count statistics module 110 is used to count the number of times the flywheel energy storage system participates in one frequency regulation within a preset time period;

[0098] The reference SOC value reduction module 120 is used to reduce the reference SOC value of the flywheel energy storage system if the number of times the flywheel energy storage system is charged within a preset time period exceeds a first preset threshold.

[0099] The reference SOC value adjustment module 130 is used to increase the reference SOC value if the number of discharges of the flywheel energy storage system within a preset time period exceeds the first preset threshold.

[0100] The reference SOC value is the target SOC value maintained by the flywheel energy storage system in a non-frequency regulation state.

[0101] As can be seen from the above embodiments, the dynamic adjustment device for the reference SOC value of the flywheel energy storage system provided in this embodiment dynamically adjusts the reference SOC value based on the relationship between the number of charge and discharge cycles of the flywheel energy storage system participating in a single frequency regulation within a preset time period and a first preset threshold value. This solves the problem of mismatch between energy state and grid demand caused by a fixed reference SOC value in the prior art. When the grid needs frequent charging and frequency regulation, reducing the reference SOC value can reserve more charging space and avoid the inability to absorb surplus power from the grid in time due to an excessively high reference SOC value, ensuring that the system can quickly respond to charging and frequency regulation needs. When the grid needs frequent discharging and frequency regulation, increasing the reference SOC value can improve energy reserves and avoid insufficient discharging due to an excessively low reference SOC value, ensuring the effect of discharging and frequency regulation and significantly improving the system's frequency regulation capability.

[0102] In one possible implementation, the charge / discharge count module 110 includes:

[0103] The charging count unit is used to count the number of times the SOC value of the flywheel energy storage system reaches the full charge threshold within a preset time period, and use it as the charging count.

[0104] The discharge count unit is used to count the number of times the SOC value of the flywheel energy storage system reaches the full discharge threshold within a preset time period, and use this count as the discharge count.

[0105] In one possible implementation, the charging count unit includes:

[0106] The historical charging frequency acquisition unit is used to acquire the number of times the SOC value reached the full charge threshold within the preset time period in the N consecutive periods before the current period, and use it as the historical charging frequency.

[0107] The current cycle charging count acquisition unit is used to acquire the charging count of M time periods before the preset time period in the current cycle, and use it as the current cycle charging count.

[0108] The charging count determination unit is used to predict the number of times the SOC value will reach the full charge threshold within the preset time period based on the type of the current period, the number of charging times in the same historical period, and the number of charging times in the current period; the type of the current period includes peak electricity consumption period, off-peak electricity consumption period, and low electricity consumption period.

[0109] In one possible implementation, the charging count determination unit includes:

[0110] The current cycle type, the number of times the historical charging was performed in the same period, and the number of times the current cycle has been charged are input into the deep learning model to obtain the number of times the SOC value reaches the full charge threshold within the preset time period.

[0111] In one possible implementation, the baseline SOC value downgrading module 120 includes:

[0112] If the number of times the flywheel energy storage system is charged within a preset time period exceeds a first preset threshold, the difference between the number of times the system is charged and the first preset threshold is taken as the first difference.

[0113] A first SOC adjustment value is determined based on the first difference; and the first difference is positively correlated with the first SOC adjustment value.

[0114] The reference SOC value of the flywheel energy storage system is reduced by the first SOC adjustment value.

[0115] In one possible implementation, the baseline SOC value adjustment module 130 includes:

[0116] If the number of discharges of the flywheel energy storage system within a preset time period exceeds the first preset threshold, the difference between the number of discharges and the first preset threshold is taken as the second difference.

[0117] The second SOC adjustment value is determined based on the second difference; and the second difference is positively correlated with the second SOC adjustment value.

[0118] Increase the reference SOC value of the flywheel energy storage system by the second SOC adjustment value.

[0119] Figure 3 This is a schematic diagram of a terminal provided in an embodiment of the present invention. Figure 3 As shown, the terminal 3 in this embodiment includes: a processor 30, a memory 31, and a computer program 32 stored in the memory 31 and executable on the processor 30. When the processor 30 executes the computer program 32, it implements the steps in the above embodiments of the dynamic adjustment method for the reference SOC value of each flywheel energy storage system, for example... Figure 1 Steps S101 to S103 are shown. Alternatively, when the processor 30 executes the computer program 32, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 2 The functions of modules 110 to 130 are shown.

[0120] For example, the computer program 32 can be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 32 in the terminal 3.

[0121] The terminal 3 can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal 3 may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art will understand that... Figure 3 This is merely an example of terminal 3 and does not constitute a limitation on terminal 3. It may include more or fewer components than shown, or combine certain components, or different components. For example, the terminal may also include input / output devices, network access devices, buses, etc.

[0122] The processor 30 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0123] The memory 31 can be an internal storage unit of the terminal 3, such as a hard disk or memory of the terminal 3. The memory 31 can also be an external storage device of the terminal 3, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the terminal 3. Furthermore, the memory 31 can include both internal storage units and external storage devices of the terminal 3. The memory 31 is used to store the computer program and other programs and data required by the terminal. The memory 31 can also be used to temporarily store data that has been output or will be output.

[0124] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0125] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0126] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0127] In the embodiments provided by this invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0128] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0129] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0130] If the integrated module / unit is implemented as 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, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of the above embodiments of the dynamic adjustment method for the reference SOC value of each flywheel energy storage system. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0131] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for dynamically adjusting the reference SOC value of a flywheel energy storage system, characterized in that, include: The number of times the flywheel energy storage system participates in frequency regulation within a preset time period is statistically analyzed; If the number of times the flywheel energy storage system is charged within the preset time period exceeds a first preset threshold, the baseline SOC value of the flywheel energy storage system is reduced. If the number of discharges of the flywheel energy storage system within the preset time period exceeds the first preset threshold, then the reference SOC value is increased; Wherein, the reference SOC value is the target SOC value maintained by the flywheel energy storage system in a non-frequency regulation state; The statistical flywheel energy storage system participates in one frequency regulation cycle and discharges multiple times within a preset time period, including: The number of times the SOC value of the flywheel energy storage system reaches the full charge threshold within a preset time period is counted and used as the number of charging times; The number of times the SOC value of the flywheel energy storage system reaches the full discharge threshold within the preset time period is counted and used as the number of discharges; The number of times the SOC value of the flywheel energy storage system reaches the full charge threshold within a preset time period is counted and used as the number of charging cycles, including: Get the number of times the SOC value reached the full charge threshold within the preset time period in the N consecutive periods before the current period, and use it as the number of times the SOC value reached the full charge threshold in the same period in history. Obtain the number of charging times for the M time periods before the preset time period within the current cycle, and use this as the number of charging times for the current cycle; Based on the type of the current cycle, the number of times the historical charging was performed during the same period, and the number of times the current cycle has been charged, the number of times the SOC value reaches the full charge threshold within the preset time period is predicted; the type of the current cycle includes peak electricity consumption period, off-peak electricity consumption period, and low electricity consumption period.

2. The method for dynamically adjusting the reference SOC value of a flywheel energy storage system according to claim 1, characterized in that, The method of predicting the number of times the SOC value reaches the full charge threshold within the preset time period based on the current cycle type, the historical charging counts during the same period, and the number of times the current cycle has been charged includes: The current cycle type, the number of times the historical charging was performed in the same period, and the number of times the current cycle has been charged are input into the deep learning model to obtain the number of times the SOC value reaches the full charge threshold within the preset time period.

3. The method for dynamically adjusting the reference SOC value of a flywheel energy storage system according to claim 1, characterized in that, If the number of charging cycles of the flywheel energy storage system within a preset time period exceeds a first preset threshold, the baseline SOC value of the flywheel energy storage system is reduced, including: If the number of times the flywheel energy storage system is charged within a preset time period exceeds a first preset threshold, the difference between the number of times the system is charged and the first preset threshold is taken as the first difference. A first SOC adjustment value is determined based on the first difference; and the first difference is positively correlated with the first SOC adjustment value. The reference SOC value of the flywheel energy storage system is reduced by the first SOC adjustment value.

4. The method for dynamically adjusting the reference SOC value of a flywheel energy storage system according to claim 1, characterized in that, If the number of discharges of the flywheel energy storage system within a preset time period exceeds the first preset threshold, the baseline SOC value is increased, including: If the number of discharges of the flywheel energy storage system within a preset time period exceeds the first preset threshold, the difference between the number of discharges and the first preset threshold is taken as the second difference. The second SOC adjustment value is determined based on the second difference; and the second difference is positively correlated with the second SOC adjustment value. Increase the reference SOC value of the flywheel energy storage system by the second SOC adjustment value.

5. A dynamic adjustment device for the reference SOC value of a flywheel energy storage system, characterized in that, include: The charge / discharge count module is used to count the number of times the flywheel energy storage system participates in one frequency regulation within a preset time period; The reference SOC value reduction module is used to reduce the reference SOC value of the flywheel energy storage system if the number of times the flywheel energy storage system is charged within the preset time period exceeds a first preset threshold. The reference SOC value adjustment module is used to increase the reference SOC value if the number of discharges of the flywheel energy storage system within the preset time period exceeds the first preset threshold. Wherein, the reference SOC value is the target SOC value maintained by the flywheel energy storage system in a non-frequency regulation state; The charge / discharge count module includes: The charging count unit is used to count the number of times the SOC value of the flywheel energy storage system reaches the full charge threshold within a preset time period, and use it as the charging count. The discharge count unit is used to count the number of times the SOC value of the flywheel energy storage system reaches the full discharge threshold within a preset time period, and use it as the discharge count. The charging count counting unit includes: Get the number of times the SOC value reached the full charge threshold within the preset time period in the N consecutive periods before the current period, and use it as the number of times the SOC value reached the full charge threshold in the same period in history. Obtain the number of charging times for the M time periods before the preset time period within the current cycle, and use this as the number of charging times for the current cycle; Based on the type of the current cycle, the number of times the historical charging was performed during the same period, and the number of times the current cycle has been charged, the number of times the SOC value reaches the full charge threshold within the preset time period is predicted; the type of the current cycle includes peak electricity consumption period, off-peak electricity consumption period, and low electricity consumption period.

6. A terminal, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the dynamic adjustment method for the reference SOC value of the flywheel energy storage system as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the dynamic adjustment method for the reference SOC value of the flywheel energy storage system as described in any one of claims 1 to 4.

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