A method and system for power coordination of multiple grid-connected energy storage units operating in parallel

Abstract

The present application relates to the technical field of energy storage, in particular to a network-constructed energy storage multi-machine parallel operation power coordination method and system. In the present application, the real-time temperature data of each energy storage unit is subjected to time series processing to obtain a temperature change table, and then the temperature change rate threshold corresponding to each energy storage unit is calculated. In combination with the temperature change table and the temperature change rate threshold, it can be judged whether the droop coefficient of the energy storage unit needs to be adjusted. The droop coefficient can be adjusted according to the target real-time temperature change rate, and the output power of the energy storage unit can be adjusted according to the obtained droop coefficient adjustment value, so as to realize the normal distribution of the output power among the energy storage units. Finally, by comparing the deviation rate of the theoretical distribution power and the real-time running power, it can be judged whether the power adjustment of the energy storage unit is reasonable. If not, the droop coefficient needs to be adjusted again. This closed-loop control can continuously optimize the power distribution of the energy storage unit.

Description

Technical Field

[0001] This invention relates to the field of energy storage technology, and in particular to a method and system for coordinating the power of multiple parallel operation units in a grid-type energy storage system. Background Technology

[0002] In a grid-connected energy storage system with multiple units operating in parallel, each energy storage unit possesses a degree of autonomy and independence, capable of adjusting its output power independently based on grid demand and its own status. Droop control is a widely used control strategy in scenarios involving multiple power sources operating in parallel, such as distributed generation systems and energy storage systems. It simulates the droop characteristics of a traditional synchronous generator, achieving rational power distribution by adjusting the output voltage and frequency of the power source.

[0003] However, the temperature of existing energy storage units changes during operation, and this temperature change causes a change in the internal resistance of the energy storage unit. This change in internal resistance leads to a change in the output power of the energy storage unit, thereby disrupting the originally intended power distribution scheme. Summary of the Invention

[0004] The main objective of this invention is to provide a power coordination method and system for multi-unit parallel operation of grid-type energy storage, aiming to solve the technical problems in the prior art.

[0005] This invention proposes a power coordination method for multi-unit parallel operation of grid-type energy storage, comprising:

[0006] Acquire the thermal stability information and basic attribute information of each energy storage unit. The thermal stability information includes the thermal time constant and the allowable temperature fluctuation range of the energy storage unit.

[0007] The temperature acquisition frequency of the temperature sensor of each energy storage unit is obtained according to the thermal stability information. Real-time temperature data of the corresponding energy storage unit is obtained according to the temperature acquisition frequency of the temperature sensor. The multiple real-time temperature data are sorted according to the acquisition time to obtain a temperature change table, wherein the temperature change table includes the real-time temperature change rate corresponding to different times.

[0008] Calculate the temperature change rate threshold for each energy storage unit based on the temperature change table and basic attribute information;

[0009] The target real-time temperature change rate corresponding to the target time point of each energy storage unit is obtained according to the temperature change table, and it is determined whether the target real-time temperature change rate exceeds the temperature change rate threshold.

[0010] If the target real-time temperature change rate exceeds the temperature change rate threshold, the droop coefficient is adjusted according to the target real-time temperature change rate to obtain the droop coefficient adjustment value.

[0011] The frequency information of each energy storage unit is obtained by a digital frequency meter, and the real-time operating power of the corresponding energy storage unit is calculated based on each frequency information and the corresponding droop coefficient adjustment value.

[0012] Obtain the theoretical allocated power of each energy storage unit, and calculate the power deviation rate of each energy storage unit based on the theoretical allocated power and the real-time operating power;

[0013] Determine whether the power deviation rate of each energy storage unit is greater than a preset value;

[0014] If the power deviation rate of all energy storage units is not greater than the preset value, then the power allocation of each energy storage unit is determined to be reasonable.

[0015] If the power deviation rate of any energy storage unit is greater than the preset value, it is determined that the power distribution of each energy storage unit is unreasonable, and the droop coefficient is adjusted a second time according to the droop coefficient adjustment value until the power distribution of each energy storage unit is reasonable.

[0016] Preferably, the steps of obtaining the temperature acquisition frequency of the temperature sensor for each energy storage unit based on the thermal stability information, acquiring the real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency, and performing time series processing on multiple real-time temperature data to obtain a temperature change table include:

[0017] Obtain the sensor accuracy of the temperature sensor for each energy storage unit;

[0018] The temperature acquisition frequency is calculated based on the accuracy of each sensor and the thermal time constant and allowable temperature fluctuation range of the corresponding energy storage unit.

[0019] The real-time temperature data of the corresponding energy storage unit is obtained according to the temperature acquisition frequency, wherein the real-time temperature data includes the real-time internal temperature value, the real-time surface temperature value and the real-time ambient temperature value.

[0020] The real-time internal temperature values ​​of each energy storage unit are sorted in chronological order, and the temperature difference between the real-time internal temperature values ​​at adjacent time points is calculated.

[0021] The temperature change rate is calculated based on the temperature difference and temperature acquisition frequency, and a temperature change table is constructed using the real-time internal temperature value, real-time surface temperature value, real-time ambient temperature value, temperature difference, and temperature change rate.

[0022] Preferably, the step of calculating the temperature change rate threshold for each energy storage unit based on the temperature change table and basic attribute information includes:

[0023] The initial temperature value, real-time surface temperature value, and real-time ambient temperature value of the energy storage unit are obtained according to the temperature change table.

[0024] The heat flux density of the energy storage unit is obtained from the heat flux meter, and the heat dissipation coefficient of the energy storage unit is calculated based on the heat flux density, real-time surface temperature value, and real-time ambient temperature value. The calculation formula is as follows:

[0025] ;

[0026] in, Indicates the heat dissipation coefficient. Represents heat flux density, This indicates the real-time surface temperature value. This indicates the real-time ambient temperature value.

[0027] Obtain the basic attribute information for each energy storage unit. and quality;

[0028] The maximum allowable operating temperature and specific heat capacity of each energy storage unit are obtained based on the aforementioned basic attribute information.

[0029] The temperature change rate threshold is calculated based on the initial temperature value, heat dissipation coefficient, heat dissipation surface area, mass, maximum allowable operating temperature, and specific heat capacity, wherein the calculation formula is:

[0030] ;

[0031] in, Indicates the threshold of the rate of temperature change. Indicates the heat dissipation coefficient. Indicates the maximum allowable operating temperature. Indicates the initial temperature value. Indicates quality, This indicates specific heat capacity.

[0032] Preferably, the step of adjusting the droop coefficient according to the target real-time temperature change rate to obtain the droop coefficient adjustment value includes:

[0033] Obtain the temperature-droop correlation function for each energy storage unit, wherein the expression for the temperature-droop correlation function is:

[0034] ;

[0035] in, This represents the initial droop coefficient. Represents the natural constant. Represents the correlation coefficient. Indicates the rate of temperature change;

[0036] The droop coefficient adjustment value is calculated based on the temperature-droop correlation function and the target real-time temperature change rate, wherein the calculation formula is:

[0037] ;

[0038] in, This represents the droop adjustment value corresponding to the target time point. This represents the initial droop coefficient. Represents the natural constant. Represents the correlation coefficient. This represents the real-time temperature change rate corresponding to the target time point.

[0039] Preferably, the step of calculating the real-time operating power of the corresponding energy storage unit based on each frequency information and the corresponding droop coefficient adjustment value includes:

[0040] Based on the frequency information, obtain the system frequency and no-load frequency corresponding to each energy storage unit;

[0041] The no-load power of each energy storage unit is obtained based on the aforementioned basic attribute information;

[0042] The real-time operating power is calculated based on the no-load power, real-time droop adjustment coefficient, system frequency, and no-load frequency, wherein the calculation formula is:

[0043] ;

[0044] in, Indicates the first Real-time operating power of each energy storage unit Indicates the first The no-load frequency of each energy storage unit Indicates the first Real-time adjustment of droop coefficient for each energy storage unit Indicates the first The system frequency of each energy storage unit Indicates the first The no-load frequency of each energy storage unit.

[0045] Preferably, the step of performing a secondary adjustment of the droop coefficient based on the droop coefficient adjustment value includes:

[0046] The sag coefficient adjustment value is used as the initial sag coefficient and substituted into the temperature-sag correlation function to obtain the temperature-sag correction function.

[0047] The temperature-droop correction function is used as the temperature-droop correlation function and returned to the step of adjusting the droop coefficient according to the real-time temperature change rate of the target to obtain a new droop coefficient adjustment value.

[0048] This application also provides a grid-type energy storage multi-unit parallel operation power coordination system, including:

[0049] The first acquisition module is used to acquire the thermal stability information and basic attribute information of each energy storage unit. The thermal stability information includes the thermal time constant and the allowable temperature fluctuation range of the energy storage unit.

[0050] The second acquisition module is used to acquire the temperature acquisition frequency of the temperature sensor of each energy storage unit according to each thermal stability information, acquire the real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency of the temperature sensor, and sort the multiple real-time temperature data according to the acquisition time to obtain a temperature change table, wherein the temperature change table includes the real-time temperature change rate corresponding to different times.

[0051] The first calculation module is used to calculate the temperature change rate threshold corresponding to each energy storage unit based on the temperature change table and basic attribute information.

[0052] The first judgment module is used to obtain the target real-time temperature change rate corresponding to the target time point of each energy storage unit according to the temperature change table, and to determine whether the target real-time temperature change rate exceeds the temperature change rate threshold.

[0053] The first adjustment module is used to adjust the droop coefficient according to the target real-time temperature change rate if the target real-time temperature change rate exceeds the temperature change rate threshold, so as to obtain the droop coefficient adjustment value.

[0054] The second adjustment module is used to obtain the frequency information of each energy storage unit according to the digital frequency meter, and to calculate the real-time operating power of the corresponding energy storage unit according to each frequency information and the corresponding droop coefficient adjustment value.

[0055] The second calculation module is used to obtain the theoretical allocated power of each energy storage unit and calculate the power deviation rate of each energy storage unit based on the theoretical allocated power and the real-time operating power.

[0056] The second judgment module is used to determine whether the power deviation rate of each energy storage unit is greater than a preset value;

[0057] If the power deviation rate of all energy storage units is not greater than the preset value, then the power allocation of each energy storage unit is determined to be reasonable.

[0058] If the power deviation rate of any energy storage unit is greater than the preset value, it is determined that the power distribution of each energy storage unit is unreasonable, and the droop coefficient is adjusted a second time according to the droop coefficient adjustment value until the power distribution of each energy storage unit is reasonable.

[0059] Preferably, the second acquisition module includes:

[0060] The first acquisition unit is used to acquire the sensor accuracy of the temperature sensor of each energy storage unit;

[0061] The first calculation unit is used to calculate the temperature acquisition frequency based on the accuracy of each sensor and the thermal time constant and temperature fluctuation range of the corresponding energy storage unit.

[0062] The second acquisition unit is used to acquire real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency, wherein the real-time temperature data includes real-time internal temperature value, real-time surface temperature value and real-time ambient temperature value.

[0063] The second calculation unit is used to sort the real-time internal temperature values ​​of each energy storage unit in chronological order and calculate the temperature difference between the real-time internal temperature values ​​at adjacent time points.

[0064] The third acquisition unit is used to calculate the temperature change rate based on the temperature difference and temperature acquisition frequency, and to construct a temperature change table using the real-time internal temperature value, real-time surface temperature value, real-time ambient temperature value, temperature difference, and temperature change rate.

[0065] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described power coordination method for multi-unit parallel operation of grid-type energy storage.

[0066] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described power coordination method for multi-unit parallel operation of grid-type energy storage.

[0067] The beneficial effects of this invention are as follows: This invention acquires real-time temperature data for each energy storage unit using a temperature sensor at a specific temperature acquisition frequency. A temperature change table is obtained after time-series processing of the real-time temperature data. This table provides clear data support for subsequent judgments regarding whether the temperature changes of the energy storage unit are abnormal and whether the droop coefficient needs adjustment. Next, a temperature change rate threshold is calculated for each energy storage unit. The temperature change rate threshold is a key indicator for determining whether the temperature change is normal. Then, the target real-time temperature change rate obtained from the temperature change table is compared with the temperature change rate threshold. If the target real-time temperature change rate is not greater than the temperature change rate threshold, it indicates that the temperature change of the energy storage unit is within the normal range. If the target real-time temperature change rate is greater than the temperature change rate threshold, it indicates that the temperature change of the energy storage unit has exceeded the normal range, thus requiring adjustment of the droop coefficient of the energy storage unit. This threshold-based judgment method avoids overly sensitive or sluggish temperature change responses, allowing the system to adjust the droop coefficient only when necessary, reducing unnecessary adjustments. Then, the droop coefficient is adjusted based on the target real-time temperature change rate to obtain the adjusted droop coefficient value. The real-time operating power of the energy storage unit is calculated based on this adjusted value. Finally, by comparing the deviation rate between the theoretically allocated power and the real-time operating power, it can be determined whether the power adjustment of the energy storage unit has achieved the expected effect. If the power deviation rate of any energy storage unit exceeds a preset value, the power allocation of each energy storage unit is determined to be unreasonable, and the droop coefficient needs to be adjusted a second time until the power allocation is reasonable. Through judgment and secondary adjustment, a complete closed-loop control is formed. This closed-loop control can continuously optimize the power allocation of the energy storage unit, ensuring that the energy storage system can achieve reasonable power allocation under temperature changes. Attached Figure Description

[0068] Figure 1 This is a schematic diagram of a method flow according to an embodiment of this application.

[0069] Figure 2 This is a schematic diagram of the system structure according to an embodiment of this application.

[0070] Figure 3 This is a schematic diagram of the internal structure of a computer device according to an embodiment of this application.

[0071] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0072] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0073] like Figures 1-3As shown, this application provides a power coordination method for multi-unit parallel operation of grid-connected energy storage systems, including:

[0074] S1. Obtain the thermal stability information and basic attribute information of each energy storage unit, wherein the thermal stability information includes the thermal time constant and the allowable temperature fluctuation range of the energy storage unit;

[0075] S2. Obtain the temperature acquisition frequency of the temperature sensor of each energy storage unit according to each thermal stability information, obtain the real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency of the temperature sensor, and sort the multiple real-time temperature data according to the acquisition time to obtain a temperature change table, wherein the temperature change table includes the real-time temperature change rate corresponding to different times.

[0076] S3. Calculate the temperature change rate threshold for each energy storage unit based on the temperature change table and basic attribute information.

[0077] S4. Obtain the target real-time temperature change rate corresponding to the target time point of each energy storage unit according to the temperature change table, and determine whether the target real-time temperature change rate exceeds the temperature change rate threshold.

[0078] S5. If the target real-time temperature change rate exceeds the temperature change rate threshold, the droop coefficient is adjusted according to the target real-time temperature change rate to obtain the droop coefficient adjustment value.

[0079] S6. Obtain the frequency information of each energy storage unit according to the digital frequency meter, and calculate the real-time operating power of the corresponding energy storage unit according to each frequency information and the corresponding droop coefficient adjustment value.

[0080] S7. Obtain the theoretical allocated power of each energy storage unit, and calculate the power deviation rate of each energy storage unit based on the theoretical allocated power and the real-time operating power.

[0081] S8. Determine whether the power deviation rate of each energy storage unit is greater than a preset value;

[0082] If the power deviation rate of all energy storage units is not greater than the preset value, then the power allocation of each energy storage unit is determined to be reasonable.

[0083] If the power deviation rate of any energy storage unit is greater than the preset value, it is determined that the power distribution of each energy storage unit is unreasonable, and the droop coefficient is adjusted a second time according to the droop coefficient adjustment value until the power distribution of each energy storage unit is reasonable.

[0084] As described in steps S1-S8 above, each energy storage unit in a grid-connected multi-unit parallel energy storage system possesses a certain degree of autonomy and independence, enabling it to autonomously adjust its output power according to the grid's demands and its own state. Droop control is a widely used control strategy in multi-power-source parallel operation scenarios such as distributed generation systems and energy storage systems. It simulates the droop characteristics of a traditional synchronous generator, achieving rational power distribution by adjusting the power supply's output voltage and frequency. However, existing energy storage units experience temperature changes during operation, which alters their internal resistance. This change in internal resistance leads to variations in the unit's output power, potentially disrupting the intended power distribution scheme. This invention addresses this by acquiring the thermal stability and basic attribute information of each energy storage unit. Thermal stability information refers to temperature-related parameters that maintain stable performance during operation, such as the thermal time constant and the maximum and minimum temperatures the unit can withstand without performance degradation. Basic attribute information refers to the inherent physical characteristics and fundamental features of the energy storage unit, which remain unchanged by external environmental variations, such as its heat dissipation surface area, mass, specific heat capacity, and no-load power. Based on the thermal stability information, the temperature sampling frequency of the temperature sensor connected to each energy storage unit is obtained. The temperature sampling frequency refers to the number of times the temperature sensor measures and records the energy storage unit's temperature per unit time. A reasonable sampling frequency ensures accurate monitoring of temperature changes. By performing time-series processing on the acquired real-time temperature data, a temperature change table is generated, visually presenting the temperature changes over time. The process involves several steps. Real-time temperature data refers to the temperature values ​​of the energy storage unit's interior, surface, and surrounding environment at various times, acquired by temperature sensors at a set sampling frequency. This data allows for real-time monitoring of the energy storage unit's temperature status. Further time-series processing of this data provides a clear picture of temperature changes over time, offering crucial data support for determining whether temperature changes are abnormal and whether adjustments to the droop coefficient are necessary. Next, based on the temperature change table and basic attribute information, a temperature change rate threshold is calculated for each energy storage unit. This threshold is a key indicator of whether temperature changes are normal. Using the previously obtained temperature change table, the target real-time temperature change rate can be obtained. This target real-time temperature change rate refers to the rate of temperature change of the energy storage unit within a specific time period. The target real-time temperature change rate is then compared to the temperature change rate threshold. If the target real-time temperature change rate is not greater than the threshold, the temperature change of the energy storage unit is within the normal range. If the target real-time temperature change rate is greater than the threshold, the temperature change of the energy storage unit has exceeded the normal range, requiring adjustment of the energy storage unit's droop coefficient.This threshold-based judgment method avoids overly sensitive or sluggish temperature change responses, allowing the system to adjust the droop coefficient only when necessary, reducing unnecessary adjustments. Then, the droop coefficient is adjusted based on the target real-time temperature change rate to obtain the adjusted droop coefficient value. This adjusted value refers to the value obtained after adjusting the original droop coefficient of the energy storage unit. When the droop coefficient of the energy storage unit changes, the distributed power of the energy storage unit will also change accordingly. Next, based on the frequency information of the energy storage unit and the corresponding droop coefficient adjustment value, the real-time operating power of the energy storage unit can be calculated. The frequency information refers to the frequency of the AC power output by the energy storage unit, including no-load frequency and load frequency. The real-time operating power refers to the power that the energy storage unit should output, calculated based on the functional relationship between the temperature change rate and the droop coefficient. Finally, the power is compared with the theoretical value. The deviation rate between the theoretically allocated power and the real-time operating power indicates whether the power adjustment has achieved the expected effect. The theoretically allocated power refers to the pre-set power that each energy storage unit should be allocated. The power deviation rate is calculated as: Power Deviation Rate = [(Real-time Operating Power - Theoretical Allocated Power) / Theoretical Allocated Power] * 100%. If the power deviation rate of each energy storage unit is not greater than the preset value, the power allocation of each energy storage unit is considered reasonable. If the power deviation rate of any energy storage unit is greater than the preset value, the power allocation of each energy storage unit is considered unreasonable, and the droop coefficient needs to be adjusted a second time until the power allocation is reasonable. Through judgment and secondary adjustment, a complete closed-loop control is formed. This closed-loop control can continuously optimize the power allocation of energy storage units, ensuring that the energy storage system can achieve reasonable power allocation under temperature changes.

[0085] In one embodiment, step S2, which involves obtaining the temperature acquisition frequency of the temperature sensor for each energy storage unit based on the thermal stability information, acquiring real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency, and performing time series processing on multiple real-time temperature data to obtain a temperature change table, includes:

[0086] S21. Obtain the sensor accuracy of the temperature sensor for each energy storage unit;

[0087] S22. Calculate the temperature acquisition frequency based on the accuracy of each sensor and the thermal time constant and allowable temperature fluctuation range of the corresponding energy storage unit, wherein the calculation formula is:

[0088] ;

[0089] in, Indicates the temperature sampling frequency. This indicates the allowable temperature fluctuation range. Represents the thermal time constant. Indicates sensor accuracy;

[0090] S23. Obtain the real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency, wherein the real-time temperature data includes the real-time internal temperature value, the real-time surface temperature value and the real-time ambient temperature value.

[0091] S24. Sort the real-time internal temperature values ​​of each energy storage unit in chronological order, and calculate the temperature difference between the real-time internal temperature values ​​at adjacent time points.

[0092] S25. Calculate the temperature change rate based on the temperature difference and temperature acquisition frequency, and construct a temperature change table using the real-time internal temperature value, real-time surface temperature value, real-time ambient temperature value, temperature difference, and temperature change rate.

[0093] As described in steps S21-S25 above, this invention, by specifying the sensor accuracy of the temperature sensor for each energy storage unit, allows for consideration of measurement errors in subsequent data processing. The temperature acquisition frequency is calculated based on the sensor accuracy, the thermal time constant of the corresponding energy storage unit, and the allowable temperature fluctuation range. The thermal time constant refers to the time required for the energy storage unit's temperature to change to 63.2% of the difference between its initial and final stable temperatures. The allowable temperature fluctuation range refers to the range within which the energy storage unit's temperature can fluctuate during normal operation. When calculating the temperature acquisition frequency using the above formula, we first aim for the temperature sensor to provide at least (allowable temperature fluctuation range / sensor accuracy) different measurement values ​​as the energy storage unit's temperature changes from its lowest to its highest allowable value. This ensures accurate monitoring of temperature changes within the allowable temperature fluctuation range. Furthermore, by considering the thermal time constant, we can better capture the time required for the temperature to reach a steady-state value. The purpose of calculating the temperature acquisition frequency is to avoid excessive data acquisition while ensuring effective monitoring of temperature changes. To save system resources and reduce data processing volume, real-time temperature data of each energy storage unit is acquired through temperature sensors based on the calculated temperature acquisition frequency. This facilitates timely detection of temperature anomalies and prevents damage or performance degradation of energy storage units due to overheating. The real-time temperature data of each energy storage unit is then sorted chronologically, and the temperature change rate is calculated based on the temperature difference between adjacent time points and the temperature acquisition frequency. The temperature change rate refers to the magnitude of temperature change of the energy storage unit per unit time. Finally, a temperature change table is constructed using real-time internal temperature values, real-time surface temperature values, real-time ambient temperature values, temperature difference, and temperature change rate. The real-time internal temperature value refers to the internal temperature of the energy storage unit at the target time point, the real-time surface temperature value refers to the surface temperature of the energy storage unit at the target time point, and the real-time ambient temperature value refers to the ambient temperature of the energy storage unit at the target time point. The constructed temperature change table provides a comprehensive view of temperature changes. This table provides strong data support for subsequent operations such as determining whether the temperature change rate exceeds a threshold, assessing the impact of temperature on energy storage unit performance, and formulating corresponding control strategies.

[0094] In one embodiment, step S3, which calculates the temperature change rate threshold for each energy storage unit based on the temperature change table and basic attribute information, includes:

[0095] S31. Obtain the initial temperature value, real-time surface temperature value, and real-time ambient temperature value of the energy storage unit according to the temperature change table.

[0096] S32. Obtain the heat flux density of the energy storage unit based on the heat flux meter, and calculate the heat dissipation coefficient of the energy storage unit based on the heat flux density, real-time surface temperature value, and real-time ambient temperature value, wherein the calculation formula is:

[0097] ;

[0098] in, Indicates the heat dissipation coefficient. Represents heat flux density, This indicates the real-time surface temperature value. This indicates the real-time ambient temperature value.

[0099] S33. Obtain the basic attribute information for each energy storage unit. and quality;

[0100] S34. Obtain the maximum allowable operating temperature and specific heat capacity of each energy storage unit based on the basic attribute information;

[0101] S35. Calculate the temperature change rate threshold based on the initial temperature value, heat dissipation coefficient, heat dissipation surface area, mass, maximum allowable operating temperature, and specific heat capacity, wherein the calculation formula is:

[0102] ;

[0103] in, Indicates the threshold of the rate of temperature change. Indicates the heat dissipation coefficient. Indicates the maximum allowable operating temperature. Indicates the initial temperature value. Indicates quality, This indicates specific heat capacity.

[0104] As described in steps S31-S35 above, in this invention, the heat dissipation coefficient of the energy storage unit is calculated based on the heat flux density, real-time surface temperature, and real-time ambient temperature. Heat flux density refers to the amount of heat passing through a unit area per unit time, and the heat dissipation coefficient refers to the heat dissipation capacity of the energy storage unit. The formula for calculating the heat dissipation coefficient is based on Newton's law of cooling, which describes the relationship between the rate of heat dissipation (or heat absorption) between an object and its surrounding environment and the temperature difference between the object and the environment. The calculated heat dissipation coefficient can intuitively assess the heat dissipation capacity of the energy storage unit. Then, the temperature change rate threshold is calculated based on the initial temperature, heat dissipation coefficient, heat dissipation surface area, mass, maximum allowable operating temperature, and specific heat capacity. According to the heat balance equation, in steady state, the heat generated by the energy storage unit is equal to the heat dissipated through the heat dissipation surface. When the temperature of the energy storage unit rises from the initial temperature, its temperature change rate is related to the balance between heat generation and heat dissipation, as well as the heat capacity. From the perspective of heat balance, when the maximum allowable temperature difference is reached, in this critical state, the balance between the heat generation rate and the heat dissipation capacity determines the limit of temperature change. The heat generation rate (i.e., the heat dissipation capacity) can be obtained from the heat balance equation. By combining this with the heat calculation formula, the formula for calculating the temperature change rate threshold can be obtained. The value obtained through this formula is the maximum rate at which the temperature can rise under the condition of ensuring thermal safety, i.e., the temperature change rate threshold. Furthermore, this calculation method can determine a personalized temperature change rate threshold for each energy storage unit, which makes the judgment of temperature changes of each energy storage unit more accurate and helps to improve the accuracy of the system in judging temperature anomalies.

[0105] In one embodiment, step S5, which adjusts the droop coefficient according to the target real-time temperature change rate to obtain the droop coefficient adjustment value, includes:

[0106] S51. Obtain the temperature-droop correlation function for each energy storage unit, wherein the expression of the temperature-droop correlation function is:

[0107] ;

[0108] in, This represents the initial droop coefficient. Represents the natural constant. Represents the correlation coefficient. Indicates the rate of temperature change;

[0109] S52. Calculate the droop coefficient adjustment value based on the temperature-droop correlation function and the target real-time temperature change rate, wherein the calculation formula is:

[0110] ;

[0111] in, This represents the droop adjustment value corresponding to the target time point. This represents the initial droop coefficient. Represents the natural constant. Represents the correlation coefficient. This represents the real-time temperature change rate corresponding to the target time point.

[0112] As described in steps S51-S52 above, this invention obtains the temperature-droop correlation function for each energy storage unit. The temperature-droop correlation function is a mathematical function that quantitatively describes the relationship between the droop coefficient of an energy storage unit and the rate of temperature change. It reflects how the droop coefficient of the energy storage unit should change accordingly with temperature changes to maintain the stable operation of the energy storage system. The temperature-droop correlation function establishes a clear relationship between temperature and the droop coefficient. Through this function, it can be seen how the droop coefficient changes with the rate of temperature change, providing a flexible adjustment rule for subsequent calculations. Then, the target real-time temperature change rate obtained from the temperature change table is substituted into the temperature-droop correlation function to obtain the droop coefficient adjustment value. For example, assuming... =0.3Hz / W, =0.2S / K, When = 1K / S, the result is obtained through the formula. ≈0.36Hz / W. This adjustment method is conducive to the precise adjustment of the droop coefficient, so as to realize the subsequent control of the power output of the energy storage unit. For example, when the target real-time temperature change rate exceeds the allowable range, the droop coefficient of the energy storage unit can be changed by calculating the droop coefficient adjustment value, thereby affecting its power output and realizing temperature control and power coordination of the energy storage unit.

[0113] In one embodiment, step S6, which calculates the real-time operating power of the corresponding energy storage unit based on each frequency information and the corresponding droop coefficient adjustment value, includes:

[0114] S61. Obtain the system frequency and no-load frequency corresponding to each energy storage unit based on the frequency information;

[0115] S62. Obtain the no-load power of each energy storage unit based on the basic attribute information;

[0116] S63. Calculate the real-time operating power based on the no-load power, real-time droop coefficient, system frequency, and no-load frequency, wherein the calculation formula is:

[0117] ;

[0118] in, Indicates the first Real-time operating power of each energy storage unit Indicates the first The no-load frequency of each energy storage unit Indicates the first Real-time adjustment of droop coefficient for each energy storage unit Indicates the first The system frequency of each energy storage unit Indicates the first The no-load frequency of each energy storage unit.

[0119] As described in steps S61-S63 above, in this invention, the corresponding system frequency and no-load frequency are obtained through the frequency information of each energy storage unit. Here, frequency information refers to frequency-related data during the operation of the energy storage unit; system frequency refers to the frequency exhibited by the energy storage unit during actual operation; and no-load frequency refers to the output frequency of the energy storage unit when no external load is connected (i.e., no load). Real-time operating power is calculated based on no-load power, real-time droop coefficient, system frequency, and no-load frequency. No-load power refers to the power consumed by the energy storage unit itself when no external load is connected. In energy storage systems, droop control is typically based on power-frequency droop characteristics to achieve power regulation, meaning that the output power, frequency, and droop coefficient of the energy storage unit satisfy a specific functional relationship. When the droop coefficient changes, the output power also changes accordingly. The formula "(no-load frequency)" indicates that the power consumption of the energy storage unit is not directly related to the no-load frequency. The "System Frequency" part indicates the deviation of the system frequency. When the system is operating normally and the load is light, the no-load frequency and the system frequency may be equal or very close. However, as the load increases, the system frequency will decrease according to the characteristics of the power system. Therefore, under heavy load, the system frequency will be lower than the no-load frequency. This frequency deviation is a signal that the system needs to adjust using energy storage units. This method of power allocation based on droop characteristics has strong dynamism and adaptability, enabling energy storage units to better adapt to the operating state of the system and achieve coordinated power allocation between different energy storage units.

[0120] In one embodiment, step S7, which involves a secondary adjustment of the droop coefficient based on the droop coefficient adjustment value, includes:

[0121] S71. Substitute the sag coefficient adjustment value as the initial sag coefficient into the temperature-sag correlation function to obtain the temperature-sag correction function.

[0122] S72. The temperature-droop correction function is used as the temperature-droop correlation function and returned to the step of adjusting the droop coefficient according to the target real-time temperature change rate to obtain a new droop coefficient adjustment value.

[0123] As described in steps S71-S72 above, this invention obtains a temperature-droop correction function by substituting the droop coefficient adjustment value as the initial droop coefficient into the temperature-droop correlation function. The temperature-droop correction function is a new function obtained by substituting the droop coefficient adjustment value as the initial droop coefficient into the original temperature-droop correlation function. This correction method reconstructs the functional relationship related to the rate of temperature change based on the previously adjusted droop coefficient. This is to update the correlation rules between the droop coefficient and temperature change to better adapt to the actual operating state of the energy storage unit after a power adjustment. Then, the newly obtained temperature-droop correction function is used as the temperature-droop correlation function, returning to step S5 to obtain a new droop coefficient adjustment value. This allows for a secondary adjustment of the droop coefficient to further optimize the power output of the energy storage unit. Through this iterative adjustment mechanism, dynamic optimization can be performed based on the real-time state of the energy storage unit until a reasonable power distribution state is achieved.

[0124] This application also provides a grid-type energy storage multi-unit parallel operation power coordination system, including:

[0125] The first acquisition module is used to acquire the thermal stability information and basic attribute information of each energy storage unit. The thermal stability information includes the thermal time constant and the allowable temperature fluctuation range of the energy storage unit.

[0126] The second acquisition module is used to acquire the temperature acquisition frequency of the temperature sensor of each energy storage unit according to each thermal stability information, acquire the real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency of the temperature sensor, and sort the multiple real-time temperature data according to the acquisition time to obtain a temperature change table, wherein the temperature change table includes the real-time temperature change rate corresponding to different times.

[0127] The first calculation module is used to calculate the temperature change rate threshold corresponding to each energy storage unit based on the temperature change table and basic attribute information.

[0128] The first judgment module is used to obtain the target real-time temperature change rate corresponding to the target time point of each energy storage unit according to the temperature change table, and to determine whether the target real-time temperature change rate exceeds the temperature change rate threshold.

[0129] The first adjustment module is used to adjust the droop coefficient according to the target real-time temperature change rate if the target real-time temperature change rate exceeds the temperature change rate threshold, so as to obtain the droop coefficient adjustment value.

[0130] The second adjustment module is used to obtain the frequency information of each energy storage unit according to the digital frequency meter, and to calculate the real-time operating power of the corresponding energy storage unit according to each frequency information and the corresponding droop coefficient adjustment value.

[0131] The second calculation module is used to obtain the theoretical allocated power of each energy storage unit and calculate the power deviation rate of each energy storage unit based on the theoretical allocated power and the real-time operating power.

[0132] The second judgment module is used to determine whether the power deviation rate of each energy storage unit is greater than a preset value;

[0133] If the power deviation rate of all energy storage units is not greater than the preset value, then the power allocation of each energy storage unit is determined to be reasonable.

[0134] If the power deviation rate of any energy storage unit is greater than the preset value, it is determined that the power distribution of each energy storage unit is unreasonable, and the droop coefficient is adjusted a second time according to the droop coefficient adjustment value until the power distribution of each energy storage unit is reasonable.

[0135] In one embodiment, the second acquisition module includes:

[0136] The first acquisition unit is used to acquire the sensor accuracy of the temperature sensor of each energy storage unit;

[0137] The first calculation unit is used to calculate the temperature acquisition frequency based on the accuracy of each sensor and the thermal time constant and temperature fluctuation range of the corresponding energy storage unit.

[0138] The second acquisition unit is used to acquire real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency, wherein the real-time temperature data includes real-time internal temperature value, real-time surface temperature value and real-time ambient temperature value.

[0139] The second calculation unit is used to sort the real-time internal temperature values ​​of each energy storage unit in chronological order and calculate the temperature difference between the real-time internal temperature values ​​at adjacent time points.

[0140] The third acquisition unit is used to calculate the temperature change rate based on the temperature difference and temperature acquisition frequency, and to construct a temperature change table using the real-time internal temperature value, real-time surface temperature value, real-time ambient temperature value, temperature difference, and temperature change rate.

[0141] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described power coordination method for multi-unit parallel operation of grid-type energy storage.

[0142] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described power coordination method for multi-unit parallel operation of grid-type energy storage.

[0143] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in this application and in the embodiments can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual-speed SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0144] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.

[0145] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for coordinating the power of multiple parallel-operated grid-type energy storage systems, characterized in that, include: Acquire the thermal stability information and basic attribute information of each energy storage unit. The thermal stability information includes the thermal time constant and the allowable temperature fluctuation range of the energy storage unit. The temperature acquisition frequency of the temperature sensor of each energy storage unit is obtained according to the thermal stability information. Real-time temperature data of the corresponding energy storage unit is obtained according to the temperature acquisition frequency of the temperature sensor. The multiple real-time temperature data are sorted according to the acquisition time to obtain a temperature change table, wherein the temperature change table includes the real-time temperature change rate corresponding to different times. Calculate the temperature change rate threshold for each energy storage unit based on the temperature change table and basic attribute information; The target real-time temperature change rate corresponding to the target time point of each energy storage unit is obtained according to the temperature change table, and it is determined whether the target real-time temperature change rate exceeds the temperature change rate threshold. If the target real-time temperature change rate exceeds the temperature change rate threshold, the droop coefficient is adjusted according to the target real-time temperature change rate to obtain the droop coefficient adjustment value. The frequency information of each energy storage unit is obtained by a digital frequency meter, and the real-time operating power of the corresponding energy storage unit is calculated based on each frequency information and the corresponding droop coefficient adjustment value. Obtain the theoretical allocated power of each energy storage unit, and calculate the power deviation rate of each energy storage unit based on the theoretical allocated power and the real-time operating power; Determine whether the power deviation rate of each energy storage unit is greater than a preset value; If the power deviation rate of all energy storage units is not greater than the preset value, then the power allocation of each energy storage unit is determined to be reasonable. If the power deviation rate of any energy storage unit is greater than the preset value, it is determined that the power distribution of each energy storage unit is unreasonable, and the droop coefficient is adjusted a second time according to the droop coefficient adjustment value until the power distribution of each energy storage unit is reasonable. The steps of obtaining the temperature acquisition frequency of the temperature sensor for each energy storage unit based on each thermal stability information, acquiring real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency based on the temperature sensor, and performing time series processing on multiple real-time temperature data to obtain a temperature change table include: Obtain the sensor accuracy of the temperature sensor for each energy storage unit; The temperature acquisition frequency is calculated based on the accuracy of each sensor and the thermal time constant and allowable temperature fluctuation range of the corresponding energy storage unit. The real-time temperature data of the corresponding energy storage unit is obtained according to the temperature acquisition frequency, wherein the real-time temperature data includes the real-time internal temperature value, the real-time surface temperature value and the real-time ambient temperature value. The real-time internal temperature values ​​of each energy storage unit are sorted in chronological order, and the temperature difference between the real-time internal temperature values ​​at adjacent time points is calculated. The temperature change rate is calculated based on the temperature difference and temperature acquisition frequency, and a temperature change table is constructed using the real-time internal temperature value, real-time surface temperature value, real-time ambient temperature value, temperature difference, and temperature change rate.

2. The power coordination method for multi-unit parallel operation of grid-type energy storage according to claim 1, characterized in that, The step of calculating the temperature change rate threshold for each energy storage unit based on the temperature change table and basic attribute information includes: The initial temperature value, real-time surface temperature value, and real-time ambient temperature value of the energy storage unit are obtained according to the temperature change table. The heat flux density of the energy storage unit is obtained from the heat flux meter, and the heat dissipation coefficient of the energy storage unit is calculated based on the heat flux density, real-time surface temperature value, and real-time ambient temperature value. The calculation formula is as follows: ； in, Indicates the heat dissipation coefficient. Represents heat flux density, This indicates the real-time surface temperature value. This indicates the real-time ambient temperature value; Obtain the basic attribute information for each energy storage unit. and quality; The maximum allowable operating temperature and specific heat capacity of each energy storage unit are obtained based on the aforementioned basic attribute information. The temperature change rate threshold is calculated based on the initial temperature value, heat dissipation coefficient, heat dissipation surface area, mass, maximum allowable operating temperature, and specific heat capacity, wherein the calculation formula is: ； in, Indicates the threshold of the rate of temperature change. Indicates the heat dissipation coefficient. Indicates the maximum allowable operating temperature. Indicates the initial temperature value. Indicates quality, This indicates specific heat capacity.

3. The power coordination method for multi-unit parallel operation of grid-type energy storage according to claim 1, characterized in that, The step of adjusting the droop coefficient according to the real-time temperature change rate of the target to obtain the droop coefficient adjustment value includes: Obtain the temperature-droop correlation function for each energy storage unit, wherein the expression for the temperature-droop correlation function is: ； in, This represents the initial droop coefficient. Represents the natural constant. Represents the correlation coefficient. Indicates the rate of temperature change; The droop coefficient adjustment value is calculated based on the temperature-droop correlation function and the target real-time temperature change rate, wherein the calculation formula is: ； in, This represents the droop adjustment value corresponding to the target time point. This represents the initial droop coefficient. Represents the natural constant. Represents the correlation coefficient. This represents the real-time temperature change rate corresponding to the target time point.

4. The power coordination method for multi-unit parallel operation of grid-type energy storage according to claim 1, characterized in that, The step of calculating the real-time operating power of the corresponding energy storage unit based on each frequency information and the corresponding droop coefficient adjustment value includes: Based on the frequency information, obtain the system frequency and no-load frequency corresponding to each energy storage unit; The no-load power of each energy storage unit is obtained based on the aforementioned basic attribute information; The real-time operating power is calculated based on the no-load power, real-time droop adjustment coefficient, system frequency, and no-load frequency, wherein the calculation formula is: ； in, Indicates the first Real-time operating power of each energy storage unit Indicates the first The no-load frequency of each energy storage unit Indicates the first Real-time adjustment of droop coefficient for each energy storage unit Indicates the first The system frequency of each energy storage unit Indicates the first The no-load frequency of each energy storage unit.

5. The power coordination method for multi-unit parallel operation of grid-type energy storage according to claim 1, characterized in that, The step of performing a secondary adjustment of the droop coefficient based on the droop coefficient adjustment value includes: The sag coefficient adjustment value is used as the initial sag coefficient and substituted into the temperature-sag correlation function to obtain the temperature-sag correction function. The temperature-droop correction function is used as the temperature-droop correlation function and returned to the step of adjusting the droop coefficient according to the real-time temperature change rate of the target to obtain a new droop coefficient adjustment value.

6. A grid-type energy storage multi-unit parallel operation power coordination system, characterized in that, include: The first acquisition module is used to acquire the thermal stability information and basic attribute information of each energy storage unit. The thermal stability information includes the thermal time constant and the allowable temperature fluctuation range of the energy storage unit. The second acquisition module is used to acquire the temperature acquisition frequency of the temperature sensor of each energy storage unit according to each thermal stability information, acquire the real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency of the temperature sensor, and sort the multiple real-time temperature data according to the acquisition time to obtain a temperature change table, wherein the temperature change table includes the real-time temperature change rate corresponding to different times. The first calculation module is used to calculate the temperature change rate threshold corresponding to each energy storage unit based on the temperature change table and basic attribute information. The first judgment module is used to obtain the target real-time temperature change rate corresponding to the target time point of each energy storage unit according to the temperature change table, and to determine whether the target real-time temperature change rate exceeds the temperature change rate threshold. The first adjustment module is used to adjust the droop coefficient according to the target real-time temperature change rate if the target real-time temperature change rate exceeds the temperature change rate threshold, so as to obtain the droop coefficient adjustment value. The second adjustment module is used to obtain the frequency information of each energy storage unit according to the digital frequency meter, and to calculate the real-time operating power of the corresponding energy storage unit according to each frequency information and the corresponding droop coefficient adjustment value. The calculation module is used to obtain the theoretical allocated power of each energy storage unit and calculate the power deviation rate of each energy storage unit based on the theoretical allocated power and the real-time operating power. The second judgment module is used to determine whether the power deviation rate of each energy storage unit is greater than a preset value; If the power deviation rate of all energy storage units is not greater than the preset value, then the power allocation of each energy storage unit is determined to be reasonable. If the power deviation rate of any energy storage unit is greater than the preset value, it is determined that the power distribution of each energy storage unit is unreasonable, and the droop coefficient is adjusted a second time according to the droop coefficient adjustment value until the power distribution of each energy storage unit is reasonable. The second acquisition module includes: The first acquisition unit is used to acquire the sensor accuracy of the temperature sensor of each energy storage unit; The first calculation unit is used to calculate the temperature acquisition frequency based on the accuracy of each sensor and the thermal time constant and allowable temperature fluctuation range of the corresponding energy storage unit. The second acquisition unit is used to acquire real-time temperature data of the corresponding energy storage unit according to the temperature acquisition frequency, wherein the real-time temperature data includes real-time internal temperature value, real-time surface temperature value and real-time ambient temperature value. The second calculation unit is used to sort the real-time internal temperature values ​​of each energy storage unit in chronological order and calculate the temperature difference between the real-time internal temperature values ​​at adjacent time points. The third acquisition unit is used to calculate the temperature change rate based on the temperature difference and temperature acquisition frequency, and to construct a temperature change table using the real-time internal temperature value, real-time surface temperature value, real-time ambient temperature value, temperature difference, and temperature change rate.

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

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

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