Novel intelligent energy storage power station energy storage coordination control method and system

Abstract

The invention discloses a novel intelligent energy storage power station energy storage coordination control method and system, relates to the technical field of energy storage power stations, and solves the problem that the energy storage power station does not carry out reasonable power distribution according to the battery characteristics of different storage batteries. According to the method, the characteristic interval is determined through deep analysis of the electricity storage parameters in the historical data under different electricity storage states, and the characteristics of the battery in different electricity stages can be accurately grasped; electric energy distribution is carried out on the basis, if the current electricity storage parameter is in the sum interval, accurate electric energy distribution can be directly realized, and it is ensured that the single electricity storage parameter of each battery to be charged is in the characteristic interval and the sum meets the requirement; and if the CD is not in the sum interval, according to the size relationship between the CD and the sum interval, respectively adopting a strategy of up-regulating or down-regulating a signal, for example, equally dividing based on a characteristic interval intermediate value ratio or setting a single electricity storage parameter according to a maximum value, so as to realize differentiated and precise electric energy distribution of the batteries in different electric quantity states.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage power stations, and in particular to a novel intelligent energy storage power station energy storage coordination control method and system. Background Art

[0002] An energy storage power station is a facility that uses specific technologies and equipment to store and release electrical energy. It plays a vital role in the power system. When the power grid is in a low-load period or there is excess renewable energy generation, the monitoring and management system issues instructions, and the energy storage inverter converts the grid's AC power into DC power, and charges the energy storage unit according to the set charging strategy. The electrical energy is stored in the form of chemical energy (such as batteries) or electric field energy (such as supercapacitors). During this process, the monitoring system monitors the various parameters of the energy storage unit in real time to ensure that the charging process is safe and stable.

[0003] The application with publication number CN117060597A discloses a method and system for coordinated energy storage control of an energy storage power station, which relates to the technical field of coordinated energy storage control. The method comprises: obtaining basic information of N devices corresponding to N devices of a target energy storage power station; determining N first loss coefficients based on the usage time of the N devices and the maintenance information of the N devices; determining a loss deviation center coefficient; obtaining N loss deviations; obtaining N communication transmission distances; determining N first distance coefficients; serializing N sub-control units of a device control module in combination with N1 positive loss deviations and N2 negative loss deviations to obtain a sub-control unit sequence; and performing coordinated energy storage control on the target energy storage power station. The invention solves the technical problem in the prior art that the control of the equipment of the energy storage power station is not coordinated during energy storage operation, resulting in the control result failing to achieve the expected result, and achieves the technical effect of improving the reliability of coordinated energy storage control and improving control accuracy.

[0004] Regarding the synchronous power storage process of multiple storage batteries in an energy storage power station, the total input power of the power station is generally divided evenly into different storage batteries to complete the power storage process of multiple storage batteries. However, due to the differences in charging process and internal resistance of different storage batteries, some storage batteries may not be able to receive the corresponding storage power, resulting in power waste. The energy storage power station does not reasonably distribute power according to the battery characteristics of each different storage battery, resulting in the inability to guarantee the power storage effect of each storage battery. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a novel intelligent energy storage power station energy storage coordination control method and system, which solves the problem that the energy storage power station fails to reasonably distribute power according to the battery characteristics of each different storage battery.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A new intelligent energy storage power station energy storage coordination control method, comprising the following steps: Step 1: Confirm the power storage parameters associated with different storage batteries in the energy storage power station. Based on multiple groups of power storage parameters associated with a single group of storage batteries under different power storage states, confirm the characteristic interval associated with the corresponding storage battery under the corresponding power storage state. The determination method is as follows: S11, confirming different power storage parameters associated with the corresponding storage battery under different power storage states from the historical data, and then extracting several groups of power storage parameters associated with the corresponding power storage states, recording the extracted several groups of power storage parameters as characteristic parameter sets, and each different power storage state corresponds to a different characteristic parameter set; S12, based on the characteristic parameter set associated with the corresponding power storage state, a minimum power storage parameter and a maximum power storage parameter are selected from the set, a set of parameter intervals are determined as the main interval, and a parameter range F of the main interval is determined, where F=maximum power storage parameter-minimum power storage parameter, and then based on the total number G of power storage parameters in the characteristic parameter set, an interval density M associated with the main interval is determined, where M=F÷G; Then, the value of the main interval is changed, and the change interval is confirmed, and the change interval ∈ the main interval. The change interval associated with each value change process is different. Different value change processes confirm different change intervals, and the parameter range F of each change interval is i And the total number of storage parameters included in the variation interval G i Confirm, where i represents different change intervals, using: M i =F i ÷G i Confirm the interval density M associated with the corresponding change interval i ; Based on the different interval densities M associated with different change intervals i , select M i The change interval corresponding to max is taken as the characteristic interval, and the characteristic interval associated with the corresponding storage battery in the corresponding storage power state is recorded, and then the different characteristic intervals associated with the storage battery in different storage power states are recorded in sequence; Step 2: Confirm the power storage parameters associated with the energy storage power station at the current moment, and distribute power to multiple storage batteries based on the characteristic intervals associated with different storage batteries under the corresponding storage power states. The specific sub-steps are: The power storage parameter associated with the energy storage power station at the current moment is calibrated as CD, and then the storage battery that is not fully charged is locked and calibrated as a battery to be charged, and the current storage power of the battery to be charged is confirmed, and the associated characteristic interval is locked based on the current storage power, and multiple groups of characteristic intervals associated with multiple groups of batteries to be charged are summed up, and the sum interval is locked, and the minimum value of the sum interval is the sum of the minimum values ​​of multiple characteristic intervals, and the maximum value of the sum interval is the sum of the maximum values ​​of multiple characteristic intervals; Identify whether the currently associated power storage parameter CD satisfies: CD∈sum interval. If so, directly distribute the electric energy so that the corresponding single power storage parameters associated with the battery to be charged all belong to the characteristic interval and the sum of multiple groups of single power storage parameters is equal to CD. Lock the allocated single power storage parameters and perform power storage control. If CD does not satisfy: CD∈sum interval, then identify CD as belonging to: CD<sum interval or CD>sum interval; If CD is less than the total interval, an upward adjustment signal is directly generated, so that the storage parameter associated with the next moment is adjusted upward based on CD, and the middle value of the corresponding characteristic interval of the corresponding battery to be charged is determined, and the determined middle value is calibrated as Z k , where k represents different batteries to be charged, and the determined multiple sets of intermediate values ​​Z k Perform ratio processing, confirm the ratio sequence, and evenly divide the CD according to the confirmed ratio sequence, confirm the single power storage parameter associated with each battery to be charged and perform power storage control; If CD>the total interval, a downward adjustment signal is directly generated to adjust the associated power storage parameter at the next moment downward on the basis of CD, and the maximum value of the corresponding characteristic interval of the corresponding battery to be charged is determined, and the determined maximum value is used as the single power storage parameter associated with the corresponding battery to be charged and power storage control is performed; Step 3: Based on the temperature data of each energy storage battery in the energy storage power station, confirm whether there is an energy storage battery with abnormal temperature change, and calibrate the abnormal energy storage battery simultaneously. By re-monitoring the temperature of the abnormal energy storage battery, assess whether the abnormal energy storage battery has abnormal internal resistance and display the signal. The specific method is as follows: The temperature data associated with a single energy storage battery is monitored in real time and calibrated as W q , where q represents different energy storage batteries, and multiple groups of W monitored in real time q Perform variance processing to confirm the temperature variance. If the temperature variance is ≤ Y1, continue monitoring, where Y1 is the preset value. If the temperature variance is > Y1, the monitored multiple sets of temperature data W q Perform mean processing, confirm the temperature mean, and evaluate multiple sets of temperature data W q Does it exist in: (W q-temperature mean)>Y2, where Y2 is the preset value. If it exists, the corresponding temperature data W q The associated energy storage battery is marked as an abnormal energy storage battery, and if it does not exist, it is continuously monitored; The specific method for evaluating whether the abnormal energy storage battery has abnormal internal resistance is: S33. For the abnormal energy storage battery calibrated, define a set of monitoring periods T, where T is a preset value, record the initial temperature W1 of the abnormal energy storage battery at the beginning of the monitoring period T and the terminal temperature W2 of the abnormal energy storage battery at the end, and then confirm several sets of current parameters generated by the abnormal energy storage battery within the monitoring period T, average the several sets of current parameters, confirm the average current I, and use Q1=I 2 Rt confirms the standard heat Q1 generated by the abnormal energy storage battery during the monitoring period T, where R is the preset internal resistance value of the abnormal energy storage battery, and t is the total duration of the monitoring period T; Then Q2=mc(W2-W1) is used to confirm the relevant heat Q2 actually generated by this abnormal energy storage battery, where m is the preset battery mass and c is the preset battery specific heat capacity of the battery material; S34. Identify whether the confirmed standard heat Q1 and related heat Q2 satisfy: |Q1-Q2|>Y3, where Y3 is a preset value. If so, the abnormal energy storage battery is calibrated as an abnormal internal resistance battery, and an abnormal internal resistance signal is directly generated for display. If not, no calibration is performed.

[0007] Preferably, a new type of intelligent energy storage power station energy storage coordination control system includes: The interval confirmation end confirms the power storage parameters associated with different storage batteries in the energy storage power station, and confirms the characteristic interval associated with the corresponding storage battery under the corresponding storage power state based on multiple groups of storage parameters associated with a single group of storage batteries under different storage power states; The real-time power distribution terminal confirms the power storage parameters associated with the energy storage power station at the current moment, and distributes power to multiple storage batteries based on the characteristic intervals associated with different storage batteries under the corresponding storage power states; The internal resistance abnormality assessment end, based on the temperature data of each energy storage battery in the energy storage power station, confirms whether there are energy storage batteries with abnormal temperature changes, and simultaneously calibrates the abnormal energy storage batteries. By re-monitoring the temperature of the abnormal energy storage batteries, it is assessed whether the abnormal energy storage batteries have abnormal internal resistance and a signal is displayed.

[0008] The present invention provides a novel intelligent energy storage power station energy storage coordination control method and system. Compared with the prior art, it has the following beneficial effects: The present invention determines the characteristic interval through in-depth analysis of the storage parameters under different power storage states in the historical data, and can accurately grasp the characteristics of the battery at different power stages; on this basis, the electric energy is distributed. If the current storage parameter is in the sum interval, accurate electric energy distribution can be directly achieved to ensure that the single storage parameter of each battery to be charged is in the characteristic interval and the sum meets the requirements, thereby ensuring the charging effect; if it is not in the sum interval, according to the size relationship between CD and the sum interval, the strategy of increasing or decreasing the signal is adopted respectively, and through reasonable calculation methods, such as averaging based on the ratio of the intermediate value of the characteristic interval or setting the single storage parameter according to the maximum value, the differentiated and accurate electric energy distribution of the batteries under different power states is achieved, which effectively improves the overall charging efficiency and electric energy utilization efficiency of the energy storage power station, avoids overcharging or undercharging, and prolongs the battery life; Real-time variance and mean processing of energy storage battery temperature data can keenly capture batteries with abnormal temperature changes; by setting the preset values ​​of temperature variance and (Wq-temperature mean), abnormal batteries can be accurately judged, avoiding misjudgment caused by individual low temperature data and improving the accuracy of abnormal identification. For abnormal batteries, the current, temperature and other parameters within the monitoring cycle are used, combined with the comparison of standard heat and actual heat generation, to accurately assess whether the battery internal resistance is abnormal; this process can promptly discover battery performance degradation caused by increased internal resistance, such as drastic temperature changes during charging, slow charging progress, etc., and give early warnings to potential faulty batteries, making it convenient for operators to maintain or replace them in time, ensuring the stable operation of the energy storage power station, reducing the risk of system downtime due to battery failure, and improving the reliability and safety of the energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 It is a schematic diagram of the process of the present invention; Figure 2 It is a calibration schematic diagram of the abnormal energy storage battery of the present invention. DETAILED DESCRIPTION

[0010] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0011] First embodiment See also Figure 1 , the present application provides a novel intelligent energy storage power station energy storage coordination control method, comprising the following steps: Step 1: Confirm the power storage parameters associated with different storage batteries in the energy storage power station. Based on multiple groups of power storage parameters associated with a single group of storage batteries under different power storage states, confirm the characteristic interval associated with the corresponding storage battery under the corresponding power storage state. Specifically, different power storage values ​​are associated with different power storage values ​​in the actual power storage process. Therefore, the power storage characteristic interval can be specifically confirmed based on historical parameters to lock the corresponding characteristic interval. The specific method of determining the characteristic interval is as follows: S11. Confirm different storage parameters associated with the corresponding storage battery under different storage power states from the historical data, and then extract several groups of storage parameters associated with the corresponding storage power states (the storage parameters are storage values, and the storage values ​​associated with the corresponding battery under different power states are all different. Each battery has three different storage stages when storing power, and the storage characteristics associated with each storage stage are all different, so the corresponding characteristic interval can be determined based on the corresponding storage parameters), and record the extracted several groups of storage parameters as characteristic parameter sets, and each different storage power state corresponds to a different characteristic parameter set; S12, based on the characteristic parameter set associated with the corresponding power storage state, a minimum power storage parameter and a maximum power storage parameter are selected from the set, a set of parameter intervals are determined as the main interval, and a parameter range F of the main interval is determined, where F=maximum power storage parameter-minimum power storage parameter, and then based on the total number G of power storage parameters in the characteristic parameter set, an interval density M associated with the main interval is determined, where M=F÷G; Then, the value of the main interval is changed, and the change interval is confirmed, and the change interval ∈ the main interval. The change interval associated with each value change process is different. Different value change processes confirm different change intervals, and the parameter range F of each change interval is i And the total number of storage parameters included in the variation interval G i Confirm, where i represents different change intervals, using: M i =F i ÷G i Confirm the interval density M associated with the corresponding change interval i ; Based on the different interval densities M associated with different change intervals i (The M here i Synchronize the interval density M associated with the master interval), select M i The change interval corresponding to max is taken as the characteristic interval, and the characteristic interval associated with the corresponding storage battery in the corresponding storage power state is recorded, and then the different characteristic intervals associated with the storage battery in different storage power states are recorded in sequence; Specifically, when a group of storage batteries A is associated with a plurality of storage parameters corresponding to the storage power state as ten groups, the first group of main intervals is determined based on the minimum and maximum values ​​associated with the ten groups of storage parameters, and the main interval density is determined based on the interval range of the main interval and the total number of parameters 10; If the main interval is calibrated as [1, 10], then the subsequent change interval can be adjusted to: [1, 9], [1, 8], ..., [1, 2], [2, 9], [2, 8], etc. After the change, the change interval still belongs to the corresponding main interval. Different change intervals correspond to different interval densities. The larger the interval density, the stronger the characteristic of the corresponding interval. Therefore, the characteristic interval associated with the specific storage power state can be locked and recorded, which is convenient for subsequent parameter verification adjustment analysis; Step 2: Confirm the power storage parameters associated with the energy storage power station at the current moment, and distribute power to multiple storage batteries based on the characteristic intervals associated with different storage batteries under the corresponding storage power states, and provide relevant guarantees for the charging state of each storage battery. The specific sub-steps of power distribution are as follows: S21, calibrating the power storage parameter associated with the energy storage power station at the current moment as CD, then locking the storage battery that is not fully charged and calibrating it as a battery to be charged, confirming the current storage power of the battery to be charged, and locking the associated characteristic interval based on the current storage power, performing interval summation processing on multiple groups of characteristic intervals associated with multiple groups of batteries to be charged, locking the sum interval, the minimum value of the sum interval is the sum of the minimum values ​​of multiple characteristic intervals, and the maximum value of the sum interval is the sum of the maximum values ​​of multiple characteristic intervals; Identify whether the currently associated power storage parameter CD satisfies: CD∈sum interval. If so, directly distribute the electric energy so that the single power storage parameters associated with the corresponding battery to be charged all belong to the characteristic interval and the sum of multiple groups of single power storage parameters is equal to CD. Lock the allocated single power storage parameters and perform power storage control to ensure that each battery to be charged can store power under the determined single power storage parameter state, so that each battery to be charged can achieve a better charging effect. If CD does not satisfy: CD∈total interval, then identify CD as belonging to: CD<total interval or CD>total interval. If CD<total interval, directly generate an upward adjustment signal to adjust the associated power storage parameter at the next moment upward on the basis of CD, and determine the middle value of the corresponding characteristic interval of the corresponding battery to be charged, and mark the determined middle value as Z. k , where k represents different batteries to be charged, and the determined multiple sets of intermediate values ​​Z kPerform ratio processing, confirm the ratio sequence, and evenly divide CD according to the confirmed ratio sequence, confirm the single power storage parameter associated with each battery to be charged and perform power storage control. Specifically, the ratio sequence to be confirmed is 1:1.2:1.5, which is 10:12:15 after adjustment. After confirmation, the corresponding power storage parameter CD is 74. Then, after evenly dividing, the single power storage parameters associated with each different battery to be charged are: 20, 24 and 30. Therefore, each battery to be charged can perform specific power storage control according to the associated single power storage parameter, and complete the power storage processing process of the corresponding battery to be charged; If CD>the total interval, a downward adjustment signal is directly generated to adjust the associated power storage parameter at the next moment downward on the basis of CD, and the maximum value of the corresponding characteristic interval of the corresponding battery to be charged is determined. The determined maximum value is used as the single power storage parameter associated with the corresponding battery to be charged and power storage control is performed. Subsequently, the real-time charging power parameters of the energy storage power station are reduced in real time. When there is no corresponding downward adjustment signal, the corresponding processing process is stopped to achieve a better control and processing effect, and simultaneously ensure the charging effect of each battery to be charged; Step 3: Based on the temperature data of each energy storage battery in the energy storage power station, confirm whether there is an energy storage battery with abnormal temperature change, and calibrate the abnormal energy storage battery simultaneously. By re-monitoring the temperature of the abnormal energy storage battery, assess whether the abnormal energy storage battery has abnormal internal resistance and display the signal. The specific method of calibrating the abnormal energy storage battery is as follows: S31, Combination Figure 2 , the temperature data associated with a single energy storage battery is monitored in real time and calibrated as W q , where q represents different energy storage batteries, and multiple groups of W monitored in real time q Perform variance processing to confirm the temperature variance. If the temperature variance is ≤ Y1, continue monitoring, where Y1 is a preset value, and its specific value is determined by the operator based on experience. If the temperature variance is greater than Y1, the monitored multiple sets of temperature data W q Perform mean processing, confirm the temperature mean, and evaluate multiple sets of temperature data W q Does it exist in: (W q -temperature mean)>Y2, where Y2 is a preset value, and its specific value is determined by the operator based on experience. If it exists, the corresponding temperature data W q The associated energy storage battery is calibrated as an abnormal energy storage battery. If it does not exist, it will continue to be monitored. Specifically, when a certain temperature data is too low, the variance of the corresponding temperature data will also exceed the standard, but the abnormal energy storage battery cannot be confirmed, so this situation is considered non-existent (W q -temperature average)>Y2, then continue to monitor and no relevant processing is required; The specific method for evaluating whether the abnormal energy storage battery has abnormal internal resistance is: S33. For the calibrated abnormal energy storage battery, define a set of monitoring periods T, where T is a preset value, generally 1 minute, record the initial temperature W1 of the abnormal energy storage battery at the beginning of the monitoring period T and the terminal temperature W2 of the abnormal energy storage battery at the end, and then confirm several sets of current parameters generated by the abnormal energy storage battery within the monitoring period T, average the several sets of current parameters, confirm the average current I, and use Q1=I 2 Rt confirms the standard heat Q1 generated by the abnormal energy storage battery during the monitoring period T, where R is the preset internal resistance value of the abnormal energy storage battery, and t is the total duration of the monitoring period T; Then Q2=mc(W2-W1) is used to confirm the relevant heat Q2 actually generated by this abnormal energy storage battery, where m is the preset battery mass and c is the preset battery specific heat capacity of the battery material; S34, identifying whether the confirmed standard heat Q1 and the related heat Q2 meet: |Q1-Q2|>Y3, where Y3 is a preset value, and its specific value is determined by the operator based on experience. If it meets, the abnormal energy storage battery is calibrated as an abnormal internal resistance battery, and an abnormal internal resistance signal is directly generated for display. If it does not meet, no calibration is performed; Specifically, with the increase of years of use, the internal resistance of the battery will undergo relevant changes. When the internal resistance value increases, the temperature of the corresponding battery will change too drastically during charging, resulting in the corresponding battery The use effect becomes worse and cannot achieve better use and processing effects. At the same time, when its internal resistance increases, it will cause the charging progress to be slow. Therefore, for such batteries with excessive internal resistance, they need to be processed in real time and the signals displayed in real time to facilitate external operators to fully understand the use status of the energy storage battery.

[0012] Second embodiment A new type of intelligent energy storage power station energy storage coordination control system, including: The interval confirmation end confirms the power storage parameters associated with different storage batteries in the energy storage power station, and confirms the characteristic interval associated with the corresponding storage battery under the corresponding storage power state based on multiple groups of storage parameters associated with a single group of storage batteries under different storage power states; The real-time power distribution terminal confirms the power storage parameters associated with the energy storage power station at the current moment, and distributes power to multiple storage batteries based on the characteristic intervals associated with different storage batteries under the corresponding storage power states; The internal resistance abnormality assessment end, based on the temperature data of each energy storage battery in the energy storage power station, confirms whether there are energy storage batteries with abnormal temperature changes, and simultaneously calibrates the abnormal energy storage batteries. By re-monitoring the temperature of the abnormal energy storage batteries, it is assessed whether the abnormal energy storage batteries have abnormal internal resistance and a signal is displayed.

[0013] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0014] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A new type of intelligent energy storage power station energy storage coordination control method, characterized in that: The following steps are involved: Step 1: confirm the power storage parameters associated with different storage batteries in the energy storage power station, and confirm the characteristic interval associated with the corresponding storage battery under the corresponding storage power state based on multiple groups of power storage parameters associated with a single group of storage batteries under different storage power states; Step 2: confirm the power storage parameters associated with the energy storage power station at the current moment, and distribute power to multiple storage batteries based on the characteristic intervals associated with different storage batteries under corresponding storage power states; Step 3: Based on the temperature data of each energy storage battery in the energy storage power station, confirm whether there are energy storage batteries with abnormal temperature changes, and simultaneously calibrate the abnormal energy storage batteries. By re-monitoring the temperature of the abnormal energy storage batteries, assess whether the abnormal energy storage batteries have abnormal internal resistance and display signals.

2. A novel intelligent energy storage power station energy storage coordination control method according to claim 1, characterized in that: In the step 1, the characteristic intervals associated with different storage power states of the storage battery are determined as follows: S11, confirming different power storage parameters associated with the corresponding storage battery under different power storage states from the historical data, and then extracting several groups of power storage parameters associated with the corresponding power storage states, recording the extracted several groups of power storage parameters as characteristic parameter sets, and each different power storage state corresponds to a different characteristic parameter set; S12, based on the characteristic parameter set associated with the corresponding power storage state, a minimum power storage parameter and a maximum power storage parameter are selected from the set, a set of parameter intervals are determined as the main interval, and a parameter range F of the main interval is determined, where F=maximum power storage parameter-minimum power storage parameter, and then based on the total number G of power storage parameters in the characteristic parameter set, an interval density M associated with the main interval is determined, where M=F÷G; Then, the value of the main interval is changed, and the change interval is confirmed, and the change interval ∈ the main interval. The change interval associated with each value change process is different. Different value change processes confirm different change intervals, and the parameter range F of each change interval is i And the total number of storage parameters included in the variation interval G i Confirm, where i represents different change intervals, using: M i =F i ÷G i Confirm the interval density M associated with the corresponding change interval i ; Based on different interval densities M associated with different change intervals i , select M i The variation interval corresponding to max is taken as the characteristic interval, and the characteristic interval associated with the corresponding storage battery in the corresponding storage power state is recorded, and then the different characteristic intervals associated with the storage battery in different storage power states are recorded in turn.

3. A new type of intelligent energy storage power station energy storage coordination control method according to claim 1, characterized in that: In step 2, the specific sub-steps of distributing electric energy to multiple storage batteries are: The power storage parameter associated with the energy storage power station at the current moment is calibrated as CD, and then the storage battery that is not fully charged is locked and calibrated as a battery to be charged, and the current storage power of the battery to be charged is confirmed, and the associated characteristic interval is locked based on the current storage power, and multiple groups of characteristic intervals associated with multiple groups of batteries to be charged are summed up, and the sum interval is locked, and the minimum value of the sum interval is the sum of the minimum values ​​of multiple characteristic intervals, and the maximum value of the sum interval is the sum of the maximum values ​​of multiple characteristic intervals; Identify whether the currently associated power storage parameter CD satisfies: CD∈total interval. If so, directly distribute the electric energy so that the corresponding single power storage parameters associated with the battery to be charged all belong to the characteristic interval while satisfying that the sum of multiple groups of single power storage parameters is equal to CD, lock the allocated single power storage parameters and perform power storage control.

4. A new type of intelligent energy storage power station energy storage coordination control method according to claim 3, characterized in that: If CD does not satisfy: CD∈sum interval, then identify CD as belonging to: CD<sum interval or CD>sum interval; If CD is less than the total interval, an upward adjustment signal is directly generated, so that the storage parameter associated with the next moment is adjusted upward based on CD, and the middle value of the corresponding characteristic interval of the corresponding battery to be charged is determined, and the determined middle value is calibrated as Z k , where k represents different batteries to be charged, and the determined multiple sets of intermediate values ​​Z k Perform ratio processing, confirm the ratio sequence, and evenly divide the CD according to the confirmed ratio sequence, confirm the single power storage parameter associated with each battery to be charged and perform power storage control.

5. A new type of intelligent energy storage power station energy storage coordination control method according to claim 4, characterized in that: If CD>total interval, a downward adjustment signal is directly generated to reduce the associated power storage parameter at the next moment based on CD, and the maximum value of the corresponding characteristic interval of the corresponding battery to be charged is determined. The determined maximum value is used as the single power storage parameter associated with the corresponding battery to be charged and power storage control is performed.

6. A novel intelligent energy storage power station energy storage coordination control method according to claim 1, characterized in that: In step 3, the specific method of calibrating the abnormal energy storage battery is: The temperature data associated with a single energy storage battery is monitored in real time and calibrated as W q , where q represents different energy storage batteries, and multiple groups of W monitored in real time q Perform variance processing to confirm the temperature variance. If the temperature variance is ≤ Y1, continue monitoring, where Y1 is the preset value. If the temperature variance is > Y1, the monitored multiple sets of temperature data W q Perform mean processing, confirm the temperature mean, and evaluate multiple sets of temperature data W q Does it exist in: (W q -temperature mean)>Y2, where Y2 is the preset value. If it exists, the corresponding temperature data W q The associated energy storage battery is marked as an abnormal energy storage battery, and if it does not exist, it is continuously monitored.

7. A new type of intelligent energy storage power station energy storage coordination control method according to claim 6, characterized in that: In step 3, the specific method for evaluating whether the abnormal energy storage battery has abnormal internal resistance is as follows: S33. For the abnormal energy storage battery calibrated, define a set of monitoring periods T, where T is a preset value, record the initial temperature W1 of the abnormal energy storage battery at the beginning of the monitoring period T and the terminal temperature W2 of the abnormal energy storage battery at the end, and then confirm several sets of current parameters generated by the abnormal energy storage battery within the monitoring period T, average the several sets of current parameters, confirm the average current I, and use Q1=I 2 Rt confirms the standard heat Q1 generated by the abnormal energy storage battery during the monitoring period T, where R is the preset internal resistance value of the abnormal energy storage battery, and t is the total duration of the monitoring period T; Then Q2=mc(W2-W1) is used to confirm the relevant heat Q2 actually generated by this abnormal energy storage battery, where m is the preset battery mass and c is the preset battery specific heat capacity of the battery material; S34. Identify whether the confirmed standard heat Q1 and related heat Q2 satisfy: |Q1-Q2|>Y3, where Y3 is a preset value. If so, the abnormal energy storage battery is calibrated as an abnormal internal resistance battery, and an abnormal internal resistance signal is directly generated for display. If not, no calibration is performed.

8. A novel intelligent energy storage power station energy storage coordination control system, the control system operates according to a novel intelligent energy storage power station energy storage coordination control method according to any one of claims 1 to 7, characterized in that: include: The interval confirmation end confirms the power storage parameters associated with different storage batteries in the energy storage power station, and confirms the characteristic interval associated with the corresponding storage battery under the corresponding storage power state based on multiple groups of storage parameters associated with a single group of storage batteries under different storage power states; The real-time power distribution terminal confirms the power storage parameters associated with the energy storage power station at the current moment, and distributes power to multiple storage batteries based on the characteristic intervals associated with different storage batteries under the corresponding storage power states; The internal resistance abnormality assessment end, based on the temperature data of each energy storage battery in the energy storage power station, confirms whether there are energy storage batteries with abnormal temperature changes, and simultaneously calibrates the abnormal energy storage batteries. By re-monitoring the temperature of the abnormal energy storage batteries, it is assessed whether the abnormal energy storage batteries have abnormal internal resistance and a signal is displayed.

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