A method and system for data lifecycle management

Abstract

The present application relates to the technical field of power system, and more particularly to a data full life cycle management method and system, the minimum value of the power supply of the target micro-grid is obtained, and the power supply threshold of the micro-grid is compared to generate a signal of whether energy storage is possible; based on the energy storage signal, the average change of the power supply of the energy module and the fluctuation value of the power supply of the energy module are obtained, the stability coefficient of the output of the energy module is obtained, the power supply stability state of the target micro-grid is evaluated, and a first energy storage signal is generated; based on the energy storage signal, the average change of the storage power of the energy module and the fluctuation value of the storage power of the energy module are obtained, the stability coefficient of the input of the energy module is obtained, a second energy storage signal is generated, the above energy storage signal is cross-processed to obtain a regulation parameter, and the current micro-grid energy storage is adjusted based on the regulation parameter, the present application improves the timely regulation and management of the micro-grid energy storage in the full life cycle, and ensures the normal and stable operation of the power system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power systems, in particular to a data full life cycle management method and system. BACKGROUND

[0002] A microgrid-oriented modular energy storage device optimization configuration and control method is disclosed in Chinese patent CN107508303B, which comprises the following steps: 1) configuring energy storage power; 2) calculating the energy storage battery capacity; 3) selecting the energy storage battery according to the actual energy storage battery selection principle; 4) during the operation of the microgrid system, the energy storage system charging and discharging state and the charging and discharging value are determined according to the output value of each distributed power source and the state of the energy storage battery SOC and SOH; 5) when it is necessary to switch between on-grid and off-grid, a seamless switching mode is adopted, i.e. seamless switching between off-grid and on-grid, planned off-grid and unplanned off-grid;

[0003] In the prior art, as a new type of small-scale power distribution network, the microgrid has the characteristics of decentralization, high reliability, energy saving and environmental protection, flexibility and economic efficiency, and is an important means to realize the flexible and efficient application of distributed power sources, which has important significance for promoting the sustainable development of the power system. However, in the full life cycle management of the microgrid, the running stability of the microgrid in the cycle cannot be efficiently judged, and based on the judgment result, the corresponding management work is completed to ensure the running stability of the microgrid in the data full life cycle. SUMMARY

[0004] The purpose of the present application is to provide a data full life cycle management method and system, which solves the technical problem that in the full life cycle management of the microgrid, the running stability of the microgrid in the cycle cannot be efficiently judged, and based on the judgment result, the corresponding management work is completed to ensure the running stability of the microgrid in the data full life cycle.

[0005] The purpose of the present application can be achieved by the following technical solutions:

[0006] A data full life cycle management method, comprising the following steps:

[0007] Step one: obtaining the minimum value of the target microgrid power supply power, and comparing it with the microgrid power supply power threshold to generate a storage energy signal;

[0008] Step two: based on the energy storage signal, obtaining the energy module power supply power change mean value and the energy module power supply power fluctuation value, obtaining the stability coefficient of the energy module output, evaluating the power supply stability state of the target microgrid, and generating a first energy storage signal;

[0009] Step three: based on the energy storage signal, the energy module storage power change mean value and the energy module storage power fluctuation value are obtained, the stability coefficient of the energy module input is obtained, the second whether to recommend energy storage signal is generated;

[0010] Step four: based on the energy storage recommendation signal, cross processing is performed to obtain a regulation parameter, and the current micro-grid energy storage is adjusted based on the regulation parameter.

[0011] As a further scheme of the application: in step one, the power supply power corresponding to each time point is obtained, and the minimum power supply power of the micro-grid in the detection period is extracted, which is recorded as the minimum value of the micro-grid power supply power.

[0012] The minimum value of the target micro-grid power supply power is compared with the power supply power threshold value, and the comparison process is as follows:

[0013] If the minimum value of the target micro-grid power supply power is greater than or equal to the power supply power threshold value, the energy storage signal is generated.

[0014] As a further scheme of the application: in step two, the energy module power supply power change mean value and the energy module power supply power fluctuation value are obtained, the energy module power supply power change mean value and the energy module power supply power fluctuation value are summed to obtain the stability coefficient of the energy module output;

[0015] If the stability coefficient of the energy module output is less than the preset stability coefficient threshold value of the energy module output, the first energy storage recommendation signal is generated;

[0016] The stability coefficient of the energy module output is greater than or equal to the preset stability coefficient threshold value of the energy module output, and the first energy storage non-recommendation signal is generated.

[0017] As a further scheme of the application: the energy module power supply power change mean value is obtained in the following manner:

[0018] All peak points and valley points in the power supply power curve are extracted, the coordinate values of adjacent peak points and valley points are obtained, and are recorded as (XFg, YFg) and (XGg, YGg);

[0019] The energy module power supply power change value P1 of each adjacent peak point to valley point is calculated by the formula

[0020] The energy module power supply power change value P1 of all adjacent peak points to valley points in the monitoring period is obtained, and the mean value is calculated to obtain the energy module power supply power change mean value.

[0021] As a further scheme of the application: the energy module power supply power fluctuation value is obtained in the following manner:

[0022] ​Based on the above obtained energy module power supply power change value P1 of each adjacent peak point to trough point, all the energy module power supply power change values P1 of adjacent peak points to trough points are summed and variance calculation is performed to obtain the energy module power supply power fluctuation value.

[0023] As a further scheme of the present application: in step three, when the energy storage signal is received, the energy module storage power change mean value and the energy module storage power fluctuation value are obtained, the energy module charging power maximum change value and the energy module charging power fluctuation value are summed to obtain the stability coefficient of the energy module input;

[0024] If the stability coefficient of the energy module input is less than the preset stability coefficient of the energy module input, a second non-energy storage recommendation signal is generated;

[0025] If the stability coefficient of the energy module input is greater than or equal to the preset stability coefficient of the energy module input, a second energy storage recommendation signal is generated.

[0026] As a further scheme of the present application: the energy module storage power change mean value is obtained in the following manner:

[0027] All the peak points and trough points in the storage power curve are extracted, the coordinates of adjacent peak points and trough points are obtained and recorded as (XFc, YFc) and (XGc, YGc), XFc is the horizontal coordinate value of the peak point, YFc is the vertical coordinate value of the peak point, XGc is the horizontal coordinate value of the trough point, and YGc is the vertical coordinate value of the trough point;

[0028] The energy module storage power change value P2 of each adjacent peak point to trough point is calculated by the formula

[0029] The energy module storage power change values P2 of all the adjacent peak points to trough points in the monitoring period are obtained, and mean value calculation is performed to obtain the energy module storage power change mean value.

[0030] As a further scheme of the present application: the energy module storage power fluctuation value is obtained in the following manner:

[0031] Based on the above obtained energy module storage power change value P2 of each adjacent peak point to trough point, all the energy module storage power change values P2 of adjacent peak points to trough points are summed and variance calculation is performed to obtain the energy module storage power fluctuation value.

[0032] As a further scheme of the present application: in step four, if the first energy storage recommendation signal and the second non-energy storage recommendation signal are obtained at the same time, a storage energy optimization control signal is generated;

[0033] ​When the storage energy optimization control signal is obtained, the target micro-grid power storage current maximum value and the storage regulation coefficient are obtained, and are marked as ICmax and Kt1 respectively, and the target micro-grid charging current maximum regulation value ICt is calculated through the formula ICt=IGmax*Kt1;

[0034] The storage regulation coefficient Kt1 is obtained by the following process:

[0035] The ordinate value YFg of the peak point in the monitoring period is obtained, and the ordinate values YFc of all the peak points are compared with the preset maximum storage power value;

[0036] If the ordinate value YFg of the peak point is greater than or equal to the preset maximum storage power value, a storage power maximum abnormal signal is generated, and the corresponding ordinate value YFc of the peak point is obtained and marked as the storage abnormal peak value FCi, i indicating the number of the peak points corresponding to the storage power maximum abnormal signal;

[0037] If the ordinate value YFc of the peak point is less than the preset maximum storage power value, a storage power maximum normal signal is generated;

[0038] The storage regulation coefficient Kt1 is calculated through the formula ; wherein PCymax represents the preset maximum storage power value.

[0039] A data full life cycle management system, the system comprises:

[0040] The energy storage evaluation module obtains the minimum value of the target micro-grid power supply power and compares it with the micro-grid power supply power threshold to generate a storage possibility signal;

[0041] The power supply side evaluation module obtains the energy module power supply power change average value and the energy module power supply power fluctuation value based on the storage possibility signal, obtains the stability coefficient of the energy module output, evaluates the power supply stability state of the target micro-grid, and generates a first storage suggestion signal;

[0042] The storage side evaluation module obtains the energy module storage power change average value and the energy module storage power fluctuation value based on the storage possibility signal, obtains the stability coefficient of the energy module input, and generates a second storage suggestion signal;

[0043] The optimization management module cross-processes based on the storage suggestion signal to obtain the regulation parameter, and adjusts the current micro-grid energy storage based on the regulation parameter.

[0044] The beneficial effects of the present application are:

[0045] The application obtains the minimum value of the power supply of the target micro-grid, compares it with the power supply threshold of the micro-grid, and generates a storage signal; based on the storage signal, the average change of the power supply of the energy module and the fluctuation value of the power supply of the energy module are obtained, the stability coefficient of the output of the energy module is obtained, the power supply stability state of the target micro-grid is evaluated, and a first storage signal is generated; based on the storage signal, the average change of the storage power of the energy module and the fluctuation value of the storage power of the energy module are obtained, the stability coefficient of the input of the energy module is obtained, a second storage signal is generated, the storage signals are cross-processed, the control parameters are obtained, and the current micro-grid storage is adjusted based on the control parameters. The application collects the power data in the power system in the whole life cycle, evaluates and judges the power operation ability according to the collected data, judges whether the output and input sides of the micro-grid storage module are stable, completes the corresponding control work based on the judgment result, limits the maximum power of the storage module through the charge and discharge current control, improves the timely control and management of the micro-grid storage in the whole life cycle, and ensures the normal and stable operation of the power system. BRIEF DESCRIPTION OF DRAWINGS

[0046] The application will be further described below with reference to the drawings.

[0047] Figure 1 is the flow chart of embodiment 1 of the application;

[0048] Figure 2 is the system block diagram of embodiment 2 of the application. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0050] Embodiment 1

[0051] As shown in Figure 1 , the method for data whole life cycle management comprises the following steps:

[0052] Step 1: obtain the minimum value of the power supply of the target micro-grid, compare it with the power supply threshold of the micro-grid, and generate a storage signal;

[0053] It should be explained that the storage signal includes a power supply storage qualified signal or a power supply storage unqualified signal.

[0054] In some embodiments, a detection period is set, real-time monitoring is performed during micro-grid power supply, power supply power corresponding to each time point is obtained, the minimum power supply power of the micro-grid in the detection period is extracted, and is recorded as the minimum value of the micro-grid power supply power.

[0055] The minimum value of the target micro-grid power supply power is compared with the power supply power threshold, and the comparison process is as follows:

[0056] If the minimum value of the target micro-grid power supply power is greater than or equal to the power supply power threshold, it indicates that the energy storage in the target micro-grid meets the preset micro-grid power supply requirement, and the user can be continuously powered, and a storable energy signal is generated;

[0057] If the minimum value of the target micro-grid power supply power is less than the power supply power threshold, it indicates that the energy storage in the target micro-grid does not meet the preset micro-grid power supply requirement, and the user cannot be continuously powered, and a non-storable energy signal is generated;

[0058] Step two: based on the storable energy signal, the energy module power supply power change mean and the energy module power supply power fluctuation value are obtained, the stability coefficient of the energy module output is obtained, the power supply stability state of the target micro-grid is evaluated, and a first recommended energy storage signal is generated;

[0059] The energy module includes a power type energy storage module, which is a magnetic suspension flywheel energy storage device; an energy type energy storage module, which is a battery energy storage device; and a distributed power generation device, which is a solar photovoltaic power station;

[0060] In some embodiments, when the storable energy signal is received, the energy module power supply power change mean and the energy module power supply power fluctuation value are obtained, the energy module power supply power change mean and the energy module power supply power fluctuation value are summed and calculated, and the stability coefficient of the energy module output is obtained;

[0061] The stability coefficient of the energy module output is compared with the preset stability coefficient threshold of the energy module output, and the comparison process is as follows:

[0062] If the stability coefficient of the energy module output is less than the preset stability coefficient threshold of the energy module output, it indicates that the energy module continuously and stably supplies power during power supply, and a first recommended energy storage signal is generated;

[0063] The stability coefficient of the energy module output is greater than or equal to the preset stability coefficient threshold of the energy module output, which indicates that the target micro-grid cannot effectively and stably supply power during power supply, and a first non-recommended energy storage signal is generated;

[0064] Specifically, the energy module power supply power change mean is obtained in the following manner:

[0065] During the power supply process, the power supply power of each time node of the target micro-grid energy module is monitored, a two-dimensional coordinate system is established, the X-axis represents the time node, and the Y-axis represents the power supply power corresponding to each time node, the monitored power supply power is substituted into the two-dimensional coordinate system, and a power supply power curve is drawn;

[0066] All peak points and valley points in the power supply power curve are extracted, the coordinate values of adjacent peak points and valley points are obtained, and are denoted as (XFg, YFg) and (XGg, YGg), XFg is the horizontal coordinate value of the peak point, YFg is the vertical coordinate value of the peak point, XGg is the horizontal coordinate value of the valley point, and YGg is the vertical coordinate value of the valley point;

[0067] The energy module power supply power change value P1 of each adjacent peak point to valley point is calculated through the formula

[0068] The energy module power supply power change value P1 of all adjacent peak points to valley points in the monitoring period is obtained, and the mean value is calculated to obtain the energy module power supply power change mean value;

[0069] The energy module power supply power fluctuation value is obtained in the following manner:

[0070] Based on the energy module power supply power change value P1 of each adjacent peak point to valley point obtained above, the energy module power supply power change value P1 of all adjacent peak points to valley points is calculated, and the variance is calculated to obtain the energy module power supply power fluctuation value;

[0071] Conception: Through real-time monitoring of the target micro-grid during the power supply process, the energy module power supply power change mean value and the energy module power supply power fluctuation value are obtained, the energy module power supply power change mean value and the energy module power supply power fluctuation value are analyzed, the energy module power supply stability coefficient of the target micro-grid is obtained, and the energy module power supply stability coefficient is evaluated to provide reference data for whether the micro-grid needs timely energy storage, so as to avoid fluctuations in the power grid and ensure normal power demand of users;

[0072] Step three: based on the energy storage signal, the energy module storage power change mean value and the energy module storage power fluctuation value are obtained, the energy module input stability coefficient is obtained, and a second energy storage signal is generated;

[0073] In some embodiments, when the energy storage signal is received, the energy module storage power change mean value and the energy module storage power fluctuation value are obtained, the energy module charging power maximum change value and the energy module charging power fluctuation value are summed to obtain the energy module input stability coefficient;

[0074] ​If the stability coefficient of the energy module input is less than the preset stability coefficient of the energy module input, the energy module energy storage risk coefficient will not affect the normal power supply of the micro-grid, and a second non-energy storage signal is generated;

[0075] If the stability coefficient of the energy module input is greater than or equal to the preset stability coefficient of the energy module input, the energy module energy storage risk coefficient will affect the normal power supply of the micro-grid, and a second energy storage signal is generated;

[0076] Specifically, the energy module storage power change average is obtained in the following manner:

[0077] During storage, the storage power of each time node of the target micro-grid energy module is monitored, a two-dimensional coordinate system is established, the X-axis represents the time node, and the Y-axis represents the storage power corresponding to each time node. The monitored storage power is substituted into the two-dimensional coordinate system to draw a storage power curve;

[0078] The peak points and valley points of the storage power curve are extracted, and the coordinates of adjacent peak points and valley points are obtained and denoted as (XFc, YFc) and (XGc, YGc). XFc is the horizontal coordinate value of the peak point, YFc is the vertical coordinate value of the peak point, XGc is the horizontal coordinate value of the valley point, and YGc is the vertical coordinate value of the valley point.

[0079] The energy module storage power change value P2 of each adjacent peak point to valley point is calculated by the formula

[0080] The energy module storage power change value P2 of all adjacent peak points to valley points in the monitoring period is obtained, and the mean value is calculated to obtain the energy module storage power change average.

[0081] The energy module storage power fluctuation value is obtained in the following manner:

[0082] Based on the energy module storage power change value P2 of each adjacent peak point to valley point obtained above, the energy module storage power change value P2 of all adjacent peak points to valley points is calculated, and the variance is calculated to obtain the energy module storage power fluctuation value.

[0083] Concept: Through real-time monitoring of the target micro-grid during storage, the energy module storage power change average and the energy module storage power fluctuation value are obtained. Based on the energy module storage power change average and the energy module storage power fluctuation value, the energy module storage stability coefficient of the target micro-grid is obtained. Through the evaluation of the energy module storage stability coefficient, reference data is provided for whether the micro-grid needs timely energy storage, avoiding fluctuations in the power grid and ensuring normal power demand of users;

[0084] ​Step four: cross processing based on the above energy storage suggestion signal to obtain the regulation parameter, and then adjusting the current micro-grid energy storage based on the regulation parameter;

[0085] The energy storage suggestion signal includes the first suggestion energy storage signal, the first unsuggestion energy storage signal, the second suggestion energy storage signal and the second unsuggestion energy storage signal.

[0086] In some embodiments, after cross processing the first suggestion energy storage signal, the first unsuggestion energy storage signal, the second suggestion energy storage signal and the second unsuggestion energy storage signal, the following situations are obtained:

[0087] If the first suggestion energy storage signal and the second suggestion energy storage signal are obtained at the same time, it indicates that the target micro-grid power supply is stable, and the energy module energy storage risk coefficient is low, which is convenient for stable support of user electricity demand, and then a storage energy working signal is generated to control the micro-grid to continue the storage energy working;

[0088] If the first suggestion energy storage signal and the second unsuggestion energy storage signal are obtained at the same time, it indicates that the target micro-grid power supply side is stable, and the storage side is unstable, which is not convenient for stable support of user electricity demand, and then a storage energy optimization control signal is generated;

[0089] If the first unsuggestion energy storage signal and the second suggestion energy storage signal are obtained at the same time, it indicates that the target micro-grid power supply side is unstable, and the storage side is stable, which is not convenient for stable support of user electricity demand, and then a power supply energy optimization control signal is generated;

[0090] If the first unsuggestion energy storage signal and the second unsuggestion energy storage signal are obtained at the same time, a check signal is generated to check the fault of the energy storage module;

[0091] When the storage energy optimization control signal is obtained, the target micro-grid power storage current maximum value and the storage regulation coefficient are obtained, and are marked as ICmax and Kt1 respectively, and the target micro-grid charging current maximum regulation value ICt is calculated through the formula ICt=IGmax*Kt1.

[0092] The storage regulation coefficient Kt1 is obtained as follows:

[0093] The ordinate value YFg of the wave peak point in the monitoring period is obtained, and the ordinate value YFc of all wave peak points is compared with the preset maximum storage power value;

[0094] If the ordinate value YFg of the wave peak point is greater than or equal to the preset maximum storage power value, a maximum storage power abnormal signal is generated, and the corresponding ordinate value YFc of the wave peak point is obtained and marked as the storage abnormal wave peak value FCi, i represents the number of wave peak points corresponding to the maximum storage power abnormal signal;

[0095] If the vertical coordinate value YFc of the wave peak point is less than the preset maximum storage power value, a maximum storage power normal signal is generated;

[0096] The storage control coefficient Kt1 is calculated by the formula ; wherein PCymax represents the preset maximum storage power value.

[0097] When the power supply energy storage optimization control signal is obtained, the target micro-grid power supply current maximum value and the power supply control coefficient are obtained and marked as IGmax and Kt2 respectively, and the target micro-grid discharge current maximum control value IGt is calculated by the formula IGt = IGmax*Kt2.

[0098] The power supply control coefficient Kt is obtained by the following formula:

[0099] The vertical coordinate value YFg of the wave peak point in the monitoring period is obtained, and the vertical coordinate value YFg of all wave peak points is compared with the preset maximum power supply value.

[0100] If the vertical coordinate value YFg of the wave peak point is greater than or equal to the preset maximum power supply value, a maximum power supply abnormal signal is generated, and the vertical coordinate value YFg of the corresponding wave peak point is obtained and marked as the power supply abnormal wave peak value FGi, i representing the number of wave peak points corresponding to the maximum power supply abnormal signal.

[0101] If the vertical coordinate value YFg of the wave peak point is less than the preset maximum power supply value, a maximum power supply normal signal is generated.

[0102] The power supply control coefficient Kt is calculated by the formula ; wherein PGymax represents the preset maximum power supply value.

[0103] The technical scheme of the embodiment of the present application is: a minimum value of target micro-grid power supply power is acquired, and compared with a micro-grid power supply power threshold to generate a storage signal; based on the storage signal, a mean value of energy module power supply power change and a fluctuation value of energy module power supply power are acquired to obtain a stability coefficient of energy module output, the power supply stability state of the target micro-grid is evaluated to generate a first storage signal; based on the storage signal, a mean value of energy module storage power change and a fluctuation value of energy module storage power are acquired to obtain a stability coefficient of energy module input, a second storage signal is generated, the storage signal is cross-processed to obtain a regulation parameter, and the current micro-grid storage is adjusted based on the regulation parameter. The present application collects power data in the power system in the whole life cycle, evaluates and judges the power running ability according to the collected data, judges whether the input and output sides of the micro-grid storage module are stable, completes corresponding regulation work based on the judgment result, limits the maximum power of the storage module through the charge and discharge current regulation, realizes timely regulation and management of the micro-grid storage in the whole life cycle, and ensures the normal and stable operation of the power system.

[0104] Embodiment 2

[0105] As shown in Figure 2 , the system for data whole life cycle management comprises:

[0106] The storage evaluation module acquires a minimum value of target micro-grid power supply power, and compares the minimum value with a micro-grid power supply power threshold to generate a storage signal.

[0107] The power supply side evaluation module acquires a mean value of energy module power supply power change and a fluctuation value of energy module power supply power based on the storage signal to obtain a stability coefficient of energy module output, evaluates the power supply stability state of the target micro-grid, and generates a first storage signal.

[0108] The storage side evaluation module acquires a mean value of energy module storage power change and a fluctuation value of energy module storage power based on the storage signal to obtain a stability coefficient of energy module input, and generates a second storage signal.

[0109] The optimization management module cross-processes the storage signal to obtain a regulation parameter, and adjusts the current micro-grid storage based on the regulation parameter.

[0110] The above formulas are all dimensionless values, and the formulas are obtained by collecting a large amount of data to simulate the most real situation, and the preset parameters in the formulas are set by the person skilled in the art according to the actual situation.

[0111] The above has been described in detail one embodiment of the present application, but the content is only the preferred embodiment of the present application, cannot be considered for limiting the scope of the present application. Any equivalent changes and improvements made in the scope of the present application, should still belong to the scope of the present application.

Claims

1. A method for data lifecycle governance, characterized in that, The following steps are involved: Step 1: Obtain the minimum power supply value of the target microgrid and compare it with the microgrid power supply threshold to generate a signal indicating whether energy storage is possible; Step 2: Based on the energy storage signal, obtain the mean value of the energy module power supply change and the energy module power supply fluctuation value, obtain the stability coefficient of the energy module output, evaluate the power supply stability of the target microgrid, and generate a first recommended energy storage signal; Step 3: Based on the energy storage signal, obtain the energy module storage power change mean and energy module storage power fluctuation value, obtain the energy module input stability coefficient, and generate a second energy storage recommendation signal; Step 4: Perform cross-processing based on the energy storage recommendation signal to obtain control parameters, and then adjust the current microgrid energy storage based on the control parameters; Extract all peaks and valleys in the power supply curve, obtain the coordinates of adjacent peaks and valleys, and record them as (XFg, YFg) and (XGg, YGg); The energy module power supply power change value P1 from each adjacent wave peak point to wave trough point is calculated by formula ; Extract all peaks and valleys in the stored power curve, obtain the coordinates of adjacent peaks and valleys, and record them as (XFc, YFc) and (XGc, YGc), where XFc is the abscissa of the peak point, YFc is the ordinate of the peak point, XGc is the abscissa of the valley point, and YGc is the ordinate of the valley point. The energy module storage power change value P2 from each adjacent peak point to trough point is calculated by the formula ​ In step 4, if the first energy storage recommendation signal and the second energy storage non-recommendation signal are obtained at the same time, an energy storage optimization control signal is generated; When the storage energy optimization control signal is obtained, the target micro-grid power storage current maximum value and the storage regulation coefficient are obtained, and are marked as ICmax and Kt1 respectively, and the maximum regulation value ICt of the target micro-grid charging current is calculated by formula ​ The acquisition process of the storage control coefficient Kt1 is as follows: Obtain the ordinate value YFg of the peak point within the monitoring period, and compare the ordinate values ​​YFc of all the peak points with the preset maximum value of the stored power; If the vertical coordinate value YFg of the peak point is greater than or equal to the preset maximum storage power value, a maximum storage power abnormal signal is generated, and the vertical coordinate value YFc of the corresponding peak point is obtained at the same time, marked as the storage abnormality peak value FCi, where i represents the number of peak points corresponding to the maximum storage power abnormal signal; If the vertical coordinate value YFc of the peak point is less than the preset maximum storage power value, a maximum storage power normal signal is generated; The storage control coefficient Kt1 is calculated by the formula ; wherein PCymax represents a preset maximum storage power.

2. The method for data lifecycle governance according to claim 1, characterized in that, In step 1, the power supply corresponding to each time point is obtained, and the minimum power supply power of the microgrid within the detection period is extracted and recorded as the minimum power supply power of the microgrid; Compare the target microgrid's minimum power supply value with the power supply threshold. The comparison process is as follows: If the minimum power supply power of the target microgrid is greater than or equal to the power supply power threshold, an energy storage signal is generated.

3. The method of claim 1, wherein, In step 2, the mean value of the power supply change of the energy module and the power supply fluctuation value of the energy module are obtained, and the mean value of the power supply change of the energy module and the power supply fluctuation value of the energy module are summed to obtain the stability coefficient of the energy module output; If the stability coefficient output by the energy module is less than a preset stability coefficient threshold of the energy module output, a first energy storage recommendation signal is generated; The stability coefficient of the energy module output is greater than or equal to a preset stability coefficient threshold of the energy module output, and a first energy storage not recommended signal is generated.

4. The method of claim 3, wherein, The method for obtaining the mean value of the power supply change of the energy module is as follows: Obtain all adjacent peak point to trough point energy module power supply power change value P1 in the monitoring period, and perform mean value calculation to obtain the energy module power supply power change mean value.

5. The method of claim 4, wherein, The energy module power supply power fluctuation value is obtained in the following manner: Based on the above-mentioned energy module power supply power change value P1 of each adjacent peak point to trough point, all adjacent peak point to trough point energy module power supply power change value P1 is calculated, and the energy module power supply power fluctuation value is obtained.

6. The method of data lifecycle governance according to claim 1, wherein, In step three, when receiving the energy storage signal, the energy module storage power change mean value and the energy module storage power fluctuation value are obtained, the energy module storage power change mean value and the energy module charging power fluctuation value are summed, and the energy module input stability coefficient is obtained; If the energy module input stability coefficient is less than the preset energy module input stability coefficient, a second non-energy storage signal is generated; If the energy module input stability coefficient is greater than or equal to the preset energy module input stability coefficient, a second energy storage signal is generated.

7. The method of data lifecycle governance according to claim 6, wherein, The energy module storage power change mean value is obtained in the following manner: Obtain all adjacent peak point to trough point energy module storage power change value P2 in the monitoring period, and perform mean value calculation to obtain the energy module storage power change mean value.

8. The method of data lifecycle governance according to claim 7, wherein, The energy module storage power fluctuation value is obtained in the following manner: Based on the above-mentioned energy module storage power change value P2 of each adjacent peak point to trough point, all adjacent peak point to trough point energy module storage power change value P2 is calculated, and the energy module storage power fluctuation value is obtained.

9. A system for data lifecycle governance, characterized in that, The system is used to execute the method of any one of claims 1-8, and the system comprises: Energy storage evaluation module: obtain the minimum value of the target micro-grid power supply power, and compare it with the micro-grid power supply power threshold to generate a possible energy storage signal; Supply side evaluation module: based on the energy storage signal, obtain the energy module power supply power change mean value and the energy module power supply power fluctuation value, obtain the energy module output stability coefficient, evaluate the power supply stability state of the target micro-grid, and generate a first energy storage signal; Storage side evaluation module: based on the energy storage signal, obtain the energy module storage power change mean value and the energy module storage power fluctuation value, obtain the energy module input stability coefficient, and generate a second energy storage signal; Optimization management module: based on the energy storage signal, cross processing is performed to obtain the control parameter, and the current micro-grid energy storage is adjusted based on the control parameter.

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