Data full life cycle management method and system

Abstract

The invention relates to the technical field of power systems, in particular to a data full-life-cycle management method and system, and the method comprises the steps: obtaining a target microgrid power supply power minimum value, comparing the minimum value with a microgrid power supply power threshold value, and generating a signal whether energy storage is possible or not; based on the energy storable signal, obtaining an energy module power supply power change mean value and an energy module power supply power fluctuation value, obtaining a stability coefficient output by the energy module, evaluating a power supply stable state of the target microgrid, and generating a first suggested energy storage signal; based on the energy storable signal, obtaining an energy module storage power change mean value and an energy module storage power fluctuation value, obtaining a stability coefficient input by the energy module, generating a second energy storage suggestion signal, and performing cross processing based on the energy storage suggestion signal to obtain a regulation and control parameter; according to the micro-grid energy storage regulation and control method, the micro-grid energy storage can be regulated and controlled in time in the whole life cycle, and normal and stable operation of a power system is guaranteed.

Description

Technical Field

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

[0002] Chinese patent CN107508303B discloses a modular energy storage device optimization configuration and control method for microgrids, including the following steps: 1) configuring energy storage power; 2) calculating the capacity of the energy storage battery; 3) selecting the energy storage battery according to the actual energy storage battery selection principle; 4) during the operation of the microgrid system, establishing the charge and discharge state and charge and discharge value of the energy storage system according to the output value of each distributed power source and the SOC and SOH conditions of the energy storage battery; 5) when switching between grid and off-grid is required, a seamless switching mode is adopted, that is, off-grid to grid, planned off-grid and unplanned off-grid are all seamlessly switched;

[0003] In the existing technology, microgrid, as a new type of small-scale power generation and distribution network, has the characteristics of decentralization, high reliability, energy saving and environmental protection, strong flexibility and excellent economy. It is an important means to realize the flexible and efficient application of distributed power sources, and is of great significance to promoting the sustainable development of the power system. However, in the process of managing the microgrid throughout its life cycle, it is impossible to make an efficient judgment on the operational stability of the microgrid within the cycle, and complete the corresponding governance work based on the judgment results to ensure the operational stability of the microgrid throughout the data life cycle. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for data full life cycle management. The technical problem solved by the present invention is: in the process of managing a microgrid throughout its life cycle, it is impossible to efficiently judge the operational stability of the microgrid within the cycle, and based on the judgment results, complete the corresponding governance work to ensure the operational stability of the microgrid throughout the data life cycle.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A method for data full life cycle governance includes the following steps:

[0007] Step 1: Obtain the minimum power supply power of the target microgrid, compare it with the power supply power threshold of the microgrid, and generate a signal whether energy storage is possible;

[0008] Step 2: Based on the energy storage signal, obtain the mean value of the power supply change of the energy module and the power supply fluctuation value of the energy module, obtain the stability coefficient of the energy module output, evaluate the power supply stability state of the target microgrid, and generate the first recommended energy storage signal;

[0009] Step 3: Based on the energy storage signal, obtain the energy module storage power change mean and the energy module storage power fluctuation value, obtain the stability coefficient of the energy module input, and generate the second energy storage recommendation signal;

[0010] Step 4: Perform cross processing based on the energy storage recommendation signal to obtain the control parameters, and then adjust the current microgrid energy storage based on the control parameters.

[0011] As a further solution of the present invention: in step one, the power supply power 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.

[0012] The minimum power supply power of the target microgrid is compared with the power supply power threshold. The comparison process is as follows:

[0013] 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.

[0014] As a further solution of the present invention: in step 2, the mean value of the power supply change of the energy module and the power supply power 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 power fluctuation value of the energy module are summed to obtain the stability coefficient of the energy module output;

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

[0016] 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 signal not recommending energy storage is generated.

[0017] As a further solution of the present invention: the method for obtaining the mean value of the power supply change of the energy module is:

[0018] Extract all the peak points and trough points in the power supply curve, obtain the coordinate values ​​of adjacent peak points and trough points, and record them as (XFg, YFg) and (XGg, YGg);

[0019] By formula Calculate the power supply change value P1 of the energy module from each adjacent peak point to the trough point;

[0020] Obtain the power supply power change values ​​P1 of all energy modules from adjacent peak points to trough points within the monitoring period, and perform average calculation to obtain the average value of the power supply power change of the energy module.

[0021] As a further solution of the present invention: the method for obtaining the power fluctuation value of the energy module power supply is:

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

[0023] As a further solution of the present invention: in step 3, when the energy storage signal is received, the mean value of the energy module storage power change and the energy module storage power fluctuation value are obtained, and the maximum change value of the energy module charging power and the energy module charging power fluctuation value are summed and calculated 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 signal not recommending energy storage 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 recommended energy storage signal is generated.

[0026] As a further solution of the present invention: the method for obtaining the mean value of the energy module storage power change is:

[0027] Extract all the peak points and trough points in the stored power curve, obtain the coordinate values ​​of the adjacent peak points and trough points, and record them as (XFc, YFc) and (XGc, YGc), where 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] By formula Calculate the energy module storage power change value P2 from each adjacent peak point to the trough point;

[0029] Obtain the energy module storage power change values ​​P2 from all adjacent peak points to trough points within the monitoring period, and perform average calculation to obtain the energy module storage power change average.

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

[0031] Based on the energy module storage power change value P2 from each adjacent peak point to the trough point obtained above, all the energy module storage power change values ​​P2 from the adjacent peak point to the trough point are calculated, and the variance is calculated to obtain the energy module storage power fluctuation value.

[0032] As a further solution of the present invention: 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;

[0033] When the storage energy storage optimization control signal is obtained, the maximum power storage current and storage regulation coefficient of the target microgrid are obtained and marked as ICmax and Kt1 respectively. The maximum regulation value ICt of the charging current of the target microgrid is calculated by the formula ICt=IGmax*Kt1;

[0034] The process of obtaining the storage control coefficient Kt1 is as follows:

[0035] 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;

[0036] If the ordinate 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 ordinate value YFc of the corresponding peak point is obtained, marked as the storage abnormal peak value FCi, where i represents the number of peak points corresponding to the maximum storage power abnormal signal;

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

[0038] By formula The storage regulation coefficient Kt1 is calculated, wherein PCymax represents the preset maximum storage power.

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

[0040] Energy storage evaluation module: obtains the minimum power supply value of the target microgrid, compares it with the microgrid power supply threshold, and generates a signal whether energy storage is allowed;

[0041] Power supply side evaluation module: Based on the energy storage signal, obtain the mean value of the power supply change of the energy module and the power supply fluctuation value of the energy module, obtain the stability coefficient of the energy module output, evaluate the power supply stability of the target microgrid, and generate the first recommended energy storage signal;

[0042] Storage side evaluation module: Based on the energy storage signal, obtain the energy module storage power change mean and energy module storage power fluctuation value, obtain the stability coefficient of the energy module input, and generate the second energy storage recommendation signal;

[0043] Optimization management module: Perform cross-processing based on energy storage recommendation signals to obtain control parameters, and then adjust the current microgrid energy storage based on the control parameters.

[0044] Beneficial effects of the present invention:

[0045] The present invention obtains the minimum power supply power of the target microgrid, and compares it with the power supply power threshold of the microgrid to generate a signal whether energy storage is possible; based on the energy storage signal, the mean value of the power supply power change of the energy module and the power supply power fluctuation value of the energy module are obtained to obtain the stability coefficient of the energy module output, evaluate the power supply stability state of the target microgrid, and generate a first recommended energy storage signal; based on the energy storage signal, the mean value of the storage power change of the energy module and the storage power fluctuation value of the energy module are obtained to obtain the stability coefficient of the energy module input, and generate a second recommended energy storage signal, cross-processing is performed based on the above energy storage recommendation signal to obtain the control parameters, and then the current microgrid energy storage is adjusted based on the control parameters. The present invention collects power data in the power system throughout the life cycle, evaluates and judges the status of its power operation capacity according to the collected data, judges whether the output and input sides of the microgrid energy storage module are stable, and completes the corresponding control work based on the judgment result. By managing the charging and discharging current of the energy storage module, the maximum power of the energy storage module can be limited, so as to improve the timely control and management of the microgrid energy storage in the whole life cycle, and ensure the normal and stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Figure 1 is a flowchart of Embodiment 1 of the present invention;

[0048] Figure 2 It is a system block diagram of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0049] 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.

[0050] Example 1

[0051] like Figure 1 As shown, a method for data full life cycle management according to an embodiment of the present invention includes the following steps:

[0052] Step 1: Obtain the minimum power supply power of the target microgrid, compare it with the power supply power threshold of the microgrid, and generate a signal whether energy storage is possible;

[0053] It needs to be explained that: the energy storage signal includes: a power supply energy storage qualified signal or a power supply energy storage unqualified signal;

[0054] In some embodiments, a detection cycle is set, and real-time monitoring is performed during the power supply process of the microgrid to obtain the power supply power corresponding to each time point, and the minimum power supply power of the microgrid within the detection cycle is extracted and recorded as the minimum power supply power of the microgrid.

[0055] The minimum power supply power of the target microgrid is compared with the power supply power threshold. The comparison process is as follows:

[0056] If the minimum power supply power of the target microgrid is greater than or equal to the power supply power threshold, it means that the energy storage in the target microgrid meets the preset microgrid power supply requirements and can continuously supply power to users, generating an energy storage signal;

[0057] If the minimum power supply power of the target microgrid is less than the power supply power threshold, it means that the energy storage in the target microgrid does not meet the preset microgrid power supply requirements and cannot continuously supply power to users, and a non-storage signal is generated;

[0058] Step 2: Based on the energy storage signal, obtain the mean value of the power supply change of the energy module and the power supply fluctuation value of the energy module, obtain the stability coefficient of the energy module output, evaluate the power supply stability state of the target microgrid, and generate the first recommended energy storage signal;

[0059] Among them, the energy module includes a power type energy storage module which is a magnetic levitation 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 an energy storage signal is received, an average value of power supply change of the energy module and a power supply power fluctuation value of the energy module are obtained, and the average value of power supply change of the energy module and the power supply power fluctuation value of the energy module are summed to obtain a stability coefficient of the energy module output;

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

[0062] If the stability coefficient output by the energy module is less than a preset stability coefficient threshold of the energy module output, it means that the energy module continues to supply power stably during the power supply process, and a first recommended energy storage signal is generated;

[0063] If the stability coefficient output by the energy module is greater than or equal to a preset threshold value of the stability coefficient output by the energy module, it means that the target microgrid cannot effectively and stably supply power during the power supply process, and a first signal not recommending energy storage is generated;

[0064] Specifically, the way to obtain the mean value of the power supply change of the energy module is as follows:

[0065] During the power supply process, the power supply power corresponding to each time node of the target microgrid energy module is monitored, and 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 to draw a power supply power curve;

[0066] Extract all the peak points and trough points in the power supply power curve, obtain the coordinate values ​​of adjacent peak points and trough points, and record them as (XFg, YFg) and (XGg, YGg), where 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 trough point, and YGg is the vertical coordinate value of the trough point;

[0067] By formula Calculate the power supply change value P1 of the energy module from each adjacent peak point to the trough point;

[0068] Obtain the power supply power change values ​​P1 of all energy modules from adjacent peak points to trough points within the monitoring period, and perform average calculation to obtain the average power supply power change value of the energy module;

[0069] The method for obtaining the power fluctuation value of the energy module is as follows:

[0070] Based on the energy module power supply power change value P1 from each adjacent peak point to the trough point obtained above, all the energy module power supply power change values ​​P1 from the adjacent peak point to the trough point are calculated, and the variance is calculated to obtain the energy module power supply power fluctuation value;

[0071] Concept: Through real-time monitoring of the target microgrid during the power supply process, the mean value of the energy module power supply power change and the energy module power supply power fluctuation value are obtained. Based on the analysis of the mean value of the energy module power supply power change and the energy module power supply power fluctuation value, the energy module power supply stability coefficient of the target microgrid is obtained. Through the evaluation of the energy module power supply stability coefficient, reference data is provided for whether the microgrid needs timely energy storage to avoid fluctuations in the power grid and the inability to guarantee the normal power demand of users;

[0072] Step 3: Based on the energy storage signal, obtain the energy module storage power change mean and the energy module storage power fluctuation value, obtain the stability coefficient of the energy module input, and generate the second energy storage recommendation signal;

[0073] In some embodiments, when an energy storage signal is received, the energy module storage power change mean and the energy module storage power fluctuation value are obtained, and 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;

[0074] If the stability coefficient of the energy module input is less than the preset stability coefficient of the energy module input, the energy storage risk of the energy module will not affect the normal power supply of the microgrid, and a second signal not recommending energy storage 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 storage risk coefficient of the energy module affects the normal power supply of the microgrid, and a second recommended energy storage signal is generated;

[0076] Specifically, the method for obtaining the mean value of the energy module storage power change is:

[0077] During the storage process, the storage power corresponding to each time node of the target microgrid energy module is monitored, and 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] Extract all the peak points and trough points in the stored power curve, obtain the coordinate values ​​of the adjacent peak points and trough points, and record them as (XFc, YFc) and (XGc, YGc), where 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;

[0079] By formula Calculate the energy module storage power change value P2 from each adjacent peak point to the trough point;

[0080] Obtain the energy module storage power change values ​​P2 from all adjacent peak points to trough points within the monitoring period, and perform average calculation to obtain the average value of the energy module storage power change;

[0081] The way to obtain the power fluctuation value stored in the energy module is as follows:

[0082] Based on the energy module storage power change value P2 from each adjacent peak point to the trough point obtained above, all the energy module storage power change values ​​P2 from the adjacent peak point to the trough point are calculated, and the variance is calculated to obtain the energy module storage power fluctuation value;

[0083] Concept: Through real-time monitoring of the target microgrid during the storage process, the mean value of the energy module storage power change and the energy module storage power fluctuation value are obtained. Based on the analysis of the mean value of the energy module storage power change and the energy module storage power fluctuation value, the energy module storage stability coefficient of the target microgrid is obtained. Through the evaluation of the energy module storage stability coefficient, reference data is provided for whether the microgrid needs to store energy in time to avoid fluctuations in the power grid and the inability to guarantee the normal electricity demand of users;

[0084] Step 4: Perform cross processing based on the above energy storage recommendation signal to obtain control parameters, and then adjust the current microgrid energy storage based on the control parameters;

[0085] The energy storage recommendation signal includes the first energy storage recommendation signal, the first energy storage non-recommendation signal, the second energy storage recommendation signal, and the second energy storage non-recommendation signal.

[0086] In some embodiments, after cross-processing the first energy storage recommendation signal, the first energy storage non-recommendation signal, the second energy storage recommendation signal, and the second energy storage non-recommendation signal, the following situation is obtained:

[0087] If the first recommended energy storage signal and the second recommended energy storage signal are obtained at the same time, it means that the target microgrid has a stable power supply and the energy module has a low energy storage risk factor, which is convenient for stably supporting the user's electricity demand. Then, an energy storage working signal is generated to control the microgrid to continue the energy storage work.

[0088] If the first energy storage recommendation signal and the second energy storage non-recommendation signal are obtained at the same time, it means that the power supply side of the target microgrid is stable, but the storage side is unstable, which is not convenient for stably supporting the user's electricity demand, and an energy storage optimization control signal is generated;

[0089] If the first signal not recommending energy storage and the second signal recommending energy storage are obtained at the same time, it means that the power supply side of the target microgrid is unstable, and the storage side is stable, which is not convenient for stably supporting the user's electricity demand, and a power supply and energy storage optimization control signal is generated;

[0090] If the first energy storage not recommended signal and the second energy storage not recommended 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 storage optimization control signal is obtained, the maximum power storage current and storage regulation coefficient of the target microgrid are obtained and marked as ICmax and Kt1 respectively. The maximum regulation value ICt of the charging current of the target microgrid is calculated by the formula ICt=IGmax*Kt1;

[0092] The process of obtaining the storage control coefficient Kt1 is as follows:

[0093] 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;

[0094] If the ordinate 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 ordinate value YFc of the corresponding peak point is obtained, marked as the storage abnormal peak value FCi, where i represents the number of peak points corresponding to the maximum storage power abnormal signal;

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

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

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

[0098] Among them, the process of obtaining the power supply regulation coefficient Kt is:

[0099] Obtain the ordinate value YFg of the peak point within the monitoring period, and compare the ordinate values ​​YFg of all the peak points with the preset maximum power supply power;

[0100] If the ordinate value YFg of the peak point is greater than or equal to the preset maximum power supply power value, a maximum power supply power abnormal signal is generated, and the ordinate value YFg of the corresponding peak point is obtained, marked as the power supply abnormal peak value FGi, where i represents the number of peak points corresponding to the maximum power supply power abnormal signal;

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

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

[0103] The technical solution of the embodiment of the present invention is as follows: obtaining the minimum power supply power of the target microgrid and comparing it with the power supply power threshold of the microgrid to generate a signal whether energy storage is possible; based on the energy storage signal, obtaining the mean value of the power supply power change of the energy module and the power supply power fluctuation value of the energy module, obtaining the stability coefficient of the output of the energy module, evaluating the power supply stability state of the target microgrid, and generating a first recommended energy storage signal; based on the energy storage signal, obtaining the mean value of the storage power change of the energy module and the storage power fluctuation value of the energy module, obtaining the stability coefficient of the input of the energy module, generating a second recommended energy storage signal, cross-processing based on the above energy storage recommendation signal to obtain the control parameters, and then adjusting the current microgrid energy storage based on the control parameters. The present invention collects power data in the power system throughout the life cycle, evaluates and judges the power operation capacity according to the collected data, judges whether the input and output sides of the microgrid energy storage module are stable, and completes the corresponding control work based on the judgment result. By managing the charging and discharging current of the energy storage module, the maximum power of the energy storage module can be limited to improve the microgrid energy storage. Timely control and management are carried out in the whole life cycle to ensure the normal and stable operation of the power system.

[0104] Example 2

[0105] like Figure 2 As shown, a system for data full life cycle management according to an embodiment of the present invention includes:

[0106] Energy storage evaluation module: obtains the minimum power supply value of the target microgrid, compares it with the microgrid power supply threshold, and generates a signal whether energy storage is allowed;

[0107] Power supply side evaluation module: Based on the energy storage signal, obtain the mean value of the power supply change of the energy module and the power supply fluctuation value of the energy module, obtain the stability coefficient of the energy module output, evaluate the power supply stability of the target microgrid, and generate the first recommended energy storage signal;

[0108] Storage side evaluation module: Based on the energy storage signal, obtain the energy module storage power change mean and energy module storage power fluctuation value, obtain the stability coefficient of the energy module input, and generate the second energy storage recommendation signal;

[0109] Optimization management module: Perform cross-processing based on energy storage recommendation signals to obtain control parameters, and then adjust the current microgrid energy storage based on the control parameters.

[0110] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0111] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for data full life cycle management, characterized in that: The following steps are involved: Step 1: Obtain the minimum power supply power of the target microgrid, compare it with the power supply power threshold of the microgrid, and generate a signal whether energy storage is possible; Step 2: Based on the energy storage signal, obtain the mean value of the power supply change of the energy module and the power supply fluctuation value of the energy module, obtain the stability coefficient of the energy module output, evaluate the power supply stability state of the target microgrid, and generate the first recommended energy storage signal; Step 3: Based on the energy storage signal, obtain the energy module storage power change mean and the energy module storage power fluctuation value, obtain the stability coefficient of the energy module input, and generate the second energy storage recommendation signal; Step 4: Perform cross processing based on the energy storage recommendation signal to obtain the control parameters, and then adjust the current microgrid energy storage based on the control parameters.

2. A method for data full life cycle management according to claim 1, characterized in that: In step 1, the power supply power 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. The minimum power supply power of the target microgrid is compared with the power supply power 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. According to the method of data full life cycle management described in claim 1, it is characterized in that: In step 2, the mean value of the power supply change of the energy module and the power supply power 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 power 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 suggested energy storage 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 signal not recommending energy storage is generated.

4. A method for data full life cycle management according to claim 3, characterized in that: The method for obtaining the mean value of the power supply change of the energy module is as follows: Extract all the peak points and trough points in the power supply curve, obtain the coordinate values ​​of adjacent peak points and trough points, and record them as (XFg, YFg) and (XGg, YGg); By formula Calculate the power supply change value P1 of the energy module from each adjacent peak point to the trough point; Obtain the power supply power change values ​​P1 of all energy modules from adjacent peak points to trough points within the monitoring period, and perform average calculation to obtain the average value of the power supply power change of the energy module.

5. A method for data full life cycle management according to claim 4, characterized in that: The method for obtaining the power fluctuation value of the energy module is as follows: Based on the energy module power supply power change value P1 from each adjacent peak point to the trough point obtained above, all the energy module power supply power change values ​​P1 from the adjacent peak point to the trough point are calculated and variance is calculated to obtain the energy module power supply power fluctuation value.

6. A method for data full life cycle management according to claim 1, characterized in that: In step 3, when the energy storage signal is received, the average value of the energy module storage power change and the energy module storage power fluctuation value are obtained, and the maximum change value of the energy module charging power and the energy module charging power fluctuation value are summed to obtain the stability coefficient of the energy module input; If the stability coefficient of the energy module input is less than the preset stability coefficient of the energy module input, a second signal not recommending energy storage is generated; 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 recommended energy storage signal is generated.

7. A method for data full life cycle management according to claim 6, characterized in that: The way to obtain the mean value of the energy module storage power change is: Extract all the peak points and trough points in the stored power curve, obtain the coordinate values ​​of the adjacent peak points and trough points, and record them as (XFc, YFc) and (XGc, YGc), where 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; By formula Calculate the energy module storage power change value P2 from each adjacent peak point to the trough point; Obtain the energy module storage power change values ​​P2 from all adjacent peak points to trough points within the monitoring period, and perform average calculation to obtain the energy module storage power change average.

8. A method for data full life cycle management according to claim 7, characterized in that: The way to obtain the power fluctuation value stored in the energy module is as follows: Based on the energy module storage power change value P2 from each adjacent peak point to the trough point obtained above, all the energy module storage power change values ​​P2 from the adjacent peak point to the trough point are calculated, and the variance is calculated to obtain the energy module storage power fluctuation value.

9. A method for data full life cycle management according to claim 1, characterized in that: 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 storage optimization control signal is obtained, the maximum value of the target microgrid power storage current and the storage regulation coefficient are obtained, and are marked as ICmax and Kt1 respectively. The maximum regulation value ICt of the target microgrid charging current is calculated by the formula ICt=IGmax*Kt1; The process of obtaining 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 ordinate 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 ordinate value YFc of the corresponding peak point is obtained, marked as the storage abnormal 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 normal signal with maximum storage power is generated; By formula The storage regulation coefficient Kt1 is calculated, wherein PCymax represents the preset maximum storage power.

10. A system for data full life cycle management, characterized in that: The system is used to execute the method described in any one of claims 1 to 9, and the system comprises: Energy storage evaluation module: obtains the minimum power supply value of the target microgrid, compares it with the microgrid power supply threshold, and generates a signal whether energy storage is allowed; Power supply side evaluation module: Based on the energy storage signal, obtain the mean value of the power supply change of the energy module and the power supply fluctuation value of the energy module, obtain the stability coefficient of the energy module output, evaluate the power supply stability of the target microgrid, and generate the first recommended energy storage signal; Storage side evaluation module: Based on the energy storage signal, obtain the energy module storage power change mean and energy module storage power fluctuation value, obtain the stability coefficient of the energy module input, and generate the second energy storage recommendation signal; Optimization management module: Perform cross-processing based on energy storage recommendation signals to obtain control parameters, and then adjust the current microgrid energy storage based on the control parameters.

Images