New energy and energy storage combined operation control method

Abstract

The application discloses a new energy and energy storage combined operation control method, and relates to the technical field of energy storage centers.The application solves the problem that traditional energy storage control methods are dependent on fixed rules or single parameter adjustment, and are difficult to cope with complex scenes such as sudden changes in new energy output and dynamic changes in energy storage state.The application can dynamically optimize operation parameters according to the real-time fluctuation state of the system, and can reduce fluctuation characteristics to the minimum, thereby significantly improving the adaptability of the energy storage system under complex working conditions.The optimization logic based on data driving avoids the limitations of fixed parameter control, so that the system is always in an efficient operation state.The application analyzes the law of the current waveform in the tracing period, locks the "relative regular section", and dynamically limits the new energy intervention value and adjusts the duty cycle based on the current characteristics, so that the accurate matching of the new energy output and the energy storage demand is realized.

Description

Technical Field

[0001] This invention relates to the field of energy storage center technology, specifically to a method for joint operation and control of new energy and energy storage. Background Technology

[0002] Against the backdrop of the global energy structure transitioning towards a low-carbon model, the large-scale grid connection of new energy sources (wind power, photovoltaics, etc.) has become the core direction of the energy revolution. However, due to the intermittent and fluctuating characteristics of their output, they pose severe challenges to the stable operation of the power grid and the efficient adaptation of energy storage systems. Traditional energy storage control methods mostly rely on fixed rules or single parameter adjustments, which are difficult to cope with complex scenarios such as sudden changes in new energy output and dynamic changes in energy storage status. This often results in problems such as low energy storage efficiency, high safety risks, and high new energy curtailment rates, which restricts the commercialization of the "new energy + energy storage" model.

[0003] To this end, the new energy and energy storage joint operation control technology proposed in this application, with refined control throughout the entire process as its core, constructs a closed-loop control system of "standard establishment - real-time monitoring - dynamic optimization - precise intervention". By mining historical data, standard thresholds for voltage and current under different power states are established, providing a benchmark for system operation. Relying on real-time monitoring and quantitative analysis of fluctuation characteristics, frequency adjustment or intervention processing signals are dynamically triggered to achieve early identification and response to abnormal risks. The technology innovatively introduces execution frequency optimization and current waveform pattern tracing techniques, using convolutional summation of periodic characteristics to evaluate and screen optimal operating parameters. Combined with the coordinated adjustment of new energy intervention value and duty cycle, this achieves a dual improvement in energy storage efficiency and new energy absorption capacity.

[0004] This technology breaks through the limitations of traditional control strategies. Through data-driven dynamic adaptive optimization and flexible adaptation of empirical parameters, it not only ensures the safe and stable operation of the energy storage system, but also maximizes the utilization value of new energy. It provides key technical support for the stable operation of high-proportion new energy power grids and promotes the transformation of "new energy + energy storage" from concept to large-scale and efficient practice. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a joint operation control method for new energy and energy storage, which solves the problem that traditional energy storage control methods rely on fixed rules or single parameter adjustments and are difficult to cope with complex scenarios such as sudden changes in new energy output and dynamic changes in energy storage status.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for joint operation and control of new energy and energy storage, comprising the following steps:

[0007] Step 1: Based on the historical data processed by the energy storage center, confirm the energy storage standards associated with the energy storage center under different power states. The specific method is as follows:

[0008] The energy storage data associated with the energy storage center under different energy storage capacity states is confirmed, and the voltage and current data are locked from the confirmed energy storage data.

[0009] And the range is confirmed from several sets of locked voltage data: the minimum value is confirmed first from several sets of voltage data, then the maximum value is confirmed, the range of voltage data is confirmed, and the confirmed range of values ​​is used as the energy storage standard for the corresponding power state.

[0010] Using the same verification method as its voltage data energy storage standard, the energy storage standard associated with its current data under the same power state is determined;

[0011] Step 2: Monitor the operational status associated with the energy storage center in real time. Based on the different energy storage standards associated with different power states, confirm the fluctuation characteristics associated with the energy storage center at the current moment. This will determine the intervention or frequency modulation processing signal. The specific method is as follows:

[0012] Define a set of monitoring cycles, which are preset cycles, and calibrate the operating parameters monitored by different parameter items within the monitoring cycles as Y. i-k , where i represents different parameter terms, and k represents different time points;

[0013] Identify its operating parameter Y i-k If it consistently falls under the associated energy storage standard, then fluctuation confirmation is performed; otherwise, an intervention signal is generated directly.

[0014] The method for confirming its fluctuations is as follows: confirm the intermediate characteristics of the corresponding energy storage standard, and identify the operating parameter Y at different times. i-k With intermediate feature Z i Characteristic differences CZ k CZ k =|Y i-k -Z i |, then associate several sets of feature differences CZ with the same set of parameter items. k Perform summation to confirm the total fluctuation value BD belonging to the corresponding parameter item. i Then, the numerical range of its parameter items corresponding to the energy storage standard is denoted as F. i ;

[0015] Identify whether a single parameter among multiple parameters within an energy storage center satisfies: BD i ≥3×F i If it exists, a frequency modulation processing signal is generated; if it does not exist, no processing signal is generated.

[0016] Step 3: Based on the frequency modulation processing signal, confirm the execution frequency associated with the energy storage center, then confirm the adjustment range based on the execution frequency, and then adjust the execution frequency according to the adjustment range. Confirm the fluctuation characteristics associated with different execution frequencies, and thus determine the optimal frequency and execute it. The specific method is as follows:

[0017] The execution frequency associated with the corresponding energy storage center is denoted as PL. Based on the confirmed PL, its adjustment range is confirmed, which is PL ± 0.3PL. From the confirmed adjustment range, frequency values ​​are selected sequentially as execution frequencies, and a monitoring cycle is run for each set of execution frequencies. The total fluctuation value associated with different parameter items within the monitoring cycle is confirmed, and the confirmed total fluctuation values ​​are convolved and summed. The sum obtained is used as the periodic feature associated with the corresponding monitoring cycle. The convolution factor is a preset value. The convolution factor associated with different parameter items is different, and the sum of several convolution factors is equal to 1.

[0018] After different execution frequencies are confirmed, there are different associated monitoring periods. The period characteristics associated with the corresponding monitoring periods are confirmed. Then, the minimum value is selected from the period characteristics associated with different monitoring periods. The monitoring period associated with the minimum value is taken as the optimal period. The execution frequency associated with the optimal period is recorded as the optimal frequency. Execution is carried out according to the confirmed optimal frequency.

[0019] Step 4: Based on the intervention processing signal, confirm a set of source tracing cycles, perform feature verification on the current waveform associated with the source tracing cycle, lock the relatively regular segment, and then limit the intervention value of new energy sources based on the current characteristics of the relatively regular segment, and simultaneously adjust the duty cycle to perform energy storage processing on the energy storage center.

[0020] The preferred method for confirming relatively regular segments is as follows:

[0021] Using the current time as the reference time, trace back from the reference time to confirm a set of traceability cycles. The traceability cycle is a preset cycle. Confirm the current values ​​associated with different times within the traceability cycle and generate the current change waveform associated with the corresponding traceability cycle.

[0022] The confirmed traceability period is denoted as T. A time range (0, 0.5T) is generated based on T. The maximum value within this time range is selected to confirm a set of regular time periods. These regular time periods are restricted to moving within the current change waveform. The associated single current waveform for each regular time period is confirmed. The initial time of all associated single current waveforms before and after the current waveforms is calibrated to time 0. Different current values ​​D1 and D2 belonging to the same time after calibration are confirmed. From the confirmed different current values, the change value is confirmed, where change value = |D1 - D2|. The variance of several change values ​​associated with this comparison process is processed to confirm the variance characteristics associated with two adjacent single current waveforms. The variance characteristics associated with several adjacent single current waveforms are then confirmed sequentially. From the confirmed variance characteristics, the minimum value is selected and used as the positional characteristic of the moving position of this regular time period. The positional characteristics associated with the regular time period at other positions are then confirmed sequentially until all positional characteristics associated with all positions are confirmed. From these positional characteristics, the minimum value is selected and denoted as TZ. min And identify the confirmed TZ min Does it meet the following criteria: TZ min If Y1 is less than or equal to 1, the processing is complete, and TZ is set to 1. min The two associated current single waveforms are recorded as relative regular segments. If they are not satisfied, other range values ​​are selected from the time range as regular time periods, and the relative regular segments are confirmed sequentially.

[0023] The detailed treatment measures for energy storage centers are as follows:

[0024] Based on the confirmed relative regularity segment, extract the next set of current single waveforms and record them as the waveform to be determined. Connect the waveform to the waveform to be determined at the end of the current current waveform segment to confirm a set of predicted waveforms. Based on the difference between the corresponding current value and the standard current in the predicted waveform, the difference value = (standard current - current value). Select the maximum value from the confirmed difference values ​​and record the selected maximum value as the value to be processed. Its standard current is the preset current.

[0025] If the value to be processed is less than 0, the intervention of new energy sources is not allowed, and the duty cycle is adjusted up in real time until the adjusted current value is consistent with the standard current.

[0026] If the value to be processed is 0, no processing is required;

[0027] If the value to be processed is greater than 0, then the value to be processed will be used as the intervention value of the new energy source, and the intervention processing will be carried out within the time line associated with the corresponding undetermined waveform. During the intervention processing, the duty cycle will be adjusted down in real time so that the adjusted current value is consistent with the standard current.

[0028] This invention provides a method for the joint operation and control of new energy sources and energy storage. Compared with existing technologies, it has the following advantages:

[0029] Based on real-time monitoring data and fluctuation characteristic analysis, this invention uses a dynamic triggering mechanism of "intervention processing signal" and "frequency modulation processing signal" to promptly identify abnormal fluctuations that exceed standards, thereby avoiding equipment damage or operational runaway caused by parameter exceeding limits and reducing safety risks in the energy storage process from the source.

[0030] By adjusting the execution frequency range and combining it with the periodic characteristic evaluation of convolution summation, the optimal execution frequency is selected from multiple frequency schemes. This allows for dynamic optimization of operating parameters based on the real-time fluctuation status of the system, minimizing fluctuation characteristics and significantly improving the adaptability of the energy storage system under complex operating conditions. This data-driven optimization logic avoids the limitations of fixed parameter control, ensuring the system is always in a highly efficient operating state. By analyzing the regularity of the current waveform within the traceability period, the "relative regularity segment" is identified, and the intervention value of new energy is dynamically limited and the duty cycle is adjusted based on current characteristics, achieving a precise match between new energy output and energy storage demand. When the value to be processed is >0, the maximum difference is used as the intervention basis, fully utilizing new energy power generation resources while ensuring that the current is consistent with the standard value through real-time adjustment of the duty cycle. When the value to be processed is <0, the stability of energy storage is ensured by increasing the duty cycle, effectively solving the impact of the intermittency and volatility of new energy on the energy storage system and improving energy utilization efficiency. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] First Embodiment

[0034] Please see Figure 1 This application provides a method for joint operation and control of new energy and energy storage, including the following steps:

[0035] Step 1: Based on the historical processing data of the energy storage center, confirm the energy storage standards associated with the energy storage center under different power states. Specifically, in the energy storage process, different power levels are associated with different voltage and current ranges. The corresponding voltage and current ranges are the normal ranges associated with the energy storage center under normal energy storage conditions. Subsequently, based on the specific value ranges, conduct subsequent new energy intervention and debugging to ensure the adjustment effect.

[0036] The specific methods for confirming energy storage standards are as follows:

[0037] The energy storage data associated with the energy storage center under different energy storage capacity states is confirmed, and the voltage and current data are locked from the confirmed energy storage data.

[0038] And the range is confirmed from several sets of locked voltage data: the minimum value is confirmed first from several sets of voltage data, then the maximum value is confirmed, the range of voltage data is confirmed, and the confirmed range of values ​​is used as the energy storage standard for the corresponding power state.

[0039] Using the same verification method as its voltage data energy storage standard, the energy storage standard associated with its current data under the same power state is determined;

[0040] Specifically, based on the energy storage standards associated with this energy storage center, the subsequent voltage and current data will be comprehensively calibrated to confirm its status.

[0041] Step 2: Monitor the operational status associated with the energy storage center in real time. Based on the different energy storage standards associated with different power states, confirm the fluctuation characteristics associated with the corresponding energy storage center at the current moment. In this way, confirm the intervention processing signal or frequency modulation processing signal. Specifically, in the process of confirming the intervention processing signal, it is necessary to confirm the fluctuation status of the corresponding energy storage center. There is an energy storage standard in the original process. When the corresponding data exceeds the corresponding standard by too much, it means that feature verification or processing is required to ensure the stable operation of the energy storage center.

[0042] The specific method for confirming the intervention processing signal or frequency modulation processing signal is as follows:

[0043] A set of monitoring cycles is defined, which are preset cycles determined in advance by operators based on experience. The operating parameters monitored within different parameter items during the monitoring cycle are calibrated as Y. i-k , where i represents different parameter terms, and k represents different time points;

[0044] Identify its operating parameter Y i-k If it consistently falls under the associated energy storage standard, then fluctuation confirmation is performed; otherwise, an intervention signal is generated directly.

[0045] The method for confirming its fluctuations is as follows: confirm the intermediate characteristics of the corresponding energy storage standard, and identify the operating parameter Y at different times. i-k With intermediate feature Z i Characteristic differences CZ k CZ k =|Y i-k -Z i |, then associate several sets of feature differences CZ with the same set of parameter items. k Perform summation to confirm the total fluctuation value BD belonging to the corresponding parameter item. i Then, the numerical range of its parameter items corresponding to the energy storage standard is denoted as F. i ;

[0046] Identify whether a single parameter among multiple parameters within an energy storage center satisfies: BD i ≥3×F i If it exists, a frequency modulation processing signal is generated; if it does not exist, no processing signal is generated.

[0047] Specifically, for the generated frequency modulation processing signal, the frequency characteristics associated with the energy storage center need to be frequency-modulated. During the frequency modulation processing, the optimal execution frequency is selected to ensure that the fluctuation characteristics associated with the corresponding energy storage center are minimized, so as to ensure that the energy storage center achieves the best operating processing effect.

[0048] Step 3: Based on the frequency modulation processing signal, confirm the execution frequency associated with the energy storage center, then confirm the adjustment range based on the execution frequency, and then adjust the execution frequency based on the adjustment range. Confirm the fluctuation characteristics associated with different execution frequencies, thereby confirming the optimal frequency and executing it. Specifically, after the optimal frequency is confirmed, it can ensure that the corresponding energy storage center reaches the optimal operating state during subsequent execution, so that the state of the band associated with the corresponding energy storage center reaches the lowest state.

[0049] The specific method for confirming the optimal frequency is as follows:

[0050] The execution frequency associated with the corresponding energy storage center is denoted as PL. Based on the confirmed PL, its adjustment range is confirmed, which is PL ± 0.3PL (that is, fluctuation within one-third of the range). From the confirmed adjustment range, frequency values ​​are selected sequentially as execution frequencies, and a monitoring cycle is run for each set of execution frequencies. The total fluctuation value associated with different parameter items within the monitoring cycle is confirmed, and the confirmed total fluctuation values ​​are convolved and summed. The sum obtained is used as the periodic feature associated with the corresponding monitoring cycle. The convolution factors are all preset values, determined by the operator based on experience. The convolution factors associated with different parameter items are all different, and the sum of several sets of convolution factors equals 1. It is determined that there are three sets of parameter items, namely A, B, and C, which correspond to three sets of convolution factors J1, J2, and J3. After summing the three sets of convolution factors, the sum obtained is equal to 1. The periodic feature is adopted as: A × J1 + B × J2 + C × J3.

[0051] After different execution frequencies are confirmed, there are different associated monitoring cycles. The cycle characteristics associated with the corresponding monitoring cycles are confirmed. Then, the minimum value is selected from the cycle characteristics associated with different monitoring cycles. The monitoring cycle associated with the minimum value is taken as the optimal cycle. The execution frequency associated with the optimal cycle is recorded as the optimal frequency. Execution is carried out according to the confirmed optimal frequency to ensure the normal operation of the energy storage center.

[0052] Step 4: Based on the intervention processing signal, confirm a set of source tracing cycles, perform feature verification on the current waveform associated with the source tracing cycle, lock the relatively regular segment, and then limit the intervention value of new energy sources based on the current characteristics of the relatively regular segment, and simultaneously adjust the duty cycle to perform energy storage processing on the energy storage center.

[0053] The specific method for confirming relatively regular segments is as follows:

[0054] Using the current time as the reference time, trace back from the reference time to confirm a set of traceability cycles. The traceability cycle is a preset cycle, which is determined in advance by the operator based on experience. It is generally set to 10 minutes. Confirm the current values ​​associated with different times within the traceability cycle and generate the current change waveform associated with the corresponding traceability cycle.

[0055] The confirmed traceability period is denoted as T. A time range (0, 0.5T) is generated based on T. The maximum value within this time range is selected to confirm a set of regular time periods (i.e., a set of time values ​​is randomly selected from the corresponding time range as the time range for the corresponding time period). The regular time periods are restricted from moving within the current change waveform. The associated single current waveform for each regular time period is confirmed. The initial time associated with the current single waveforms before and after each period is calibrated to time 0. Different current values ​​D1 and D2 belonging to the same time after calibration are confirmed. From the confirmed different current values, the... The change value is defined as |D1-D2|. Variance processing is performed on several change values ​​associated with this comparison process to confirm the variance characteristics associated with two adjacent current waveforms. Then, the variance characteristics associated with several adjacent current waveforms are confirmed sequentially. From the confirmed variance characteristics, the minimum value is selected and used as the positional characteristic of the movement location within this time period. The positional characteristics associated with other locations within the time period are then confirmed sequentially until all positional characteristics are confirmed. From these positional characteristics, the minimum value is selected and denoted as TZ. min And identify the confirmed TZ min Does it meet the following criteria: TZ min If Y1 is less than or equal to 1, the processing is complete, and TZ is set to 1. min The two associated current single waveforms are recorded as relative regular segments. If they are not satisfied, other range values ​​are selected from the time range as regular time periods, and the relative regular segments are confirmed in turn. The smaller the time range, the more relative regular segments can be confirmed, thus achieving the best confirmation process, facilitating feature adjustment and verification, and ensuring the stable energy storage process of the energy storage center.

[0056] Specifically, the time length associated with the current waveform is set to 0-10 minutes, and the selected time range is 3 minutes. This time range is then moved within the current waveform to identify the different single current waveforms associated with different time value segments. Waveform verification is performed on the associated single current waveforms before and after, and the numerical differences between the corresponding current values ​​of the single current waveforms are identified, that is, the corresponding changes. Then, the corresponding variance processing process is completed to achieve the variance characteristics associated with the corresponding moving process. If the relative regular segment cannot be locked after confirming certain positional features before and after, the selected time range is readjusted.

[0057] The corresponding time range is shortened to 2 minutes, and another set of processing processes is executed. This process is repeated, and the time range value can not only be confirmed to change within the confirmed time range, but can also be moved back and forth on the corresponding time line to ensure the movement features associated with the movement process, thereby achieving the best feature verification processing result.

[0058] The detailed treatment measures for energy storage at the energy storage center are as follows:

[0059] Based on the confirmed relative regularity segment, the next set of current single waveforms is extracted and recorded as the waveform to be determined. The waveform to be determined is connected at the end of the current current waveform segment to confirm a set of predicted waveforms. Based on the difference between the corresponding current value in the predicted waveform and the standard current, the difference value is (standard current - current value). From the confirmed difference values, the maximum value is selected and recorded as the value to be processed. The standard current is the preset current, which is determined in advance by the operator based on experience.

[0060] If the value to be processed is less than 0, the intervention of new energy sources is not allowed, and the duty cycle is adjusted up in real time until the adjusted current value is consistent with the standard current.

[0061] If the value to be processed is 0, no processing is required;

[0062] If the value to be processed is greater than 0, then the value to be processed is used as the intervention value of the new energy source, and intervention processing is carried out within the time line associated with the corresponding undetermined waveform. During the intervention processing, the duty cycle is adjusted down in real time to make the adjusted current value consistent with the standard current. Specifically, when the intervention current value is too large, the duty cycle needs to be adjusted down in real time. During the adjustment process, the operating current is consistent with the standard current required by the corresponding energy storage center to achieve the optimal operating state, fully reduce the operating burden, not only make full use of new energy sources, but also ensure the operating environment of the energy storage center.

[0063] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0064] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A method for joint operation and control of new energy and energy storage, characterized in that, Includes the following steps: Based on the historical data processed by the energy storage center, the associated energy storage standards for the energy storage center under different power states are confirmed. The operational status associated with the energy storage center is monitored in real time. Based on the different energy storage standards associated with different power states, the fluctuation characteristics associated with the energy storage center at the current moment are confirmed. This is used to determine the intervention processing signal or frequency modulation processing signal. The confirmation method for the intervention processing signal is as follows: Define a set of monitoring cycles, which are preset cycles, and calibrate the operating parameters monitored by different parameter items within the monitoring cycles as Y. i-k , where i represents different parameter terms, and k represents different time points; Identify its operating parameter Y i-k If it consistently falls under the associated energy storage standard, then fluctuation confirmation is performed; otherwise, an intervention signal is generated directly. Based on the frequency modulation processing signal, the adjustment range of the execution frequency associated with the energy storage center is confirmed. Then, the execution frequency is adjusted according to the adjustment range. The fluctuation characteristics associated with different execution frequencies are confirmed, thereby determining the optimal frequency and executing it. Based on the intervention processing signal, a set of source tracing cycles is identified. The current waveform associated with the source tracing cycle is verified for characteristics, and the relatively regular segment is locked. Then, based on the current characteristics of the relatively regular segment, the intervention value of new energy is limited, and the duty cycle is adjusted synchronously.

2. The method for joint operation and control of new energy and energy storage according to claim 1, characterized in that, The specific method for confirming the energy storage standards associated with energy storage centers under different power states is as follows: The energy storage data associated with the energy storage center under different energy storage capacity states is confirmed, and the voltage and current data are locked from the confirmed energy storage data. And the range is confirmed from several sets of locked voltage data: the minimum value is confirmed first from several sets of voltage data, then the maximum value is confirmed, the range of voltage data is confirmed, and the confirmed range of values ​​is used as the energy storage standard for the corresponding power state. Using the same verification method as its voltage data energy storage standard, the energy storage standard associated with its current data under the same power state is determined.

3. The method for joint operation and control of new energy and energy storage according to claim 2, characterized in that, The confirmation method for the frequency modulation processing signal is as follows: Identify the intermediate characteristics of the corresponding energy storage standard and recognize the operating parameter Y at different times. i-k With intermediate feature Z i Characteristic differences CZ k CZ k =|Y i-k -Z i |, then associate several sets of feature differences CZ with the same set of parameter items. k Perform summation to confirm the total fluctuation value BD belonging to the corresponding parameter item. i Then, the numerical range of its parameter items corresponding to the energy storage standard is denoted as F. i ; Identify whether a single parameter among multiple parameters within an energy storage center satisfies: BD i ≥3×F i If it exists, a frequency modulation processing signal is generated; if it does not exist, no processing signal is generated.

4. The method for joint operation and control of new energy and energy storage according to claim 1, characterized in that, The specific method for confirming the optimal frequency is as follows: The execution frequency associated with the corresponding energy storage center is denoted as PL. Based on the confirmed PL, its adjustment range is confirmed, which is PL ± 0.3PL. From the confirmed adjustment range, frequency values ​​are selected sequentially as execution frequencies, and a monitoring cycle is run for each set of execution frequencies. The total fluctuation value associated with different parameter items within the monitoring cycle is confirmed, and the confirmed total fluctuation values ​​are convolved and summed. The sum obtained is used as the periodic feature associated with the corresponding monitoring cycle. The convolution factor is a preset value. The convolution factor associated with different parameter items is different, and the sum of several convolution factors is equal to 1. After different execution frequencies are confirmed, there are different associated monitoring periods. The period characteristics associated with the corresponding monitoring periods are confirmed. Then, the minimum value is selected from the period characteristics associated with different monitoring periods. The monitoring period associated with the minimum value is taken as the optimal period. The execution frequency associated with the optimal period is recorded as the optimal frequency. Execution is carried out according to the confirmed optimal frequency.

5. The method for joint operation and control of new energy and energy storage according to claim 1, characterized in that, The specific method for locking the relative regular segments is as follows: Using the current time as the reference time, trace back from the reference time to confirm a set of traceability cycles. The traceability cycle is a preset cycle. Confirm the current values ​​associated with different times within the traceability cycle and generate the current change waveform associated with the corresponding traceability cycle. The confirmed traceability period is denoted as T. A time range (0, 0.5T) is generated based on T. Time values ​​within this range are selected to confirm a set of regular time periods, restricting their movement within the current change waveform. The associated single current waveform for each regular time period is confirmed. The initial time of all associated single current waveforms before and after the current waveforms is calibrated to time 0. Different current values ​​D1 and D2 belonging to the same time after calibration are confirmed. From the confirmed different current values, the change value is confirmed, where change value = |D1 - D2|. The variance of several change values ​​associated with this comparison process is processed to confirm the variance characteristics associated with two adjacent single current waveforms. The variance characteristics associated with several adjacent single current waveforms are then confirmed sequentially. From the confirmed variance characteristics, the minimum value is selected and used as the positional characteristic of the movement position of this regular time period. The positional characteristics associated with the regular time period at other positions are then confirmed sequentially until all positional characteristics are confirmed. From these positional characteristics, the minimum value is selected and denoted as TZ. min And identify the confirmed TZ min Does it meet the following criteria: TZ min If Y1 is less than or equal to 1, the processing is complete, and TZ is set to 1. min The two associated current single waveforms are recorded as relative regular segments. If they are not satisfied, other range values ​​are selected from the time range as regular time periods, and the relative regular segments are confirmed sequentially.

6. The method for joint operation and control of new energy and energy storage according to claim 5, characterized in that, The specific method for energy storage processing at the energy storage center is as follows: Based on the confirmed relative regularity segment, extract the next set of current single waveforms and record them as the waveform to be determined. Connect the waveform to the waveform to be determined at the end of the current current waveform segment to confirm a set of predicted waveforms. Based on the difference between the corresponding current value and the standard current in the predicted waveform, the difference value = (standard current - current value). Select the maximum value from the confirmed difference values ​​and record the selected maximum value as the value to be processed. Its standard current is the preset current. If the value to be processed is less than 0, the intervention of new energy sources is not allowed, and the duty cycle is adjusted up in real time until the adjusted current value is consistent with the standard current. If the value to be processed is 0, no processing is required.

7. The method for joint operation and control of new energy and energy storage according to claim 6, characterized in that, If the value to be processed is greater than 0, then the value to be processed will be used as the intervention value of the new energy source, and the intervention processing will be carried out within the time line associated with the corresponding undetermined waveform. During the intervention processing, the duty cycle will be adjusted down in real time so that the adjusted current value is consistent with the standard current.

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