Dynamic voltage regulation and control method and system of energy storage converter

Abstract

The invention relates to the technical field of energy storage converter control, and discloses a dynamic voltage regulation and control method and system for an energy storage converter, and the system comprises a data collection module and an evaluation management module. According to the system, voltage change data and current change data are acquired through a data acquisition module and classified to form a data set, and an intelligent management module sets a monitoring period, analyzes the change trend of each phase voltage instantaneous value, generates a corresponding fluctuation data set, quickly locates a problem source, monitors the waveform of each phase voltage amplitude in real time, and generates corresponding monitoring data. The energy storage converter can adapt to power grid systems or energy storage devices of different scales, the intelligent management module analyzes deviation loss of electric energy in each conversion process and accurately evaluates the energy conversion efficiency of the energy storage converter in a rectification / inversion mode, the integration evaluation accuracy is high, the intelligent management module judges the power grid electric energy quality and harmonic distortion problems, and the energy conversion efficiency of the energy storage converter in a rectification / inversion mode is improved. And corresponding regulation and control suggestions are output, and the dynamic regulation and control response speed is high.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage converter control, and specifically to a dynamic voltage regulation method and system for an energy storage converter. Background Art

[0002] The energy storage converter is a key device in the energy storage system, responsible for realizing the bidirectional AC-DC conversion of electric energy and controlling the charging and discharging process of the energy storage battery. Through the combination of power electronics technology and energy storage technology, it ensures the precise control, optimized management, and efficient utilization of electric energy. The energy storage converter first receives DC electric energy from the energy storage system, and then converts the DC electric energy into high-frequency AC electric energy through an internal DC / AC bidirectional converter. In this process, the converter adjusts the on and off times of the switching tubes according to the instructions of the control unit to control parameters such as the voltage, frequency, and power of the output alternating current. The converted high-frequency AC electric energy is filtered through an output filter to remove high-frequency harmonic components and obtain qualified AC electric energy. This part of the AC electric energy can be directly supplied to AC loads for use, or can be supplied to other devices after voltage conversion through devices such as transformers. During the charging process, the energy storage converter converts the alternating current of the power grid into direct current through the rectification process and supplies it to the battery for charging. The charge and discharge control function of the energy storage converter performs intelligent control and management through the control unit according to the real-time demand of the power grid and the state information of the battery pack to achieve the optimized utilization of energy. With the rapid development of renewable energy and the promotion of the construction of smart grids, the energy storage converter will play a more important role in the future energy system.

[0003] Currently, when the traditional dynamic voltage regulation method of the energy storage converter faces rapid changes in the grid voltage, it often relies on manual parameter regulation, and the response speed cannot meet the requirements, resulting in the energy storage device being unable to provide or absorb electric energy in a timely manner, with low energy utilization rate and poor stability of the power system. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a dynamic voltage regulation method and system for an energy storage converter, which has the advantages of high integration evaluation accuracy, fast dynamic regulation response speed, etc., and solves the problems of high manual dependence and high response lag of the traditional dynamic voltage regulation method of the energy storage converter.

[0005] To achieve the above object, the present invention provides the following technical solution: A dynamic voltage regulation method for an energy storage converter, including the following steps:

[0006] Step 1: Connect the power grid and the energy storage converter through a network, obtain voltage change data and current change data, and classify and form a voltage data set and a current data set;

[0007] Step 2: Set a monitoring period with a fixed duration , combined with the voltage dataset, analyze the changing trend of the instantaneous voltage value of each phase and generate the corresponding fluctuation data group ;

[0008] Step 3: According to the voltage dataset, monitor the waveform of the voltage amplitude of each phase in real time and generate the corresponding monitoring data ;

[0009] Step 4: According to the current dataset, analyze the deviation loss of electric energy during each conversion process ;

[0010] Step 5: Set a fluctuation interval with a fixed range , loss interval and a nominal voltage threshold with a fixed value , and then combined with the fluctuation data group , monitoring data and deviation loss , judge whether there are problems with power quality and harmonic distortion in the power grid, and whether there is a load imbalance problem in the energy storage converter, and output the corresponding regulation suggestions.

[0011] Preferably, in the above Step 1, the expression of the voltage dataset is , to represent the voltage data at the first to the th change. The voltage data includes instantaneous phase voltage value, instantaneous phase voltage value, instantaneous phase voltage value, phase voltage amplitude, phase voltage amplitude and phase voltage amplitude. represents the time point for obtaining the voltage data.

[0012] Preferably, in the above Step 1, the expression of the current dataset is , to represent the current data at the first to the th change. The current data includes AC power, DC power, and conversion sequence. represents the time point for obtaining the current data.

[0013] Preferably, in the above Step 2, the calculation process of the fluctuation data group is as follows:

[0014] According to the voltage dataset, count the voltage change data within the monitoring period , and mark the instantaneous phase voltage value within the monitoring period as , to represent the instantaneous values of the phase voltage at the first to the th change; In the formula,

[0015]

[0016]

[0017] In the formula, represents the average value of the instantaneous phase voltage within the monitoring period, represents the instantaneous value of the phase voltage at the th change, , represents the absolute difference between the instantaneous value of the phase voltage and the average value when calculating each change in sequence,

[0018]

[0019]

[0020]

[0021]

[0022]

[0023] ;

[0020]

[0021]

[0022] In the formula, represents the average value of the amplitudes of the three-phase voltages of the power grid, represents the absolute difference between the amplitude of the phase voltage and the average value, represents the absolute difference between the amplitude of the phase voltage and the average value, represents the absolute difference between the amplitude of the phase voltage and the average value.

[0023] Preferably, in the fourth step, the deviation loss The calculation process is as follows:

[0024] According to the current data set, extract the current change data at the th time point, and mark the AC power at the th time point as , and mark the DC power at the th time point as ;

[0025] If the conversion sequence at the th time point is the rectification mode,

[0026]

[0027] In the formula, represents the power deviation loss when the energy storage converter converts AC power to DC power in the rectification mode ;

[0028] If the conversion sequence at the th time point is the inversion mode,

[0029]

[0030] In the formula, represents the power deviation loss when the energy storage converter converts DC power to AC power in the inversion mode .

[0031] Preferably, in the fifth step, for the single-phase voltage fluctuation data group when any value exceeds the fluctuation range , it indicates that the single-phase voltage fluctuation of the power grid is abnormal, there is a power quality problem, and it is recommended to activate the protection mechanism of the energy storage converter in a timely manner.

[0032] Preferably, in the fifth step, for the monitoring data when any value exceeds 10% of the nominal voltage threshold , it indicates that the voltage amplitude of the power grid is abnormal, there is a harmonic distortion problem, and it is recommended that the energy storage converter re-track the power grid phase.

[0033] Preferably, in the fifth step, when the deviation loss exceeds the loss range , it indicates that the power loss of the energy storage converter is serious, there is a load imbalance problem, and it is recommended to check the battery components of the energy storage converter in a timely manner.

[0034] A dynamic voltage regulation system for an energy storage converter, comprising a data acquisition module and an intelligent management module;

[0035] The data acquisition module consists of a power grid data unit and a converter data unit. The power grid data unit collects a voltage data set by connecting to the power grid through a network. The voltage data set includes instantaneous phase voltage values, instantaneous phase voltage values, instantaneous phase voltage values, phase voltage amplitudes, phase voltage amplitudes and phase voltage amplitudes. The converter data unit collects a current data set by connecting to an energy storage converter through a network. The current data set includes AC power, DC power, and conversion sequence;

[0036] The intelligent management module consists of a power grid evaluation unit, a conversion evaluation unit, and a regulation and management unit. The power grid evaluation unit is set with a monitoring period of a fixed duration , and then combined with the voltage data set, analyzes the change trend of the instantaneous value of each phase voltage, and generates a corresponding fluctuation data group . The power grid evaluation unit monitors the waveform of the amplitude of each phase voltage in real time according to the voltage data set, and generates corresponding monitoring data . The conversion evaluation unit analyzes the deviation loss of electric energy during each conversion process according to the current data set . The regulation and management unit is set with a fluctuation range , a loss range and a nominal voltage threshold of a fixed value . Then, combined with the fluctuation data group , the monitoring data and the deviation loss , it judges whether there are problems with power quality and harmonic distortion in the power grid, and whether there is a load imbalance problem in the energy storage converter, and outputs corresponding regulation suggestions.

[0037] Compared with the prior art, the present invention provides a dynamic voltage regulation method and system for an energy storage converter, having the following beneficial effects:

[0038] 1. The present invention connects to the power grid and the energy storage converter through a network by the data acquisition module, obtains voltage change data and current change data, and classifies and forms a voltage data set and a current data set. The intelligent management module is set with a monitoring period of a fixed duration , and then combined with the voltage data set, analyzes the change trend of the instantaneous value of each phase voltage, and generates a corresponding fluctuation data group , quickly locates the root cause of the problem, is conducive to formulating targeted regulation strategies subsequently, shortens the fault handling time. The intelligent management module monitors the waveform of the amplitude of each phase voltage in real time according to the voltage data set, and generates corresponding monitoring data , the algorithm model has high robustness and can be adapted to power grid systems or energy storage devices of different scales. The intelligent management module analyzes the deviation loss of electric energy during each conversion process based on the current dataset. , accurately evaluate the energy conversion efficiency of the energy storage converter in rectification / inversion mode, and the integration evaluation accuracy is high.

[0039] 2. The present invention sets a fixed range of fluctuation interval , loss interval and a nominal voltage threshold with a fixed value , and then combines the fluctuation data group , monitoring data and deviation loss to judge whether there are problems with power quality and harmonic distortion in the power grid, and whether there is a load imbalance problem in the energy storage converter. In the single-phase voltage fluctuation data group , when any value exceeds the fluctuation interval , it indicates that the single-phase voltage fluctuation of the power grid is abnormal and there is a power quality problem. It is recommended to start the protection mechanism of the energy storage converter in time to effectively suppress harmonic distortion and voltage sag / swell problems, thereby improving the power supply quality of the power grid. In the monitoring data , when any value exceeds 10% of the nominal voltage threshold , it indicates that the voltage amplitude of the power grid is abnormal and there is a harmonic distortion problem. It is recommended that the energy storage converter re-track the power grid phase, smooth the power fluctuation, and improve the resilience of the power grid in the scenario of high proportion of renewable energy access. When the deviation loss exceeds the loss interval , it indicates that the power loss of the energy storage converter is serious and there is a load imbalance problem. It is recommended to check the battery components of the energy storage converter in time, guide the maintenance personnel to check the battery components or adjust the operation strategy, reduce energy waste and extend the equipment life, and the dynamic regulation response speed is fast. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is the method step diagram of the present invention;

[0041] Figure 2 is the system flow chart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] Since the traditional dynamic voltage regulation method of energy storage converters often relies on manual parameter adjustment when facing rapid changes in grid voltage, the response speed cannot meet the requirements, resulting in the inability of energy storage devices to provide or absorb electrical energy in a timely manner, low energy utilization rate, and poor stability of the power system. Therefore, a dynamic voltage regulation method and system for energy storage converters are provided. Please refer to Figure 1 - Figure 2 A dynamic voltage regulation method for an energy storage converter includes the following steps:

[0044] Step 1: Connect the power grid and the energy storage converter through a network, obtain voltage change data and current change data, and classify and form a voltage data set and a current data set;

[0045] The expression of the voltage data set is , to represent the voltage data at the first to the th change. The voltage data includes the instantaneous value of the phase voltage, the instantaneous value of the phase voltage, the instantaneous value of the phase voltage, the amplitude of the phase voltage, the amplitude of the phase voltage, and the amplitude of the phase voltage. represents the time point when the voltage data is obtained;

[0046] The expression of the current data set is , to represent the current data at the first to the th change. The current data includes AC power, DC power, and the conversion sequence. represents the time point when the current data is obtained;

[0047] Step 2: Set a monitoring period with a fixed duration , and then, in combination with the voltage data set, analyze the change trend of the instantaneous value of each phase voltage and generate a corresponding fluctuation data group . The calculation process is as follows:

[0048] According to the voltage data set, count the voltage change data within the monitoring period , and mark the instantaneous value of the phase voltage within the monitoring period as , , to represent the instantaneous value of the th change of the phase voltage;

[0049]

[0050]

[0051] In the formula, represents the monitoring period within the average value of the instantaneous phase voltage, represents the th instantaneous phase voltage at the time of change, , represents calculating successively, at the time of each change, the absolute difference between the instantaneous phase voltage and the average value, represents calculating, according to the standard deviation formula, the within degree of dispersion of the instantaneous phase voltage, represents the within fluctuation data set of the phase voltage, quickly locating the root cause of the problem, which is conducive to formulating targeted regulation strategies subsequently and shortening the fault handling time;

[0052] Step 3: According to the voltage data set, monitor the waveform of the amplitude of each phase voltage in real time and generate corresponding monitoring data , and its calculation process is as follows:

[0053] According to the voltage data set, mark the amplitude of the phase voltage as , mark the amplitude of the phase voltage as , mark the amplitude of the phase voltage as ;

[0054]

[0055]

[0056] In the formula, represents the average value of the amplitudes of the three-phase voltages of the power grid, represents the absolute difference between the amplitude of the phase voltage and the average value, represents the absolute difference between the amplitude of the phase voltage and the average value, represents the absolute difference between the amplitude of the phase voltage and the average value. The algorithm model has high robustness and can be adapted to power grid systems or energy storage devices of different scales;

[0057] Step 4: Analyze the deviation loss of electric energy during each conversion process according to the current data set , and its calculation process is as follows:

[0058] According to the current dataset, extract the current change data at the -th time point, and mark the AC power at the -th time point as , and mark the DC power at the -th time point as ;

[0059] If the conversion sequence at the -th time point is the rectification mode,

[0060]

[0061] In the formula, represents the power deviation loss when the energy storage converter converts AC power to DC power in the rectification mode ;

[0062] If the conversion sequence at the -th time point is the inversion mode,

[0063]

[0064] In the formula, represents the power deviation loss when the energy storage converter converts DC power to AC power in the inversion mode , accurately evaluate the energy conversion efficiency of the energy storage converter in the rectification / inversion mode, and the integration evaluation accuracy is high;

[0065] Step Five: Set a fixed-range fluctuation interval , loss interval and a fixed-value nominal voltage threshold , and then combine the fluctuation data group , monitoring data and deviation loss to judge whether there are problems with power quality and harmonic distortion in the power grid, and whether there is a load imbalance problem in the energy storage converter, and output corresponding control suggestions;

[0066] In the single-phase voltage fluctuation data group , when any value exceeds the fluctuation interval , it indicates that the single-phase voltage fluctuation of the power grid is abnormal and there is a power quality problem. It is recommended to start the protection mechanism of the energy storage converter in time to effectively suppress harmonic distortion and voltage sag / surge problems, thereby improving the power supply quality of the power grid. In the monitoring data , when any value exceeds 10% of the nominal voltage threshold , it indicates that the voltage amplitude of the power grid is abnormal and there is a harmonic distortion problem. It is recommended that the energy storage converter re-track the power grid phase, smooth the power fluctuation, and improve the power grid resilience in the scenario of high-proportion renewable energy access. Deviation loss Beyond the loss range When it is out of the loss range, it indicates that the power loss of the energy storage converter is serious and there is a load imbalance problem. It is recommended to check the battery components of the energy storage converter in time, guide the operation and maintenance personnel to check the battery components or adjust the operation strategy to reduce energy waste and extend the equipment life. The dynamic regulation response speed is fast.

[0067] A dynamic voltage regulation system for an energy storage converter includes a data acquisition module and an intelligent management module;

[0068] The data acquisition module consists of a power grid data unit and a converter data unit. The power grid data unit collects a voltage data set by connecting to the power grid through a network. The voltage data set includes The instantaneous value of the phase voltage, The instantaneous value of the phase voltage, The instantaneous value of the phase voltage, The amplitude of the phase voltage, The amplitude of the phase voltage and The amplitude of the phase voltage. The converter data unit collects a current data set by connecting to the energy storage converter through a network. The current data set includes the AC power, DC power and conversion sequence;

[0069] The intelligent management module consists of a power grid evaluation unit, a conversion evaluation unit and a regulation management unit. The power grid evaluation unit is set with a monitoring period of a fixed duration , and then combined with the voltage data set, analyzes the change trend of the instantaneous value of each phase voltage and generates a corresponding fluctuation data group , the power grid evaluation unit monitors the waveform of the amplitude of each phase voltage in real time according to the voltage data set and generates corresponding monitoring data , the conversion evaluation unit analyzes the deviation loss of electric energy during each conversion process according to the current data set , with high integration evaluation accuracy. The regulation management unit is set with a fluctuation range , loss range and a nominal voltage threshold of a fixed value , and then combined with the fluctuation data group , monitoring data and deviation loss , determines whether there are power quality and harmonic distortion problems in the power grid, and whether there is a load imbalance problem in the energy storage converter, and outputs corresponding regulation suggestions. The dynamic regulation response speed is fast.

[0070] Example 1:

[0071] In this experiment, the monitoring period was selected Take the grid voltage data at 5 minutes as the experimental object. After detection, within 5 minutes, the instantaneous values of the phase A voltage per minute are 220V, 225V, 230V, 228V, and 227V respectively. Phase voltage fluctuation data set The calculation process is as follows:

[0072]

[0073]

[0074]

[0075]

[0076] In the formula, represents the average value of the instantaneous phase voltage within 5 minutes. V represents the instantaneous phase voltage at the th change. instantaneous phase voltage. , represents calculating the absolute difference between the instantaneous phase voltage and the average value each time when calculating successively. instantaneous phase voltage. represents calculating the degree of dispersion of the instantaneous phase voltage within 5 minutes according to the standard deviation formula, and the fluctuation range is set to 0 - 50. After judgment, in the phase voltage fluctuation data set within, the standard deviation of the instantaneous phase voltage has exceeded the fluctuation range , indicating that the single-phase voltage fluctuation of the power grid is abnormal and there are power quality problems. It is recommended to activate the protection mechanism of the energy storage converter in time.

[0077] Example 2:

[0078] In this experiment, select the current time point. The phase voltage amplitude is 10.5 kV. The phase voltage amplitude is 10.2 kV. The phase voltage amplitude is 9.8 kV of the grid voltage data as the experimental object, and the monitoring data The calculation process is as follows:

[0079]

[0080]

[0081] In the formula, represents the average value of the three-phase voltage amplitudes of the power grid. Indicates The absolute difference between the phase voltage amplitude and the average value Indicates The absolute difference between the phase voltage amplitude and the average value Indicates The absolute difference between the phase voltage amplitude and the average value, nominal voltage threshold Set to 10 kV. After judgment, the monitoring data at the current time point Among them, all values do not exceed 10% of the nominal voltage threshold It means that the grid voltage amplitude is normal, there is no harmonic distortion problem, and the energy storage converter does not need to re-track the grid phase.

[0082] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A dynamic voltage control method for an energy storage converter, characterized in that: The following steps are involved: Step 1: Connect the power grid and the energy storage converter through the network, obtain voltage change data and current change data, and classify them into voltage data set and current data set; Step 2: Set a fixed monitoring period , combined with the voltage data set, analyze the changing trend of the instantaneous value of each phase voltage and generate the corresponding fluctuation data set ; Step 3: Based on the voltage data set, monitor the waveform of each phase voltage amplitude in real time and generate corresponding monitoring data ; Step 4: Analyze the deviation loss of electric energy during each conversion process based on the current data set ; Step 5: Set a fixed range of fluctuations , loss range and a fixed value nominal voltage threshold , combined with the fluctuation data set , monitoring data and deviation loss , determine whether the power grid has power quality and harmonic distortion problems, and whether the energy storage converter has load imbalance problems, and output corresponding control suggestions.

2. The method for dynamic voltage control of an energy storage converter according to claim 1, characterized in that: In step 1, the expression of the voltage data set is: , to Indicates the first to The voltage data when the voltage changes, the voltage data includes Phase voltage instantaneous value, Phase voltage instantaneous value, Phase voltage instantaneous value, Phase voltage amplitude, Phase voltage amplitude and Phase voltage amplitude, Indicates the time point at which voltage data is obtained.

3. The method for dynamic voltage control of an energy storage converter according to claim 2, characterized in that: In step 1, the expression of the current data set is: , to Indicates the first to The current data when the current changes, including AC power, DC power and conversion sequence, Indicates the time point at which the current data is obtained.

4. The method for dynamic voltage control of an energy storage converter according to claim 3, characterized in that: In the step 2, the fluctuation data set The calculation process is as follows: According to the voltage data set, the monitoring cycle is counted The voltage change data within the monitoring cycle within The instantaneous value of the phase voltage is marked as , to Indicates the first to The time of change Phase voltage instantaneous value; In the formula, Indicates monitoring cycle Inside The average value of the instantaneous value of the phase voltage, Indicates The time of change Phase voltage instantaneous value, , It means that when calculating each change in sequence, The absolute difference between the instantaneous value and the average value of the phase voltage, Indicates that the monitoring period is calculated according to the standard deviation formula Inside The discreteness of the instantaneous value of the phase voltage, Indicates monitoring cycle Inside Phase voltage fluctuation data set.

5. The method for dynamic voltage control of an energy storage converter according to claim 4, characterized in that: In step 3, monitoring data The calculation process is as follows: According to the voltage data set, The phase voltage amplitude is marked as ,Will The phase voltage amplitude is marked as ,Will The phase voltage amplitude is marked as ; In the formula, It represents the average value of the three-phase voltage amplitude of the power grid. express The absolute difference between the phase voltage amplitude and the average value, express The absolute difference between the phase voltage amplitude and the average value, express The absolute difference between the phase voltage amplitude and the average value.

6. The method for dynamic voltage control of an energy storage converter according to claim 5, characterized in that: In step 4, the deviation loss The calculation process is as follows: According to the current data set, extract the The current change data at each time point, and the The AC power at a time point is marked as , will The DC power at a time point is marked as ; Jordi The conversion order of each time point is the rectification mode. In the formula, Indicates the power deviation loss when the energy storage converter converts AC power into DC power in rectification mode ; Jordi The conversion order of each time point is inverting mode. In the formula, Indicates the power deviation loss when the energy storage converter converts DC power into AC power in inverter mode. .

7. The method for dynamic voltage control of an energy storage converter according to claim 6, characterized in that: Step 5: Single-phase voltage fluctuation data set If any value exceeds the fluctuation range When the voltage fluctuation of the single-phase grid is abnormal, there is a problem with the power quality. It is recommended to start the protection mechanism of the energy storage converter in time.

8. The method for dynamic voltage control of an energy storage converter according to claim 7, characterized in that: Step 5: Monitoring data If any value exceeds the nominal voltage threshold When it reaches 10%, it indicates that the grid voltage amplitude is abnormal and there is a harmonic distortion problem. It is recommended that the energy storage converter re-track the grid phase.

9. The method for dynamic voltage control of an energy storage converter according to claim 8, characterized in that: Step 5: Deviation loss Exceeding the loss range When , it means that the power loss of the energy storage inverter is serious and there is a load imbalance problem. It is recommended to check the battery components of the energy storage inverter in time.

10. A dynamic voltage control system for an energy storage converter, applied to a dynamic voltage control method for an energy storage converter as claimed in any one of claims 1 to 9, characterized in that: Including data acquisition module and intelligent management module; The data acquisition module is composed of a power grid data unit and a current conversion data unit. The power grid data unit is connected to the power grid through a network to collect voltage data sets. The voltage data sets include Phase voltage instantaneous value, Phase voltage instantaneous value, Phase voltage instantaneous value, Phase voltage amplitude, Phase voltage amplitude and phase voltage amplitude, the current conversion data unit is connected to the energy storage converter via a network to collect a current data set, the current data set includes AC power, DC power and conversion sequence; The intelligent management module consists of a power grid evaluation unit, a conversion evaluation unit and a regulation management unit. The power grid evaluation unit is set with a fixed-duration monitoring cycle. , combined with the voltage data set, analyze the changing trend of the instantaneous value of each phase voltage and generate the corresponding fluctuation data set The power grid evaluation unit monitors the waveform of each phase voltage amplitude in real time according to the voltage data set and generates corresponding monitoring data The conversion evaluation unit analyzes the deviation loss of electric energy during each conversion process according to the current data set. The control management unit is set with a fixed range of fluctuations. , loss range and a fixed value nominal voltage threshold , combined with the fluctuation data set , monitoring data and deviation loss , determine whether the power grid has power quality and harmonic distortion problems, and whether the energy storage converter has load imbalance problems, and output corresponding control suggestions.

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