Converter power optimization distribution method and system

Abstract

The invention relates to the technical field of power distribution, and discloses a converter power optimization distribution method and system, which comprises a data acquisition unit, a central processing unit and a control output unit.The converter power optimization distribution system measures converter efficiency parameters in real time, distributes power to efficient converters during power adjustment, reduces energy waste, and improves the efficiency of the converter. The data acquisition unit comprehensively collects key data, the central processing unit carries out multi-step accurate calculation, the converter power distribution coefficient comprehensively considers multiple factors, it is ensured that power is reasonably distributed to all converters, the rated power of a distribution transformer and the safety margin coefficient are considered to avoid overload, and the alternating current side load is monitored and predicted in real time to respond to changes. Meanwhile, the delay time of the control signal of the energy management system is considered, so that the system is more stable and is suitable for alternating-current and direct-current networking systems of different scales, and parameters can be flexibly adjusted. And finally, the method is easy to implement and maintain, adopts common equipment to collect data, and is clear in architecture and clear in function.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution, and in particular to a method and system for optimizing power distribution of a converter. Background Art

[0002] With the continuous growth of energy demand and higher requirements for energy efficiency, AC / DC networking systems are playing an increasingly important role in the power sector. In AC / DC networking systems, converters, as key equipment, are responsible for the conversion between AC and DC. The rationality of their power distribution directly affects the stability, reliability and efficiency of the system.

[0003] Traditional converter power allocation methods may have some shortcomings, such as the inability to accurately adjust in real time according to system load changes, which can easily lead to overload of some converters and underutilization of other converters. At the same time, in complex AC / DC networking systems, factors such as real-time power changes of AC side loads, rated power limits of distribution transformers, and control signal delays of energy management systems need to be considered to achieve more optimized power allocation.

[0004] In order to improve the overall performance of AC / DC networking systems and meet the growing energy demand and the requirement for efficient energy utilization, a more advanced converter power optimization allocation method and system is needed. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for optimizing power distribution of a converter, which solves the technical problems raised in the background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A converter power optimization distribution system, comprising:

[0008] A data acquisition unit is used to collect data characteristics corresponding to the real-time power of the load on the AC side of the AC / DC networking system, the input power and output power of the converter, the rated power of the distribution transformer, the control signal delay time of the energy management system, and the efficiency parameters of the converter;

[0009] The central processing unit, the user analyzes and calculates the data characteristics collected from the AC / DC networking system, and determines the final power adjustment value of each converter, and then sends the calculated final power adjustment value of each converter to the control output unit;

[0010] The control output unit is used to send the final power adjustment value of each converter to each converter respectively, so as to achieve optimal power distribution.

[0011] As a further solution of the present invention: wherein, the real-time power of the load on the AC side is measured by a smart meter in real time to measure the current and voltage of the load on the AC side, and the real-time power of the load on the AC side is obtained by calculation;

[0012] The output power of the converter is measured by the sensor inside the converter in real time to measure the output current and voltage of the converter, and the output power of the converter is obtained by calculation;

[0013] The rated power of the distribution transformer is obtained from the nameplate or technical data of the distribution transformer;

[0014] The control signal delay time of the energy management system is obtained by measuring the time difference between the energy management system sending the control signal and the converter actually responding.

[0015] The efficiency parameters of the converter are obtained by actually measuring the input active power of the converter and its corresponding output active power, and the corresponding efficiency parameters are obtained by calculation.

[0016] As a further solution of the present invention: the efficiency parameter of the converter is calculated as follows:

[0017] g i =(P 输出 / P 输入 )×100%;

[0018] In the formula, g i represents the efficiency parameter corresponding to each converter, i = 1, 2, ... n, n represents the number of converters, P 输出 is the output active power, P 输入 is the input active power.

[0019] As a further solution of the present invention: the analysis and calculation method of the central processing unit is as follows:

[0020] Step 1: Calculate power deviation

[0021] Extract the real-time load power on the AC side and the output power of the converter;

[0022] Calculate the difference between the real-time power of the load on the AC side and the output power of the converter, and record it as the power deviation;

[0023] If the value of the power deviation is positive, it means that the load demand is greater than the output power of the converter;

[0024] If the value of the power deviation is negative, it means that the output power of the converter is greater than the load demand;

[0025] Step 2: Calculation of load change rate

[0026] At multiple time nodes in a specified period, obtain the real-time power of the load on the AC side corresponding to each time node;

[0027] Then, the difference of the real-time power of the load at two adjacent time nodes is calculated, and then the ratio of the difference to the time interval corresponding to the two adjacent time nodes is calculated;

[0028] Similarly, the ratios corresponding to all two adjacent time nodes are obtained, and then the average value of the ratios is calculated, and finally the average value of the ratios is marked as the load change rate on the AC side;

[0029] Step 3: Calculate the predicted power of AC side load

[0030] Extract the real-time power of the AC side load, the control signal delay time of the energy management system, and the load change rate of the AC side, and mark them as P SS 、T YC and B FH ;

[0031] Then through P YC =P SS ×(1+T YC ×B FH ), calculate the load forecast power P on the AC side YC ;

[0032] Step 4: Determine the power adjustment target

[0033] Extract the power rating of the distribution transformer and mark it as P BYE , and extract the load forecast power P on the AC side YC ;

[0034] By P TZ =P BYE ×KP YC , calculate the maximum output power P after the converter is adjusted TZ

[0035] In the formula, K is the preset safety margin coefficient corresponding to the distribution transformer. The safety margin coefficient is a parameter introduced to avoid overload of the distribution transformer. It makes the actual operating power of the distribution transformer have a certain difference with the rated power of the equipment during normal operation. This difference is the safety margin.

[0036] Step 5: Calculation of converter power pre-adjustment

[0037] Extract the current output power of the converter and mark it as P DQ , and extract the maximum output power P after the converter is adjusted TZ ;

[0038] By PYT =P TZ -P DQ , calculate the power pre-adjustment of the converter;

[0039] Step 6: Correction and determination of converter power adjustment

[0040] Extract the current input power and output power of the converter, and then calculate the current efficiency parameter g0 of the converter;

[0041] Extract the power pre-adjustment P of the converter YT , extract the efficiency parameters g of multiple converters at the same time i ;

[0042] Then through Calculate the power adjustment P of the converter T0 ;

[0043] In the formula, g i represents the efficiency parameter corresponding to each converter, i=1, 2, ... n, where n represents the number of converters;

[0044] Step 7: Calculation of converter power distribution coefficient

[0045] Obtain the power adjustment of all converters, then calculate the sum of the power adjustment of the converters and mark it as the total power adjustment P ZZ ;

[0046] Select a converter and extract its power adjustment value P T0 and its current efficiency parameter g0;

[0047] Then through Calculate the power distribution coefficient α of the converter; where β1 and β2 are corresponding preset weight coefficients respectively;

[0048] Similarly, the power distribution coefficient of each converter is calculated and marked as α i ;

[0049] Step 8: Converter power adjustment allocation

[0050] Extract the power allocation coefficient of each converter and mark it as α i ;

[0051] Then through P0 i =α i ×P ZZ , calculate the final power adjustment value P0 of each converter i .

[0052] A method for optimizing power distribution of a converter, which is implemented by the above-mentioned system for optimizing power distribution of a converter, and comprises the following steps:

[0053] Step 1: Data Collection

[0054] The data acquisition unit is used to collect data characteristics corresponding to the real-time power of the load on the AC side of the AC / DC networking system, the input power and output power of the converter, the rated power of the distribution transformer, the control signal delay time of the energy management system, and the efficiency parameters of the converter;

[0055] Step 2: Analysis and calculation

[0056] The central processing unit performs analysis and calculation based on the collected data characteristics, as follows:

[0057] Step 1: Extract the real-time power of the load on the AC side and the output power of the converter, and calculate the difference between the real-time power of the load on the AC side and the output power of the converter, which is recorded as the power deviation;

[0058] Step 2: Obtain the real-time load power on the AC side corresponding to each time node at multiple time nodes in the specified period, calculate the ratio of the difference between the real-time load power at two adjacent time nodes and the time interval corresponding to the two adjacent time nodes, obtain the ratios corresponding to all two adjacent time nodes and calculate their average value, which is marked as the load change rate on the AC side;

[0059] Step 3: Calculate the predicted load power on the AC side based on the real-time load power on the AC side, the control signal delay time of the energy management system, and the load change rate on the AC side;

[0060] Step 4: multiply the rated power of the distribution transformer by the preset safety margin factor corresponding to the distribution transformer, and then subtract the load forecast power on the AC side to obtain the maximum output power of the converter after adjustment;

[0061] Step 5: Subtract the current output power of the converter from the adjusted maximum output power of the converter to obtain the power pre-adjustment of the converter;

[0062] Step 6: extract the current input power and output power of the converter, calculate the current efficiency parameter of the converter, and extract the efficiency parameters of multiple converters collected by the data acquisition unit at the same time, substitute the power pre-adjustment of the converter, the current efficiency parameter of the converter, and the efficiency parameters of multiple converters into the preset adjustment correction formula to calculate the power adjustment of the converter;

[0063] Step 7: Obtain the power adjustment of all converters, calculate the sum of the power adjustment of the converters and mark it as the total power adjustment, obtain the efficiency parameters collected by the data acquisition unit for multiple converters, calculate the sum of their efficiency parameters and mark it as the total efficiency parameter, then calculate the ratio of the power adjustment of each converter to the total power adjustment, and calculate the ratio of the current efficiency parameter of each converter to the total efficiency parameter, then combine the two ratios obtained with the preset weight coefficient, and calculate the power allocation coefficient of the converter through the power allocation coefficient calculation formula of the converter;

[0064] Step 8: Extract the power allocation coefficient of each converter, multiply it by the total power adjustment, and obtain the final power adjustment value of each converter;

[0065] Step 3: Output Control

[0066] The control output unit sends the final power adjustment value of each converter to each converter respectively.

[0067] Beneficial effects of the present invention:

[0068] The present invention can accurately understand the working efficiency of the converter under different working conditions by measuring and calculating the efficiency parameters of the converter in real time. In the process of power adjustment, considering the efficiency factor of the converter, the power can be allocated to the converter with higher efficiency, thereby improving the energy utilization efficiency of the whole system; the data acquisition unit comprehensively collects various key data characteristics in the AC / DC networking system, including the real-time power of the AC side load, the input and output power of the converter, the rated power of the distribution transformer, etc., providing an accurate data basis for accurate power allocation; the central processing unit adopts a multi-step analysis and calculation method, from calculating the power deviation to the load change rate, and then to the AC side load predicted power, power adjustment target, etc., to gradually refine and accurately the direction and amplitude of power adjustment.

[0069] In the present invention, the calculation of the converter power distribution coefficient comprehensively considers the power adjustment amount and efficiency parameters of each converter, as well as the preset weight coefficient, and can more reasonably distribute the total adjustment power to each converter to achieve accurate power distribution.

[0070] The present invention considers the rated power and safety margin coefficient of the distribution transformer, and avoids overload of the distribution transformer by calculating the maximum output power of the converter after adjustment, thereby ensuring the stable operation of the system; the AC side load is monitored and predicted in real time, and it can respond to load changes in time and adjust the output power of the converter to keep the system in a relatively stable operating state; the energy management system takes into account the delay time of the control signal, so that the power adjustment can be more accurately matched with the actual system response, reducing the system instability factors caused by the delay.

[0071] The present invention, the method and the system can be applied to AC and DC networking systems of different scales and types, and have strong versatility and adaptability; according to the needs of the actual system, parameters such as preset weight coefficients and safety margin coefficients can be flexibly adjusted to meet different operating requirements.

[0072] The present invention uses common devices such as smart meters and internal sensors of converters to collect data, which is easy to implement and deploy; the system architecture is clear, the functions of each unit are clear, and maintenance and troubleshooting are convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] The present invention will be further described below in conjunction with the accompanying drawings.

[0074] Figure 1 The system block diagram of a converter power optimization distribution system of the present invention.

[0075] Figure 2 It is a module flow chart of a central processing unit in a converter power optimization distribution system of the present invention. Figure 3 It is a flow chart of a method for optimizing power distribution of a converter according to the present invention. DETAILED DESCRIPTION

[0076] 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.

[0077] Embodiment 1

[0078] See also Figure 1 and Figure 2 As shown, the present invention is a converter power optimization distribution system, comprising the following steps:

[0079] A data acquisition unit is used to collect data characteristics corresponding to the real-time power of the load on the AC side of the AC / DC networking system, the input power and output power of the converter, the rated power of the distribution transformer, the control signal delay time of the energy management system, and the efficiency parameters of the converter;

[0080] In this embodiment, the data acquisition unit may be a sensor, a data acquisition card or other device, connected to each device in the system by wire or wireless means, to collect data in real time and transmit it to the central processing unit;

[0081] In this embodiment, the real-time power of the load on the AC side can be obtained by using a smart meter, a power sensor and other equipment to measure the current and voltage of the load on the AC side in real time, and the real-time power of the load on the AC side can be obtained by calculation;

[0082] The output power of the converter can be obtained by measuring the output current and voltage of the converter in real time through sensors or monitoring equipment inside the converter, and calculating the output power of the converter;

[0083] The rated power of the distribution transformer can be obtained from the nameplate or technical data of the distribution transformer.

[0084] The control signal delay time of the energy management system can be obtained by measuring the time difference between the energy management system sending the control signal and the converter actually responding;

[0085] The efficiency parameters of the converter are obtained by actually measuring the input active power of the converter and its corresponding output active power, and the corresponding efficiency parameters are obtained by calculation;

[0086] In this embodiment, the efficiency parameter of the converter is determined by collecting the input active power of the converter and the corresponding output active power thereof, and then calculating the ratio of the output active power to the input active power to determine the efficiency parameter of the converter;

[0087] Specifically: g i =(P 输出 / P 输入 )×100%;

[0088] In the formula, g i represents the efficiency parameter corresponding to each converter, i = 1, 2, ... n, n represents the number of converters, P 输出 is the output active power, P 输入 is the input active power;

[0089] The central processing unit, the user analyzes and calculates the data characteristics collected from the AC / DC networking system, and determines the final power adjustment value of each converter, and then sends the calculated final power adjustment value of each converter to the control output unit;

[0090] In this embodiment, the central processing unit may be a microprocessor, a digital signal processor or other device, and the calculation process of the corresponding algorithm may be implemented through programming;

[0091] The analysis and calculation method is as follows:

[0092] SS1, load change rate calculation

[0093] At multiple time nodes in a specified period, obtain the real-time power of the load on the AC side corresponding to each time node;

[0094] Then, the difference of the real-time power of the load at two adjacent time nodes is calculated, and then the ratio of the difference to the time interval corresponding to the two adjacent time nodes is calculated;

[0095] Similarly, the ratios corresponding to all two adjacent time nodes are obtained, and then the average value of the ratios is calculated, and finally the average value of the ratios is marked as the load change rate on the AC side;

[0096] SS2, AC side load prediction power calculation

[0097] Extract the real-time power of the AC side load, the control signal delay time of the energy management system, and the load change rate of the AC side, and mark them as P SS 、T YC and B FH ;

[0098] Then through P YC =P SS ×(1+T YC ×B FH ), calculate the load forecast power P on the AC side YC ;

[0099] SS3. Determine power adjustment target

[0100] Extract the power rating of the distribution transformer and mark it as P BYE , and extract the load forecast power P on the AC side YC ;

[0101] By P TZ =P BYE ×KP YC , calculate the maximum output power P after the converter is adjusted TZ

[0102] In the formula, K is the preset safety margin coefficient corresponding to the distribution transformer. The safety margin coefficient is a parameter introduced to avoid overload of the distribution transformer. It makes the actual operating power of the distribution transformer have a certain difference with the rated power of the equipment during normal operation. This difference is the safety margin.

[0103] SS4, Converter power pre-adjustment calculation

[0104] Extract the current output power of the converter and mark it as P DQ , and extract the maximum output power P after the converter is adjusted TZ ;

[0105] By PYT =P TZ -P DQ , calculate the power pre-adjustment of the converter;

[0106] SS5, inverter power adjustment correction determination

[0107] Extract the current input power and output power of the converter, and then calculate the current efficiency parameter g0 of the converter;

[0108] Extract the power pre-adjustment P of the converter YT , extract the efficiency parameters g of multiple converters at the same time i ;

[0109] Then through Calculate the power adjustment P of the converter T0 ;

[0110] SS6, Converter Power Distribution Coefficient Calculation

[0111] Obtain the power adjustment of all converters, then calculate the sum of the power adjustment of the converters and mark it as the total power adjustment P ZZ ;

[0112] Select a converter and extract its power adjustment value P T0 and its current efficiency parameter g0;

[0113] Then through Calculate the power distribution coefficient α of the converter; where β1 and β2 are corresponding preset weight coefficients respectively;

[0114] Similarly, the power distribution coefficient of each converter is calculated and marked as α i ;

[0115] SS7, Converter Power Adjustment Distribution

[0116] Extract the power allocation coefficient of each converter and mark it as α i ;

[0117] Then through P0 i =α i ×P ZZ , calculate the final power adjustment value P0 of each converter i ;

[0118] The control output unit is used to send the final power adjustment value of each converter to each converter respectively, so as to achieve optimal power distribution.

[0119] This embodiment can accurately collect multiple key data features in the AC / DC networking system, and provide comprehensive data support for power optimization allocation. Through the analysis and calculation of the central processing unit, the final power adjustment value of each converter can be accurately determined, the optimal power allocation can be achieved, and the stability and efficiency of the system can be improved; the calculation of the load change rate takes into account the real-time power of the load at multiple time nodes, making the load prediction more accurate; the calculation of the AC side load prediction power comprehensively considers the real-time power of the AC side load, the control signal delay time of the energy management system and the load change rate, improving the prediction accuracy; when determining the power adjustment target, the rated power and safety margin coefficient of the distribution transformer are introduced to effectively avoid overloading the distribution transformer and improve the safety of the system; the correction determination of the converter power adjustment amount takes into account the current efficiency parameters of the converter, making the adjustment more reasonable; the calculation of the converter power allocation coefficient and the power adjustment amount allocation can be reasonably allocated according to the situation of each converter to achieve optimal power configuration.

[0120] Embodiment 2

[0121] As the second embodiment of the present invention, when the present application is specifically implemented, compared with the first embodiment, the technical solution of this embodiment is different from that of the first embodiment only in that in this embodiment, the central processing unit is also used to calculate the power deviation of each converter;

[0122] Extract the real-time load power on the AC side and the output power of the converter;

[0123] Calculate the difference between the real-time power of the load on the AC side and the output power of the converter, and record it as the power deviation;

[0124] In this embodiment, the power deviation reflects the degree of power imbalance in the system;

[0125] If the power deviation is positive, it means that the load demand in the system is greater than the output power of the converter, which may cause the system voltage to drop;

[0126] If the power deviation is negative, it means that the output power of the converter in the system is greater than the load demand, which may cause the system voltage to rise.

[0127] This embodiment can intuitively reflect the degree of power imbalance in the system by calculating the power deviation of each converter; according to the positive or negative situation of the power deviation, it can timely judge the possible voltage drop or increase in the system, and provide early warning for the stable operation of the system.

[0128] Embodiment 3

[0129] As the third embodiment of the present invention, when the present application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments mentioned above for implementation.

[0130] This embodiment combines the solutions of the first embodiment and the second embodiment, which not only realizes the optimal distribution of the converter power, but also can accurately monitor the degree of power imbalance in the system, providing more comprehensive protection for the stable operation of the system.

[0131] The present invention also provides a method for optimizing power distribution of a converter, which is implemented by the above-mentioned system for optimizing power distribution of a converter, and comprises the following steps:

[0132] Step 1: Data Collection

[0133] The data acquisition unit is used to collect data characteristics corresponding to the real-time power of the load on the AC side of the AC / DC networking system, the input power and output power of the converter, the rated power of the distribution transformer, the control signal delay time of the energy management system, and the efficiency parameters of the converter;

[0134] Step 2: Analysis and calculation

[0135] The central processing unit performs analysis and calculation based on the collected data characteristics, as follows:

[0136] Step 1: Extract the real-time power of the load on the AC side and the output power of the converter, and calculate the difference between the real-time power of the load on the AC side and the output power of the converter, which is recorded as the power deviation;

[0137] Step 2: Obtain the real-time load power on the AC side corresponding to each time node at multiple time nodes in the specified period, calculate the ratio of the difference between the real-time load power at two adjacent time nodes and the time interval corresponding to the two adjacent time nodes, obtain the ratios corresponding to all two adjacent time nodes and calculate their average value, which is marked as the load change rate on the AC side;

[0138] Step 3: Calculate the predicted load power on the AC side based on the real-time load power on the AC side, the control signal delay time of the energy management system, and the load change rate on the AC side;

[0139] Step 4: multiply the rated power of the distribution transformer by the preset safety margin factor corresponding to the distribution transformer, and then subtract the load forecast power on the AC side to obtain the maximum output power of the converter after adjustment;

[0140] Step 5: Subtract the current output power of the converter from the adjusted maximum output power of the converter to obtain the power pre-adjustment of the converter;

[0141] Step 6: extract the current input power and output power of the converter, calculate the current efficiency parameter of the converter, and extract the efficiency parameters of multiple converters collected by the data acquisition unit at the same time, substitute the power pre-adjustment of the converter, the current efficiency parameter of the converter, and the efficiency parameters of multiple converters into the preset adjustment correction formula to calculate the power adjustment of the converter;

[0142] Step 7: Obtain the power adjustment of all converters, calculate the sum of the power adjustment of the converters and mark it as the total power adjustment, obtain the efficiency parameters collected by the data acquisition unit for multiple converters, calculate the sum of their efficiency parameters and mark it as the total efficiency parameter, then calculate the ratio of the power adjustment of each converter to the total power adjustment, and calculate the ratio of the current efficiency parameter of each converter to the total efficiency parameter, then combine the two ratios obtained with the preset weight coefficient, and calculate the power allocation coefficient of the converter through the power allocation coefficient calculation formula of the converter;

[0143] Step 8: Extract the power allocation coefficient of each converter, multiply it by the total power adjustment, and obtain the final power adjustment value of each converter;

[0144] Step 3: Output Control

[0145] The control output unit sends the final power adjustment value of each converter to each converter respectively.

[0146] 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 and thresholds in the formula are set by technicians in this field according to actual conditions.

[0147] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A converter power optimization distribution system, characterized in that: include: A data acquisition unit is used to collect data characteristics corresponding to the real-time power of the load on the AC side of the AC / DC networking system, the input power and output power of the converter, the rated power of the distribution transformer, the control signal delay time of the energy management system, and the efficiency parameters of the converter; The central processing unit, the user analyzes and calculates the data characteristics collected from the AC / DC networking system, and determines the final power adjustment value of each converter, and then sends the calculated final power adjustment value of each converter to the control output unit; The control output unit is used to send the final power adjustment value of each converter to each converter respectively.

2. A converter power optimization distribution system according to claim 1, characterized in that: The analysis and calculation method of the central processing unit is as follows: Step 1: Calculate power deviation Extract the real-time power of the load on the AC side and the output power of the converter; Calculate the difference between the real-time power of the load on the AC side and the output power of the converter, and record it as the power deviation; Step 2: Calculation of load change rate At multiple time nodes in a specified period, obtain the real-time power of the load on the AC side corresponding to each time node; Then, the difference of the real-time power of the load at two adjacent time nodes is calculated, and then the ratio of the difference to the time interval corresponding to the two adjacent time nodes is calculated; Similarly, the ratios corresponding to all two adjacent time nodes are obtained, and then the average value of the ratios is calculated, and finally the average value of the ratios is marked as the load change rate on the AC side; Step 3: Calculate the predicted power of AC side load Extract the real-time power of the AC side load, the control signal delay time of the energy management system, and the load change rate of the AC side, and then substitute them into the preset load forecast power calculation formula to obtain the load forecast power of the AC side; Step 4: Determine the power adjustment target The rated power of the distribution transformer is multiplied by the preset safety margin factor corresponding to the distribution transformer, and then the predicted load power on the AC side is subtracted from the result to obtain the maximum output power of the converter after adjustment; Step 5: Calculation of converter power pre-adjustment The power pre-adjustment amount of the converter is obtained by subtracting the current output power of the converter from the maximum output power after the converter is adjusted; Step 6: Correction and determination of converter power adjustment Extract the current input power and output power of the converter, and then calculate the current efficiency parameters of the converter; Simultaneously extracting efficiency parameters of multiple converters collected by a data collection unit; Then, the power pre-adjustment amount of the converter, the current efficiency parameter of the converter, and the efficiency parameters of multiple converters are substituted into a preset adjustment amount correction formula to calculate the power adjustment amount of the converter; Step 7: Calculation of converter power distribution coefficient Obtaining the power adjustment of all converters, then calculating the sum of the power adjustment of the converters, and marking it as the total power adjustment; Acquire the efficiency parameters collected by the data collection unit for the multiple converters respectively, then calculate the sum of the efficiency parameters and mark it as the total efficiency parameter; Then, the ratio of the power adjustment amount of each converter to the total power adjustment amount is calculated, and at the same time, the ratio of the current efficiency parameter of each converter to the total efficiency parameter is calculated; Then, the two ratios obtained are combined with the preset weight coefficient to calculate the power distribution coefficient of the converter; Step 8: Converter power adjustment allocation The power allocation coefficients of each converter are extracted and then multiplied by the total power adjustment respectively, and then the final power adjustment value of each converter is obtained.

3. A converter power optimization distribution system according to claim 2, characterized in that: In the third step, the load forecast power calculation formula is: P YC =P SS ×(1+T YC ×B FH ); Where P YC is the load prediction power on the AC side, P SS is the real-time power of the AC side load, T YC is the control signal delay time of the energy management system, B FH is the load change rate on the AC side.

4. The converter power optimization distribution system according to claim 2, characterized in that: In the sixth step, the current efficiency parameter of the converter is obtained by dividing the current output power of the converter by its corresponding input power.

5. The converter power optimization distribution system according to claim 2, characterized in that: In the sixth step, the adjustment amount correction formula is: Where P T0 is the power adjustment of the converter, P YT is the power pre-adjustment of the converter, g0 is the current efficiency parameter of the converter, and g i are efficiency parameters of multiple converters collected by the data collection unit, i=1, 2, ... n, and n represents the number of converters.

6. The converter power optimization distribution system according to claim 2, characterized in that: In the seventh step, the power distribution coefficient of the converter is obtained by the formula: Where α is the power distribution coefficient of the converter, is the ratio of the converter power adjustment to the total power adjustment, is the ratio of the current efficiency parameter of the converter to the total efficiency parameter, and β1 and β2 are the corresponding preset weight coefficients.

7. The converter power optimization distribution system according to claim 2, characterized in that: in, The real-time power of the AC side load is measured by a smart meter in real time to measure the current and voltage of the AC side load, and the real-time power of the AC side load is obtained by calculation; The output power of the converter is measured by the sensor inside the converter in real time to measure the output current and voltage of the converter, and the output power of the converter is obtained by calculation; The rated power of the distribution transformer is obtained from the nameplate or technical data of the distribution transformer; The control signal delay time of the energy management system is obtained by measuring the time difference between the energy management system sending the control signal and the converter actually responding. The efficiency parameters of the converter are obtained by actually measuring the input active power of the converter and its corresponding output active power, and the corresponding efficiency parameters are obtained by calculation.

8. The converter power optimization distribution system according to claim 7, characterized in that: The efficiency parameters of the converter are calculated as follows: g i =(P 输出 / P 输入 )×100%; In the formula, g i represents the efficiency parameter corresponding to each converter, i = 1, 2, ... n, n represents the number of converters, P 输出 is the output active power, P 输入 is the input active power.

9. The converter power optimization distribution system according to claim 2, characterized in that: In the first step: If the value of the power deviation is positive, it means that the load demand is greater than the output power of the converter; If the value of the power deviation is negative, it means that the output power of the converter is greater than the load demand.

10. A method for optimizing converter power distribution, characterized in that: The method is implemented by a converter power optimization distribution system as described in any one of claims 1 to 8.

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