Distributed multi-device differentiation and anti-interference cooperative harmonic suppression method

Abstract

The invention relates to the technical field of power electronics and power transmission, and discloses a distributed multi-device differentiation and anti-interference cooperative harmonic suppression method, which comprises the steps of establishing a power generation data module, a power generation data analysis module, an execution module, an execution feedback module and an optimization upgrading module, the power generation data analysis module calculates data collected by the power generation data module and then establishes a harmonic impedance model in combination with the operation condition and historical data of the equipment, the execution module designs a specific harmonic suppression execution scheme of the harmonic impedance model, and the execution feedback module timely corrects the harmonic impedance model. And the model optimizing and upgrading module performs continuous optimizing and upgrading on the harmonic suppression method of the harmonic impedance model based on the power generation data accumulated for a long time, the feedback information of the execution feedback module and the actual operation experience of the execution module.

Description

Technical Field

[0001] The present invention relates to the field of power electronics and electric drive technology, and in particular to a distributed multi-device differentiation and anti-interference coordinated harmonic suppression method. Background Art

[0002] In AC transmission systems above 750 kV and large-scale power grids, harmonic suppression of distributed generation equipment is critical for ensuring power quality and supporting the stable operation of intelligent dispatching systems. With the expansion of power grids and the advancement of power electronics, traditional harmonic suppression methods face new challenges in addressing the harmonic propagation characteristics of ultra-high voltage transmission lines, the differentiated coordination of large-scale equipment, and communication delays in intelligent dispatching.

[0003] In distributed generation systems, harmonic mitigation is a critical component in ensuring power quality and stable system operation. Traditional harmonic mitigation methods face challenges in coping with varying grid conditions, equipment differences, and communication interference. Grid operating conditions are characterized by dynamic variations, including random load fluctuations and erratic voltage fluctuations. However, some existing harmonic mitigation methods fail to fully account for these factors during their design, significantly reducing their adaptability to diverse grid environments. Each device possesses unique characteristics and control requirements, making it difficult for general harmonic mitigation methods to achieve optimal results across all types of devices. Furthermore, in a hierarchical control structure, distributed generation devices require communication to coordinate harmonic mitigation efforts. However, this communication process is susceptible to interference and even interruption, hindering the smooth transmission of control signals and negatively impacting overall system performance. Therefore, it is crucial to develop a distributed multi-device, differentiated, and interference-resistant harmonic mitigation method that effectively addresses varying grid conditions, equipment differences, and communication interference to improve harmonic mitigation effectiveness and enhance system stability and reliability. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides a distributed multi-device differentiated and anti-interference coordinated harmonic suppression method, which has the advantages of strong adaptability, high compatibility with device differences and excellent anti-communication interference ability. It solves the problems of poor harmonic suppression and unstable system operation caused by changes in grid conditions, device differences and communication interference.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a distributed multi-device differentiation and anti-interference coordinated harmonic suppression method, comprising the following steps:

[0006] S1. Establish power generation data module, power generation data analysis module, execution module, execution feedback module and optimization and upgrade module;

[0007] S2, the power generation data module is responsible for collecting data related to power generation during the operation of distributed power generation equipment;

[0008] S3. The power generation data analysis module calculates the data collected by the power generation data module and then establishes a harmonic impedance model based on the equipment's operating conditions and historical data. This model analyzes the source and propagation path of harmonics, providing a basis for the subsequent formulation of harmonic suppression strategies.

[0009] S5. The execution module designs a specific harmonic suppression execution plan for the harmonic impedance model based on the harmonic characteristics and suppression requirements obtained by the power generation data analysis module;

[0010] S6. The execution feedback module monitors the execution effect in real time during the harmonic suppression execution process and feeds back relevant information to the power generation data analysis module and the execution module. If it is found that the suppression effect does not meet the expectations, the deviation information is promptly transmitted to the power generation data analysis module, the harmonic impedance model is promptly corrected, and the correction instructions are transmitted to the execution module to readjust the suppression strategy;

[0011] S7. The model optimization and upgrade module continuously optimizes and upgrades the harmonic suppression method of the harmonic impedance model based on the long-term accumulated power generation data, the feedback information of the execution feedback module, and the actual operation experience of the execution module.

[0012] Preferably, the power generation data module includes a power grid data acquisition unit, a power generation equipment characteristic data acquisition unit and a communication status data acquisition unit.

[0013] Preferably, the grid data acquisition unit collects grid data through sensors, the grid data including real-time grid voltage and real-time grid current, and performs data numbering, the real-time grid voltage values ​​are numbered as μ1, μ2, μ3, ..., μ m , the real-time values ​​of the grid current are numbered x1, x2, x3, ...x n .

[0014] Preferably, the power generation equipment characteristic data acquisition unit collects the power generation equipment characteristic data through an online monitoring instrument, and the power generation equipment characteristic data includes the rated capacity of different distributed power generation equipment and the harmonic frequency offset caused by the difference between different distributed power generation equipment, and the data is numbered. The rated capacity of different distributed power generation equipment is numbered as S1, S2, S3, ... S n The harmonic frequency offsets caused by differences between different distributed power generation equipment are numbered as ΔF1, ΔF2, ΔF3, ... ΔF n .

[0015] Preferably, the communication status data acquisition unit obtains communication status data through a monitoring device, and the communication status data includes communication delay time and packet loss rate, and the data is numbered, and the communication delay time and packet loss rate are numbered as t y d y .

[0016] Preferably, the power generation data analysis module includes a multi-device harmonic compensation unit, and the multi-device harmonic compensation unit calculates the differentiated harmonic compensation coefficients Bz of multiple devices based on the power generation equipment characteristic data.

[0017] Preferably, the execution module includes a power generation anti-communication interference unit and a power generation stability evaluation unit, the power generation anti-communication interference unit calculates the distributed coordination index Hx for anti-communication interference based on the communication status data, and the power generation stability evaluation unit calculates the stability index Gl based on the power grid data.

[0018] Preferably, the multi-device harmonic compensation unit calculates the differentiated harmonic compensation coefficient Bz of the multi-device according to the characteristic data of the power generation equipment, and the calculation formula is:

[0019]

[0020] In the formula, Bz represents the harmonic compensation coefficient of multiple devices, n represents the number of distributed generation equipment, S1, S2, S3, ... S n Indicates the rated capacity of different distributed generation equipment, S i represents the rated capacity of the i-th distributed generation equipment, ΔF1, ΔF2, ΔF3, ... ΔF n Indicates the harmonic frequency offset caused by differences between different distributed power generation devices, ΔF i represents the harmonic frequency offset of the i-th distributed generation device due to the difference between devices;

[0021] The execution module substitutes the differentiated harmonic compensation coefficient Bz of multiple devices into the harmonic impedance model, adjusts the degree of multi-device differentiation of each distributed power generation device, and the execution feedback module evaluates the harmonic suppression effect based on the execution result of substituting the differentiated harmonic compensation coefficient Bz of multiple devices into the harmonic impedance model, and monitors the power grid data and equipment operating status in real time.

[0022] Preferably, the power generation anti-communication interference unit calculates the distributed coordination index Hx for anti-communication interference according to the communication status data, and the calculation formula is:

[0023]

[0024] In the formula, Hx represents the distributed cooperation index for anti-communication interference, t y Indicates the communication delay time, dy represents the packet loss rate, c1 and c2 represent the weight coefficients of communication delay and packet loss rate respectively;

[0025] The execution module evaluates the interference level of the current communication system based on the distributed cooperation index Hx for anti-communication interference, and the execution feedback module monitors the changes in communication delay and packet loss rate in real time based on the adjusted communication status data to evaluate the improvement effect of communication interference.

[0026] Preferably, the power generation stability evaluation unit calculates the stability index G1 based on the power grid data, and the calculation formula is:

[0027]

[0028] In the formula, Gl represents the stability index, μ1, μ2, μ3, ...μ m Indicates the real-time value of the grid voltage, μ i represents the real-time value of the i-th grid voltage, x1, x2, x3, ...x n Indicates the real-time value of the grid current, x i represents the real-time value of the jth grid current, a1, a2, a3, ...a m Indicates the standard value of the grid voltage, a i Indicates the standard value of the i-th grid voltage, p1, p2, p3, ... p n Indicates the standard value of the grid current, p j represents the standard value of the j-th grid current, Indicates the degree of voltage fluctuation. Indicates the degree of current fluctuation, V s Indicates the voltage fluctuation rate, R s represents the load change rate, n represents the total number of real-time values ​​of the measured grid current, and m represents the total number of real-time values ​​of the measured grid voltage;

[0029] The execution module adjusts the operating parameters of the power generation equipment according to the stability index G1, and the execution feedback module adjusts the monitoring threshold according to the actual stability index.

[0030] Compared with the prior art, the present invention provides a distributed multi-device differentiation and anti-interference coordinated harmonic suppression method, which has the following beneficial effects:

[0031] 1. The present invention calculates the differentiated harmonic compensation coefficient Bz of multiple devices, and the execution module substitutes the differentiated harmonic compensation coefficient Bz of multiple devices into the harmonic impedance model to adjust the degree of differentiation of multiple devices of each distributed power generation device. The execution feedback module evaluates the harmonic suppression effect according to the execution result of substituting the differentiated harmonic compensation coefficient of multiple devices into the harmonic impedance model, monitors the power grid data (such as voltage, current, harmonic content) and equipment operating status (such as equipment temperature, load condition) in real time, and when the suppression effect is good, maintains the current strategy; when the suppression effect is not good, feedback deviation information is fed back so that the power generation data analysis module can correct the model and adjust the execution strategy. The optimization and upgrading module optimizes and upgrades the calculation method and execution strategy of the harmonic compensation coefficient according to the feedback information of the execution feedback module and the data accumulated over a long period of time. The above measures help the system better adapt to different operating conditions and changes in equipment characteristics, and further improve the harmonic suppression effect.

[0032] 2. The present invention calculates the distributed coordination index Hx for resistance to communication interference. The execution module evaluates the interference level of the current communication system based on the distributed coordination index Hx for resistance to communication interference and takes corresponding measures for optimization. When the distributed coordination index Hx for resistance to communication interference is low, it indicates that the communication interference is small and the current strategy is maintained. When the distributed coordination index Hx for resistance to communication interference is high, it indicates that the communication interference is large and measures such as optimizing the communication path, enhancing the signal strength and adjusting the communication protocol need to be taken. The execution feedback module monitors the changes in communication delay and packet loss rate in real time based on the adjusted communication status data and evaluates the improvement effect of the communication interference. When the communication interference is effectively improved, the current communication optimization strategy is maintained and continues to operate. When the communication interference is still high, the deviation information is fed back to the power generation data analysis module for further adjustment of the communication strategy. The optimization and upgrading module continuously optimizes and upgrades the communication interference assessment model and optimization strategy based on the feedback information of the execution feedback module and the long-term accumulated communication status data. Specific measures include adjusting the weight coefficient, introducing new communication technologies and optimizing the communication strategy to further enhance the system's anti-interference capability.

[0033] 3. The present invention calculates the stability index G1. The execution module adjusts the operating parameters of the power generation equipment based on the stability index G1. When the stability index G1 is high, the output is reduced to stabilize the power grid. When the stability index G1 is low, the output is increased to meet the load demand. The execution feedback module then adjusts the monitoring threshold based on the actual stability index. The optimization and upgrading module continuously optimizes the harmonic suppression method based on feedback information and long-term data to improve the stability and harmonic suppression effect of the system.

[0034] 4. The present invention calculates the differentiated harmonic compensation coefficient Bz for multiple devices, the distributed coordination index Hx for communication interference resistance, and the stability index Gl, and continuously iterates the optimized upgrade module to form a closed-loop enhancement circuit of "data acquisition → differentiated compensation → communication optimization → stability assurance." This three-loop closed-loop system achieves efficient harmonic suppression under complex interference conditions by linking differentiated compensation for multiple devices (to address device differences), the anti-communication interference coordination index (to address communication delays), and the stability index (to address grid dynamics). BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0037] See also Figure 1 The three parameters, consisting of the multi-device differentiated harmonic compensation coefficient Bz, the distributed coordination index Hx for communication interference resistance, and the stability index Gl, are continuously iterated through optimization and upgrade modules to form a closed-loop reinforcement circuit of "data collection → differentiated compensation → communication optimization → stability assurance." A distributed multi-device differentiated and anti-interference coordinated harmonic suppression method includes the following steps:

[0038] S1. Establish power generation data module, power generation data analysis module, execution module, execution feedback module and optimization and upgrade module;

[0039] S2, the power generation data module is responsible for collecting power generation-related data during the operation of distributed power generation equipment, including voltage, current, frequency, power factor, harmonic content and other real-time data, as well as equipment operating status parameters, ambient temperature and other data that affect power generation and harmonic characteristics, providing basic input for subsequent analysis and processing by the power generation data analysis module;

[0040] S3. The power generation data analysis module calculates the data collected by the power generation data module and then establishes a harmonic impedance model based on the equipment's operating conditions and historical data. This model analyzes the source and propagation path of harmonics, providing a basis for the subsequent formulation of harmonic suppression strategies.

[0041] S5. The execution module designs a specific harmonic suppression execution plan for the harmonic impedance model based on the harmonic characteristics and suppression requirements obtained by the power generation data analysis module;

[0042] S6. During the harmonic suppression execution process, the execution feedback module monitors the execution effect in real time and feeds back relevant information to the power generation data analysis module and the execution module. Through various sensors and monitoring equipment installed in the power grid, it continuously collects voltage, current and harmonic content data after execution and compares and analyzes them with the data before execution. If it is found that the suppression effect does not meet the expectations, the deviation information is promptly transmitted to the power generation data analysis module so that the harmonic impedance model can be corrected in a timely manner. The correction instructions are then transmitted to the execution module so that it can readjust the suppression strategy.

[0043] S7. The model optimization and upgrade module continuously optimizes and upgrades the harmonic suppression method of the harmonic impedance model based on the long-term accumulated power generation data, the feedback information of the execution feedback module, and the actual operation experience of the execution module.

[0044] The power generation data module includes a power grid data acquisition unit, a power generation equipment characteristic data acquisition unit and a communication status data acquisition unit.

[0045] The grid data acquisition unit collects grid data through sensors. The grid data includes real-time grid voltage and current values. It is used to monitor voltage fluctuations and current distortions and number the data. The real-time grid voltage values ​​are numbered as μ1, μ2, μ3, ...μ m , the real-time values ​​of the grid current are numbered as x1, x2, x3, ...x n .

[0046] The power generation equipment characteristic data acquisition unit collects the power generation equipment characteristic data through online monitoring instruments. The power generation equipment characteristic data includes the rated capacity of different distributed power generation equipment and the harmonic frequency offset caused by the differences between different distributed power generation equipment, so as to suppress harmonics according to the characteristics of different equipment and number the data. The rated capacity of different distributed power generation equipment is numbered as S1, S2, S3, ... S n The harmonic frequency offsets caused by differences between different distributed power generation equipment are numbered as ΔF1, ΔF2, ΔF3, ... ΔF n .

[0047] The communication status data acquisition unit obtains the communication status data through the monitoring equipment. The communication status data includes the communication delay time and the packet loss rate, which is used to evaluate the degree of communication interference and number the data. The communication delay time and the packet loss rate are numbered as t y d y .

[0048] The power generation data analysis module includes a multi-device harmonic compensation unit, which calculates the differentiated harmonic compensation coefficients Bz of multiple devices based on the characteristic data of the power generation equipment.

[0049] The execution module includes a power generation anti-communication interference unit and a power generation stability evaluation unit. The power generation anti-communication interference unit calculates the distributed coordination index Hx for anti-communication interference based on the communication status data, and the power generation stability evaluation unit calculates the stability index Gl based on the power grid data.

[0050] The multi-device harmonic compensation unit calculates the differentiated harmonic compensation coefficient Bz for multiple devices based on the characteristic data of the power generation equipment. The calculation formula is:

[0051]

[0052] In the formula, Bz represents the harmonic compensation coefficient of multiple devices, n represents the number of distributed generation equipment, S1, S2, S3, ... S n Indicates the rated capacity of different distributed generation equipment, S i represents the rated capacity of the i-th distributed generation equipment, ΔF1, ΔF2, ΔF3, ... ΔF n Indicates the harmonic frequency offset caused by differences between different distributed power generation devices, ΔF i represents the harmonic frequency offset of the i-th distributed generation device due to inter-device differences (obtained through actual measurement of device characteristic parameters in the generation device characteristic data acquisition unit). The formula for the differentiated harmonic compensation coefficient Bz for multiple devices uses a weighted summation of capacity and frequency offset. This is because devices with larger capacities have a greater impact on system harmonics, and the frequency offset directly affects the selection of compensation frequency. This approach can more accurately reflect the differentiated harmonic compensation requirements of each device, thereby improving the targetedness and effectiveness of harmonic suppression.

[0053] The advantages are: by calculating the differentiated harmonic compensation coefficient Bz of multiple devices, the execution module substitutes the differentiated harmonic compensation coefficient Bz of multiple devices into the harmonic impedance model, adjusts the degree of differentiation of multiple devices of each distributed power generation device, and executes the feedback module according to the execution result of substituting the differentiated harmonic compensation coefficient of multiple devices into the harmonic impedance model, evaluates the harmonic suppression effect, monitors the grid data (such as voltage, current, harmonic content) and equipment operating status (such as equipment temperature, load conditions) in real time, and when the suppression effect is good, maintains the current strategy; when the suppression effect is not good, feedback deviation information is fed back so that the power generation data analysis module can correct the model and adjust the execution strategy; the optimization and upgrade module optimizes and upgrades the calculation method and execution strategy of the harmonic compensation coefficient according to the feedback information of the execution feedback module and the data accumulated over a long period of time. The above measures help the system better adapt to different operating conditions and changes in equipment characteristics, and further improve the harmonic suppression effect.

[0054] The power generation anti-communication interference unit calculates the distributed coordination index Hx of anti-communication interference based on the communication status data. The calculation formula is:

[0055]

[0056] In the formula, Hx represents the distributed cooperation index for anti-communication interference, t y Indicates the communication delay time, d y represents the packet loss rate, c1 and c2 represent the weight coefficients of communication delay and packet loss rate, respectively (set according to the system's sensitivity to communication delay and packet loss rate). The exponential function is selected as the distributed cooperation index Hx for anti-communication interference because the exponential function is nonlinearly sensitive to communication delay and is more suitable for actual interference scenarios. The impact of changes in communication delay and packet loss rate on system cooperation is nonlinear, and the exponential function can more accurately reflect this nonlinear relationship, thereby more effectively evaluating the impact of communication interference on the system.

[0057] The advantages are: by calculating the distributed cooperation index Hx for resisting communication interference, the execution module evaluates the interference level of the current communication system according to the distributed cooperation index Hx for resisting communication interference, and takes corresponding measures to optimize it. When the distributed cooperation index Hx for resisting communication interference is low, it indicates that the communication interference is small and the current strategy is maintained; when the distributed cooperation index Hx for resisting communication interference is high, it indicates that the communication interference is large and it is necessary to take measures such as optimizing the communication path, enhancing the signal strength and adjusting the communication protocol. The execution feedback module monitors the changes in the communication delay and packet loss rate in real time according to the adjusted communication status data, and evaluates the improvement effect of the communication interference. When When the communication interference is effectively improved, the current communication optimization strategy is maintained and continues to operate. When the communication interference is still high, the deviation information is fed back to the power generation data analysis module to further adjust the communication strategy. The optimization and upgrade module continuously optimizes and upgrades the communication interference assessment model and optimization strategy based on the feedback information of the execution feedback module and the long-term accumulated communication status data. Specific measures include adjusting the weight coefficient, introducing new communication technologies and optimizing communication strategies to further enhance the system's anti-interference ability. Communication delay and packet loss rate are introduced as control variables into the harmonic suppression strategy, breaking through the limitation of traditional power control relying solely on physical quantity feedback.

[0058] The power generation stability evaluation unit calculates the stability index G l based on the power grid data. The calculation formula is:

[0059]

[0060] In the formula, Gl represents the stability index, μ1, μ2, μ3, ...μ m Indicates the real-time value of the grid voltage, μ i represents the real-time value of the i-th grid voltage, x1, x2, x3, ...x n Indicates the real-time value of the grid current, x i represents the real-time value of the jth grid current, a1, a2, a3, ...am Indicates the standard value of the grid voltage, a i Indicates the standard value of the i-th grid voltage, p1, p2, p3, ... p n Indicates the standard value of the grid current, p j represents the standard value of the j-th grid current, Indicates the degree of voltage fluctuation. Indicates the degree of current fluctuation, V s Indicates the voltage fluctuation rate, R s represents the load change rate, n represents the total number of measured real-time values ​​of grid current, and m represents the total number of measured real-time values ​​of grid voltage. The formula of the stability index Gl can emphasize the necessity of comprehensive voltage fluctuation, current fluctuation, and load change rate. A single voltage or current indicator cannot fully reflect the stability of the system, and a multi-dimensional weighted evaluation is required. By comprehensively considering the voltage fluctuation degree, current fluctuation degree, voltage fluctuation rate, and load change rate, the stability of the power generation system can be evaluated more comprehensively and accurately, thereby providing a more reliable basis for subsequent parameter adjustments.

[0061] The advantages are: by calculating the stability index Gl, the execution module adjusts the operating parameters of the power generation equipment according to the stability index Gl. When the stability index Gl is high, the output is reduced to stabilize the power grid. When the stability index Gl is low, the output is increased to meet the load demand. The execution feedback module then adjusts the monitoring threshold according to the actual stability index. The optimization and upgrade module continuously optimizes the harmonic suppression method based on feedback information and long-term data to improve the stability and harmonic suppression effect of the system.

[0062] When the Hx index increases (communication interference is severe), the update frequency of the Bz coefficient is reduced to reduce communication dependence; when the Gl index decreases (system instability), priority is given to adjusting the operating parameters of the power generation equipment rather than relying on communication coordination.

[0063] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A distributed multi-device differentiation and anti-interference coordinated harmonic suppression method, characterized in that: The following steps are involved: S1. Establish power generation data module, power generation data analysis module, execution module, execution feedback module and optimization and upgrade module; S2, the power generation data module is responsible for collecting data related to power generation during the operation of distributed power generation equipment; S3. The power generation data analysis module calculates the data collected by the power generation data module and then establishes a harmonic impedance model based on the equipment's operating conditions and historical data. This model analyzes the source and propagation path of harmonics, providing a basis for the subsequent formulation of harmonic suppression strategies. S5. The execution module designs a specific harmonic suppression execution plan for the harmonic impedance model based on the harmonic characteristics and suppression requirements obtained by the power generation data analysis module; S6. The execution feedback module monitors the execution effect in real time during the harmonic suppression execution process and feeds back relevant information to the power generation data analysis module and the execution module. If it is found that the suppression effect does not meet the expectations, the deviation information is promptly transmitted to the power generation data analysis module, the harmonic impedance model is promptly corrected, and the correction instructions are transmitted to the execution module to readjust the suppression strategy; S7. The model optimization and upgrade module continuously optimizes and upgrades the harmonic suppression method of the harmonic impedance model based on the long-term accumulated power generation data, the feedback information of the execution feedback module, and the actual operation experience of the execution module.

2. The distributed multi-device differentiation and anti-interference coordinated harmonic suppression method according to claim 1 is characterized by: The power generation data module includes a power grid data acquisition unit, a power generation equipment characteristic data acquisition unit and a communication status data acquisition unit.

3. The distributed multi-device differentiation and anti-interference coordinated harmonic suppression method according to claim 2 is characterized by: The grid data acquisition unit collects grid data through sensors. The grid data includes real-time grid voltage and real-time grid current, and performs data numbering. The real-time grid voltage values ​​are numbered as μ1, μ2, μ3, ..., μ m , the real-time values ​​of the grid current are numbered x1, x2, x3, ...x n .

4. The distributed multi-device differentiation and anti-interference coordinated harmonic suppression method according to claim 2 is characterized by: The power generation equipment characteristic data acquisition unit collects power generation equipment characteristic data through online monitoring instruments. The power generation equipment characteristic data includes the rated capacity of different distributed power generation equipment and the harmonic frequency offset caused by the difference between different distributed power generation equipment, and the data is numbered. The rated capacity of different distributed power generation equipment is numbered as S1, S2, S3, ... S n The harmonic frequency offsets caused by differences between different distributed power generation equipment are numbered as ΔF1, ΔF2, ΔF3, ... ΔF n .

5. The method for harmonic suppression with distributed multi-device differentiation and anti-interference coordination according to claim 2, characterized in that: The communication status data acquisition unit obtains communication status data through a monitoring device, and the communication status data includes communication delay time and packet loss rate, and performs data numbering. The communication delay time and packet loss rate are numbered t y d y .

6. The method for harmonic suppression with distributed multi-device differentiation and anti-interference coordination according to claim 1, characterized in that: The power generation data analysis module includes a multi-device harmonic compensation unit, which calculates the differentiated harmonic compensation coefficients Bz of multiple devices according to the characteristic data of the power generation equipment.

7. The distributed multi-device differentiation and anti-interference coordinated harmonic suppression method according to claim 1, characterized in that: The execution module includes a power generation anti-communication interference unit and a power generation stability evaluation unit. The power generation anti-communication interference unit calculates the distributed coordination index Hx for anti-communication interference based on communication status data, and the power generation stability evaluation unit calculates the stability index Gl based on power grid data.

8. The distributed multi-device differentiation and anti-interference coordinated harmonic suppression method according to claim 6, characterized in that: The multi-device harmonic compensation unit calculates the differentiated harmonic compensation coefficient Bz of multiple devices based on the characteristic data of the power generation equipment, and the calculation formula is: In the formula, Bz represents the harmonic compensation coefficient of multiple devices, n represents the number of distributed generation equipment, S1, S2, S3, ... S n Indicates the rated capacity of different distributed generation equipment, S i represents the rated capacity of the i-th distributed generation equipment, ΔF1, ΔF2, ΔF3, ... ΔF n Indicates the harmonic frequency offset caused by differences between different distributed power generation devices, ΔF i represents the harmonic frequency offset of the i-th distributed generation device due to the difference between devices; The execution module substitutes the differentiated harmonic compensation coefficient Bz of multiple devices into the harmonic impedance model, adjusts the degree of multi-device differentiation of each distributed power generation device, and the execution feedback module evaluates the harmonic suppression effect based on the execution result of substituting the differentiated harmonic compensation coefficient Bz of multiple devices into the harmonic impedance model, and monitors the power grid data and equipment operating status in real time.

9. The distributed multi-device differentiation and anti-interference coordinated harmonic suppression method according to claim 7, characterized in that: The power generation anti-communication interference unit calculates the distributed coordination index Hx for anti-communication interference based on the communication status data, and the calculation formula is: In the formula, Hx represents the distributed cooperation index for anti-communication interference, t y Indicates the communication delay time, d y represents the packet loss rate, c1 and c2 represent the weight coefficients of communication delay and packet loss rate respectively; The execution module evaluates the interference level of the current communication system based on the distributed cooperation index Hx for anti-communication interference, and the execution feedback module monitors the changes in communication delay and packet loss rate in real time based on the adjusted communication status data to evaluate the improvement effect of communication interference.

10. The distributed multi-device differentiation and anti-interference coordinated harmonic suppression method according to claim 7, characterized in that: The power generation stability evaluation unit calculates the stability index G1 based on the power grid data, and the calculation formula is: In the formula, Gl represents the stability index, μ1, μ2, μ3, ...μ m Indicates the real-time value of the grid voltage, μ i represents the real-time value of the i-th grid voltage, x1, x2, x3, ...x n Indicates the real-time value of the grid current, x i represents the real-time value of the jth grid current, a1, a2, a3, ...a m Indicates the standard value of the grid voltage, a i Indicates the standard value of the i-th grid voltage, p1, p2, p3, ... p n Indicates the standard value of the grid current, p j represents the standard value of the j-th grid current, Indicates the degree of voltage fluctuation. Indicates the degree of current fluctuation, V s Indicates the voltage fluctuation rate, R s represents the load change rate, n represents the total number of real-time values ​​of the measured grid current, and m represents the total number of real-time values ​​of the measured grid voltage; The execution module adjusts the operating parameters of the power generation equipment according to the stability index G1, and the execution feedback module adjusts the monitoring threshold according to the actual stability index.

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