Novel static dynamic reactive power compensation device and control method thereof

Abstract

The invention relates to the technical field of electric power reactive power compensation, in particular to a novel static dynamic reactive power compensation device and a control method thereof, and the device comprises a power grid state monitoring module, a reactive power demand calculation module, a compensation control execution module, a harmonic suppression module and a dynamic energy storage support module. According to the method, through real-time extraction and segmented analysis of the dynamic operation parameters of the power grid, accurate perception of the state of the power grid is realized, the transient characteristics of operation are represented, an accurate basis is provided for subsequent compensation, decomposition and classified accumulation of reactive power requirements are realized, inductive and capacitive power differences are accurately identified, the calculation accuracy and efficiency are improved, and load adaptation is optimized; in harmonic suppression, resolution and response speed are enhanced through signal separation and frequency correction, energy storage and compensation linkage is improved through dynamic energy storage optimization, dynamic response capability is enhanced, loss is reduced, voltage stability and power factors are improved, stable guarantee is provided for complex fluctuation scenes, and electric energy is saved.

Description

Technical Field

[0001] The invention relates to the technical field of power reactive power compensation, and in particular to a novel static dynamic reactive power compensation device and a control method thereof. Background Art

[0002] The field of reactive power compensation technology mainly involves the regulation and compensation of reactive power in the power system through devices or equipment to improve the quality of electric energy, enhance the stability of the system and the transmission efficiency. This field includes static compensation equipment (such as SVG, SVC), dynamic compensation technology, harmonic suppression technology, etc. Its application covers the fields of transmission and distribution networks, industrial electricity, rail transportation and new energy. Through reasonable reactive power management, it can reduce grid losses, improve voltage fluctuations, and improve power factor, thereby effectively ensuring the safe and stable operation of the power system and meeting the dynamic needs of the load.

[0003] Among them, the new static dynamic reactive power compensation device is a dynamic compensation device with a static VAR generator (SVG) as the core. It is based on high-power inverter technology and provides accurate and efficient reactive power compensation by adjusting the amplitude and phase of the output voltage. Its main uses include improving grid stability, improving voltage quality, suppressing harmonics and load imbalance, etc. It can be widely used in power transmission and distribution systems, industrial loads, new energy power generation, rail transit and other fields, saving electricity for users and significantly reducing electricity costs, while enhancing the overall reliability and operation efficiency of the power system.

[0004] The existing technology has a weak real-time perception capability of dynamic parameters in the monitoring of power grid operation status, and lacks multi-dimensional segmented processing of signals such as voltage, frequency and current, which leads to limitations in capturing the transient characteristics of power grid operation. This deficiency will cause low calculation accuracy of reactive compensation demand, insufficient distinction between inductive and capacitive power demand, and difficulty in meeting the dynamic needs of complex loads. In the compensation execution process, the existing technology has a weak dynamic matching capability for load operation status, which is prone to cause power grid fluctuations or insufficient compensation due to inaccurate compensation. Harmonic control technology mostly adopts fixed filtering mode, which has insufficient resolution capability for harmonic signals and cannot effectively respond to harmonic signals in different frequency bands dynamically, limiting the control effect. The lack of coordination between dynamic energy storage and reactive compensation also makes it difficult for existing technologies to provide efficient dynamic support in complex load change scenarios, resulting in problems such as increased power grid losses, frequent voltage fluctuations and low power factor, which ultimately reduce the overall stability and efficiency of power grid operation. Summary of the invention

[0005] In order to solve the problem that the existing technology has a weak real-time perception ability of dynamic parameters in the monitoring of power grid operation status, lacks multi-dimensional segmented processing of signals such as voltage, frequency and current, resulting in limitations in capturing the transient characteristics of power grid operation. This deficiency will cause low calculation accuracy of reactive compensation demand, insufficient distinction between inductive and capacitive power demand, and difficulty in meeting the dynamic needs of complex loads. During the compensation execution process, the existing technology has a weak dynamic matching ability for load operation status, which is easy to cause power grid fluctuations or insufficient compensation due to inaccurate compensation. Harmonic control technology mostly adopts a fixed filtering method, which has insufficient resolution ability for harmonic signals and cannot effectively respond to harmonic signals in different frequency bands dynamically, limiting the control effect. The lack of coordination between dynamic energy storage and reactive compensation also makes it difficult for the existing technology to provide efficient dynamic support in complex load change scenarios, resulting in problems such as increased power grid losses, frequent voltage fluctuations and low power factor, and ultimately reducing the overall stability and efficiency of power grid operation. The embodiment of the present invention provides a new static dynamic reactive compensation device and its control method. The technical solution is as follows: On the one hand, a novel static dynamic reactive power compensation device is provided, the device comprising: The grid status monitoring module is based on the real-time detection of voltage amplitude, frequency offset and current phase, performs period segmentation of voltage amplitude change rate and frequency fluctuation, extracts current phase difference offset, superimposes harmonic signal intensity distribution, and obtains a set of grid dynamic operation parameters; The reactive power demand calculation module extracts the voltage offset signal and the frequency fluctuation signal based on the set of dynamic operation parameters of the power grid, performs periodic decomposition of the load reactive power, classifies and accumulates the inductive and capacitive power demands, and obtains the reactive power demand decomposition result; The compensation control execution module extracts the difference between inductive and capacitive power based on the reactive power demand decomposition result, processes the difference signal, adjusts the SVG voltage and phase, dynamically matches the load state, performs power correction, and generates a real-time compensation matching result; Based on the real-time compensation matching result, the harmonic control module extracts the grid output voltage signal, performs frequency calculation to separate the harmonic components, accumulates the harmonic values, processes the SVG voltage signal, converts it into a filter frequency adjustment signal, corrects the output power, and obtains the harmonic correction result; The dynamic energy storage support module processes the difference between the SVG power output signal and the remaining capacity based on the harmonic correction result, determines the energy storage release state, dynamically compensates the SVG output power, and obtains the optimized static synchronous compensator control scheme.

[0006] As a further solution of the present invention, the set of dynamic operation parameters of the power grid includes voltage amplitude change rate, frequency fluctuation, current phase offset, and harmonic intensity distribution; the reactive power demand decomposition result includes inductive power demand, capacitive power demand, positive deviation signal, and negative deviation signal; the real-time compensation matching result includes inductive power difference, capacitive power difference, SVG voltage amplitude adjustment signal, SVG phase angle adjustment signal, and power output correction result; the harmonic correction result includes total harmonic value, filter frequency adjustment signal, and SVG output power correction result; the static synchronous compensator control scheme includes energy storage power output signal, energy storage capacity release status, and SVG output power data.

[0007] As a further solution of the present invention, the power grid status monitoring module includes: The voltage fluctuation analysis submodule is based on the real-time detection of voltage amplitude, frequency offset and current phase, calculates the change amount of adjacent time points, divides the change rate by time period, accumulates the change amount of each period, extracts the fluctuation amplitude range, and obtains the voltage change period distribution characteristics; The frequency offset calculation submodule extracts the extreme points of each cycle in combination with the voltage variation period distribution characteristics, processes the fluctuation amplitudes in groups, and obtains frequency offset period characteristic data; The current phase difference processing submodule calculates and analyzes the phase difference cumulative weight value of the cycle based on the frequency offset period characteristic data, accumulates the calculation results, analyzes the relationship between the harmonic signal intensity distribution and the phase change, and establishes a set of dynamic operation parameters of the power grid.

[0008] As a further solution of the present invention, the phase difference cumulative weight value of the analysis period is calculated according to the formula: ; in, Represents the cumulative weight value of the phase difference in the analysis period, represents the weight parameter associated with each period, Representative The phase difference value within a cycle is is the nonlinear adjustment coefficient, is the reference adjustment coefficient of frequency offset, Representative The frequency deviation value of each cycle is is the total number of cycles analyzed.

[0009] As a further solution of the present invention, the reactive power demand calculation module includes: The signal extraction submodule extracts the voltage offset signal amplitude and marks the time relationship based on the set of dynamic operation parameters of the power grid, counts the frequency fluctuation period characteristics, normalizes the signal range and combines the characteristics to obtain the offset and fluctuation signal characteristics; The demand decomposition submodule extracts the load inductive reactive power amplitude and performs segmented statistics based on the offset and fluctuation signal characteristics, extracts the capacitive reactive power amplitude interval and decomposes the periodic demand, classifies and sorts the positive and negative deviation signals, and generates the demand deviation signal distribution result; The power accumulation submodule accumulates the inductive power demand and summarizes the capacitive power demand based on the demand deviation signal distribution result, summarizes the difference between the two types of power and balances the parameters, analyzes the relationship between magnitude and time, and establishes the reactive power demand decomposition result.

[0010] As a further solution of the present invention, the compensation control execution module includes: The power difference processing submodule extracts the inductive power difference and divides it into intervals based on the reactive power demand decomposition result, marks the positive and negative states and groups them, analyzes the capacitive power difference amplitude distribution and classifies the interval characteristics, and obtains the power difference state data; The voltage and phase adjustment submodule extracts the power shortage signal based on the power difference status data, normalizes it, converts it into the SVG voltage amplitude adjustment signal and the phase angle adjustment signal, matches the cycle and corrects the amplitude, integrates the parameters and time characteristics of the signal output, and obtains the SVG adjustment signal characteristics; The dynamic power correction submodule adjusts the signal characteristics of the SVG based on the load operation status data, extracts the voltage adjustment signal and corrects the load power parameters, processes the phase angle signal and compensates the load cycle parameters, updates the load correction parameters and power distribution, and establishes a real-time compensation matching result.

[0011] As a further solution of the present invention, the harmonic control module includes: The harmonic component extraction submodule extracts the frequency range of the power grid output voltage signal and divides it into segments based on the real-time compensation matching result, calculates the amplitude and phase characteristics of the frequency signal, classifies and processes low-frequency and high-frequency harmonics and accumulates them, and obtains harmonic component characteristic data in combination with time series information; The harmonic signal processing submodule extracts the total harmonic value based on the harmonic component characteristic data and compares it with the dynamic SVG voltage signal, marks the frequency band relationship that exceeds the amplitude, smoothes the high-frequency harmonic signal and adjusts the low-frequency harmonic periodic characteristics, and obtains the filter frequency adjustment characteristics in combination with the amplitude change; The power correction submodule extracts the adjustment signal amplitude and matches the SVG output power based on the filter frequency adjustment characteristic, calculates the adjusted SVG output power, adjusts the output power periodic signal, processes the deviation from the load state, classifies the corrected power data in sections and reallocates the time parameters, and establishes the harmonic correction result.

[0012] As a further solution of the present invention, the adjusted SVG output power is calculated according to the formula: ; in, Indicates the adjusted SVG output power, Represents the power supply voltage, Represents the power supply current, represents the original phase difference, Represents the phase adjustment, represents the load impedance, represents the angular frequency, represents the inductive reactance of the load, Represents compensation capacitor.

[0013] As a further solution of the present invention, the dynamic energy storage support module includes: The energy storage signal extraction submodule extracts the SVG power signal based on the harmonic correction result and analyzes the time characteristics in segments, analyzes the power signal amplitude and phase, divides the remaining energy storage capacity signal interval, and marks the interval characteristics to obtain the energy storage dynamic difference characteristics; The energy storage capacity processing submodule extracts the energy storage release state and divides the cycle range based on the energy storage dynamic difference characteristics, matches the release signal amplitude change with the dynamic difference characteristics, adjusts the release signal time series and converts it into an energy storage power output signal after correction, and generates an energy storage power output result; Based on the energy storage power output result, the power dynamic compensation submodule extracts the energy storage power signal and the SVG output power data and dynamically compares them, adjusts the power output time series of the two, corrects the total output power deviation and allocates the power and time series mapping, and establishes the optimized static synchronous compensator control scheme.

[0014] On the other hand, a novel static dynamic reactive power compensation device control method is provided, and the novel static dynamic reactive power compensation device control method is performed based on the novel static dynamic reactive power compensation device, and comprises the following steps: S1: Based on the real-time detection of voltage amplitude, frequency offset and current phase, the voltage amplitude change rate in the time series is extracted, the change rate and frequency fluctuation are statistically calculated by period, the frequency fluctuation accumulation value is calculated, the current phase difference offset within the segment is extracted, the harmonic signal strength distribution value and the segment data accumulation result are statistically calculated, and the dynamic operation parameter set of the power grid is established; S2: Based on the set of dynamic operation parameters of the power grid, extract the voltage offset signal and the frequency fluctuation signal within the cycle, separate the positive and negative deviation signals of the inductive reactive power and capacitive reactive power demand, decompose the cycle according to the time series, classify and accumulate the positive and negative deviation signals to the corresponding power demand, associate the accumulated results with the load time cycle data, and generate the reactive power demand decomposition result; S3: Based on the reactive power demand decomposition result, extract the inductive power difference signal and the capacitive power difference signal, convert the excess signal into the SVG phase angle adjustment signal, match the adjustment signal with the load operation status data item by item, correct the dynamic power data according to the difference signal, merge the corrected power signals, and generate a real-time compensation matching result; S4: Based on the real-time compensation matching result, extract the total harmonic signal, separate the low-frequency and high-frequency harmonic signals according to the frequency range and accumulate them, process the difference between the accumulated harmonic value and the SVG voltage amplitude signal, correct the SVG power output signal with the adjustment signal, extract the difference between the corrected power output signal and the remaining energy storage capacity, convert it into an energy storage power output signal, and construct a static synchronous compensator control scheme after tuning.

[0015] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least: Through real-time extraction and segmented analysis of the dynamic operation parameters of the power grid, multi-dimensional dynamic signals such as voltage amplitude, frequency offset and current phase are captured to achieve a comprehensive perception of the power grid status. This signal segmentation and superposition processing method can accurately characterize the transient characteristics of the power grid operation and lay an accurate foundation for subsequent compensation operations. By decomposing and categorizing the reactive power demand, the difference between inductive and capacitive power can be accurately identified, and the degree of refinement of demand calculation can be improved. Through dynamic matching and power correction strategies, an efficient balance of inductive and capacitive power can be achieved in real-time compensation, while significantly optimizing the accuracy of load adaptation. Improve operational efficiency. In terms of harmonic control, the resolution of harmonic signals is enhanced through frequency segmentation separation and cumulative signal adjustment, and the response speed and accuracy of harmonic control are improved by combining dynamic correction of the filter frequency. Energy storage supports dynamic capacity analysis and output tuning to effectively enhance the linkage between energy storage devices and compensation devices, and further improve the dynamic response capability of the devices. This collaborative optimization method reduces grid losses, improves voltage stability, and enhances power factor. At the same time, it brings significant energy savings to users and provides stronger safety, stability and operational guarantees under complex grid fluctuations. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 is a schematic diagram of a novel static dynamic reactive power compensation device provided by an embodiment of the present invention; Figure 2 It is a schematic diagram of the device framework of the present invention; Figure 3 This is a flow chart of the power grid status monitoring module in the present invention; Figure 4 It is a flow chart of the reactive power demand calculation module in the present invention; Figure 5 It is a flow chart of the compensation control execution module in the present invention; Figure 6 This is a flow chart of the harmonic control module in the present invention; Figure 7 This is a flow chart of the dynamic energy storage support module in the present invention; Figure 8 It is a flow chart of a novel static dynamic reactive power compensation device control method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0019] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0020] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same.

[0021] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0022] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0023] The embodiment of the present invention provides a novel static dynamic reactive power compensation device, such as Figure 1-2 The schematic diagram of the new static dynamic reactive power compensation device shown in FIG. 1 includes: The grid status monitoring module is based on the real-time detection of voltage amplitude, frequency offset and current phase, performs periodic segmentation of voltage amplitude change rate and frequency fluctuation, extracts current phase difference offset, and periodically superimposes the harmonic signal intensity distribution to obtain a set of dynamic grid operation parameters; The reactive power demand calculation module extracts the voltage offset signal and frequency fluctuation signal based on the set of dynamic operation parameters of the power grid, performs periodic decomposition of the load inductive reactive power and capacitive reactive power demand, analyzes the positive and negative deviation signals in the demand signal, and classifies and accumulates the inductive power and capacitive power demand one by one to obtain the reactive power demand decomposition result; The compensation control execution module extracts the inductive power difference and the capacitive power difference based on the reactive power demand decomposition result, determines the difference deficiency signal, and converts it into the SVG voltage amplitude adjustment signal, processes the difference excess signal, and converts it into the SVG phase angle adjustment signal, dynamically matches it with the load operation status data, and performs power output correction to generate real-time compensation matching results; Based on the real-time compensation matching results, the harmonic control module extracts the grid output voltage signal, performs frequency segmentation operation to separate the harmonic components, accumulates the low-frequency and high-frequency harmonic signals to obtain the total harmonic value, processes the total harmonic value and the dynamic SVG voltage amplitude signal, and converts them into a filter frequency adjustment signal. Combined with the adjusted signal, the SVG output power data is corrected to obtain the harmonic correction result; Based on the harmonic correction results, the dynamic energy storage support module extracts the SVG power output signal, processes the dynamic difference between the remaining capacity signal and the power output signal, determines the release state of the energy storage capacity, and converts it into an energy storage power output signal. It performs real-time dynamic compensation in combination with the current output power data of the SVG to obtain the optimized static synchronous compensator control scheme.

[0024] The set of dynamic operation parameters of the power grid includes the voltage amplitude change rate, frequency fluctuation, current phase offset, and harmonic intensity distribution. The reactive power demand decomposition results include inductive power demand, capacitive power demand, positive deviation signal, and negative deviation signal. The real-time compensation matching results include inductive power difference, capacitive power difference, SVG voltage amplitude adjustment signal, SVG phase angle adjustment signal, and power output correction results. The harmonic correction results include total harmonic value, filter frequency adjustment signal, and SVG output power correction results. The static synchronous compensator control scheme includes energy storage power output signal, energy storage capacity release status, and SVG output power data.

[0025] Specifically, if Figure 2 , 3 As shown, the power grid status monitoring module includes: The voltage fluctuation analysis submodule is based on the real-time detection of voltage amplitude, frequency offset and current phase, calculates the change amount of adjacent time points, divides the change rate by time period, accumulates the change amount of each period, extracts the fluctuation amplitude range, and obtains the voltage change period distribution characteristics; In order to achieve accurate analysis of voltage fluctuations, voltage signals of key nodes of the power grid are collected in real time, and the collected signals are decomposed in time series through digital processing equipment. The change in voltage amplitude is divided into a set of differential values ​​in a continuous time period. The change in voltage amplitude at each time point is completed by calculating the difference between the previous and next sampling points, and a preliminary map of the change trend is generated. After dividing the time period, the cumulative change in voltage fluctuations in each period is calculated according to the set period length, and the cumulative range value of voltage fluctuations is obtained by summing up. At the same time, abnormal noise points are eliminated to ensure the continuity and authenticity of the data. When extracting the fluctuation amplitude, low-frequency small fluctuations are eliminated by setting a threshold, and the large-amplitude fluctuation range is accurately defined. After the fluctuation amplitude of each period is extracted, the discrete frequency characteristic analysis method is used to further clarify the distribution characteristics of the voltage change period, which is used to guide the subsequent dynamic reactive power compensation device strategy setting.

[0026] The frequency offset calculation submodule combines the voltage change period distribution characteristics, extracts the extreme points of each period, processes the fluctuation amplitude in groups, and obtains the frequency offset period characteristic data; Aiming at the dynamic change characteristics of frequency offset, firstly, according to the statistical results of the voltage change periodic distribution characteristics, the maximum and minimum values ​​in each cycle are extracted as the extreme point set. After the data of the extreme values ​​of each cycle are archived, the change rate between adjacent extreme points is further calculated, and classified according to the change amplitude. By setting the fluctuation amplitude interval, the change rate is divided into multiple levels. The extreme points of each fluctuation level are stored separately according to the grouping rules, and the fluctuation periodicity between different groups is analyzed through the amplitude change trend chart to obtain the frequency offset periodic characteristic data. Based on each group of data, the periodic length and fluctuation amplitude are accumulated and sorted group by group to generate a periodic characteristic curve, identify the frequency offset trend in the periodic fluctuation, and clarify the dominant component of the fluctuation and its stability, so as to adjust the dynamic response time and compensation power range in real time.

[0027] The current phase difference processing submodule calculates the phase difference cumulative weight value of the analysis period based on the frequency offset period characteristic data, accumulates the calculation results, analyzes the relationship between the harmonic signal intensity distribution and phase change, and establishes a set of dynamic operation parameters of the power grid; Calculate the phase difference cumulative weight value of the analysis period according to the formula: ; in, Represents the cumulative weight value of the phase difference in the analysis period, represents the weight parameter associated with each period, Representative The phase difference value within a cycle is is the nonlinear adjustment coefficient, is the reference adjustment coefficient of frequency offset, Representative The frequency deviation value of each cycle is is the total number of cycles analyzed; Detailed explanation of the formula and the process of formula calculation and derivation: This formula is used to calculate the phase difference cumulative weight value of the current analysis period ,The results are used to establish a set of dynamic operation parameters of the power grid; : No. The weight parameter of each cycle reflects the importance of the data in this cycle and is set to 1.2. The reason is that the load fluctuation in this cycle is large and its weight needs to be increased to accurately reflect the phase difference. : No. The phase difference value of each cycle reflects the phase difference between voltage and current, which is measured by a phase measuring instrument and is set to 0.05 radians; : Nonlinear adjustment coefficient, which increases the sensitivity to large phase differences and is set to 2. The basis is to square the phase difference to amplify the impact of large deviations; : The reference adjustment coefficient of the frequency offset is set to 0.01 to prevent the denominator from approaching zero. The purpose is to ensure the stability of the calculation and prevent the denominator from being too small when the frequency offset value is too small; : No. The frequency deviation value of a cycle reflects the degree of frequency change within the cycle. It is measured by a frequency measuring device and is set to 0.02Hz. : The total number of cycles analyzed is set to 5, which means that the data of 5 cycles are cumulatively calculated; Compute the components for each period: For the first cycle:

[0028] Calculation process: , , , , , ; For the 2nd to 5th cycles, the measured phase difference value and frequency offset value are set to be the same, and the calculation process is the same as the 1st cycle, and the result of each cycle is 0.029; Add up the results of all cycles: ; result It shows that the phase difference cumulative weight value of the current analysis period is 0.147, which is used to establish a set of dynamic operation parameters of the power grid, reflecting the degree of phase difference accumulation of the power grid in this period.

[0029] Specifically, if Figure 2 , 4 As shown, the reactive power demand calculation module includes: The signal extraction submodule extracts the voltage offset signal amplitude and marks the time relationship based on the set of dynamic operation parameters of the power grid, counts the frequency fluctuation period characteristics, normalizes the signal range and combines the characteristics to obtain the offset and fluctuation signal characteristics; The signal extraction process selects the voltage offset signal as the core processing object from the dynamic operation parameter set, and distributes and marks the voltage offset amplitude according to the sampling points on the time axis. By constructing a time relationship matrix, the time point correspondence of each offset amplitude is determined. When statistically analyzing the frequency fluctuation period characteristics, the signal data is divided by time period, and the fluctuation period length is divided into multiple intervals. The frequency mean and range characteristics of each interval are calculated, and the fluctuation period distribution characteristic diagram is generated in combination with the change trend of the sampling points. In the process of normalizing the signal range, the voltage offset signal amplitude is linearly mapped according to the maximum and minimum values ​​and compressed to the normalized interval to ensure the consistency of the signal amplitude in different time periods and feature sets. The normalized signal characteristics are combined to superimpose the feature sets of the offset signal and the fluctuation signal, and a comprehensive feature vector is constructed according to the multi-dimensional feature combination method. Finally, the offset and fluctuation signal characteristics are generated, and a new static dynamic reactive power compensation device is provided for subsequent dynamic response analysis.

[0030] The demand decomposition submodule extracts the load inductive reactive power amplitude and performs segmented statistics based on the characteristics of the offset and fluctuation signals, extracts the capacitive reactive power amplitude interval and decomposes the periodic demand, classifies and sorts the positive and negative deviation signals, and generates the demand deviation signal distribution results; According to the voltage offset data and frequency fluctuation data in the offset and fluctuation signal characteristics, the power demand amplitude of inductive load and capacitive load is distinguished according to the changing trend of reactive power demand in each time period. The entire signal period is divided into multiple sub-intervals according to the fluctuation period by segmented statistics of inductive reactive power. The inductive power demand is accumulated and calculated in each interval to form a segmented statistical result. The capacitive reactive power amplitude interval is extracted according to the corresponding characteristics of different offset amplitudes, and different amplitude intervals are delineated and their periodic demands are counted one by one. The decomposition result of capacitive demand is formed by summarizing and arranging the periodic data. In the process of classifying and arranging positive and negative deviation signals, positive deviation and negative deviation are distinguished according to the signal offset direction. The amplitude distribution of each deviation signal is accumulated and calculated to finally obtain the demand deviation signal distribution result, which provides a basis for subsequent power accumulation and balance calculation.

[0031] The power accumulation submodule accumulates the inductive power demand and summarizes the capacitive power demand based on the demand deviation signal distribution results, summarizes the difference between the two types of power and balances the parameters, analyzes the relationship between magnitude and time, and establishes the reactive power demand decomposition results; The accumulation of inductive power demand is processed by gradually superimposing the inductive reactive power amplitude of each time period. After the superposition is completed, the inductive power accumulation trend curve is generated according to the change amplitude of the demand in different time periods, and the important fluctuation points are marked. The capacitive power demand is summarized based on the capacitive reactive power demand of each cycle. The demand of each cycle is sorted by interval and the total demand is calculated to generate a capacitive power demand distribution characteristic diagram. When summarizing the two types of power differences, the difference between inductive power and capacitive power is compared point by point. The positive difference is regarded as the excess inductive power and the negative difference is regarded as the unsatisfied part of the capacitive power demand. The overall power balance state is calculated. Based on the balance analysis of power differences, the time distribution relationship between inductive and capacitive power is further established. Combined with the magnitude changes on the time axis, the reactive power demand decomposition result is formed, providing dynamic compensation strategy support for the new static dynamic reactive power compensation device.

[0032] Specifically, if Figure 2 , 5 As shown, the compensation control execution module includes: The power difference processing submodule extracts the inductive power difference and divides it into intervals based on the reactive power demand decomposition results, marks the positive and negative states and groups them, analyzes the capacitive power difference amplitude distribution and classifies the interval characteristics, and obtains the power difference state data; The extraction of inductive power difference is based on the difference between inductive power demand and supply in the reactive power demand decomposition result. The difference between the two is calculated cycle by cycle, and the grouping interval is set according to the absolute value of the difference. The difference is divided into several intervals according to the amplitude size. Each interval represents a different level of power compensation demand. After the interval division is completed, the inductive power difference is further classified according to the positive and negative states. The positive value is marked as power oversupply and the negative value is marked as power shortage signal. The analysis and classification of capacitive power difference is based on the capacitive power demand difference of each cycle. The amplitude distribution is calculated and the characteristic parameters of each interval are counted, including the distribution density and the amplitude center position. The interval characteristic data set is formed through feature classification. After the capacitive power difference data and the inductive power difference state data are comprehensively integrated, the power difference state data is obtained to provide accurate power compensation state feedback for the new static dynamic reactive power compensation device.

[0033] The voltage and phase adjustment submodule extracts the power shortage signal based on the power difference status data, normalizes it, and converts it into the SVG voltage amplitude adjustment signal and phase angle adjustment signal, matches the cycle and corrects the amplitude, integrates the parameters and time characteristics of the signal output, and obtains the SVG adjustment signal characteristics; The power shortage signal is extracted by filtering the negative difference part from the power difference status data. By normalizing different power shortage amplitudes, the amplitude of the shortage signal is proportionally mapped to the set adjustment range. The normalized shortage signal is converted into a voltage amplitude adjustment signal and a phase angle adjustment signal according to the dynamic adjustment requirements of SVG, wherein the voltage amplitude adjustment signal corresponds to the increment of the compensation voltage, and the phase angle adjustment signal corresponds to the phase correction of the compensation period. In the signal matching process, the time synchronization relationship of the adjustment signal is adjusted according to the periodic fluctuation characteristics of the power grid to ensure that the output of the voltage and phase signals remains periodically consistent. When correcting the signal amplitude, the adjustment signal amplitude is optimized according to the real-time power grid operation parameters so that the output signal amplitude can cover the compensation range of the shortage amplitude. When integrating the adjustment signal, the voltage adjustment signal and the phase angle adjustment signal are superimposed on the time axis to generate an SVG adjustment signal characteristic with time characteristics and dynamic response capabilities, which is used to guide the adjustment strategy of the new static dynamic reactive power compensation device.

[0034] The dynamic power correction submodule extracts the voltage adjustment signal and corrects the load power parameters based on the SVG adjustment signal characteristics and load operation status data, processes the phase angle signal and compensates the load cycle parameters, updates the load correction parameters and power distribution, and establishes real-time compensation matching results; The extraction of voltage adjustment signal is based on the dynamic adjustment result of voltage amplitude in SVG adjustment signal characteristic. By comparing with the actual voltage value in the load operation status data, the incremental voltage parameters required for correction are generated. The load power parameter correction recalculates the reactive power demand according to the voltage adjustment result, and corrects the power distribution range in the load operation status data to ensure that the compensation power can meet the current load demand. The processing of phase angle signal is based on the correction result of phase angle in SVG adjustment signal characteristic. By adjusting the load cycle parameters cycle by cycle, the operation cycle of the load is kept consistent with the compensation cycle. After the compensation is completed, the correction parameters are updated to the load operation status data in real time to form a real-time compensation matching result, which covers the corrected voltage adjustment signal, phase angle signal and compensated power distribution result, providing an efficient dynamic response basis for the new static dynamic reactive power compensation device.

[0035] Specifically, if Figure 2 , 6 As shown, the harmonic control module includes: The harmonic component extraction submodule extracts the frequency range of the grid output voltage signal and divides it into segments based on the real-time compensation matching results, calculates the amplitude and phase characteristics of the frequency signal, classifies and processes low-frequency and high-frequency harmonics and accumulates them, and obtains harmonic component characteristic data in combination with time series information; The extraction of harmonic components starts with the dynamic monitoring of the output voltage signal of the power grid. The signal is divided into frequency ranges through spectrum analysis tools and decomposed into multiple frequency bands corresponding to low-frequency, medium-frequency and high-frequency harmonic components. In each frequency band, the amplitude of the voltage signal is sampled and processed, and the mean of the amplitude of the sampling points is calculated as the frequency band amplitude characteristic. The phase characteristic of each frequency band is extracted by using the phase change law on the time axis and is used as an important indicator of harmonic characteristics. For low-frequency harmonic components, they are accumulated section by section to statistically calculate their contribution to the total harmonics. For high-frequency harmonic components, point-by-point smoothing is performed to eliminate the existing transient noise, and the harmonic amplitude of the high-frequency part is corrected and accumulated. When combined with time series information, the amplitude characteristics and phase characteristics of each frequency band are mapped to the time axis to form harmonic component characteristic data for real-time processing and adjustment of the new static dynamic reactive power compensation device.

[0036] The harmonic signal processing submodule extracts the total harmonic value based on the harmonic component characteristic data and compares it with the dynamic SVG voltage signal, marks the frequency band relationship that exceeds the amplitude, smoothes the high-frequency harmonic signal and adjusts the low-frequency harmonic periodic characteristics, and obtains the filter frequency adjustment characteristics in combination with the amplitude change; The calculation of the total harmonic value is completed by accumulating the amplitude information in the harmonic component characteristic data, and all frequency band amplitudes are superimposed according to the weighted principle to form a characteristic value reflecting the overall harmonic level. Through real-time comparison with the dynamic SVG voltage signal, the frequency points and their amplitude relationships that exceed the SVG voltage adjustment range in each frequency band are identified and marked, and the abnormal frequency band information is extracted. When smoothing the high-frequency harmonic signal, the signal amplitude of the high-frequency part is dynamically corrected through the weighted time series smoothing algorithm to eliminate the interference caused by sudden harmonic fluctuations and readjust the amplitude distribution law of high-frequency harmonics. For low-frequency harmonics, their frequency distribution is optimized through the periodic characteristic adjustment method so that they can match the periodic compensation strategy of dynamic SVG. Combined with the dynamic change characteristics of the harmonic amplitude, the filter frequency adjustment characteristics are formed to guide the dynamic adaptation of the harmonic control strategy and provide a harmonic control basis for the efficient operation of the new static dynamic reactive power compensation device.

[0037] The power correction submodule extracts the adjustment signal amplitude and matches the SVG output power based on the filter frequency adjustment characteristics, calculates the adjusted SVG output power, adjusts the output power periodic signal, processes the deviation from the load state, classifies the corrected power data in sections and reallocates the time parameters, and establishes the harmonic correction result; Calculate the adjusted SVG output power according to the formula: ; in, Indicates the adjusted SVG output power, Represents the power supply voltage, Represents the power supply current, represents the original phase difference, Represents the phase adjustment, represents the load impedance, represents the angular frequency, represents the inductive reactance of the load, represents compensation capacitance; Detailed explanation of the formula and calculation process: This formula is used to calculate the adjusted static VAR generator (SVG) output power, and the result is used to match the SVG output power with the load demand; : Power supply voltage, indicating the voltage level of the power grid or SVG module, measured by a voltage sensor, with a set value of 400V; : Power supply current, indicating the current demand of the load or SVG module, measured by the current sensor, with a set value of 50A; : Original phase difference, which indicates the initial phase difference between voltage and current, measured by a phase measurement device, with a set value of 30° (i.e., π / 6 radians); : Adjusting the phase is an adjustment parameter in the particle swarm optimization algorithm, which is used to optimize the phase difference to reduce power loss. According to the calculation of the optimization algorithm, the setting value is 5° (i.e., π / 36 radians); : Load impedance is the actual impedance between the power grid or SVG module and the load, measured by an impedance meter, and the set value is 8Ω; : Angular frequency, indicating the operating frequency of the power supply, measured by a frequency meter, with a set value of 2π×50rad / s (corresponding to a power supply frequency of 50Hz); : The inductive reactance of the load indicates the inductive component of the load, which is measured by an inductance meter and the set value is 0.1H; : Compensation capacitor, which is the capacitive component used in the SVG module to adjust and optimize the flow of current, is measured by a capacitance meter and is set to 100μF; Calculate the angular frequency: ; Calculate reactance: ; ; Calculate the impedance modulus: ; Calculate the denominator: ; because and ,therefore: ; ; Calculate the phase angle and cosine: ; ; Substitute into the formula to calculate the adjusted power: ; ; The calculated result is about 2045.57W, which represents the adjusted SVG output power. This result shows that by adjusting the phase difference through the particle swarm optimization algorithm, the SVG can output about 2045.57W of power to match the load demand and reduce power loss.

[0038] Specifically, if Figure 2 , 7 As shown, the dynamic energy storage support module includes: The energy storage signal extraction submodule extracts the SVG power signal based on the harmonic correction result and analyzes the time characteristics in segments, analyzes the power signal amplitude and phase, divides the remaining energy storage capacity signal interval, and marks the interval characteristics to obtain the energy storage dynamic difference characteristics; The energy storage signal is extracted by performing time-series segmentation processing on the SVG power signal generated in the harmonic correction result, grouping and analyzing the signal according to the set time interval, extracting the amplitude and phase characteristics of the power signal in each period, and the amplitude characteristics are accumulated and calculated by each period to generate a time-series amplitude distribution diagram of the SVG power signal. The phase characteristics are extracted by time difference analysis to extract the phase change range in each period. Combined with the real-time energy storage capacity monitoring data, multiple intervals are divided according to the remaining energy storage capacity, and the energy storage capacity characteristics in the interval are compared and analyzed with the amplitude characteristics of the SVG power signal section by section. For each interval, its remaining energy storage capacity characteristics are marked, including data such as the remaining energy storage, the current energy storage utilization rate and the capacity change trend. The dynamic difference relationship between the energy storage and the SVG power signal is further summarized to form the dynamic difference characteristics of energy storage, which provides an input basis for the subsequent energy storage management and optimization of the new static dynamic reactive power compensation device.

[0039] The energy storage capacity processing submodule extracts the energy storage release state and divides the cycle range based on the dynamic difference characteristics of energy storage, matches the release signal amplitude change with the dynamic difference characteristics, adjusts the release signal time series and converts it into an energy storage power output signal after correction, and generates the energy storage power output result; The extraction of energy storage release status analyzes the fluctuation trend of the remaining energy storage capacity from the dynamic difference characteristics, determines the current energy storage release status according to the change rate of the remaining energy storage, and divides the energy storage release cycle range in combination with the real-time power demand. In the process of energy storage release signal matching, the dynamic relationship between the energy storage release status and the change of the SVG power signal amplitude is used to extract the release signal amplitude of each time period, and match it with the energy storage dynamic difference point by point. According to the matching result, the time series of the release signal is adjusted, and the signal amplitude inconsistent with the time is corrected to a state synchronized with the SVG power signal. The corrected energy storage release signal is converted into an energy storage power output signal through time axis mapping. Combined with the dynamic output characteristics of the current energy storage device, the energy storage power output result that meets the current reactive power compensation demand is generated, providing signal support for the coordinated work of the energy storage device and SVG.

[0040] The power dynamic compensation submodule extracts the energy storage power signal and the SVG output power data based on the energy storage power output results, dynamically compares them, adjusts the power output time series of the two, corrects the total output power deviation, allocates the power and time series mapping, and establishes the optimized static synchronous compensator control scheme; The dynamic comparison between the energy storage power signal and the SVG output power data is carried out by real-time calculation of the power amplitude difference between the two in the same time series, extracting the deviation distribution data of the two, and classifying them into positive deviation and negative deviation. The positive deviation indicates that the SVG power output is higher than the energy storage power demand, and the SVG power output needs to be reduced. The negative deviation indicates that the energy storage power is insufficient, and the deviation needs to be compensated by increasing the SVG output. When adjusting the power output time series, the energy storage power signal is adjusted first to ensure that the energy storage release signal meets the safety range of equipment operation. At the same time, the SVG output power is corrected twice to synchronize the output signals of the two to the same time series. After correcting the total output power deviation, the total power distribution is mapped to the dynamic time axis according to the data characteristics of the segmented time series to form a new power and time allocation scheme. Combined with the actual load operation requirements, the optimized static synchronous compensator control scheme is established to provide a core basis for the new static dynamic reactive power compensation device to realize dynamic power allocation and optimization control.

[0041] See also Figure 8 The novel static dynamic reactive power compensation device control method is implemented based on the novel static dynamic reactive power compensation device, and comprises the following steps: S1: Based on the real-time detection of voltage amplitude, frequency offset and current phase, the voltage amplitude change rate in the time series is extracted, the change rate and frequency fluctuation are statistically calculated by period, the frequency fluctuation accumulation value is calculated, the current phase difference offset within the segment is extracted, the harmonic signal strength distribution value and the segment data accumulation result are statistically calculated, and the dynamic operation parameter set of the power grid is established; S2: Based on the set of dynamic operation parameters of the power grid, extract the voltage offset signal and frequency fluctuation signal within the cycle, separate the positive and negative deviation signals of the inductive reactive power and capacitive reactive power demand, decompose the cycle according to the time series, classify and accumulate the positive and negative deviation signals to the corresponding power demand, associate the accumulated results with the load time cycle data, and generate the reactive power demand decomposition result; S3: Based on the reactive power demand decomposition result, extract the inductive power difference signal and the capacitive power difference signal, convert the excess signal into the SVG phase angle adjustment signal, match the adjustment signal with the load operation status data item by item, correct the dynamic power data according to the difference signal, merge the corrected power signals, and generate real-time compensation matching results; S4: Based on the real-time compensation matching results, the total harmonic signal is extracted, the low-frequency and high-frequency harmonic signals are separated by frequency range and accumulated, the difference between the accumulated harmonic value and the SVG voltage amplitude signal is processed, the adjustment signal is used to correct the SVG power output signal, the difference between the corrected power output signal and the remaining energy storage capacity is extracted, and converted into an energy storage power output signal, and the optimized static synchronous compensator control scheme is constructed.

[0042] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A new type of static dynamic reactive power compensation device, characterized in that: The device comprises: The grid status monitoring module is based on the real-time detection of voltage amplitude, frequency offset and current phase, performs period segmentation of voltage amplitude change rate and frequency fluctuation, extracts current phase difference offset, superimposes harmonic signal intensity distribution, and obtains a set of grid dynamic operation parameters; The reactive power demand calculation module extracts the voltage offset signal and the frequency fluctuation signal based on the set of dynamic operation parameters of the power grid, performs periodic decomposition of the load reactive power, classifies and accumulates the inductive and capacitive power demands, and obtains the reactive power demand decomposition result; The compensation control execution module extracts the difference between inductive and capacitive power based on the reactive power demand decomposition result, processes the difference signal, adjusts the SVG voltage and phase, dynamically matches the load state, performs power correction, and generates a real-time compensation matching result; Based on the real-time compensation matching result, the harmonic control module extracts the grid output voltage signal, performs frequency calculation to separate the harmonic components, accumulates the harmonic values, processes the SVG voltage signal, converts it into a filter frequency adjustment signal, corrects the output power, and obtains the harmonic correction result; The dynamic energy storage support module processes the difference between the SVG power output signal and the remaining capacity based on the harmonic correction result, determines the energy storage release state, dynamically compensates the SVG output power, and obtains the optimized static synchronous compensator control scheme.

2. The novel static dynamic reactive power compensation device according to claim 1 is characterized in that: The set of dynamic operation parameters of the power grid includes the voltage amplitude change rate, frequency fluctuation, current phase offset, and harmonic intensity distribution. The reactive power demand decomposition result includes inductive power demand, capacitive power demand, positive deviation signal, and negative deviation signal. The real-time compensation matching result includes inductive power difference, capacitive power difference, SVG voltage amplitude adjustment signal, SVG phase angle adjustment signal, and power output correction result. The harmonic correction result includes total harmonic value, filter frequency adjustment signal, and SVG output power correction result. The static synchronous compensator control scheme includes energy storage power output signal, energy storage capacity release status, and SVG output power data.

3. The novel static dynamic reactive power compensation device according to claim 1 is characterized in that: The power grid status monitoring module comprises: The voltage fluctuation analysis submodule is based on the real-time detection of voltage amplitude, frequency offset and current phase, calculates the change amount of adjacent time points, divides the change rate by time period, accumulates the change amount of each period, extracts the fluctuation amplitude range, and obtains the voltage change period distribution characteristics; The frequency offset calculation submodule extracts the extreme points of each cycle in combination with the voltage variation period distribution characteristics, processes the fluctuation amplitudes in groups, and obtains frequency offset period characteristic data; The current phase difference processing submodule calculates and analyzes the phase difference cumulative weight value of the cycle based on the frequency offset period characteristic data, accumulates the calculation results, analyzes the relationship between the harmonic signal intensity distribution and the phase change, and establishes a set of dynamic operation parameters of the power grid.

4. The novel static dynamic reactive power compensation device according to claim 3 is characterized in that: Calculate the phase difference cumulative weight value of the analysis period according to the formula: ； in, Represents the cumulative weight value of the phase difference in the analysis period, represents the weight parameter associated with each period, Representative The phase difference value within a cycle is is the nonlinear adjustment coefficient, is the reference adjustment coefficient of frequency offset, Representative The frequency deviation value of each cycle is is the total number of cycles analyzed.

5. The novel static dynamic reactive power compensation device according to claim 1 is characterized in that: The reactive power demand calculation module comprises: The signal extraction submodule extracts the voltage offset signal amplitude and marks the time relationship based on the set of dynamic operation parameters of the power grid, counts the frequency fluctuation period characteristics, normalizes the signal range and combines the characteristics to obtain the offset and fluctuation signal characteristics; The demand decomposition submodule extracts the load inductive reactive power amplitude and performs segmented statistics based on the offset and fluctuation signal characteristics, extracts the capacitive reactive power amplitude interval and decomposes the periodic demand, classifies and sorts the positive and negative deviation signals, and generates the demand deviation signal distribution result; The power accumulation submodule accumulates the inductive power demand and summarizes the capacitive power demand based on the demand deviation signal distribution result, summarizes the difference between the two types of power and balances the parameters, analyzes the relationship between magnitude and time, and establishes the reactive power demand decomposition result.

6. The novel static dynamic reactive power compensation device according to claim 1 is characterized in that: The compensation control execution module includes: The power difference processing submodule extracts the inductive power difference and divides it into intervals based on the reactive power demand decomposition result, marks the positive and negative states and groups them, analyzes the capacitive power difference amplitude distribution and classifies the interval characteristics, and obtains the power difference state data; The voltage and phase adjustment submodule extracts the power shortage signal based on the power difference status data, normalizes it, converts it into the SVG voltage amplitude adjustment signal and the phase angle adjustment signal, matches the cycle and corrects the amplitude, integrates the parameters and time characteristics of the signal output, and obtains the SVG adjustment signal characteristics; The dynamic power correction submodule adjusts the signal characteristics of the SVG based on the load operation status data, extracts the voltage adjustment signal and corrects the load power parameters, processes the phase angle signal and compensates the load cycle parameters, updates the load correction parameters and power distribution, and establishes a real-time compensation matching result.

7. The novel static dynamic reactive power compensation device according to claim 1 is characterized in that: The harmonic control module includes: The harmonic component extraction submodule extracts the frequency range of the power grid output voltage signal and divides it into segments based on the real-time compensation matching result, calculates the amplitude and phase characteristics of the frequency signal, classifies and processes low-frequency and high-frequency harmonics and accumulates them, and obtains harmonic component characteristic data in combination with time series information; The harmonic signal processing submodule extracts the total harmonic value based on the harmonic component characteristic data and compares it with the dynamic SVG voltage signal, marks the frequency band relationship that exceeds the amplitude, smoothes the high-frequency harmonic signal and adjusts the low-frequency harmonic periodic characteristics, and obtains the filter frequency adjustment characteristics in combination with the amplitude change; The power correction submodule extracts the adjustment signal amplitude and matches the SVG output power based on the filter frequency adjustment characteristic, calculates the adjusted SVG output power, adjusts the output power periodic signal, processes the deviation from the load state, classifies the corrected power data in sections and reallocates the time parameters, and establishes the harmonic correction result.

8. The novel static dynamic reactive power compensation device according to claim 7 is characterized in that: The adjusted SVG output power is calculated according to the formula: ； in, Indicates the adjusted SVG output power, Represents the power supply voltage, Represents the power supply current, represents the original phase difference, Represents the phase adjustment, represents the load impedance, represents the angular frequency, represents the inductive reactance of the load, Represents compensation capacitor.

9. The novel static dynamic reactive power compensation device according to claim 1 is characterized in that: The dynamic energy storage support module comprises: The energy storage signal extraction submodule extracts the SVG power signal based on the harmonic correction result and analyzes the time characteristics in segments, analyzes the power signal amplitude and phase, divides the remaining energy storage capacity signal interval, and marks the interval characteristics to obtain the energy storage dynamic difference characteristics; The energy storage capacity processing submodule extracts the energy storage release state and divides the cycle range based on the energy storage dynamic difference characteristics, matches the release signal amplitude change with the dynamic difference characteristics, adjusts the release signal time series and converts it into an energy storage power output signal after correction, and generates an energy storage power output result; Based on the energy storage power output result, the power dynamic compensation submodule extracts the energy storage power signal and the SVG output power data and dynamically compares them, adjusts the power output time series of the two, corrects the total output power deviation and allocates the power and time series mapping, and establishes the optimized static synchronous compensator control scheme.

10. A novel static dynamic reactive power compensation device control method, characterized in that: The novel static dynamic reactive power compensation device according to any one of claims 1 to 9 comprises the following steps: Based on the real-time detection of voltage amplitude, frequency offset and current phase, the voltage amplitude change rate in the time series is extracted, the change rate and frequency fluctuation are statistically calculated by period, the accumulated value of frequency fluctuation is calculated, the current phase difference offset within the segment is extracted, the harmonic signal strength distribution value and the accumulated result of segment data are statistically calculated, and a set of dynamic operation parameters of the power grid is established; Based on the set of dynamic operation parameters of the power grid, extract the voltage offset signal and the frequency fluctuation signal within the cycle, separate the positive and negative deviation signals of the inductive reactive power and capacitive reactive power demand, decompose the cycle according to the time series, classify and accumulate the positive and negative deviation signals to the corresponding power demand, associate the accumulated results with the load time cycle data, and generate the reactive power demand decomposition result; Based on the reactive power demand decomposition result, extract the inductive power difference signal and the capacitive power difference signal, convert the excess signal into the SVG phase angle adjustment signal, match the adjustment signal with the load operation status data item by item, correct the dynamic power data according to the difference signal, merge the corrected power signals, and generate a real-time compensation matching result; Based on the real-time compensation matching result, the total harmonic signal is extracted, the low-frequency and high-frequency harmonic signals are separated according to the frequency range and accumulated, the difference between the accumulated harmonic value and the SVG voltage amplitude signal is processed, the adjustment signal is used to correct the SVG power output signal, the difference between the corrected power output signal and the remaining energy storage capacity is extracted and converted into an energy storage power output signal, and a control scheme for the optimized static synchronous compensator is constructed.

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