System stability evaluation method for power distribution network access, medium and system

Abstract

The invention discloses a power distribution network access system stability evaluation method, medium and system, and the method comprises the steps: carrying out the access feature clustering of different modules of different types of software programs and hardware equipment of a power distribution network, obtaining the system stability evaluation stage of the software programs and the hardware equipment, and sorting the access region position and time. Acquiring a compatibility coefficient distribution matrix accessed to different unit times, and calculating to obtain a visual monitoring interface for abnormal ranges of different power supply groups accessed to different unit times; obtaining a comparison table of peak current in different stages during access, and calculating to obtain a visual monitoring interface of abnormal ranges of different power supply groups during access; and determining the abnormal range of the influence on the access of each of the paired different types of software programs and hardware equipment and the operation procedures of people and objects during access when the software programs and the hardware equipment are accessed, and screening. According to the invention, the access accuracy of corresponding modules of different types of software programs and hardware equipment is ensured.

Description

Technical Field

[0001] The present invention relates to the field of module access corresponding to different types of software programs and hardware devices, and in particular to a method, medium and system for evaluating the system stability of distribution network access. Background Art

[0002] The stability assessment of the distribution network access system is an important part of the power system research. With the increase of new energy access and the increase of the complexity of the distribution network, how to scientifically evaluate the stability of the access system has become a key issue. At present, the distribution network stability assessment method is usually based on large-scale simulation and mathematical modeling technology, combined with electrical equipment parameters and operating data, and through a comprehensive analysis of indicators such as voltage stability, frequency stability and power fluctuations to evaluate the stability of the system under different operating conditions. These methods mainly rely on existing power system models and data analysis tools, but they have obvious shortcomings in complex power grids.

[0003] Existing technologies mainly focus on qualitative analysis and macro-modeling of power grid parameters, but lack systematic analysis of different types of software programs, hardware devices, and compatibility data between them. For example, in the process of distribution network access, multiple systems such as power control software, monitoring systems, and protection devices work together, but existing evaluation methods do not fully consider the interaction and compatibility between these systems. Differences in communication protocols, data transmission delays, and control strategies between different devices may affect the stability of the access system, which is often overlooked in traditional evaluation methods.

[0004] Due to the lack of comprehensive analysis of the factors affecting stability during the access process, the existing methods lead to inaccurate system stability assessment, low safety, and a high risk of short circuit or open circuit. For example, errors or delays in data interaction between devices may cause relay protection failure, or abnormal voltage or frequency fluctuations caused by control strategy conflicts. In addition, the existing methods do not adequately assess the responsiveness to dynamic load changes and fluctuations in new energy sources, further reducing the stability of the system. In order to more accurately evaluate the stability of distribution network access, a new method that comprehensively considers software and hardware compatibility and the synergy of multiple devices is urgently needed to improve the safety and reliability of the system. Summary of the invention

[0005] The object of the present invention is to provide a method, medium and system for evaluating the system stability of distribution network access. The method and system calculate two evaluation objects in each data evaluation period separately, and then perform abnormal range distribution data jump interception according to the respective calculation results, screen whether there are high-order harmonics in the data evaluation period according to the abnormal range distribution data jump interception interval, and perform voltage stabilization operation on the data collected in the data evaluation period in advance to reduce the high-order harmonics calculated subsequently, thereby ensuring the accuracy of access to corresponding modules of different categories of software programs and hardware devices.

[0006] In a first aspect, a method for evaluating the system stability of distribution network access comprises the following steps: clustering the access features of different modules of different categories of software programs and hardware devices of the distribution network to obtain the system stability evaluation stage of software programs and hardware devices and the access area location and time sorting steps, wherein the system stability evaluation stage of software programs and hardware devices is used to evaluate the load fluctuation and harmonic anomaly per unit time of software programs and hardware devices of modules corresponding to different categories of software programs and hardware devices, and the access area location and time sorting steps are used to perform detailed process clustering from access preparation to access completion of modules corresponding to different categories of software programs and hardware devices; obtaining all different categories of software programs and hardware devices in the system stability evaluation stage of software programs and hardware devices, and determining the compatibility data of all different categories of software programs and hardware devices with access software programs and hardware devices to form a distribution matrix of compatibility coefficients for access at different unit times, and calculating the abnormal range of the impact of different compatibility data on access in the distribution matrix of compatibility coefficients for access at different unit times, and obtaining a visual monitoring interface for abnormal ranges of different power supply groups for access at different unit times; obtaining all persons and their objects within the access area location and time sorting steps The operation procedures at the time of access are determined, and the operation procedure arrangement data of all persons and their objects at the time of access are determined, a comparison table of peak currents at different stages at the time of access is formed, and the abnormal range of access affected by the operation procedure arrangement data of each person and their objects at the time of access in the comparison table of peak currents at different stages at the time of access is calculated, and a visual monitoring interface of abnormal ranges of different power supply groups at the time of access is obtained; the operation procedures of people and their objects at the time of access are matched with different categories of software programs, hardware devices and access software programs and hardware devices through access characteristic voltage and current change parameters, and the operation procedures of people and their objects at the time of access of the paired different categories of software programs, hardware devices and access software programs and hardware devices are determined to determine their respective abnormal ranges of access impact and screen them; if the abnormal range area of ​​different categories of software programs, hardware devices and access software programs and hardware devices in the visual monitoring interface of abnormal ranges of different power supply groups at different unit times of access is the same as the abnormal range area of ​​the operation procedures of people and their objects at the time of access in the visual monitoring interface of abnormal ranges of different power supply groups at the time of access, then the operation procedures of the different categories of software programs, hardware devices and access software programs, hardware devices and the person and their objects at the time of access are taken as the access load fluctuation abnormal period.

[0007] In an optional implementation manner, different categories of software programs, hardware devices and access software programs and hardware devices as access time periods are calibrated as access time periods for data evaluation in different unit times, and system short-circuit / open-circuit position identifiers for software programs and hardware devices of different different categories are established for accessing software programs and hardware devices of different unit times. The access position of the distribution line for accessing data evaluation in different unit times is determined by the system short-circuit / open-circuit position identifiers for accessing software programs and hardware devices of different unit times, and data jump interception is performed on all data evaluation positions for accessing distribution lines for different unit times and data evaluated for accessing data evaluation time periods for different unit times. Screen whether to use the data evaluation period of different access unit time as the access load fluctuation abnormal period according to the data jump interception interval; mark the operation process of people and things during the access period as the access data evaluation period, and use the operation process of all people and things during the access to establish the short-circuit / open position identification of the access operation process system; determine the access distribution line evaluation position of the access data evaluation period through the short-circuit / open position identification of the access operation process system; perform data jump interception on all access distribution line evaluation positions and the data evaluated in the access data evaluation period, and screen whether to use the access data evaluation period as the access load fluctuation abnormal period according to the data jump interception interval.

[0008] In an optional implementation, data jump interception includes the following steps: determining a collection method for compatibility data, wherein the collection method includes sensor collection and engineer counting statistics; determining the distribution between different software programs and hardware devices in the collection method, calculating the dynamic visualization monitoring interface of the distribution of different software programs and hardware devices in the collection method of the corresponding distribution line evaluation position and the distribution of different software programs and hardware devices in the collection method of the corresponding data evaluation period, obtaining the fault change situation of all dynamic visualization monitoring interfaces, and using the fault change situation to calculate the data jump interception interval between the corresponding distribution line evaluation position and the corresponding data evaluation period.

[0009] In an optional implementation manner, before obtaining the fault changes of all dynamic visual monitoring interfaces, the following steps are also included: classifying all dynamic visual monitoring interfaces according to fault levels to obtain classification results; setting initial coefficients for different software programs and hardware devices in the classification results, and then using the corresponding system short circuit / open circuit position identifier to set a high-order harmonic suppression coefficient on each initial coefficient to obtain high-order harmonic suppression results in different time periods, and determining the dynamic visual monitoring interface corresponding to the high-order harmonic suppression results that meet a preset number in the high-order harmonic suppression results in different time periods to proceed to subsequent steps.

[0010] In an optional implementation, the high-order harmonic suppression result corresponding to the data desensitized abnormal dynamic visual monitoring interface is determined when a preset number of high-order harmonic suppression results are met, wherein the abnormal dynamic visual monitoring interface is obtained by performing high-order harmonic analysis on all dynamic visual monitoring interfaces.

[0011] In an optional implementation manner, after determining the evaluation position of the distribution line accessing different unit times during the data evaluation period of different unit times by accessing different unit times software programs and hardware equipment system short-circuit / open-circuit position identifiers, the following steps are also included: obtaining the degree of correlation between the data evaluation period of different unit times and the evaluation position of the distribution line accessing different unit times; and performing voltage stabilization operation on the evaluation position of the distribution line accessing different unit times whose correlation degree is greater than the initial preset safety limit interval.

[0012] In an optional implementation, performing voltage stabilization operation on evaluation positions of distribution lines accessed at different unit times whose correlation degree is greater than an initial preset safety limit interval also includes the following steps: determining the time period parameter between the evaluation positions of distribution lines accessed at different unit times and data evaluation periods accessed at different unit times by means of software programs accessed at different unit times and short-circuit / open-circuit position identifiers of hardware equipment systems; if the parameter is greater than or equal to the adjusted preset safety limit interval, data desensitization is performed on the evaluation positions of distribution lines accessed at different unit times and data evaluation periods accessed at different unit times, as a boundary condition for data jump interception during data evaluation periods accessed at different unit times.

[0013] In an optional implementation, relevant higher harmonic coefficients are set for the evaluation positions of the distribution lines accessed at different unit times for data desensitization, and the relevant higher harmonic coefficients are used as calculation boundary conditions for substituting into the evaluation positions of the distribution lines accessed at different unit times for data jump interception.

[0014] A second aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores program instructions, and when the program instructions are executed, they are used to execute the above-mentioned system stability assessment method for distribution network access.

[0015] A third aspect of the present invention provides a system stability assessment system for distribution network access, which includes the above-mentioned computer-readable storage medium.

[0016] Beneficial effects:

[0017] A method, medium and system for evaluating the system stability of distribution network access provided by an embodiment of the present invention is comprehensive and systematic: the evaluation method comprehensively considers different types of software programs, hardware devices and their compatibility data, and systematically analyzes the stability influencing factors in the access process by constructing a matrix model. The present invention is accurate: it can perform detailed analysis on the load fluctuation, peak current and abnormal range of different units during access, and provide accurate abnormal range comparison and abnormal range cumulative area evaluation. The present invention has visualization support: by constructing an abnormal range visualization monitoring interface, the stability evaluation results of different access units are displayed in real time and intuitively, which is convenient for problem location and decision optimization. The present invention is flexible: by using current change parameters and compatibility data of different software and hardware, it adapts to the access requirements in different scenarios, thereby improving the applicability and expansibility of the system. Targeted abnormality detection: for the abnormal load fluctuation period, it can provide clear classification of operation procedures and division of load fluctuation responsibilities, which is convenient for subsequent improvement and optimization. Thereby ensuring the accuracy of the access of corresponding modules of different types of software programs and hardware devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 is a flow chart of the method steps of the present invention;

[0020] Figure 2 It is a unit composition diagram of the system of the present invention. DETAILED DESCRIPTION

[0021] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application may be combined with each other. The present application is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0022] like Figure 1 As shown, this embodiment provides a method for evaluating the system stability of a distribution network access, including the following steps:

[0023] Step S100: clustering the access features of different modules of different types of software programs and hardware devices in the distribution network to obtain the system stability assessment stages of software programs and hardware devices and the access area locations and time sorting steps;

[0024] Specifically, the software program and hardware device system stability evaluation stage is used to evaluate the load fluctuation and harmonic anomaly per unit time of the software programs and hardware devices of the modules corresponding to different categories of software programs and hardware devices, and the access area location and time sorting step is used to perform detailed process clustering from access preparation to access completion of the modules corresponding to different categories of software programs and hardware devices. Specifically, this step determines the different categories of software programs and hardware devices of the distribution network. The different categories of software programs and hardware devices of the distribution network are mainly configured with two evaluation functions from access preparation to access completion and software programs and hardware devices, which are implemented by multiple data evaluation periods arranged in the different categories of software programs and hardware devices of the distribution network. Each data evaluation period will perform a synchronous evaluation from access preparation to access completion and software programs and hardware devices at the corresponding point. Considering that the probability of normal or abnormal evaluation from access preparation to access completion and software program and hardware device evaluation in the same data evaluation period is greater, and the probability of abnormality of only one of them is smaller, the compatibility data of the two functions corresponding to each data evaluation period is separately extracted for longitudinal data jump interception, which can further screen whether there is a possibility of abnormal evaluation in the data evaluation period. That is, the access characteristics of different modules of different types of software programs and hardware devices in the distribution network are clustered into software program and hardware device system stability assessment stages and access area locations and time sorting steps to facilitate subsequent longitudinal data jump interception.

[0025] Step S200: Integrate all different categories of software programs and hardware devices in the software program and hardware device system stability assessment phase, and determine the compatibility data of all the different categories of software programs and hardware devices with the access software programs and hardware devices, to form a compatibility coefficient distribution matrix for access at different unit times, and calculate the abnormal range of the impact of different compatibility data in the compatibility coefficient distribution matrix for access at different unit times, and obtain a visual monitoring interface for the abnormal range of access to different power supply groups at different unit times.

[0026] Specifically, this step uses the abnormal range of compatibility data's impact on access to achieve the above-mentioned vertical data jump interception. Since this step does not know whether there is a possibility of abnormal evaluation during the data evaluation period, it is necessary to present and analyze the compatibility data of all different types of software programs, hardware devices and access software programs and hardware devices. Similarly, the same processing measures are taken for the operation procedures of people and their objects during access.

[0027] Step S300: Obtain the operation procedures of all persons and objects within the access area location and time sorting steps when accessing, and determine the operation procedure scheduling data of all persons and objects when accessing, constitute a comparison table of peak currents at different stages during access, and calculate the abnormal range of access affected by the operation procedure scheduling data of each person and object within the comparison table of peak currents at different stages during access, obtain a visual monitoring interface for the abnormal range of different power supply groups during access; present and analyze the operation procedure scheduling data of all persons and objects when accessing.

[0028] Specifically, by accessing the visualization monitoring interface of the abnormal range of different power supply groups at different unit times and presenting the visualization monitoring interface of the abnormal range of different power supply groups when connected, it is possible to find the data jump interception of the two functional evaluations in the same data evaluation period and the two functional evaluations in other data evaluation periods. If the distribution trends of the abnormal ranges of the compatibility data of the two functions in the same data evaluation period are the same, it means that the compatibility data of the two functions are accurate or correct from the perspective of the data evaluation period.

[0029] Step S400: Match the operating procedures of the different types of software programs, hardware devices and the people and their objects when they are connected by access characteristic voltage and current change parameters, and determine the abnormal range of the impact on access of the paired different types of software programs, hardware devices and the operating procedures of the people and their objects when they are connected, and perform screening.

[0030] Specifically, the access characteristic voltage and current change parameters mainly refer to the situation that they belong to the same configuration responsible entity. In practice, software programs, hardware equipment, and the assessment from access preparation to access completion may be performed at different assessment locations, but the different assessment locations are all under the supervision and responsibility of the same entity. It is necessary to combine the corresponding separate software programs, hardware equipment of different categories with the operating procedures of people and objects when accessing the software programs and hardware equipment to perform the above-mentioned longitudinal data jump interception, especially based on the abnormal range of the impact on the access and conduct screening.

[0031] Step S500: If the abnormal range areas of the different categories of software programs, hardware devices and access software programs, hardware devices in the abnormal range visualization monitoring interface of different power supply groups at different unit times are the same as the abnormal range areas of the operating procedures of the person and the object when accessed in the abnormal range visualization monitoring interface of different power supply groups when accessed, then the different categories of software programs, hardware devices and access software programs, hardware devices and the operating procedures of the person and the object when accessed are regarded as the access load fluctuation abnormal period.

[0032] Specifically, if this step matches different categories of software programs, hardware devices and the operating procedures of access software programs, hardware devices, people and their objects when they are accessed at the same evaluation position, and their abnormal range distribution trends in their respective abnormal range distribution trend diagrams are the same or approximately the same, then it can be determined that they are preliminarily screened as points that may belong to normal and accurately collect data, and if their respective abnormal range distribution trends are very different, they can be screened as abnormal evaluation positions, and the data uploaded by them are then stabilized to achieve the purpose of further reducing high-order harmonics of the data.

[0033] Through the above technical solution, only the compatibility data of the evaluation position with a high probability of abnormality is stabilized from the perspective of preliminary screening, and the reserved evaluation position may also have abnormal evaluation. However, compared with the method of averaging the compatibility data of all evaluation positions, the high-order harmonics are smaller and the data acquisition is more reliable. In some embodiments, in order to further analyze the reserved evaluation position, the purpose of further screening whether the evaluation position is abnormal is achieved.

[0034] Step S600: by establishing a system short circuit / open circuit position identifier, finding the distribution line evaluation position to perform data jump interception, so as to further screen the operation procedures of different categories of software programs, hardware devices and access software programs, hardware devices and people and their objects when they are accessed.

[0035] Specifically: different categories of software programs, hardware devices and access software programs and hardware devices as access time periods are marked as access time periods for data evaluation in different unit times; all the different categories of software programs, hardware devices and access software programs and hardware devices are used to establish system short-circuit / open circuit position identifiers for accessing software programs and hardware devices in different unit times; the system short-circuit / open circuit position identifiers for accessing software programs and hardware devices in different unit times are used to determine the access time period for data evaluation in different unit times for distribution line evaluation; all the access time distribution line evaluation positions for different unit times and the data evaluated in the access time period for data evaluation in different unit times are subjected to data jump interception; and according to the data The jump interception interval screening determines whether the access data evaluation period of different unit time is used as the access load fluctuation abnormal period; the operation process of the person and the object at the time of access as the access period is marked as the access data evaluation period, and the operation process of all the people and the object at the time of access is used to establish the short-circuit / open circuit position identification of the access operation process system; the short-circuit / open circuit position identification of the access operation process system is used to determine the access distribution line evaluation position of the access data evaluation period; all the access distribution line evaluation positions and the data evaluated in the access data evaluation period are subjected to data jump interception, and whether the access data evaluation period is used as the access load fluctuation abnormal period according to the data jump interception interval screening.

[0036] The data evaluation period corresponding to the access period may have two evaluation functions that are normal or abnormal at the same time. In order to further identify them, further longitudinal data jump interception is adopted. Taking different categories of software programs, hardware devices and access software programs and hardware devices as access time periods as an example, they are marked as access data evaluation time periods of different unit times, and a topological relationship is established between the access data evaluation time period of different unit times and the remaining different categories of software programs, hardware devices and access software programs and hardware devices, and a system short-circuit / open circuit position identifier of the access software programs and hardware devices of different unit times is obtained. The remaining different categories of software programs, hardware devices and access software programs and hardware devices directly associated with the access data evaluation time period of different unit times are found through the system short-circuit / open circuit position identifier of the access software programs and hardware devices of different unit times and used as the access distribution line evaluation position of different unit times. The software programs and hardware device data of one or more access distribution line evaluation positions of different unit times are intercepted with the software programs and hardware device data of the access data evaluation time period of different unit times. The data jump is intercepted by using the direct association, that is, the two evaluation positions that are directly connected in the actual underground environment. The data collection of the access data evaluation time period of different unit times is further identified whether it is normal through the connectivity principle that the software program and hardware device data theoretically remain the same. The data evaluation period during access is handled in the same way and will not be elaborated here.

[0037] By performing the above-mentioned longitudinal data jump interception of the data for the data evaluation period with different unit times accessed separately or the data evaluation period with access time, or performing the longitudinal data jump interception of the data for both at the same time, it is possible to further identify whether the data evaluation period with different unit times accessed or the data evaluation period with access time is evaluated abnormally, thereby screening whether it can be used as a period of abnormal load fluctuation access. For example, if it is found that the data similarity between one of the data evaluation periods with different unit times accessed and the data evaluation positions of multiple distribution lines with different unit times accessed is low, the compatibility data of the data evaluation period with different unit times accessed will be excluded to ensure that the data source for subsequent analysis has further reliability.

[0038] In this embodiment, data jump interception is mainly performed through smaller or finer indicators for differential analysis, and the data jump interception includes the following steps:

[0039] Determine the method for collecting compatibility data, where the collection method includes sensor collection and engineer counting statistics; this step indicates determining the method for obtaining the compatibility data of the corresponding distribution line assessment position (the distribution line assessment position at different unit times of access or the distribution line assessment position at the time of access) and the corresponding data evaluation period (the data evaluation period at different unit times of access or the data evaluation period at the time of access), and there are mainly two related methods, namely sensor collection and engineer counting statistics.

[0040] Determine the distribution of different software programs and hardware devices in the acquisition method, calculate the dynamic visualization monitoring interface of the distribution of different software programs and hardware devices in the acquisition method of the corresponding distribution line evaluation position and the distribution of different software programs and hardware devices in the acquisition method of the corresponding data evaluation period; this step represents the use of the compatibility data sub-items between the corresponding distribution line evaluation position and the corresponding data evaluation period to perform data jump interception, and further find the specific similarity evaluation indicator data jump interception situation, in which the principle of expressing the high and low similarity in the form of the distance between the corresponding data is used to further obtain the screening results of whether there is an abnormal evaluation in the corresponding data evaluation period. Thus, step B4 is carried out: obtain the fault change situation of all dynamic visualization monitoring interfaces, and use the fault change situation to calculate the data jump interception interval between the corresponding distribution line evaluation position and the corresponding data evaluation period. This step means observing and analyzing all dynamic visual monitoring interfaces, selecting the median using the concentration, and then using the median selected by the concentration to screen the similarity. For example, if the dynamic visual monitoring interface represented by the median is greater than 1, it means that the similarity is not high, otherwise it means that the similarity is acceptable, so that the corresponding data evaluation period is used as the access period.

[0041] Based on the boundary conditions of the above technical solution, the following steps are also included before obtaining the fault changes of all dynamic visual monitoring interfaces:

[0042] All dynamic visual monitoring interfaces are classified according to the fault level to obtain the classification results; the initial coefficients are set for different software programs and hardware devices in the classification results, and then the high-order harmonic suppression coefficients are set on each of the initial coefficients using the corresponding system short circuit / open circuit position identifiers, which means that it is necessary to perform comprehensive assignments based on the distance between the system short circuit / open circuit position identifier time periods to obtain the high-order harmonic suppression results for different time periods, and determine the dynamic visual monitoring interface corresponding to the high-order harmonic suppression results that meet the preset number among the multiple high-order harmonic suppression results to proceed to the subsequent steps. This step means that when calculating the concentration of the dynamic visual monitoring interface, it is necessary to consider the number of time periods between the corresponding distribution line evaluation position and the data evaluation time period. The number of time periods is obtained by the corresponding system short circuit / open circuit position identifier. If the number of time periods is larger, the higher the high-order harmonic suppression coefficient is. The difference of the high-order harmonic suppression coefficient is merged with the initial coefficient, so that the obtained high-order harmonic suppression result is closer to the actual situation. Among them, the relationship between the high-order harmonic suppression coefficient and the initial coefficient can be obtained through a theoretical model formed by using historical data, or it can be set through experience. However, if a large dynamic visualization monitoring interface appears in the final high-order harmonic suppression result, it will be excluded as an abnormal point to ensure a higher accuracy of the concentration calculation.

[0043] It should be noted that, based on the boundary conditions of the above scheme, there may be a real and correct dynamic visualization monitoring interface in the abnormal dynamic visualization monitoring interface under voltage stabilization operation, and its data needs to be desensitized in the concentration measurement process to obtain more objective and reasonable boundary conditions for constructing data jump interception, that is, to determine the high-order harmonic suppression result corresponding to the data desensitized abnormal dynamic visualization monitoring interface when the preset number of high-order harmonic suppression results are met, wherein the abnormal dynamic visualization monitoring interface is obtained by performing high-order harmonic analysis on all dynamic visualization monitoring interfaces. By analyzing all dynamic visualization monitoring interfaces through high-order harmonics, the value of the dynamic visualization monitoring interface is used as the horizontal coordinate, and the corresponding time period distance position is used as the vertical coordinate for high-order harmonic analysis to find the abnormal dynamic visualization monitoring interface. If the value of the abnormal dynamic visualization monitoring interface is large, but the time period, that is, the coordinate is close to the corresponding data evaluation time period, and the time period position is determined by the high-order harmonic analysis curve, it can be used as the data desensitization object.

[0044] In the actual data jump interception calculation, there will be situations where there are different boundary conditions between adjacent time periods, especially for software programs and hardware equipment data. In a geographical environment with certain faults or related high-order harmonics between the two time periods, the software programs and hardware equipment data of the two cannot calculate the similarity of compatibility data through the connectivity principle. At this time, the following steps are also required, that is, after determining the access to the different unit time data evaluation period through the short circuit / open circuit position identification of the software program and hardware equipment system of the different unit time, the following steps are also included: obtaining the degree of correlation between the access to the different unit time data evaluation period and the access to the different unit time distribution line evaluation position; performing voltage stabilization operation on the access to the different unit time distribution line evaluation position whose correlation degree is greater than the initial preset safety limit interval. This step represents the voltage stabilization operation of the distribution line evaluation location connected to different unit times, where the related high-order harmonics are relatively large between the evaluation positions of the distribution lines connected to different unit times and the evaluation periods of the data connected to different unit times. It will not be used as the boundary condition for the subsequent data jump interception, ensuring the load fluctuation and harmonic anomalies of the data analysis. The initial preset safety limit interval is predetermined and can be taken as small enough while ensuring the calculation accuracy.

[0045] In terms of the boundary conditions of the above technical solutions, once all the evaluation positions of the distribution lines accessed at different unit times are greater than the initial preset safety limit interval, there will be too few samples of the evaluation positions of the distribution lines accessed at different unit times, which is not conducive to comprehensively obtaining a more reasonable data jump interception interval. That is, the evaluation positions of the distribution lines accessed at different unit times that may cause greater high-order harmonics in the compatibility data due to related high-order harmonics can be subjected to voltage stabilization operations, and the rest are subjected to data desensitization. Then, the voltage stabilization operation of the evaluation positions of the distribution lines accessed at different unit times with a correlation greater than the initial preset safety limit interval also includes the following steps: using the short-circuit / open-circuit position identifier of the software program and hardware device system for accessing different unit times to determine the time period parameter between the evaluation position of the distribution lines accessed at different unit times that is subjected to voltage stabilization operation and the data evaluation period of accessing different unit times, if the parameter is less than or equal to the preset safety limit interval, the evaluation position of the distribution lines accessed at different unit times that is subjected to voltage stabilization operation is subjected to data desensitization, as a boundary condition for data jump interception of the data evaluation period of accessing different unit times.

[0046] This step means that the data of the distribution line assessment positions with access to different unit times that are far away but have reasonable related high-order harmonics are desensitized, and the distribution line assessment positions with access to different unit times that are close in time but have relatively serious related high-order harmonics are kept in steady voltage operation. The preset safety limit interval for adjustment is also predetermined, and the value can be large enough while ensuring that the calculation meets the limit. In terms of the boundary conditions of this scheme, in order to further obtain more accurate data calculation boundary conditions, the data desensitized distribution line assessment positions with access to different unit times are set with relevant high-order harmonic coefficients, and the relevant high-order harmonic coefficients are used as the calculation boundary conditions for data jump interception by substituting the data into the distribution line assessment positions with access to different unit times. That is, it means that the relevant high-order harmonic coefficients are converted into relevant high-order harmonic coefficients from reasonable related high-order harmonics, which are substituted as the abnormal range and set in the dynamic visualization monitoring interface, so as to have more reliable and reasonable data calculation boundary conditions when performing data jump interception calculations.

[0047] A second aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores program instructions, and when the program instructions are executed, they are used to execute the above-mentioned system stability assessment method for distribution network access.

[0048] A third aspect of the present invention provides a distribution network access system stability assessment system having a processor and including the above-mentioned computer-readable storage medium.

[0049] like Figure 2 As shown, a modular schematic diagram of a system stability assessment system for distribution network access is mainly used to cluster functional modules of a system stability assessment system for distribution network access according to an embodiment of the above method. For example, each functional module can be clustered, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the clustering of modules in the present invention is schematic, which is only a logical function clustering, and there may be other clustering methods in actual implementation. For example, in the case of clustering each functional module corresponding to each function, the system stability assessment system for distribution network access may include an access feature clustering unit, an access abnormal range calculation unit for different unit times, an access abnormal range calculation unit, an access impact screening unit, and an access load fluctuation abnormal time period determination unit. The functions of each unit module are explained below.

[0050] An access feature clustering unit, which is used to perform access feature clustering of different modules of different categories of software programs and hardware devices in the distribution network, and obtain the software program and hardware device system stability evaluation stage and the access area location and time sorting step, wherein the software program and hardware device system stability evaluation stage is used to perform load fluctuation and harmonic anomaly evaluation per unit time on the software programs and hardware devices of the modules corresponding to different categories of software programs and hardware devices, and the access area location and time sorting step is used to perform detailed process clustering from access preparation to access completion of the modules corresponding to different categories of software programs and hardware devices; an access different unit time abnormal range calculation unit, which is used to integrate all different categories of software programs and hardware devices in the software program and hardware device system stability evaluation stage, and determine the compatibility data of all different categories of software programs and hardware devices with the access software programs and hardware devices, to form a compatibility coefficient distribution matrix for access different unit times, and calculate the abnormal range of the impact of different compatibility data on access in the access different unit time compatibility coefficient distribution matrix, and obtain a visual monitoring interface for abnormal range of different power supply groups for access different unit times; an access abnormal range calculation unit, which is used to obtain all people within the access area location and time sorting step and the operation procedures of the persons and their objects when they are connected, and determine the operation procedure arrangement data of all the persons and their objects when they are connected, form a comparison table of peak currents at different stages when connected, and calculate the abnormal range of the access affected by the operation procedure arrangement data of each person and their objects in the comparison table of peak currents at different stages when connected, and obtain a visual monitoring interface of the abnormal range of different power supply groups when connected; an access impact screening unit, which is used to match the different categories of software programs, hardware devices and the operation procedures of the persons and their objects when they are connected through access characteristic voltage and current change parameters, and match the paired different categories of software programs, hardware devices and the persons and their objects The operation procedures of the objects when they are connected determine the respective abnormal ranges of their impact on the access and perform screening; a unit for determining the abnormal time period of access load fluctuation, which is used to determine the abnormal range of access impact of the different categories of software programs, hardware devices and the access software programs, hardware devices when they are connected to different power supply groups at different unit times if the abnormal range areas in the visual monitoring interface of the abnormal ranges of the different categories of software programs, hardware devices and the access software programs, hardware devices when they are connected are the same as the abnormal range areas in the visual monitoring interface of the abnormal ranges of the different power supply groups when the operation procedures of the people and their objects when they are connected are the same as the abnormal range areas in the visual monitoring interface of the abnormal ranges of the different power supply groups when they are connected.

[0051] In some embodiments, the system stability assessment system for distribution network access also includes an access load fluctuation abnormal time period screening unit, which is used to mark different categories of software programs, hardware devices and access software programs and hardware devices as access time periods as access different unit time data assessment periods, and use all the different categories of software programs, hardware devices and access software programs and hardware devices to establish access to different unit time software programs and hardware device system short-circuit / open circuit position identifiers, use the access to different unit time software programs and hardware device system short-circuit / open circuit position identifiers to determine the access to different unit time distribution line assessment positions for the access to different unit time data assessment periods, and compare all the access to different unit time distribution line assessment positions with the access to different unit time data assessment periods. The data evaluated in the evaluation period is intercepted by data jump, and whether the data evaluation period of different access unit time is used as the access load fluctuation abnormal period is screened according to the data jump interception interval; the operation process of the person and the object at the time of access as the access period is marked as the access data evaluation period, and the operation process of all the people and the object at the time of access is used to establish the short-circuit / open position identification of the operation process system at access; the short-circuit / open position identification of the operation process system at access is used to determine the access distribution line evaluation position of the access data evaluation period; all the access distribution line evaluation positions and the data evaluated in the access data evaluation period are intercepted by data jump, and whether the access data evaluation period is used as the access load fluctuation abnormal period is screened according to the data jump interception interval.

[0052] In some embodiments, the access load fluctuation abnormal period screening unit is also used to determine the collection method of compatibility data, wherein the collection method includes sensor collection and engineer counting statistics; determine the distribution between different software programs and hardware devices in the collection method, and calculate the dynamic visualization monitoring interface of the distribution of different software programs and hardware devices in the collection method of the corresponding distribution line evaluation position and the distribution of different software programs and hardware devices in the collection method of the corresponding data evaluation period; classify all dynamic visualization monitoring interfaces according to fault levels to obtain classification results; set initial coefficients for different software programs and hardware devices in the classification results, and then use the corresponding system short circuit / open circuit position identifier to set a high-order harmonic suppression coefficient on each of the initial coefficients to obtain high-order harmonic suppression results for different time periods, and determine the dynamic visualization monitoring interface corresponding to the high-order harmonic suppression results that meet a preset number among multiple high-order harmonic suppression results to perform subsequent steps; obtain the fault change situation of all dynamic visualization monitoring interfaces, and use the fault change situation to calculate the data jump interception interval between the corresponding distribution line evaluation position and the corresponding data evaluation period. And obtain the correlation between the access different unit time data evaluation period and the access different unit time distribution line evaluation position; perform voltage stabilization operation on the access different unit time distribution line evaluation position with a correlation greater than the initial preset safety limit interval.

[0053] Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for evaluating the system stability of a distribution network access, characterized in that: The steps include: Clustering the access features of different modules of different types of software programs and hardware devices in the distribution network to obtain the system stability evaluation stage of software programs and hardware devices and the access area location and time sorting steps. The system stability evaluation stage of software programs and hardware devices is used to evaluate the load fluctuation and harmonic anomaly per unit time of software programs and hardware devices of modules corresponding to different types of software programs and hardware devices. The access area location and time sorting steps are used to perform detailed process clustering from access preparation to access completion of modules corresponding to different types of software programs and hardware devices; Integrate all different types of software programs and hardware devices in the software program and hardware device system stability assessment phase, and determine the compatibility data of all the different types of software programs and hardware devices with the access software programs and hardware devices, form a compatibility coefficient distribution matrix for access at different unit times, and calculate the abnormal range of the impact of different compatibility data in the compatibility coefficient distribution matrix for access at different unit times, and obtain a visual monitoring interface for abnormal ranges of different power supply groups for access at different unit times; Obtain the operation procedures of all persons and objects within the access area location and time sorting steps when accessing, and determine the operation procedure arrangement data of all persons and objects when accessing, form a comparison table of peak currents at different stages during access, and calculate the abnormal range of the operation procedure arrangement data of each person and object at access in the comparison table of peak currents at different stages during access on the access, and obtain a visual monitoring interface of the abnormal range of different power supply groups during access; Matching the operation procedures of the software programs, hardware devices and the people and their objects during access by access characteristic voltage and current change parameters, determining the abnormal range of the access impact of the paired software programs, hardware devices and the operation procedures of the people and their objects during access and screening them; If the abnormal range areas of the different categories of software programs, hardware devices and access software programs, hardware devices in the abnormal range visualization monitoring interface of different power supply groups at different unit times are the same as the abnormal range areas of the operating procedures of the person and the object when accessed in the abnormal range visualization monitoring interface of different power supply groups when accessed, then the different categories of software programs, hardware devices and access software programs, hardware devices and the operating procedures of the person and the object when accessed are regarded as the access load fluctuation abnormal period.

2. A method for evaluating the system stability of a distribution network access according to claim 1, characterized in that: Different categories of software programs, hardware devices and access software programs and hardware devices as access time periods are marked as access time periods for data evaluation at different unit times, and system short-circuit / open circuit position identifiers of software programs and hardware devices at different unit times are established by using all the different categories of software programs, hardware devices and access software programs and hardware devices, and the system short-circuit / open circuit position identifiers of software programs and hardware devices at different unit times are used to determine the access time period for data evaluation at different unit times of the distribution line evaluation position, and data evaluated by all the access time period for distribution line evaluation positions and the access time period for data evaluation are intercepted by data jumps, and whether the access time period for data evaluation at different unit times is used as an access time period for abnormal load fluctuation according to the data jump interception interval; The operation procedures of the persons and objects at the time of access as the access period are marked as the access-time data evaluation period, and the operation procedures of all the persons and objects at the time of access are used to establish the short-circuit / open-circuit position identification of the access-time operation procedure system; the short-circuit / open-circuit position identification of the access-time operation procedure system is used to determine the access-time distribution line evaluation position of the access-time data evaluation period; data jump interception is performed on all the access-time distribution line evaluation positions and the data evaluated in the access-time data evaluation period, and whether the access-time data evaluation period is used as the access load fluctuation abnormal period according to the data jump interception interval; The data jump interception includes: determining the collection method of compatibility data, wherein the collection method includes sensor collection and engineer counting statistics; determining the distribution between different software programs and hardware devices in the collection method, and calculating the dynamic visualization monitoring interface of the distribution of different software programs and hardware devices in the collection method of the corresponding distribution line evaluation position and the distribution of different software programs and hardware devices in the collection method of the corresponding data evaluation period; obtaining the fault change situation of all dynamic visualization monitoring interfaces, and using the fault change situation to calculate the data jump interception interval between the corresponding distribution line evaluation position and the corresponding data evaluation period.

3. A method for evaluating the system stability of a distribution network access according to claim 2, characterized in that: The step of obtaining the fault change status of all dynamic visual monitoring interfaces also includes the following steps: All dynamic visual monitoring interfaces are classified according to the fault level to obtain the classification results; initial coefficients are set for different software programs and hardware devices in the classification results, and then high-order harmonic suppression coefficients are set on each of the initial coefficients using the corresponding system short-circuit / open-circuit position identifiers to obtain high-order harmonic suppression results for different time periods, and the dynamic visual monitoring interface corresponding to the high-order harmonic suppression results that meet a preset number is determined among the multiple high-order harmonic suppression results to proceed to subsequent steps.

4. A method for evaluating the system stability of a distribution network access according to claim 3, characterized in that: Determine the high-order harmonic suppression result corresponding to the data desensitization abnormal dynamic visualization monitoring interface when the preset number of high-order harmonic suppression results are met. The abnormal dynamic visualization monitoring interface is obtained by performing high-order harmonic analysis on all dynamic visualization monitoring interfaces.

5. A method for evaluating the system stability of a distribution network access according to claim 2, characterized in that: After determining the evaluation position of the access to different unit time distribution line of the access to different unit time data evaluation period by using the access to different unit time software program and hardware equipment system short circuit / open circuit position identifier, the following steps are also included: obtaining the degree of correlation between the access to different unit time data evaluation period and the access to different unit time distribution line evaluation position; performing voltage stabilization operation on the access to different unit time distribution line evaluation position whose correlation degree is greater than the initial preset safety limit interval.

6. A method for evaluating the system stability of a distribution network access according to claim 5, characterized in that: The method of performing voltage stabilization operation on the evaluation position of the distribution line accessed at different unit times whose correlation degree is greater than the initial preset safety limit interval also includes the following steps: using the short-circuit / open-circuit position identifier of the software program for accessing different unit times and the hardware equipment system to determine the time period parameter between the evaluation position of the distribution line accessed at different unit times and the data evaluation period for accessing different unit times; if the parameter is greater than or equal to the adjusted preset safety limit interval, the data of the evaluation position of the distribution line accessed at different unit times and the voltage stabilization operation is desensitized as a boundary condition for data jump interception during the data evaluation period for accessing different unit times.

7. A method for evaluating the system stability of a distribution network access according to claim 6, characterized in that: The relevant high-order harmonic coefficients are set for the evaluation positions of the distribution lines accessed at different unit times for data desensitization, and the relevant high-order harmonic coefficients are used as calculation boundary conditions for substituting into the evaluation positions of the distribution lines accessed at different unit times for data jump interception.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program instructions, and when the program instructions are executed, they are used to execute the system stability assessment method for distribution network access according to any one of claims 1 to 8.

9. A system stability assessment system for distribution network access, characterized in that: A computer program product having a processor and comprising the computer-readable storage medium according to claim 8.

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