Power grid letter fusion system state evaluation method and device, terminal and storage medium

Abstract

The invention discloses a power grid confidence fusion system state evaluation method and device, a terminal and a storage medium in the technical field of power system state monitoring and evaluation, and aims to solve the problems that in the prior art, a single dimension is limited to a physical side or an information side, and a unified confidence fusion index system does not exist; and an evaluation standard calculation method is single and a threshold value is fixed. The method comprises the following steps: determining an evaluation threshold value of each evaluation index based on a diversified threshold value setting method according to normalized data and a pre-constructed operation state evaluation index system of the power grid belief fusion system; according to the normalized data, based on an analytic hierarchy process and an entropy weight method, determining the final weight of each evaluation index, and evaluating the operation state of the power grid belief fusion system; according to the invention, a comprehensive evaluation index system is constructed; the system can reflect the operation state of a physical system and the operation state of an information system at the same time, and achieves the comprehensive evaluation of the power grid belief fusion system.

Description

Technical Field

[0001] The present invention relates to a method, device, terminal and storage medium for evaluating the state of a power grid physical and cyber fusion system, and belongs to the technical field of power system state monitoring and evaluation. Background Art

[0002] With the continuous expansion of the power grid scale and the rapid development of information technology, the degree of intelligence and informatization of the power grid system has been continuously improved, and a "cyber-physical fusion system" (i.e., a power grid physical and cyber fusion system) with deep coupling between the physical system and the information system has gradually formed. Under this background, the coordinated operation between the physical side and the information side of the power grid poses higher requirements for the stability and reliability of the system. However, the existing power grid state evaluation methods are often limited to a single dimension of the physical side or the information side, and cannot comprehensively reflect the overall operation status of the power grid physical and cyber fusion system, making it difficult to detect potential system risks in a timely manner. In addition, most of the existing methods lack a unified evaluation index system and weight allocation mechanism, and the state evaluation of each index lacks accuracy and real-time performance, resulting in lag in risk monitoring and fault warning. Moreover, the existing technologies mostly rely on a single data source (such as an automated monitoring system) and lack the comprehensive utilization of multi-source data (manual records, real-time monitoring, fault simulation data). At the same time, in terms of real-time feedback and warning display, the existing evaluation system only makes a comprehensive evaluation of the overall system state, and does not perform real-time feedback and warning on the state of individual indicators in the system, resulting in the inability to quickly locate risks and faults in the system.

[0003] In summary, the evaluation methods of the existing technologies are limited to a single dimension of the physical side or the information side, and there is no unified physical and cyber fusion index system; the calculation method of the evaluation standard is single and the threshold is fixed, and it cannot be dynamically adjusted according to different types of indicators, different scenarios and environments; the evaluation data source lacks the comprehensive utilization of multi-source data; there is a lack of common warning and real-time feedback display for the state evaluation of a single indicator and the comprehensive state evaluation of the system. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies in the existing technologies, and provide a method, device, terminal and storage medium for evaluating the state of a power grid physical and cyber fusion system, which expands the evaluation of the power grid operation state from the limitation of a single physical side or information side to the two dimensions of physical and cyber fusion, and constructs a comprehensive evaluation index system; this system can reflect the operation status of the physical system and the information system at the same time, realizing an all-round evaluation of the power grid physical and cyber fusion system. From the state evaluation of a single indicator at the bottom layer to the system-level state evaluation, this bottom-up hierarchical evaluation can reduce the misjudgment risk, improve the system robustness, and help managers quickly locate and solve problems.

[0005] To solve the above technical problems, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a method for evaluating the state of a power grid physical-digital fusion system, including:

[0007] Collecting real-time data of the power grid physical-digital fusion system according to a pre-constructed evaluation index system for the operating state of the power grid physical-digital fusion system; wherein, the evaluation index system for the operating state of the power grid physical-digital fusion system includes multiple evaluation indexes;

[0008] Performing data processing and analysis on the real-time data of the power grid physical-digital fusion system to determine normalized data;

[0009] Based on the normalized data and the pre-constructed evaluation index system for the operating state of the power grid physical-digital fusion system, determining the evaluation thresholds of each evaluation index based on a diversified threshold setting method;

[0010] Based on the evaluation index system for the operating state of the power grid physical-digital fusion system and the normalized data, determining the final weights of each evaluation index based on the analytic hierarchy process and the entropy weight method;

[0011] Comparing the real-time data of the power grid physical-digital fusion system with the evaluation thresholds of the corresponding evaluation indexes, and determining a first evaluation result according to the comparison result;

[0012] Calculating a comprehensive score based on the real-time data of the power grid physical-digital fusion system and the final weights of each evaluation index, comparing the comprehensive score with a preset threshold, and determining a second evaluation result according to the comparison result;

[0013] Evaluating the operating state of the power grid physical-digital fusion system according to the first evaluation result and the second evaluation result.

[0014] Further, the pre-constructed evaluation index system for the operating state of the power grid physical-digital fusion system includes physical-side evaluation indexes and information-side evaluation indexes;

[0015] The physical-side evaluation indexes include spare capacity margin, independent power supply ability, power quality, load supply ability, and failure risk rate; the spare capacity margin includes probabilistic regional reserve, transformer power margin, generator spare capacity, and power structure spare capacity, the independent power supply ability includes partition load balance degree and partition autonomous power supply rate, the power quality includes voltage deviation, voltage fluctuation, frequency deviation, three-phase voltage unbalance, and total harmonic distortion, the load supply ability includes line average load rate, line heavy load rate, and line N-1 passing rate, the failure risk rate includes line failure rate, distribution transformer failure rate, and outage rate; N is the total number of relevant lines or components in the power grid physical-digital fusion system;

[0016] The information-side evaluation metrics include communication reliability, reliability of core information-side devices, and availability of core information-side devices; the communication reliability includes average communication latency and communication success rate, the reliability of core information-side devices includes device failure rate and mean time between failures of devices, and the availability of core information-side devices includes device fault repair time, device repair rate, and device online duration.

[0017] Furthermore, collecting the real-time data of the power grid information and communication fusion system includes:

[0018] Collecting the real-time data of the power grid information and communication fusion system by means of manual recording, automated monitoring system, and fault simulation.

[0019] Furthermore, the diversified threshold setting method specifically includes:

[0020] Based on the set industry standards and historical data statistics, customizing evaluation threshold setting strategies for different types of evaluation metrics, and monitoring the data in real time to update the evaluation thresholds to adapt to changes in environmental conditions.

[0021] Furthermore, determining the final weights of each evaluation metric specifically includes:

[0022] According to the pre-constructed evaluation index system for the operation status of the power grid information and communication fusion system, calculating the subjective weight coefficients of each evaluation metric based on the analytic hierarchy process;

[0023] According to the normalized data and the pre-constructed evaluation index system for the operation status of the power grid information and communication fusion system, calculating the objective weight coefficients of each evaluation metric based on the entropy weight method;

[0024] According to the subjective weight coefficients of each evaluation metric and the objective weight coefficients of each evaluation metric, calculating the comprehensive weight of each evaluation metric, and the specific expression is as follows:

[0025]

[0026] In the formula: is the comprehensive weight of the th evaluation metric; is the label of the evaluation metric; is the total number of evaluation metrics; is the subjective weight coefficient of the th evaluation metric; is the objective weight coefficient of the th evaluation metric.

[0027] Furthermore, calculating the comprehensive score specifically includes:

[0028] Based on the analytic hierarchy process, the pre-constructed operation status evaluation index system of the power grid information and physical fusion system is divided into an objective layer, a criterion layer, a sub-criterion layer, and a scheme layer;

[0029] According to the final weights of each evaluation index, obtain the final weights of each evaluation index in the scheme layer;

[0030] According to the real-time data of the power grid information and physical fusion system, obtain the scores of each evaluation index in the scheme layer;

[0031] According to the scores of each evaluation index in the scheme layer and the final weights of each evaluation index in the scheme layer, calculate the comprehensive score. The specific expression is as follows:

[0032]

[0033] In the formula: is the comprehensive score, is the label of the evaluation index in the scheme layer; is the total number of evaluation indexes in the scheme layer; is the th final weight of the evaluation index in the scheme layer; is the th score of the evaluation index in the scheme layer.

[0034] Furthermore, the operation status of the power grid information and physical fusion system is evaluated as follows:

[0035] Both the first evaluation result and the second evaluation result include a normal state, a warning state, and a fault state;

[0036] When both the first evaluation result and the second evaluation result are in the normal state, the power grid information and physical fusion system is evaluated as the normal state;

[0037] When both the first evaluation result and the second evaluation result are in the warning state, the power grid information and physical fusion system is evaluated as the warning state;

[0038] When both the first evaluation result and the second evaluation result are in the fault state, the power grid information and physical fusion system is evaluated as the fault state;

[0039] When the first evaluation result and the second evaluation result are in the normal state and the warning state respectively, the power grid information and physical fusion system is evaluated as the warning state;

[0040] When the first evaluation result and the second evaluation result are in the normal state and the fault state respectively, the power grid information and physical fusion system is evaluated as the fault state;

[0041] When the first evaluation result and the second evaluation result are in the warning state and the fault state respectively, the power grid information and physical fusion system is evaluated as the fault state.

[0042] In a second aspect, the present invention provides an operating state evaluation device for a power grid physical-object fusion system, including:

[0043] A data acquisition module: configured to collect real-time data of the power grid physical-object fusion system according to a pre-constructed operating state evaluation index system of the power grid physical-object fusion system; wherein, the operating state evaluation index system of the power grid physical-object fusion system includes a plurality of evaluation indexes;

[0044] A data processing module: configured to perform data processing and analysis on the real-time data of the power grid physical-object fusion system to determine normalized data; based on the normalized data and the pre-constructed operating state evaluation index system of the power grid physical-object fusion system, and based on a diversified threshold setting method, determine the evaluation thresholds of each evaluation index;

[0045] An index weight calculation module: configured to determine the final weights of each evaluation index based on the operating state evaluation index system of the power grid physical-object fusion system and the normalized data, based on the analytic hierarchy process and the entropy weight method;

[0046] A state evaluation module: configured to compare the real-time data of the power grid physical-object fusion system with the evaluation thresholds of the corresponding evaluation indexes, and determine a first evaluation result according to the comparison result; calculate a comprehensive score based on the real-time data of the power grid physical-object fusion system and the final weights of each evaluation index, compare the comprehensive score with a preset threshold, and determine a second evaluation result according to the comparison result;

[0047] A feedback module: configured to evaluate the operating state of the power grid physical-object fusion system according to the first evaluation result and the second evaluation result.

[0048] In a third aspect, the present invention provides a terminal, including a processor and a storage medium;

[0049] The storage medium is used to store instructions;

[0050] The processor is configured to operate according to the instructions to execute the steps of the method according to the first aspect.

[0051] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method according to the first aspect are implemented.

[0052] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0053] 1. The present invention expands the evaluation of the power grid operating state from the limitations of a single physical side or information side to the two dimensions of physical-object fusion, and constructs a comprehensive evaluation index system; this system can simultaneously reflect the operating state of the physical system and the operating state of the information system, and realizes a comprehensive evaluation of the power grid physical-object fusion system;

[0054] 2. The bottom-up hierarchical evaluation of the present invention from the single-index status evaluation at the bottom layer to the system-level status evaluation can reduce the risk of misjudgment, improve the system robustness, and help managers quickly locate and solve problems;

[0055] 3. The present invention can not only visually display the operating conditions of the system, but also the divided normal state, warning state, and fault state are associated with preventive control, emergency control, and restoration control in power grid security control, providing a scientific basis for state analysis, a comprehensive risk warning ability, and an accurate restoration guidance strategy for power grid security control, greatly improving the safety, stability, and intelligent level of power grid operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 is a schematic flowchart of a method for evaluating the state of a power grid physical and cyber fusion system according to an embodiment of the present invention;

[0057] Figure 2 is a schematic diagram of the hierarchical structure of an evaluation index system according to an embodiment of the present invention;

[0058] Figure 3 is a schematic diagram of the structure of an operating state evaluation device for a power grid physical and cyber fusion system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] The technical solution of the present invention will be described in detail below with reference to the drawings and specific embodiments. It should be understood that the specific features in the embodiments of the present invention are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. Without conflict, the technical features in the embodiments of the present invention and the embodiments can be combined with each other.

[0060] The term "and / or" is merely a description of the associated relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " generally represents an "or" relationship between the associated objects before and after.

[0061] Embodiment 1:

[0062] As Figure 1 shown, a schematic flowchart of a method for evaluating the state of a power grid physical and cyber fusion system provided by an embodiment of the present invention includes:

[0063] Collect real-time data of the power grid physical and cyber fusion system according to a pre-constructed evaluation index system for the operating state of the power grid physical and cyber fusion system; wherein, the evaluation index system for the operating state of the power grid physical and cyber fusion system includes multiple evaluation indexes;

[0064] Specifically, the present invention pre - constructs an evaluation index system for the operation state of the power grid - physical - digital fusion system. The evaluation index system for the operation state of the power grid - physical - digital fusion system covers multi - dimensional information on the physical side and the information side to comprehensively reflect the operation status of the system;

[0065] Perform data processing and analysis on the real - time data of the power grid - physical - digital fusion system to determine the normalized data;

[0066] According to the normalized data and the pre - constructed evaluation index system for the operation state of the power grid - physical - digital fusion system, based on a diversified threshold - setting method, determine the evaluation thresholds for each evaluation index;

[0067] According to the evaluation index system for the operation state of the power grid - physical - digital fusion system and the normalized data, based on the analytic hierarchy process and the entropy weight method, determine the final weights of each evaluation index;

[0068] Compare the real - time data of the power grid - physical - digital fusion system with the evaluation thresholds of the corresponding evaluation indexes, and determine the first evaluation result according to the comparison result;

[0069] Calculate a comprehensive score according to the real - time data of the power grid - physical - digital fusion system and the final weights of each evaluation index, compare the comprehensive score with a preset threshold, and determine the second evaluation result according to the comparison result;

[0070] Evaluate the operation state of the power grid - physical - digital fusion system according to the first evaluation result and the second evaluation result.

[0071] In one embodiment, the pre - constructed evaluation index system for the operation state of the power grid - physical - digital fusion system includes physical - side evaluation indexes and information - side evaluation indexes;

[0072] The physical - side evaluation indexes include spare capacity margin, independent power supply ability, power quality, load supply ability, and fault risk rate; the spare capacity margin includes probabilistic regional reserve, transformer power margin, generator spare capacity, and power structure spare capacity, the independent power supply ability includes partition load balance degree and partition autonomous power supply rate, the power quality includes voltage deviation, voltage fluctuation, frequency deviation, three - phase voltage imbalance, and total harmonic distortion, the load supply ability includes line average load rate, line heavy load rate, and line N - 1 passing rate, and the fault risk rate includes 10KV line failure rate, distribution transformer failure rate, and outage rate;

[0073] The information-side evaluation metrics include communication reliability, reliability of information-side core devices, and availability of information-side core devices; the communication reliability includes average communication delay and communication success rate, the reliability of information-side core devices includes device failure rate and mean time between failures of devices, and the availability of information-side core devices includes device fault repair time, device repair rate, and device online duration.

[0074] Specifically, each evaluation metric has a corresponding calculation formula, as follows:

[0075] The spare capacity margin includes probabilistic regional reserve, transformer power margin, generator spare capacity, and power structure spare capacity;

[0076] Among them, probabilistic regional reserve: Probabilistic regional reserve refers to the spare capacity that the power grid can provide at a specific probability level. The specific expression is as follows:

[0077]

[0078] In the formula: S’ represents the probabilistic regional reserve, represents the total system capacity, a represents the confidence level, and L represents the current system load.

[0079] Transformer power margin: Transformer power margin refers to the difference between the rated capacity of the transformer and the actual load. The calculation formula is:

[0080]

[0081] In the formula: M represents the transformer power margin, represents the rated capacity of the transformer.

[0082] Generator spare capacity: Generator spare capacity refers to the additional power capacity that the generator set can provide after meeting the current load; the calculation formula is:

[0083]

[0084] In the formula: represents the generator spare capacity, represents the total capacity of the generator.

[0085] Power structure spare capacity: Power structure spare capacity refers to the additional power capacity that the entire power system can provide after meeting the current load; the calculation formula is:

[0086]

[0087] In the formula: represents the power structure spare capacity, represents the total system capacity.

[0088] The independent power supply capacity includes the partition load balance degree and the partition autonomous power supply rate;

[0089] Among them, the partition load balance degree: It reflects the balance degree of the load distribution of each node within the partition, avoiding local overload from affecting the stability of independent power supply; the calculation formula is:

[0090]

[0091] In the formula: PLBI represents the partition load balance degree, represents the standard deviation of the load power of each node within the partition, represents the average load power within the partition.

[0092] The partition autonomous power supply rate: It is the proportion of the local power generation and energy storage within the partition that can meet the load demand, representing the short-term independent power supply capacity; the calculation formula is:

[0093]

[0094] In the formula: PASR represents the partition autonomous power supply rate, represents the local power generation power of the z-th node, represents the maximum discharge power of the energy storage of the z-th node, represents the load power of the z-th node; Z represents the total number of nodes.

[0095] The failure risk rate includes the 10KV line failure rate, the distribution transformer failure rate, and the shutdown rate;

[0096] Among them, the failure risk rate: The 10kV line failure rate refers to the probability of a medium-voltage distribution line failing per unit length or operating time, and the calculation formula is:

[0097]

[0098] In the formula: represents the 10kV line failure rate, represents the number of failures, represents the total line length, represents the operating time.

[0099] The distribution transformer failure rate: It represents the frequency of a distribution transformer failing per unit time, and the calculation formula is:

[0100]

[0101] In the formula: represents the distribution transformer failure rate, represents the number of failures, represents the total number of transformers, represents the operating time.

[0102] Downtime rate: It represents the proportion of the downtime of the system due to reasons during operation in the total operating time. The calculation formula is:

[0103]

[0104] In the formula: represents the downtime rate, represents the downtime, represents the total operating time.

[0105] The power quality includes voltage deviation, voltage fluctuation, frequency deviation, three-phase voltage unbalance, and total harmonic distortion;

[0106] Among them, voltage deviation: Voltage deviation is usually defined as the percentage of the difference between the actual voltage and the rated voltage divided by the rated voltage. The calculation formula is:

[0107]

[0108] In the formula: represents the voltage deviation, represents the actually measured voltage value, represents the rated voltage value.

[0109] Voltage fluctuation: Voltage fluctuation refers to the change range of the voltage value in the power system relative to its rated voltage within a certain period of time. The calculation formula is:

[0110]

[0111] In the formula: represents the voltage fluctuation, represents the maximum voltage, represents the minimum voltage; represents the rated voltage.

[0112] Frequency deviation: It refers to the difference between the actual frequency and the nominal frequency during the normal operation of the system. The calculation formula is:

[0113]

[0114] In the formula: represents the frequency deviation, represents the actual frequency, represents the rated frequency.

[0115] Three-phase voltage unbalance: It is an important indicator to measure the deviation degree between the amplitudes of the three-phase voltages in the power system. It is defined as the percentage of the maximum deviation value of the three-phase voltages (relative to the average voltage). The calculation formula is:

[0116]

[0117] In the formula: and respectively represent the maximum and minimum values in the three-phase voltage, represents the average value of the three-phase voltage.

[0118] Total harmonic distortion: It is an important indicator to measure the distortion degree of the harmonic wave in the power system on the voltage or current waveform, representing the ratio of the total effective value of the harmonic component to the effective value of the fundamental wave component. The calculation formula is:

[0119]

[0120] In the formula: THD represents the total harmonic distortion, represents the effective value of the nth harmonic voltage, represents the effective value of the fundamental wave voltage.

[0121] The load supply capacity includes the line average load rate, the line heavy load rate, and the line N - 1 passing rate;

[0122] Among them, the line average load rate: The average load rate of the distribution network line is usually used to measure the usage degree of the line within a certain period of time, representing the ratio of the line average load to its maximum load. The calculation formula is:

[0123]

[0124] Among them, ALR represents the average load rate, represents the total power or average load of the line within a specific time period, represents the maximum carrying capacity or rated capacity of the line.

[0125] The line heavy load rate: It represents the ratio of the actual load degree of the transmission line to its rated capacity. The calculation formula is:

[0126]

[0127] In the formula: OR represents the line heavy load rate, represents the actual load, represents the rated capacity of the line.

[0128] The line N - 1 passing rate: It represents the load capacity that other lines can still carry when a line fails or is isolated in a power system. The calculation formula is:

[0129]

[0130] In the formula: N_1TR represents the N - 1 passing rate, is the load capacity lost by the system after the N - 1 fault occurs, is the total load capacity of the system under normal operating conditions; N is the total number of relevant lines or components in the power grid information fusion system.

[0131] The communication reliability includes the average communication delay and the communication success rate;

[0132] Among them, the communication success rate: the ability of the communication system to successfully transmit data, and the calculation formula is:

[0133]

[0134] In the formula: represents the communication success rate; represents the number of successful communications; represents the total number of communication attempts.

[0135] Average communication delay: The average communication delay refers to the average value of the delay time of each communication in multiple communication attempts, and the calculation formula is:

[0136]

[0137] In the formula: represents the average communication delay, represents the delay of the

[0138] The reliability of the core equipment on the information side includes the equipment failure rate and the mean time between failures of the equipment;

[0139] Among them, the equipment failure rate: used to measure the frequency of failures of important equipment on the information side during operation, and the calculation formula is:

[0140]

[0141] In the formula: represents the failure rate of the switch cabinet, represents the number of failures; represents the operating time.

[0142] Mean time between failures of the equipment: used to measure the average operating time between two failures of important equipment on the information side, and the calculation formula is:

[0143]

[0144] In the formula: represents the mean time between failures of the equipment.

[0145] The availability of the core equipment on the information side includes the equipment fault repair time, the equipment repair rate, and the equipment online duration;

[0146] Among them, the equipment failure repair time: It represents the average time required from the occurrence of an equipment failure to its complete repair and reuse. The calculation formula is:

[0147]

[0148] In the formula: represents the failure repair time of important equipment on the information side, represents the total repair time of important equipment, represents the total number of failures of important equipment.

[0149] Equipment repair rate: It represents the ratio of the number of successfully repaired equipment failures to the total number of equipment failure repair attempts within a certain period of time. The calculation formula is:

[0150]

[0151] In the formula: represents the equipment repair rate, represents the number of successful repairs, represents the total number of repair attempts.

[0152] Equipment online duration: It represents the ratio of the normal operation duration of the equipment to the total operation duration within a certain period of time. The calculation formula is:

[0153]

[0154] Among them, represents the equipment online duration, represents the normal operation time of the equipment, represents the total operation time of the equipment on the information side.

[0155] Due to the large variety of evaluation indicators, and the power grids of different scales and operation scenarios have different requirements for evaluation indicators. Therefore, the present invention allows for the flexible selection of the content of evaluation indicators according to the actual operation conditions of the power grid, so as to ensure the applicability and effectiveness of the evaluation.

[0156] An embodiment, collecting the real-time data of the power grid information and physical integration system, including:

[0157] Collect the real-time data of the power grid information and physical integration system by using the manual recording method, the automated monitoring system method, and the fault simulation method.

[0158] Specifically, the above-described manual recording data collection method mainly targets the factory parameters of some equipment, and the data that needs to be manually entered into the evaluation system; the data collected by the automated monitoring system mainly targets the real-time data during system operation; the fault simulation collection method mainly collects the data under abnormal conditions.

[0159] An embodiment is to process and analyze the real-time data of the power grid physical-digital fusion system to determine the normalized data, and based on the normalized data and the pre-constructed evaluation index system for the operation state of the power grid physical-digital fusion system, determine the evaluation thresholds for each evaluation index according to the diversified threshold setting method, specifically including:

[0160] Process and analyze the collected data, and based on the diversified threshold setting method, set the evaluation criteria for the operation state, warning state, and fault state for each evaluation index in the index system.

[0161] The collected real-time data may have outliers, noise, or missing problems, and preprocessing is required before formal analysis.

[0162] Missing value processing: Use interpolation or other statistical methods to fill in the missing data to avoid affecting the analysis results.

[0163] Data alignment and time synchronization: Align the timestamps of data from different sources (such as physical-side and information-side data) to ensure data synchronization.

[0164] Data normalization: To eliminate the influence of different index dimensions, perform normalization processing on all evaluation indexes to obtain the normalized evaluation index X'; the evaluation index X' is divided into positive indexes and negative indexes. The larger the value of the positive index, the better, and the smaller the value of the negative index, the better. The normalization formulas for positive and negative indexes are as follows:

[0165]

[0166]

[0167] In the formula: Represents the normalized value of the positive index, Represents the normalized value of the negative index, X represents the original data, And Are respectively the upper limit value of the normal state and the lower limit value of the fault state of this index.

[0168] A state classification algorithm is used to divide each evaluation index into an operation state, a warning state, and a fault state; the normal state index value is within the safe range, and the system does not need to intervene. The warning state index value is close to the critical point, triggering a warning and starting preparatory measures; the fault state index value exceeds the tolerance limit, and protection actions must be executed.

[0169] The diversified threshold setting method specifically includes: based on diversified methods such as set industry standards and historical data statistics, customizing evaluation threshold setting strategies for different types of evaluation indicators, and monitoring data in real time to update the evaluation thresholds to adapt to changes in environmental conditions; the methods for setting the thresholds of each specific indicator mainly include: based on relevant industry standards, historical data statistics, etc., for different types of indicators, different threshold setting methods are adopted, and dynamic adjustment is supported to adapt to system changes.

[0170] An embodiment, the determination of the final weights of each evaluation indicator specifically includes:

[0171] According to the pre-constructed operation status evaluation index system of the power grid information and physical fusion system, based on the analytic hierarchy process, calculate the subjective weight coefficients of each evaluation indicator;

[0172] According to the normalized data and the pre-constructed operation status evaluation index system of the power grid information and physical fusion system, based on the entropy weight method, calculate the objective weight coefficients of each evaluation indicator;

[0173] According to the subjective weight coefficients and objective weight coefficients of each evaluation indicator, calculate the comprehensive weight of each evaluation indicator, and the specific expression is as follows:

[0174]

[0175] In the formula: is the comprehensive weight of the th evaluation indicator; is the label of the evaluation indicator; is the total number of evaluation indicators; is the subjective weight coefficient of the th evaluation indicator; is the th objective weight coefficient of the evaluation indicator.

[0176] Among them, according to the pre-constructed operation status evaluation index system of the power grid information and physical fusion system, based on the analytic hierarchy process, calculating the subjective weight coefficients of each evaluation indicator specifically includes:

[0177] Adopt the analytic hierarchy process to calculate the subjective weight coefficients of each operation status evaluation indicator of the power grid information and physical fusion system; the implementation process is as follows:

[0178] First, according to Figure 2 shown, which is the schematic diagram of the hierarchical structure of the evaluation index system provided by the embodiment of the present invention, the index system can be divided into: target layer, criterion layer, sub-criterion layer and scheme layer.

[0179] Next, construct the judgment matrix. According to the expert opinions, compare the relative importance of the same-level indicators under the same upper-level indicator in the hierarchical structure. By pairwise comparison, determine the importance ratio between every two indicators. Use the Saaty scale method to assign values, usually using a scale of 1-9. The meaning of the scale values is shown in Table 1:

[0180]

[0181] In the table, Ai and Aj respectively refer to the two indicators in the pairwise comparison;

[0182] For each pairwise comparison matrix, calculate its eigenvector W and the maximum eigenvalue ; Normalize the eigenvector to obtain the weight value of the indicator, and the maximum eigenvalue is used for consistency test; To ensure the rationality of the judgment matrix, consistency test is required. The calculation formulas for the consistency index CI and the consistency ratio CR are as follows:

[0183]

[0184]

[0185] In the formula: is the maximum eigenvalue of the judgment matrix, n is the order of the matrix, and RI is obtained by looking up the random consistency index (RI) table; If CR < 0.1, it is judged that the comparison matrix has satisfactory consistency; Otherwise, the comparison matrix needs to be adjusted.

[0186] Suppose the eigenvector W of the pairwise comparison matrix is ; represents the transpose; Then, the set of local weight coefficients of the evaluation indicators of the comparison matrix is calculated by the analytic hierarchy process as follows:

[0187]

[0188] In the formula: s is the label of the evaluation indicator in the current comparison matrix, is the sum of the eigenvectors; is the local weight coefficient of the s-th evaluation indicator.

[0189] Suppose w up is the weight of the upper-level indicator of the current set, then the set of the final subjective weights of the current evaluation indicators is as follows:

[0190]

[0191] According to the set of the final subjective weight coefficients of multiple comparison matrices, obtain the subjective weight coefficient of the th evaluation indicator 。

[0192] The entropy weight method is adopted to calculate the objective weight coefficients of the operation status evaluation indexes of each power grid information and communication fusion system. The implementation process is as follows:

[0193] According to the normalized data and the pre-established operation status evaluation index system of the power grid information and communication fusion system, calculate the proportion of each evaluation index in each sample. The calculation formula for the proportion is:

[0194]

[0195] In the formula: is the proportion of the i-th index in the j-th sample; n is the total number of samples.

[0196] Secondly, for each index, calculate its information entropy. The information entropy reflects the uncertainty of the index. The information entropy calculation formula is as follows:

[0197]

[0198] Among them, , is the information entropy.

[0199] Finally, calculate the weight of each index. The weight is inversely proportional to the magnitude of the entropy value. The calculation formula is:

[0200]

[0201] In the formula: represents the weight of the i-th index.

[0202] The comprehensive weight calculation formula is adopted. Substitute the subjective weight coefficient and the objective weight coefficient to obtain the comprehensive weight, and use the comprehensive weight as the final weight coefficient of the power grid information and communication fusion evaluation index. The specific comprehensive weight calculation formula is:

[0203]

[0204] In the formula: is the comprehensive weight of the -th evaluation index; is the label of the evaluation index; is the total number of indexes; is the -th subjective weight coefficient of the evaluation index; is the -th objective weight coefficient of the evaluation index.

[0205] An embodiment compares the real-time data of the power grid physical-digital fusion system with the evaluation thresholds of the corresponding evaluation indicators, and determines the first evaluation result according to the comparison result, specifically including:

[0206] The evaluation thresholds include a first threshold, a second threshold, and a third threshold. When one of the real-time data is within the first threshold, it is determined that this real-time data is in a normal state, and the first evaluation result is in a normal state at this time; when one of the real-time data is within the second threshold, it is determined that this real-time data is in a warning state, and the first evaluation result is in a warning state at this time; when one of the real-time data is within the third threshold, it is determined that this real-time data is in a fault state, and the first evaluation result is in a fault state at this time.

[0207] An embodiment, calculating the comprehensive score, specifically including:

[0208] Based on the analytic hierarchy process, the pre-constructed evaluation index system for the operation state of the power grid physical-digital fusion system is divided into an objective layer, a criterion layer, a sub-criterion layer, and a scheme layer;

[0209] According to the final weights of each evaluation indicator, obtain the final weights of each evaluation indicator in the scheme layer;

[0210] According to the real-time data of the power grid physical-digital fusion system, obtain the scores of each evaluation indicator in the scheme layer;

[0211] According to the scores of each evaluation indicator in the scheme layer and the final weights of each evaluation indicator in the scheme layer, calculate the comprehensive score, and the specific expression is as follows:

[0212]

[0213] In the formula: is the comprehensive score, is the label of the evaluation indicator in the scheme layer; is the total number of evaluation indicators in the scheme layer; is the th final weight of the evaluation indicator in the scheme layer; is the th score of the evaluation indicator in the scheme layer.

[0214] Specifically, the preset thresholds include a first preset threshold, a second preset threshold, and a third preset threshold; when the comprehensive score is within the first preset threshold, the second evaluation result is in a normal state; when the comprehensive score is within the second preset threshold, the second evaluation result is in a warning state; when the comprehensive score is within the third preset threshold, the second evaluation result is in a fault state.

[0215] An embodiment, evaluating the operation state of the power grid physical-digital fusion system, specifically including:

[0216] Both the first evaluation result and the second evaluation result include a normal state, a warning state, and a failure state;

[0217] When both the first evaluation result and the second evaluation result are in the normal state, the power grid information and physical integration system is evaluated as being in the normal state;

[0218] When both the first evaluation result and the second evaluation result are in the warning state, the power grid information and physical integration system is evaluated as being in the warning state;

[0219] When both the first evaluation result and the second evaluation result are in the failure state, the power grid information and physical integration system is evaluated as being in the failure state;

[0220] When the first evaluation result and the second evaluation result are in the normal state and the warning state respectively, the power grid information and physical integration system is evaluated as being in the warning state;

[0221] When the first evaluation result and the second evaluation result are in the normal state and the failure state respectively, the power grid information and physical integration system is evaluated as being in the failure state;

[0222] When the first evaluation result and the second evaluation result are in the warning state and the failure state respectively, the power grid information and physical integration system is evaluated as being in the failure state.

[0223] Specifically, when the power grid information and physical integration system is in the warning state or the failure state, real-time feedback and early warning will be provided.

[0224] In one embodiment, the preset thresholds are shown in Table 2:

[0225]

[0226] In this embodiment, the operating state of the microgrid in the laboratory is evaluated.

[0227] In view of the scale, structure, and operating environment of the laboratory microgrid, the following indicators are selected to evaluate the operating state:

[0228] Physical side: Power quality (such as voltage deviation, voltage fluctuation, frequency deviation); Load supply capacity (line average load rate, line heavy load rate, line N - 1 passing rate); Fault risk rate (distribution transformer failure rate, outage rate, repeated tripping rate);

[0229] Information side: Communication reliability (average communication delay, communication success rate); Reliability of core equipment on the information side (equipment failure rate, equipment mean time between failures); Availability of core equipment on the information side (equipment fault repair time, equipment repair rate, equipment online duration).

[0230] Relevant evaluation data is collected through various sensors, fault reports, smart meters, etc. in the laboratory, as well as methods such as manual recording and fault simulation, and the numerical values of the evaluation indicators are calculated.

[0231] By performing data processing and in-depth analysis on the calculated index values, a diversified threshold setting method is adopted to formulate corresponding evaluation criteria for each index.

[0232] For example, the evaluation threshold for one of the evaluation indicators is as follows: normal state: voltage deviation ≤ 5%, warning state: 5% ≤ voltage deviation ≤ 10%, fault state: voltage deviation > 10%;

[0233] Taking the data collected in the experiment as an example, if the voltage deviation is 6.32%, the power quality index is evaluated as the warning state, and at this time, the first evaluation result is also correspondingly converted to the warning state; then the second evaluation result is obtained to evaluate the operation state of the power grid information and physical integration system.

[0234] In one embodiment, the final weights of each evaluation index are shown in Table 3:

[0235]

[0236] Taking the data collected in the experiment as an example, when the single-index evaluation is within the safe and stable operation threshold range, that is, the first evaluation result is in the normal state, at this time, the overall score of the system is calculated through the comprehensive weight and the score value of the solution layer:

[0237] =(0.85×0.12)+(0.81×0.12)+(0.82×0.06)+(0.77×0.09)+(0.85×0.054)+(0.71×0.036)+(0.8×0.048)+(0.79×0.048)+(0.72×0.024)+(0.8×0.048)+(0.85×0.8)+(0.73×0.032)+(0.78×0.6)+(0.81×0.06)+(0.7×0.048)+(0.75×0.024)=0.796;

[0238] At this time, 0.5 ≤ <0.8, so the second evaluation result is in the warning state, there is a certain risk, and it needs to be concerned and maintained. Therefore, in summary, the power grid information and physical integration system is in the warning state.

[0239] To verify the evaluation accuracy, historical data comparison is used. The evaluation result is compared with the historical operation state of the actual power grid, and different power grid operation states are simulated through experiments (for example, simulating voltage deviation, equipment failure, etc.) to verify the accuracy of the evaluation system; the present invention also uses a confusion matrix to calculate the accuracy rate in the classification task, and the accuracy rate formula is:

[0240]

[0241] Where: TP represents true positive cases, which are the number of samples correctly predicted as positive classes by the model, represents true negative cases, which are the number of samples correctly predicted as negative classes by the model, represents false positive cases, which are the number of samples incorrectly predicted as positive classes by the model, represents false negative cases, which are the number of samples incorrectly predicted as negative classes by the model.

[0242] The evaluation accuracy is shown in Table 4:

[0243]

[0244] Evaluate the accuracy according to the above steps.

[0245] The present invention extends the evaluation of the power grid operation state from the limitations of a single physical side or information side to the two dimensions of the integration of information and physical objects, and constructs a comprehensive evaluation index system; this system can simultaneously reflect the operation states of the physical system and the information system, achieving a comprehensive evaluation of the power grid information and physical object integration system.

[0246] Based on diversified methods such as industry standards and historical data statistics, the present invention customizes threshold setting strategies for different types of evaluation indicators, and monitors the data in real time to update the thresholds to adapt to changes in environmental conditions.

[0247] The prior art mainly conducts state evaluation for a single data source of operation data. The present invention realizes the integrated utilization of multi-source data on the physical side and the information side by combining manual records, real-time data collection of automated monitoring systems, and fault simulation, etc., improving the evaluation accuracy.

[0248] From the bottom-level single-index state evaluation to the system-level state evaluation, this bottom-up hierarchical evaluation of the present invention can reduce the risk of misjudgment, improve the system robustness, and help managers quickly locate and solve problems.

[0249] The present invention independently conducts state analysis for each evaluation index, accurately divides it into normal state, warning state, and fault state, can quickly identify the abnormal state of a specific index, and realizes precise early warning of a single index; at the same time, the present invention generates an evaluation result of the overall operation state of the power grid information and physical object integration system by weighted synthesis of the values of each evaluation index, and provides a real-time early warning and feedback mechanism.

[0250] The present invention can not only intuitively display the operation status of the system, but also the divided normal state, warning state, and fault state are associated with preventive control, emergency control, and restoration control in power grid security control, providing a scientific state analysis basis, a comprehensive risk warning ability, and a precise restoration guidance strategy for power grid security control, greatly improving the safety, stability, and intelligent level of power grid operation.

[0251] Embodiment 2:

[0252] As shown in Figure 3 , a structural schematic diagram of an operation status evaluation device for a power grid physical and information fusion system provided by an embodiment of the present invention includes:

[0253] Data acquisition module: used to collect real-time data of the power grid physical and information fusion system according to a pre-constructed operation status evaluation index system of the power grid physical and information fusion system; wherein, the operation status evaluation index system of the power grid physical and information fusion system includes multiple evaluation indexes;

[0254] Data processing module: used to perform data processing and analysis on the real-time data of the power grid physical and information fusion system to determine normalized data; based on the normalized data and the pre-constructed operation status evaluation index system of the power grid physical and information fusion system, determine the evaluation thresholds of each evaluation index based on a diversified threshold setting method;

[0255] Index weight calculation module: used to determine the final weight of each evaluation index based on the analytic hierarchy process and the entropy weight method according to the operation status evaluation index system of the power grid physical and information fusion system and the normalized data;

[0256] Status evaluation module: used to compare the real-time data of the power grid physical and information fusion system with the evaluation thresholds of the corresponding evaluation indexes, and determine the first evaluation result according to the comparison result; calculate a comprehensive score according to the real-time data of the power grid physical and information fusion system and the final weights of each evaluation index, compare the comprehensive score with a preset threshold, and determine the second evaluation result according to the comparison result;

[0257] Feedback module: used to evaluate the operation status of the power grid physical and information fusion system according to the first evaluation result and the second evaluation result, that is, the feedback and warning module.

[0258] Specifically, it further includes an evaluation index management module: used to define, store and update the evaluation indexes and evaluation criteria on the physical side and the information side; a user interface module, used to provide users with evaluation result display and maintenance suggestions.

[0259] The feedback and warning module includes: status warning based on a single index, used to prompt abnormal indexes in a single index dimension, such as indexes like spare capacity margin, power quality, communication reliability, etc.; overall warning based on the status of comprehensive indexes, used to prompt the fault risk at the physical and information fusion system level.

[0260] The status displayed by the user interface module includes: the warning feedback of the single index status and the overall evaluation feedback of the comprehensive index status are both divided into three statuses: normal state, warning state and fault state.

[0261] The described evaluation method supports power grids of different scales and topologies, including but not limited to: urban distribution grids; rural micro-grids; local industrial park grids; hybrid grids containing distributed energy sources.

[0262] Embodiment III:

[0263] An embodiment of the present invention also provides a terminal, including a processor and a storage medium;

[0264] The storage medium is used to store instructions;

[0265] The processor is used to operate according to the instructions to execute the steps of the method described in Embodiment I.

[0266] Embodiment IV:

[0267] An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the steps of the method described in Embodiment I.

[0268] Since the storage medium provided by the embodiment of the present invention can execute the method provided by Embodiment I of the present invention, therefore, it has the corresponding functional modules and beneficial effects of the execution method.

[0269] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0270] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0271] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more of the procedures Figure 1 or more procedures and / or blocks Figure 1 or more blocks.

[0272] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more of the procedures Figure 1 or more procedures and / or blocks Figure 1 or more blocks.

[0273] The foregoing are only preferred embodiments of the present invention, and it should be noted that for those of ordinary skill in the art, without departing from the technical principles of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A method for evaluating the state of a power grid information and physical integration system, characterized in that, Including: Collect real-time data of the power grid information-physical fusion system according to a pre-constructed evaluation index system for the operation status of the power grid information-physical fusion system; wherein, the evaluation index system for the operation status of the power grid information-physical fusion system includes multiple evaluation indexes; Perform data processing and analysis on the real-time data of the power grid information-physical fusion system to determine normalized data; According to the normalized data and the pre-constructed evaluation index system for the operation status of the power grid information-physical fusion system, based on a diversified threshold setting method, determine the evaluation thresholds of each evaluation index; According to the evaluation index system for the operation status of the power grid information-physical fusion system and the normalized data, based on the analytic hierarchy process and the entropy weight method, determine the final weights of each evaluation index; Compare the real-time data of the power grid information-physical fusion system with the evaluation thresholds of the corresponding evaluation indexes, and determine the first evaluation result according to the comparison result; Calculate a comprehensive score according to the real-time data of the power grid information-physical fusion system and the final weights of each evaluation index, compare the comprehensive score with a preset threshold, and determine the second evaluation result according to the comparison result; Evaluate the operation status of the power grid information-physical fusion system according to the first evaluation result and the second evaluation result.

2. The method for evaluating the state of a power grid token fusion system according to claim 1, characterized in that: The pre-constructed evaluation index system for the operation status of the power grid information-physical fusion system includes physical-side evaluation indexes and information-side evaluation indexes; The physical-side evaluation indexes include reserve capacity margin, independent power supply ability, power quality, load supply ability, and fault risk rate; the reserve capacity margin includes probabilistic regional reserve, transformer power margin, generator reserve capacity, and power structure reserve capacity, the independent power supply ability includes sub-region load balance degree and sub-region autonomous power supply rate, the power quality includes voltage deviation, voltage fluctuation, frequency deviation, three-phase voltage unbalance, and total harmonic distortion, the load supply ability includes line average load rate, line heavy load rate, and line N-1 passing rate, the fault risk rate includes line failure rate, distribution transformer failure rate, and outage rate; N is the total number of relevant lines or components in the power grid information-physical fusion system; The information-side evaluation indexes include communication reliability, reliability of information-side core equipment, and availability of information-side core equipment; the communication reliability includes average communication delay and communication success rate, the reliability of information-side core equipment includes equipment failure rate and equipment mean time between failures, the availability of information-side core equipment includes equipment fault repair time, equipment repair rate, and equipment online duration.

3. The method for evaluating the state of the power grid token fusion system according to claim 1, characterized in that, The collecting of the real-time data of the power grid information-physical fusion system includes: Collect the real-time data of the power grid information-physical fusion system by means of manual recording, automated monitoring system, and fault simulation.

4. The method for evaluating the state of the power grid physical-digital fusion system according to claim 1, wherein The diversified threshold setting method specifically includes: Based on the set industry standards and historical data statistics, customize evaluation threshold setting strategies for different types of evaluation indexes, and monitor the data in real time to update the evaluation thresholds to adapt to changes in environmental conditions.

5. The method for evaluating the state of the power grid token fusion system according to claim 1, characterized in that, The determining of the final weights of each evaluation index specifically includes: According to the pre-constructed evaluation index system for the operation status of the power grid information-physical fusion system, based on the analytic hierarchy process, calculate the subjective weight coefficients of each evaluation index; Based on the normalized data and the pre - constructed evaluation index system for the operation status of the power grid information - physical fusion system, calculate the objective weight coefficients of each evaluation index based on the entropy weight method; Calculate the comprehensive weight of each evaluation index according to the subjective weight coefficients and objective weight coefficients of each evaluation index. The specific expression is as follows: ； Where: is the comprehensive weight of the th evaluation index; is the label of the evaluation index; is the total number of evaluation indexes; is the subjective weight coefficient of the th evaluation index; is the objective weight coefficient of the th evaluation index.

6. The method for evaluating the state of a power grid token fusion system according to claim 1, characterized in that: The calculation of the comprehensive score specifically includes: Based on the analytic hierarchy process, divide the pre - constructed evaluation index system for the operation status of the power grid information - physical fusion system into a target layer, a criterion layer, a sub - criterion layer, and a scheme layer; According to the final weights of each evaluation index, obtain the final weights of each evaluation index in the scheme layer; According to the real - time data of the power grid information - physical fusion system, obtain the scores of each evaluation index in the scheme layer; Calculate the comprehensive score according to the scores of each evaluation index in the scheme layer and the final weights of each evaluation index in the scheme layer. The specific expression is as follows: ； Wherein: is the comprehensive score, is the label of the evaluation index in the scheme layer; is the total number of evaluation indexes in the scheme layer; is the th final weight of the evaluation index in the scheme layer; is the th score of the evaluation index in the scheme layer.

7. The method for evaluating the state of a power grid token fusion system according to claim 1, characterized in that: The evaluation of the operation status of the power grid information - physical fusion system specifically includes: Both the first evaluation result and the second evaluation result include a normal state, a warning state, and a fault state; When both the first evaluation result and the second evaluation result are in the normal state, evaluate the power grid information - physical fusion system as being in the normal state; When both the first evaluation result and the second evaluation result are in the warning state, evaluate the power grid information - physical fusion system as being in the warning state; When both the first evaluation result and the second evaluation result are in the fault state, evaluate the power grid information - physical fusion system as being in the fault state; When the first evaluation result and the second evaluation result are in the normal state and the warning state respectively, evaluate the power grid information - physical fusion system as being in the warning state; When the first evaluation result and the second evaluation result are in the normal state and the fault state respectively, evaluate the power grid information - physical fusion system as being in the fault state; When the first evaluation result and the second evaluation result are in the warning state and the fault state respectively, evaluate the power grid information - physical fusion system as being in the fault state.

8. An operating status evaluation device for a power grid token fusion system, characterized in that: It includes: Data acquisition module: used to collect the real - time data of the power grid information - physical fusion system according to the pre - constructed evaluation index system for the operation status of the power grid information - physical fusion system; among them, the evaluation index system for the operation status of the power grid information - physical fusion system includes multiple evaluation indexes; Data processing module: used to process and analyze the real - time data of the power grid information - physical fusion system to determine the normalized data; according to the normalized data and the pre - constructed evaluation index system for the operation status of the power grid information - physical fusion system, determine the evaluation thresholds of each evaluation index based on the diversified threshold setting method; Index weight calculation module: used to determine the final weights of each evaluation index based on the analytic hierarchy process and the entropy weight method according to the evaluation index system for the operation status of the power grid information - physical fusion system and the normalized data; Status evaluation module: used to compare the real - time data of the power grid information - physical fusion system with the evaluation thresholds of the corresponding evaluation indexes, and determine the first evaluation result according to the comparison result; calculate the comprehensive score according to the real - time data of the power grid information - physical fusion system and the final weights of each evaluation index, compare the comprehensive score with the preset threshold, and determine the second evaluation result according to the comparison result; Feedback module: used to evaluate the operating status of the power grid physical-digital fusion system according to the first evaluation result and the second evaluation result.

9. A terminal, characterized in that, It includes a processor and a storage medium; The storage medium is used to store instructions; The processor is used to operate according to the instructions to execute the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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