Fault monitoring and active control system and method for power system

Abstract

The invention relates to the technical field of power system fault monitoring, in particular to a power system fault monitoring and active control system and method.The method includes the steps that a three-dimensional model of a power distribution network in a target area is constructed, the power distribution network is divided in a refined mode, power parameters of all segments are analyzed in real time, and the operation fluctuation value of the power distribution network is calculated; the method comprises the following steps: determining whether abnormity exists or not, identifying and determining an abnormal segment when the abnormity of the power distribution network is detected, then analyzing the influence degree of the abnormal segment and carrying out grade division to evaluate the potential threat of the fault to the power distribution network, automatically matching a corresponding fault processing channel according to the grade of the influence degree of the abnormal segment, and executing corresponding control measures. Therefore, the fault source can be accurately identified, the control strategy is actively adjusted according to the actual influence condition of the fault, the influence of the fault on the power system is effectively reduced, and the stability and reliability of the system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system fault monitoring, and in particular to a power system fault monitoring and active control system and method. Background Art

[0002] In the existing power system architecture, especially in complex and changeable distribution network scenarios, rapid and accurate fault location and impact assessment after a fault occurs have become the core challenges to ensure the stable operation of the power system;

[0003] However, traditional fault monitoring mostly relies on power personnel to conduct regular monitoring and inspections according to regions or the entire system. This approach is not only inefficient and difficult to quickly locate the specific fault point when a fault occurs, but also overly dependent on manual intervention or preset response strategies;

[0004] When a fault does occur, this traditional monitoring method is often slow to respond and difficult to respond effectively in time, which prolongs the time for fault handling, reduces the efficiency and effect of fault handling, and further affects the stability of the power system and the reliability of power supply.

[0005] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0006] The purpose of the present invention is to solve the problem that traditional fault monitoring mostly relies on power personnel to conduct regular inspections according to areas or the entire system. When a fault occurs, it is impossible to quickly and accurately locate the fault point, nor can effective countermeasures be taken in time. A fault monitoring and active control system and method for a power system is proposed.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] A method for fault monitoring and active control of an electric power system comprises the following steps:

[0009] Step 1: Construct a three-dimensional model of the distribution network in the target area;

[0010] Step 2: Determine each section of the target area distribution network, and analyze the power parameters corresponding to each section to obtain the distribution operation change degree assessment coefficient corresponding to each section, and then calculate the distribution operation fluctuation value of the target area distribution network to determine whether to generate a distribution network abnormal signal. If a distribution network abnormal signal is generated, execute step 3;

[0011] Step 3: retrieve the distribution operation change degree assessment coefficient corresponding to each segment to determine whether to generate a fault impact degree monitoring signal. If a fault impact degree monitoring signal is generated, execute step 4;

[0012] Step 4: Analyze the impact status of each abnormal segment to obtain an impact assessment value of each abnormal segment to determine the impact level of each abnormal segment;

[0013] Step 5: Match the fault processing channel based on the impact level of each abnormal segment. The fault processing channel includes A fault processing channel and B fault processing channel. Among them, A fault processing channel performs backup facility conversion operation, and B fault processing channel performs distribution power adjustment operation;

[0014] Step 6: Monitor the conversion state information of the backup facility during the conversion process, obtain the current fluctuation value, the conversion voltage fluctuation value, the set temperature evaluation value and the power factor evaluation value, and calculate the conversion state evaluation coefficient to determine whether to trigger the cut-off instruction;

[0015] Step 7: Monitor the adjustment status information during the distribution power adjustment process to obtain the load change trend value to determine whether to trigger another adjustment instruction.

[0016] Furthermore, the specific process of constructing the three-dimensional model of the target area distribution network is as follows:

[0017] Collecting grid topology data and power parameter data, wherein the grid topology data includes the geographical location information of the power distribution equipment in the target area, detailed information and topological structure of the power distribution lines, and the power parameter data includes the voltage data, current data, temperature data and load data of the power distribution lines connected to the power distribution equipment in the target area;

[0018] The collected power grid topology data and power parameter data are imported into the 3D modeling tool to generate a 3D model of the distribution network in the target area.

[0019] Furthermore, the specific process of determining each segment of the target area distribution network is as follows:

[0020] The three-dimensional coordinate information of each distribution device and the distribution lines connected to the distribution terminals are extracted from the three-dimensional model of the distribution network in the target area, thereby determining the specific positions of each distribution device and the distribution terminals it serves in the three-dimensional model space, dividing the segments based on the connection relationship of the distribution equipment, and then obtaining the segments of the distribution network in the target area.

[0021] Furthermore, the specific process of determining whether to generate a power distribution network abnormality signal is as follows:

[0022] Real-time monitoring of the voltage Py of each segment of the target area distribution network at each monitoring time point in the current monitoring period i j , Current Pk i j , Temperature Pw i j and load Pfi j ;

[0023] Wherein, j represents the label of each segment, and j=1, 2, 3...n1, n1 represents the total number of segment labels, i represents the label of each monitoring time point in the current monitoring period, and i=1, 2, 3...n2, n2 represents the total number of labels of each monitoring time point in the current monitoring period;

[0024] At the same time, the voltage, current, temperature and load of each segment corresponding to the first monitoring time point are extracted as the calibration voltage Py1 j , calibration current Pk1 j , calibration temperature Pw1 j and rated load Pf1 j ;

[0025] According to the formula:

[0026] , calculate the distribution operation change degree evaluation coefficient Yxd corresponding to each segment j ;

[0027] Among them, θ1 i j It is expressed as the distribution operation evaluation index of the jth segment corresponding to the ith monitoring time point, θ2 i j It is expressed as the distribution operation change evaluation index of the jth segment corresponding to the ith monitoring time point, Py i-1 j , Pk i-1 j , Pw i-1 j and Pf i-1 j They represent the voltage, current, temperature and load of the j-th segment corresponding to the i-1-th monitoring time point, respectively; a1, a2, a3, a4, a5, a6, a7 and a8 represent the set value factors, respectively; a9 and a10 represent the set distribution operation degree evaluation index and distribution operation change evaluation index corresponding to the evaluation factors;

[0028] According to the formula: Calculate the distribution operation fluctuation value Ydw of the target area distribution network, where η represents the set correction factor;

[0029] The distribution operation fluctuation value of the target area distribution network is compared and analyzed with the preset distribution operation fluctuation threshold. When the distribution operation fluctuation value of the target area distribution network is greater than or equal to the preset distribution operation fluctuation threshold, a distribution network abnormal signal is generated.

[0030] Furthermore, the specific process of determining whether to generate a fault impact degree monitoring signal is as follows:

[0031] Compare and analyze the distribution operation change degree assessment coefficient corresponding to each segment with the set reference comparison interval. When the distribution operation change degree assessment coefficient corresponding to each segment is outside the set reference comparison interval, a segment fault signal is generated and the segment is marked as an abnormal segment.

[0032] The number of segment fault signals generated is counted and compared with the set number threshold. When the number of segment fault signals is greater than or equal to the set number threshold, a fault impact degree monitoring signal is generated.

[0033] Furthermore, the specific process of determining the impact level of each abnormal segment is as follows:

[0034] By obtaining the position coordinates of the center point corresponding to each abnormal segment and the position coordinates of the center point of the target area power grid, the distance between the center point of each abnormal segment and the center point of the target area power grid is calculated according to the coordinate difference between the two center points to obtain the distance value Wjz;

[0035] By obtaining the power demand information of the distribution terminals connected to each abnormal segment, the number of users, area and average power consumption are extracted from the power demand information, multiplied by the corresponding weight coefficients and then added to obtain the demand value Xqz of each abnormal segment;

[0036] By obtaining the load information carried by each abnormal segment, the load properties are extracted from the load information, and corresponding correction values ​​are assigned to the load properties;

[0037] Extract the load amount from the load information, and multiply the load amount by the corresponding correction value to obtain the load value Fhz of each abnormal segment;

[0038] Extract the distance value Wjz, demand value Xqz and load value Fhz of each abnormal segment for normalization processing according to the formula: Calculate the impact assessment value WXF of each abnormal segment, where λ 位距 , 需求 and λ 负荷 They are respectively expressed as weight coefficients of distance value, demand value and load value;

[0039] The impact level evaluation value of each abnormal segment is matched and analyzed with the impact level determination table, thereby obtaining the impact level of each abnormal segment.

[0040] Furthermore, the specific process of solving the current fluctuation value, the conversion voltage fluctuation value, the set temperature evaluation value and the power factor evaluation value is as follows:

[0041] Real-time acquisition of the conversion current and conversion voltage at each monitoring time point during the backup facility conversion process within a period of time, respectively recorded as ZH1 k and ZH2 k ; Wherein, k represents the number of each monitoring time point within a period of time, and k = 1, 2, 3...m, m represents the total number of the monitoring time point numbers within a period of time;

[0042] The conversion current and conversion voltage at each monitoring time point in the backup facility conversion process within a period of time are averaged to obtain the conversion average current value and conversion average voltage value in the backup facility conversion process within a period of time, which are respectively recorded as ZH1 & and ZH2 & ;

[0043] The conversion current and conversion voltage at the initial monitoring time point in the backup facility conversion process within a period of time are extracted respectively as the conversion initial current value and conversion initial voltage value in the backup facility conversion process within a period of time, which are recorded as ZH11 and ZH21 respectively;

[0044] According to the formula: Calculate the conversion current fluctuation value ZHL, where β1 and β2 represent the set correction coefficients respectively;

[0045] According to the formula: The conversion voltage fluctuation value ZHY is calculated, wherein β3 and β4 represent the set correction coefficients respectively;

[0046] The facility temperature at each monitoring time point during the standby facility conversion process within a period of time is obtained in real time, and the facility temperature at each monitoring time point during the standby facility conversion process within a period of time is compared and analyzed with the preset temperature reference comparison interval. If the facility temperature at a certain monitoring time point is outside the preset temperature reference comparison interval, the certain monitoring time point is marked as an abnormal time point, and the adjacent abnormal time points are integrated and added to obtain the facility temperature abnormal value, which is recorded as SS;

[0047] The maximum facility temperature and the minimum facility temperature are extracted from the facility temperature at each monitoring time point during the backup facility conversion process within a period of time and recorded as SW max and SW min ;

[0048] According to the formula: SWP = (SW max -SW min )×β5+SS×β6, calculate the set temperature assessment value SWP, where β5 and β6 represent the set correction coefficients respectively;

[0049] The power factor at each monitoring time point during the backup facility conversion process within a period of time is obtained in real time, and the power factor at each monitoring time point during the backup facility conversion process within a period of time is compared and analyzed with the preset power factor reference comparison interval. If the power factor at a certain monitoring time point is outside the preset power factor reference comparison interval, the certain monitoring time point is marked as an abnormal rate point, and the number of abnormal rate points is counted to obtain the power factor evaluation value GLP.

[0050] Furthermore, the specific analysis process for determining whether to trigger the cut-off instruction is as follows:

[0051] The values ​​of the conversion current fluctuation value ZHL, the conversion voltage fluctuation value ZHY, the set temperature evaluation value SWP and the power factor evaluation value GLP are extracted and normalized according to the formula: Calculate the conversion state evaluation coefficient Zsbp i ng, where μ1, μ2, μ3 and μ4 represent the weight coefficients of the conversion current fluctuation value, the conversion voltage fluctuation value, the set temperature evaluation value and the power factor evaluation value, respectively, and μ1>μ2>μ3>μ4;

[0052] Compare and analyze the conversion state evaluation coefficient with the set conversion state evaluation threshold value. When the conversion state evaluation coefficient is greater than or equal to the set conversion state evaluation threshold value, the backup facility conversion process is determined to be an abnormal state, and a conversion abnormality signal is generated;

[0053] According to the captured conversion abnormal signal, the cut-off instruction is triggered.

[0054] Furthermore, the specific process of determining whether to trigger the re-regulation instruction is as follows:

[0055] Obtain the load value of the distribution terminal during the distribution power adjustment process over a period of time in real time;

[0056] The load value of the distribution terminal in the process of adjusting the power distribution within a period of time is taken as the ordinate, and the period of time is taken as the abscissa. Based on this, a load dynamic coordinate system is established. The load value of the distribution terminal in the process of adjusting the power distribution within a period of time is plotted on the load dynamic coordinate system by plotting points and a load line graph is obtained. Two reference lines parallel to the x-axis are set on the load line graph. The number of plotted points above the upper reference line and the number of plotted points below the lower reference line are counted, which are recorded as F respectively. sam and F xia , according to the formula: Get the load change trend value Fzh i nng, where Ffz Δ Indicates the total number of points on the load line graph, γ1 and γ2 respectively represent the set weight coefficients, and γ1>γ2, δ1 and δ2 respectively represent the set correction coefficients;

[0057] Compare and analyze the load change trend value with the preset load change trend threshold value. When the load change trend value is greater than or equal to the preset load change trend threshold value, the power transmission amount adjustment process is determined to be an abnormal state, and an adjustment abnormality signal is generated;

[0058] According to the captured abnormal adjustment signal, the load change trend value is retrieved, and the difference between the load change trend value and the preset load change trend threshold is calculated to obtain the load change trend difference;

[0059] Substitute the load change trend difference into the corresponding preset difference range, set different difference ranges to correspond to a distribution power adjustment parameter, and trigger another control instruction.

[0060] Furthermore, a fault monitoring and active control system for an electric power system comprises:

[0061] Model building module, which is used to build a three-dimensional model of the distribution network in the target area based on the collected power grid topology data and power parameter data;

[0062] The segment division module is used to perform segment division processing and analysis on the target area distribution network to obtain the segments of the target area distribution network;

[0063] The distribution network analysis module is used to analyze the power parameters corresponding to each segment, obtain the distribution operation change degree evaluation coefficient corresponding to each segment, and analyze the distribution operation status of the target area distribution network to determine whether to generate a distribution network abnormal signal. If a distribution network abnormal signal is generated, it is sent to the abnormal segment analysis module;

[0064] The abnormal segment analysis module is used to receive the abnormal signal of the distribution network, and retrieve the distribution operation change degree assessment coefficient corresponding to each segment to determine whether to generate a fault impact degree monitoring signal. If a fault impact degree monitoring signal is generated, it is sent to the impact degree analysis module;

[0065] An impact degree analysis module is used to receive a fault impact degree monitoring signal, thereby analyzing the impact degree state of each abnormal segment, obtaining an impact degree evaluation value of each abnormal segment, and determining the impact degree level of each abnormal segment;

[0066] The control processing module is used to match the fault processing channel based on the impact level of each abnormal segment. The fault processing channel includes an A fault processing channel and a B fault processing channel. The A fault processing channel performs a backup facility conversion operation, and the B fault processing channel performs a distribution power adjustment operation, wherein:

[0067] The analysis and processing of the backup facility conversion process is as follows: monitoring the conversion state information during the backup facility conversion process, obtaining the current fluctuation value, the conversion voltage fluctuation value, the set temperature evaluation value and the power factor evaluation value, thereby calculating the conversion state evaluation coefficient to determine whether to trigger the cut-off instruction;

[0068] The analysis and processing of the distribution power adjustment process is as follows: monitoring the adjustment status information during the distribution power adjustment process, obtaining the load change trend value, and determining whether to trigger another adjustment instruction.

[0069] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:

[0070] The present invention divides the distribution network into segments based on the three-dimensional model of the distribution network in the target area, and performs real-time analysis on the power parameters of each segment of the distribution network in the target area, calculates the distribution operation fluctuation value of the distribution network in the target area, so as to judge whether the distribution network is abnormal. When the distribution network is abnormal, the distribution operation change degree assessment coefficient of each segment is retrieved, the abnormal segment is determined, and the influence degree of the abnormal segment is analyzed and graded, and the potential threat to the distribution network is assessed. According to the influence degree level of the abnormal segment, the corresponding fault processing channel is matched, so as to implement the corresponding control measures, and the process of implementing the control measures is monitored and analyzed, so as to perform control processing again, so as to achieve not only accurate detection of the fault source in the power system, but also active adjustment of the control strategy according to the actual situation of the fault impact, and reduce the influence of the fault on the system, so as to improve the self-healing ability and power supply reliability of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0072] Figure 1 It is a block diagram of the overall method of the present invention.

[0073] Figure 2 It is the overall module block diagram of the present invention. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0075] like Figure 1 As shown, a method for fault monitoring and active control of a power system comprises the following steps:

[0076] Step 1: Construct a three-dimensional model of the distribution network in the target area. The specific construction method is as follows:

[0077] The geographical location information of the power distribution equipment in the target area is obtained by using GIS to obtain the geographical location information of the power distribution equipment in the target area;

[0078] Obtain detailed information of the power distribution lines in the target area through the electronic map, and obtain detailed information of the power distribution lines in the target area, including the starting point, end point, path, length and the power distribution equipment to which the power distribution lines belong;

[0079] Establish association between the power distribution equipment in the target area and the power distribution lines connected to it to form a complete topological structure;

[0080] The distribution network topology data is composed of the geographical location information of the distribution equipment in the target area, the detailed information and topological structure of the distribution lines;

[0081] The voltage data, current data, temperature data and load data of the distribution lines connected to the distribution equipment in the target area are collected by sensors to obtain the voltage data, current data, temperature data and load data of the distribution lines connected to the distribution equipment in the target area;

[0082] The power parameter data is formed by the voltage data, current data, temperature data and load data of the distribution lines connected to the distribution equipment in the target area;

[0083] Import the power grid topology data and power parameter data into the 3D modeling tool through a data conversion interface (such as an API or a data import function) to generate a 3D model of the distribution network in the target area;

[0084] In a specific embodiment, the present invention generates a three-dimensional model of the distribution network in the target area by importing the collected power grid topology data and power parameter data into a three-dimensional modeling tool through a data conversion interface, thereby realizing a visual proportional restoration of the distribution network in the target area, which can not only intuitively display the overall layout of the distribution network, but also provide strong visual data support for the subsequent fault monitoring of the distribution network in the target area;

[0085] Step 2: Based on the three-dimensional model of the target area distribution network, the distribution operation status of the target area distribution network is analyzed. The specific analysis is as follows:

[0086] Extract the three-dimensional coordinate information of each distribution device and the distribution lines connected to the distribution terminals from the three-dimensional model of the distribution network in the target area, thereby determining the specific positions of each distribution device and the distribution terminals it serves in the three-dimensional model space, and further dividing the distribution network into segments. The specific method is as follows: dividing the segments based on the connection relationship of the distribution equipment, for example, dividing by the points of action of distribution transformers, switches, circuit breakers and other equipment, each device is responsible for a specific area, and the lines connected to the same distribution terminal are regarded as a segment during the division, thereby obtaining the segments of the distribution network in the target area;

[0087] It should be noted that these lines are interrelated in function. They jointly provide services for a specific distribution terminal. In this way, the distribution network in the target area is divided into several segments. Each segment contains equipment and lines that are closely related to its function. This segment division method takes into account both the physical connection relationship of the distribution equipment and their functional relationship, thereby ensuring the rationality and practicality of the division.

[0088] Real-time monitoring of the voltage, current, temperature and load of each segment of the target area distribution network at each monitoring time point in the current monitoring period, and marked them as Py i j , Pk i j , Pw i j and Pf i j ;

[0089] Wherein, j represents the label of each segment, and j=1, 2, 3...n1, n1 represents the total number of segment labels, i represents the label of each monitoring time point in the current monitoring period, and i=1, 2, 3...n2, n2 represents the total number of labels of each monitoring time point in the current monitoring period;

[0090] At the same time, the voltage, current, temperature and load of each segment corresponding to the first monitoring time point are extracted as the calibration voltage, calibration current, calibration temperature and calibration load, and marked as Py1 respectively.j ,Pk1 j 、Pw1 j and Pf1 j ;

[0091] According to the formula:

[0092] , calculate the distribution operation change degree evaluation coefficient Yxd corresponding to each segment j ;

[0093] Among them, θ1 i j It is expressed as the distribution operation evaluation index of the jth segment corresponding to the ith monitoring time point, θ2 i j It is expressed as the distribution operation change evaluation index of the jth segment corresponding to the ith monitoring time point, Py i-1 j , Pk i-1 j , Pw i-1 j and Pf i-1 j They represent the voltage, current, temperature and load of the j-th segment corresponding to the i-1-th monitoring time point, respectively; a1, a2, a3, a4, a5, a6, a7 and a8 represent the set value factors, respectively; a9 and a10 represent the set distribution operation degree evaluation index and distribution operation change evaluation index corresponding to the evaluation factors;

[0094] According to the formula: Calculate the distribution operation fluctuation value Ydw of the target area distribution network, where η represents the set correction factor;

[0095] Compare and analyze the distribution operation fluctuation value Ydw of the target area distribution network with the preset distribution operation fluctuation threshold value Yyz. When the distribution operation fluctuation value Ydw of the target area distribution network is greater than or equal to the preset distribution operation fluctuation threshold value Yyz, an abnormal distribution network signal is generated and step three is executed. Otherwise, a normal distribution network signal is generated.

[0096] Step 3: Based on the abnormal signal of the distribution network, the distribution operation change degree assessment coefficient corresponding to each segment is retrieved, and compared with the set reference comparison interval for analysis. When the distribution operation change degree assessment coefficient corresponding to each segment is outside the set reference comparison interval, a segment fault signal is generated, and the segment is marked as an abnormal segment. When the distribution operation change degree assessment coefficient corresponding to each segment is within the set reference comparison interval, a segment normal signal is generated, and the segment is marked as a normal segment.

[0097] Counting the number of segment fault signals generated, and comparing and analyzing the number with the set number threshold, when the number of segment fault signals is greater than or equal to the set number threshold, a fault impact monitoring signal is generated and step 4 is executed, otherwise, no signal is generated;

[0098] Step 4: Based on the fault impact monitoring signal, analyze the impact status of each abnormal segment. The specific analysis is as follows:

[0099] By obtaining the position coordinates of the center point corresponding to each abnormal segment and the position coordinates of the center point of the target area power grid, the distance between the center point of each abnormal segment and the center point of the target area power grid is calculated according to the coordinate difference between the two center points to obtain the distance value Wjz. The specific calculation formula is:

[0100]

[0101] Among them, x 节段 ,y 节段 Expressed as the coordinates of the center point of the abnormal segment, x 电网 ,y 电网 It is represented by the coordinates of the center point of the target area power grid. The smaller the distance value, the greater the impact of the abnormal segment on the target area power grid.

[0102] By obtaining the power demand information of the distribution terminals connected to each abnormal segment, the power demand information includes the number of users, regional area and average power consumption. The number of users, regional area and average power consumption in the power demand information are extracted and multiplied by the corresponding weight coefficients and then added to obtain the demand value of each abnormal segment, which is marked as Xqz. The larger the demand value, the greater the impact of the abnormal segment on the target area power grid.

[0103] It should be noted that the number of users refers to the number of users served by the segment-connected distribution terminals, the regional area refers to the geographical area served by the segment-connected distribution terminals, and the average power consumption refers to the average power consumption of users served by the segment-connected distribution terminals;

[0104] By obtaining the load information carried by each abnormal segment, the load information includes load amount and load nature;

[0105] Extract the load properties from the load information. The load properties include industrial load, medical load and residential load, and assign corresponding correction values ​​to the loads according to the load properties. The correction value assignment rule is: if the load property is industrial load, then the value is v1; if the load property is medical load, then the value is v2; if the load property is residential load, then the value is v3. Among them, v1>v2>v3, indicating that the impact of industrial load is the most important, followed by medical load, and finally residential load. The specific value assignment size will be set by technicians in this field according to the actual power grid operation situation;

[0106] The load amount is extracted from the load information, and the load amount is multiplied by the corresponding correction value to obtain the load value Fhz of each abnormal segment. The larger the load value, the greater the impact of the abnormal segment on the target area power grid.

[0107] Extract the distance value Wjz, demand value Xqz and load value Fhz of each abnormal segment for normalization processing according to the formula: Calculate the impact assessment value WXF of each abnormal segment, where λ 位距 , 需求 and λ 负荷 They are expressed as weight coefficients of distance value, demand value and load value, and their values ​​are 0.94, 0.99 and 0.88 respectively;

[0108] The impact level evaluation value of each abnormal segment is matched and analyzed with the impact level determination table stored in the cloud database, thereby obtaining the impact level of each abnormal segment, and each impact level evaluation value of each abnormal segment has an impact level corresponding to it, wherein the impact level includes primary impact level, secondary impact level, and tertiary impact level;

[0109] Step 5: Match the corresponding fault handling channel based on the impact level of each abnormal segment and execute the corresponding control measures. The specific analysis process is as follows:

[0110] If the impact level of a certain abnormal segment is monitored to be level one, the detailed information of the abnormal segment is transmitted to the A fault processing channel to perform the backup facility switching operation and execute step 6; wherein the detailed information includes the abnormal segment identifier, location information and impact level;

[0111] If the impact level of a certain abnormal segment is monitored to be level 2 or level 3, the detailed information of the abnormal segment is transmitted to the B fault processing channel to perform the distribution power adjustment operation, and then execute step 7;

[0112] Step 6: Monitor the conversion status information during the backup facility conversion process, and analyze and process the backup facility conversion process. The specific analysis process is as follows:

[0113] Real-time acquisition of the conversion current and conversion voltage at each monitoring time point during the backup facility conversion process within a period of time, respectively recorded as ZH1 k and ZH2 k ; Wherein, k represents the number of each monitoring time point within a period of time, and k = 1, 2, 3...m, m represents the total number of the monitoring time point numbers within a period of time;

[0114] The conversion current and conversion voltage at each monitoring time point in the backup facility conversion process within a period of time are averaged to obtain the conversion average current value and conversion average voltage value in the backup facility conversion process within a period of time, which are respectively recorded as ZH1 & and ZH2 & ;

[0115] The conversion current and conversion voltage at the initial monitoring time point in the backup facility conversion process within a period of time are extracted respectively as the conversion initial current value and conversion initial voltage value in the backup facility conversion process within a period of time, which are recorded as ZH11 and ZH21 respectively;

[0116] According to the formula: Calculate the conversion current fluctuation value ZHL, where β1 and β2 represent the set correction coefficients respectively;

[0117] According to the formula: The conversion voltage fluctuation value ZHY is calculated, wherein β3 and β4 represent the set correction coefficients respectively;

[0118] The facility temperature at each monitoring time point during the standby facility conversion process within a period of time is obtained in real time, and the facility temperature at each monitoring time point during the standby facility conversion process within a period of time is compared and analyzed with the preset temperature reference comparison interval. If the facility temperature at a certain monitoring time point is outside the preset temperature reference comparison interval, the certain monitoring time point is marked as an abnormal time point, and the adjacent abnormal time points are integrated and added to obtain the facility temperature abnormal value, which is recorded as SS;

[0119] The maximum facility temperature and the minimum facility temperature are extracted from the facility temperature at each monitoring time point during the backup facility conversion process within a period of time and recorded as SW max and SW min ;

[0120] According to the formula: SWP = (SW max -SW min )×β5+SS×β6, calculate the set temperature assessment value SWP, where β5 and β6 represent the set correction coefficients respectively;

[0121] The power factor of each monitoring time point in the backup facility conversion process within a period of time is obtained in real time, and the power factor of each monitoring time point in the backup facility conversion process within a period of time is compared and analyzed with the preset power factor reference comparison interval. If the power factor of a certain monitoring time point is outside the preset power factor reference comparison interval, the certain monitoring time point is marked as an abnormal rate point, and the number of abnormal rate points is counted to obtain the power factor evaluation value GLP;

[0122] The values ​​of the conversion current fluctuation value ZHL, the conversion voltage fluctuation value ZHY, the set temperature evaluation value SWP and the power factor evaluation value GLP are extracted and normalized according to the formula: Calculate the conversion state evaluation coefficient Zsbp i ng, where μ1, μ2, μ3 and μ4 represent the weight coefficients of the conversion current fluctuation value, the conversion voltage fluctuation value, the set temperature evaluation value and the power factor evaluation value, respectively, and μ1>μ2>μ3>μ4;

[0123] It should be noted that the power factor refers to the ratio of active power (power actually doing work) to apparent power (the product of voltage and current) during the conversion process of the backup facility;

[0124] Compare and analyze the conversion state evaluation coefficient with the set conversion state evaluation threshold value. When the conversion state evaluation coefficient is greater than or equal to the set conversion state evaluation threshold value, the backup facility conversion process is determined to be an abnormal state and a conversion abnormality signal is generated. Otherwise, the backup facility conversion process is determined to be a normal state and a conversion normal signal is generated.

[0125] According to the captured abnormal conversion signal, the cut-off instruction is triggered. According to the triggered cut-off instruction, the abnormal segment is immediately cut off to prevent the fault from further expanding.

[0126] Step 7: Monitor the adjustment status information during the distribution power adjustment process, and analyze and process the distribution power adjustment process. The specific analysis process is as follows:

[0127] Obtain the load value of the distribution terminal during the distribution power adjustment process over a period of time in real time;

[0128] The load value of the distribution terminal in the process of adjusting the power distribution within a period of time is taken as the ordinate, and the period of time is taken as the abscissa. Based on this, a load dynamic coordinate system is established. The load value of the distribution terminal in the process of adjusting the power distribution within a period of time is plotted on the load dynamic coordinate system by plotting points and a load line graph is obtained. Two reference lines parallel to the x-axis are set on the load line graph. The number of plotted points above the upper reference line and the number of plotted points below the lower reference line are counted, which are recorded as F respectively. sam and F xia , according to the formula: Get the load change trend value Fzh i nng, where Ffz Δ Indicates the total number of points on the load line graph, γ1 and γ2 respectively represent the set weight coefficients, and γ1>γ2, δ1 and δ2 respectively represent the set correction coefficients;

[0129] Compare and analyze the load change trend value with the preset load change trend threshold value. When the load change trend value is greater than or equal to the preset load change trend threshold value, the power transmission adjustment process is determined to be an abnormal state and an adjustment abnormality signal is generated. Otherwise, the power transmission adjustment process is determined to be a normal state and an adjustment normal signal is generated.

[0130] According to the captured abnormal adjustment signal, the load change trend value is retrieved, and the difference between the load change trend value and the preset load change trend threshold is calculated to obtain the load change trend difference;

[0131] Substitute the load change trend difference into the corresponding preset difference range, set different difference ranges to correspond to a distribution power adjustment parameter, and trigger a re-adjustment instruction, and adjust the distribution power again according to the re-adjustment instruction.

[0132] like Figure 2 As shown, a fault monitoring and active control system of a power system includes a fault monitoring platform, a server is arranged in the platform, and a model building module, a segment division module, a distribution network analysis module, an abnormal segment analysis module, an impact degree analysis module, a control processing module and a display terminal are connected to the server;

[0133] The model construction module is used to construct a three-dimensional model of the distribution network in the target area. The specific construction method is as follows:

[0134] Import the collected power grid topology data and power parameter data into the 3D modeling tool through the data conversion interface to generate a 3D model of the distribution network in the target area;

[0135] The power grid topology data includes the geographical location information of the power distribution equipment in the target area, the detailed information and topological structure of the power distribution lines, and the power parameter data includes the voltage data, current data, temperature data and load data of the power distribution lines connected to the power distribution equipment in the target area;

[0136] The segment division module is used to perform segment division processing and analysis on the target area distribution network based on the three-dimensional model of the target area distribution network. The specific analysis is as follows:

[0137] Extract the three-dimensional coordinate information of each distribution device and the distribution lines connected to the distribution terminals from the three-dimensional model of the distribution network in the target area, thereby determining the specific positions of each distribution device and the distribution terminals it serves in the three-dimensional model space, dividing the segments based on the connection relationship of the distribution devices, and then obtaining the segments of the distribution network in the target area;

[0138] The distribution network analysis module is used to analyze the distribution operation status of the distribution network in the target area. The specific analysis is as follows:

[0139] Real-time monitoring of the power parameters of the distribution network in the target area at each monitoring time point in each segment during the current monitoring period. The power parameters include voltage Py i j , Current Pk i j , Temperature Pw i j and load Pf i j ;

[0140] Wherein, j represents the label of each segment, and j=1, 2, 3...n1, n1 represents the total number of segment labels, i represents the label of each monitoring time point in the current monitoring period, and i=1, 2, 3...n2, n2 represents the total number of labels of each monitoring time point in the current monitoring period;

[0141] At the same time, the voltage, current, temperature and load of each segment corresponding to the first monitoring time point are extracted as the calibration voltage Py1 j , calibration current Pk1 j , calibration temperature Pw1 j and rated load Pf1 j ;

[0142] According to the formula:

[0143] Calculate the distribution operation change evaluation coefficient Yxd corresponding to each segment j ;

[0144] Among them, θ1 i j It is expressed as the distribution operation evaluation index of the jth segment corresponding to the ith monitoring time point, θ2 i j It is expressed as the distribution operation change evaluation index of the jth segment corresponding to the ith monitoring time point, Py i-1 j , Pk i-1 j , Pw i-1 j and Pf i-1 jThey represent the voltage, current, temperature and load of the j-th segment corresponding to the i-1-th monitoring time point, respectively; a1, a2, a3, a4, a5, a6, a7 and a8 represent the set value factors, respectively; a9 and a10 represent the set distribution operation degree evaluation index and distribution operation change evaluation index corresponding to the evaluation factors;

[0145] According to the formula: Calculate the distribution operation fluctuation value Ydw of the target area distribution network, where η represents the set correction factor;

[0146] Compare and analyze the distribution operation fluctuation value Ydw of the target area distribution network with the preset distribution operation fluctuation threshold value Yyz. When the distribution operation fluctuation value Ydw of the target area distribution network is greater than or equal to the preset distribution operation fluctuation threshold value, an abnormal distribution network signal is generated. Otherwise, a normal distribution network signal is generated.

[0147] The generated distribution network abnormality signal is sent to the abnormal section analysis module through the server;

[0148] The abnormal segment analysis module is used to receive abnormal signals of the distribution network, thereby retrieving the distribution operation change degree assessment coefficient corresponding to each segment, and comparing it with the set reference comparison interval. The specific analysis process is as follows:

[0149] When the distribution operation change degree assessment coefficient corresponding to each segment is outside the set reference comparison interval, a segment fault signal is generated and the segment is marked as an abnormal segment. When the distribution operation change degree assessment coefficient corresponding to each segment is within the set reference comparison interval, a segment normal signal is generated and the segment is marked as a normal segment.

[0150] Count the number of segment fault signals generated, and compare and analyze them with the set number threshold. When the number of segment fault signals is greater than or equal to the set number threshold, a fault impact degree monitoring signal is generated, otherwise, no signal is generated.

[0151] and sending the generated fault impact degree monitoring signal to the impact degree analysis module through the server;

[0152] The impact degree analysis module is used to receive the fault impact degree monitoring signal, and analyze the impact degree status of each abnormal segment. The specific analysis is as follows:

[0153] By obtaining the position coordinates of the center point corresponding to each abnormal segment and the position coordinates of the center point of the target area power grid, the distance between the center point of each abnormal segment and the center point of the target area power grid is calculated according to the coordinate difference between the two center points to obtain the distance value Wjz;

[0154] By obtaining the power demand information of the distribution terminals connected to each abnormal segment, the number of users, area and average power consumption are extracted from the power demand information, multiplied by the corresponding weight coefficients and then added to obtain the demand value Xqz of each abnormal segment;

[0155] By obtaining the load information carried by each abnormal segment, the load properties are extracted from the load information, and corresponding correction values ​​are assigned to the load properties;

[0156] Extract the load amount from the load information, and multiply the load amount by the corresponding correction value to obtain the load value Fhz of each abnormal segment;

[0157] Extract the distance value Wjz, demand value Xqz and load value Fhz of each abnormal segment for normalization processing according to the formula: Calculate the impact assessment value WXF of each abnormal segment, where λ 位距 , 需求 and λ 负荷 They are respectively expressed as weight coefficients of distance value, demand value and load value;

[0158] The impact level evaluation value of each abnormal segment is matched and analyzed with the impact level determination table stored in the system, thereby obtaining the impact level of each abnormal segment, and each impact level evaluation value of each abnormal segment has an impact level corresponding to it, wherein the impact level includes primary impact level, secondary impact level, and tertiary impact level;

[0159] The control processing module is used to match the corresponding fault processing channel based on the impact level of each abnormal segment and execute the corresponding control measures. The specific analysis is as follows:

[0160] If the impact level of a certain abnormal segment is monitored to be level 1, the detailed information of the abnormal segment is transmitted to the A fault processing channel to perform the backup facility switching operation, wherein the detailed information includes the abnormal segment identifier, location information and impact level;

[0161] If the impact level of a certain abnormal segment is monitored to be level 2 or level 3, the detailed information of the abnormal segment is transmitted to the B fault processing channel to perform distribution power adjustment operations;

[0162] The conversion status information of the backup facility conversion process is monitored, and the backup facility conversion process is analyzed and processed. The specific analysis process is as follows:

[0163] Real-time acquisition of the conversion current and conversion voltage at each monitoring time point during the backup facility conversion process within a period of time, respectively recorded as ZH1 k and ZH2 k; Wherein, k represents the number of each monitoring time point within a period of time, and k = 1, 2, 3...m, m represents the total number of the monitoring time point numbers within a period of time;

[0164] The conversion current and conversion voltage at each monitoring time point in the backup facility conversion process within a period of time are averaged to obtain the conversion average current value and conversion average voltage value in the backup facility conversion process within a period of time, which are respectively recorded as ZH1 & and ZH2 & ;

[0165] The conversion current and conversion voltage at the initial monitoring time point in the backup facility conversion process within a period of time are extracted respectively as the conversion initial current value and conversion initial voltage value in the backup facility conversion process within a period of time, which are recorded as ZH11 and ZH21 respectively;

[0166] According to the formula: Calculate the conversion current fluctuation value ZHL, where β1 and β2 represent the set correction coefficients respectively;

[0167] According to the formula: The conversion voltage fluctuation value ZHY is calculated, wherein β3 and β4 represent the set correction coefficients respectively;

[0168] The facility temperature at each monitoring time point during the standby facility conversion process within a period of time is obtained in real time, and the facility temperature at each monitoring time point during the standby facility conversion process within a period of time is compared and analyzed with the preset temperature reference comparison interval. If the facility temperature at a certain monitoring time point is outside the preset temperature reference comparison interval, the certain monitoring time point is marked as an abnormal time point, and the adjacent abnormal time points are integrated and added to obtain the facility temperature abnormal value, which is recorded as SS;

[0169] The maximum facility temperature and the minimum facility temperature are extracted from the facility temperature at each monitoring time point during the backup facility conversion process within a period of time and recorded as SW max and SW min ;

[0170] According to the formula: SWP = (SW max -SW min )×β5+SS×β6, calculate the set temperature assessment value SWP, where β5 and β6 represent the set correction coefficients respectively;

[0171] The power factor of each monitoring time point in the backup facility conversion process within a period of time is obtained in real time, and the power factor of each monitoring time point in the backup facility conversion process within a period of time is compared and analyzed with the preset power factor reference comparison interval. If the power factor of a certain monitoring time point is outside the preset power factor reference comparison interval, the certain monitoring time point is marked as an abnormal rate point, and the number of abnormal rate points is counted to obtain the power factor evaluation value GLP;

[0172] The values ​​of the conversion current fluctuation value ZHL, the conversion voltage fluctuation value ZHY, the set temperature evaluation value SWP and the power factor evaluation value GLP are extracted and normalized according to the formula: Calculate the conversion state evaluation coefficient Zsbp i ng, where μ1, μ2, μ3 and μ4 represent the weight coefficients of the conversion current fluctuation value, the conversion voltage fluctuation value, the set temperature evaluation value and the power factor evaluation value, respectively, and μ1>μ2>μ3>μ4;

[0173] Compare and analyze the conversion state evaluation coefficient with the set conversion state evaluation threshold value. When the conversion state evaluation coefficient is greater than or equal to the set conversion state evaluation threshold value, the backup facility conversion process is determined to be an abnormal state and a conversion abnormality signal is generated. Otherwise, the backup facility conversion process is determined to be a normal state and a conversion normal signal is generated.

[0174] According to the captured abnormal conversion signal, the cut-off instruction is triggered. According to the triggered cut-off instruction, the abnormal segment is immediately cut off to prevent the fault from further expanding, and a display notification is made on the display terminal;

[0175] The adjustment status information of the distribution power adjustment process is monitored, and the distribution power adjustment process is analyzed and processed. The specific analysis process is as follows:

[0176] Obtain the load value of the distribution terminal during the distribution power adjustment process over a period of time in real time;

[0177] The load value of the distribution terminal in the process of adjusting the power distribution within a period of time is taken as the ordinate, and the period of time is taken as the abscissa. Based on this, a load dynamic coordinate system is established. The load value of the distribution terminal in the process of adjusting the power distribution within a period of time is plotted on the load dynamic coordinate system by plotting points and a load line graph is obtained. Two reference lines parallel to the x-axis are set on the load line graph. The number of plotted points above the upper reference line and the number of plotted points below the lower reference line are counted, which are recorded as F respectively. sam and F xia , according to the formula: Get the load change trend value Fzh i nng, where Ffz ΔIndicates the total number of points on the load line graph, γ1 and γ2 respectively represent the set weight coefficients, and γ1>γ2, δ1 and δ2 respectively represent the set correction coefficients;

[0178] Compare and analyze the load change trend value with the preset load change trend threshold value. When the load change trend value is greater than or equal to the preset load change trend threshold value, the power transmission adjustment process is determined to be an abnormal state and an adjustment abnormality signal is generated. Otherwise, the power transmission adjustment process is determined to be a normal state and an adjustment normal signal is generated.

[0179] According to the captured abnormal adjustment signal, the load change trend value is retrieved, and the difference between the load change trend value and the preset load change trend threshold is calculated to obtain the load change trend difference;

[0180] Substitute the load change trend difference into the corresponding preset difference range, set different difference ranges to correspond to a distribution power adjustment parameter, and trigger a re-adjustment instruction. Adjust the distribution power again according to the re-adjustment instruction and display a notification on the display terminal.

[0181] And, a fault monitoring and active control system of an electric power system is implemented according to the fault monitoring and active control method of an electric power system, which can be referred to above and will not be described in detail.

[0182] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for fault monitoring and active control of a power system, comprising the following steps: A three-dimensional model of the target area distribution network is constructed, each segment of the target area distribution network is determined, and the power parameters corresponding to each segment are analyzed to obtain the distribution operation change degree evaluation coefficient corresponding to each segment, and then the distribution operation fluctuation value of the target area distribution network is calculated to determine whether to generate a distribution network abnormal signal, characterized in that: If a distribution network abnormality signal is generated, the distribution operation change degree assessment coefficient corresponding to each section is retrieved to determine whether a fault impact degree monitoring signal is generated; If a fault impact degree monitoring signal is generated, the impact degree state of each abnormal segment is analyzed to obtain an impact degree assessment value of each abnormal segment to determine the impact degree level of each abnormal segment; Match the fault processing channels based on the impact level of each abnormal segment. The fault processing channels include A fault processing channel and B fault processing channel. Among them, A fault processing channel performs backup facility conversion operation, and B fault processing channel performs distribution power adjustment operation; Monitor the conversion state information during the conversion process of the backup facilities to obtain the current fluctuation value, the conversion voltage fluctuation value, the set temperature evaluation value and the power factor evaluation value, thereby calculating the conversion state evaluation coefficient to determine whether to trigger the cut-off instruction; Monitor the adjustment status information during the distribution power adjustment process and obtain the load change trend value to determine whether to trigger another adjustment instruction.

2. A method for fault monitoring and active control of a power system according to claim 1, characterized in that: The specific process of constructing the three-dimensional model of the target area distribution network is as follows: Collecting grid topology data and power parameter data, wherein the grid topology data includes the geographical location information of the power distribution equipment in the target area, detailed information and topological structure of the power distribution lines, and the power parameter data includes the voltage data, current data, temperature data and load data of the power distribution lines connected to the power distribution equipment in the target area; The collected power grid topology data and power parameter data are imported into the 3D modeling tool to generate a 3D model of the distribution network in the target area.

3. A method for fault monitoring and active control of a power system according to claim 1, characterized in that: The specific process of determining each segment of the target area distribution network is as follows: The three-dimensional coordinate information of each distribution device and the distribution lines connected to the distribution terminals are extracted from the three-dimensional model of the distribution network in the target area, thereby determining the specific positions of each distribution device and the distribution terminals it serves in the three-dimensional model space, dividing the segments based on the connection relationship of the distribution equipment, and then obtaining the segments of the distribution network in the target area.

4. A method for fault monitoring and active control of a power system according to claim 1, characterized in that: The specific process of determining whether to generate a distribution network abnormality signal is as follows: Real-time monitoring of the voltage Py of each segment of the target area distribution network at each monitoring time point in the current monitoring period i j , Current Pk i j , Temperature Pw i j and load Pf i j ; Wherein, j represents the label of each segment, and j=1, 2, 3...n1, n1 represents the total number of segment labels, i represents the label of each monitoring time point in the current monitoring period, and i=1, 2, 3...n2, n2 represents the total number of labels of each monitoring time point in the current monitoring period; At the same time, the voltage, current, temperature and load of each segment corresponding to the first monitoring time point are extracted as the calibration voltage Py1 j , calibration current Pk1 j , calibration temperature Pw1 j and rated load Pf1 j ; According to the formula: Calculate the distribution operation change evaluation coefficient Yxd corresponding to each segment j ; Among them, θ1 i j It is expressed as the distribution operation evaluation index of the jth segment corresponding to the ith monitoring time point, θ2 i j It is expressed as the distribution operation change evaluation index of the jth segment corresponding to the ith monitoring time point, Py i-1 j , Pk i-1 j , Pw i-1 j and Pf i-1 j They represent the voltage, current, temperature and load of the j-th segment corresponding to the i-1-th monitoring time point, respectively; a1, a2, a3, a4, a5, a6, a7 and a8 represent the set value factors, respectively; a9 and a10 represent the set distribution operation degree evaluation index and distribution operation change evaluation index corresponding to the evaluation factors; According to the formula: Calculate the distribution operation fluctuation value Ydw of the target area distribution network, where η represents the set correction factor; The distribution operation fluctuation value of the target area distribution network is compared and analyzed with the preset distribution operation fluctuation threshold. When the distribution operation fluctuation value of the target area distribution network is greater than or equal to the preset distribution operation fluctuation threshold, a distribution network abnormal signal is generated.

5. A method for fault monitoring and active control of a power system according to claim 1, characterized in that: The specific process of determining whether to generate a fault impact degree monitoring signal is as follows: Compare and analyze the distribution operation change degree assessment coefficient corresponding to each segment with the set reference comparison interval. When the distribution operation change degree assessment coefficient corresponding to each segment is outside the set reference comparison interval, a segment fault signal is generated and the segment is marked as an abnormal segment. The number of segment fault signals generated is counted and compared with the set number threshold. When the number of segment fault signals is greater than or equal to the set number threshold, a fault impact degree monitoring signal is generated.

6. A method for fault monitoring and active control of a power system according to claim 1, characterized in that: The specific process of determining the impact level of each abnormal segment is as follows: By obtaining the position coordinates of the center point corresponding to each abnormal segment and the position coordinates of the center point of the target area power grid, the distance between the center point of each abnormal segment and the center point of the target area power grid is calculated according to the coordinate difference between the two center points to obtain the distance value; By obtaining the power demand information of the distribution terminals connected to each abnormal segment, the number of users, area and average power consumption are extracted from the power demand information, multiplied by the corresponding weight coefficients and then added to obtain the demand value of each abnormal segment; By obtaining the load information carried by each abnormal segment, the load properties are extracted from the load information, and corresponding correction values ​​are assigned to the load properties; Extracting the load amount from the load information, and multiplying the load amount with the corresponding correction value to obtain the load value of each abnormal segment; Extract the distance value, demand value and load value of each abnormal segment and perform normalization processing to obtain the impact assessment value of each abnormal segment; The impact level evaluation value of each abnormal segment is matched and analyzed with the impact level determination table, thereby obtaining the impact level of each abnormal segment.

7. A method for fault monitoring and active control of a power system according to claim 1, characterized in that: The specific process of solving the current fluctuation value, conversion voltage fluctuation value, set temperature evaluation value and power factor evaluation value is as follows: Real-time acquisition of the conversion current and conversion voltage at each monitoring time point during the backup facility conversion process within a period of time, respectively recorded as ZH1 k and ZH2 k ; Wherein, k represents the number of each monitoring time point within a period of time, and k = 1, 2, 3...m, m represents the total number of the monitoring time point numbers within a period of time; The conversion current and conversion voltage at each monitoring time point in the backup facility conversion process within a period of time are averaged to obtain the conversion average current value and conversion average voltage value in the backup facility conversion process within a period of time, which are respectively recorded as ZH1 & and ZH2 & ; The conversion current and conversion voltage at the initial monitoring time point in the backup facility conversion process within a period of time are extracted respectively as the conversion initial current value and conversion initial voltage value in the backup facility conversion process within a period of time, which are recorded as ZH11 and ZH21 respectively; According to the formula: Calculate the conversion current fluctuation value ZHL, where β1 and β2 represent the set correction coefficients respectively; According to the formula: The conversion voltage fluctuation value ZHY is calculated, wherein β3 and β4 represent the set correction coefficients respectively; The facility temperature at each monitoring time point during the backup facility conversion process within a period of time is obtained in real time, and compared with the preset temperature reference comparison interval. If the facility temperature at a certain monitoring time point is outside the preset temperature reference comparison interval, the monitoring time point is marked as an abnormal time point, and the adjacent abnormal time points are integrated and added to obtain the facility temperature out-of-time value, which is recorded as SS. The maximum facility temperature and the minimum facility temperature are extracted from the facility temperature at each monitoring time point during the backup facility conversion process within a period of time and recorded as SW max and SW min ; According to the formula: SWP = (SW max -SW min )×β5+SS×β6, calculate the set temperature assessment value SWP, where β5 and β6 represent the set correction coefficients respectively; The power factor of each monitoring time point during the backup facility conversion process within a period of time is obtained in real time, and compared with the preset power factor reference comparison interval. If the power factor at a certain monitoring time point is outside the preset power factor reference comparison interval, the certain monitoring time point is marked as an abnormal rate point, and the number of abnormal rate points is counted to obtain the power factor evaluation value GLP.

8. A method for fault monitoring and active control of a power system according to claim 1, characterized in that: The specific analysis process to determine whether to trigger the cut-off instruction is as follows: The values ​​of the conversion current fluctuation value ZHL, the conversion voltage fluctuation value ZHY, the set temperature evaluation value SWP and the power factor evaluation value GLP are extracted and normalized according to the formula: Calculate the conversion state evaluation coefficient Zsbping, where μ1, μ2, μ3 and μ4 represent the weight coefficients of the conversion current fluctuation value, the conversion voltage fluctuation value, the set temperature evaluation value and the power factor evaluation value, respectively, and μ1>μ2>μ3>μ4; Compare and analyze the conversion state evaluation coefficient with the set conversion state evaluation threshold value. When the conversion state evaluation coefficient is greater than or equal to the set conversion state evaluation threshold value, the backup facility conversion process is determined to be an abnormal state, and a conversion abnormality signal is generated; According to the captured conversion abnormal signal, the cut-off instruction is triggered.

9. A method for fault monitoring and active control of a power system according to claim 1, characterized in that: The specific process of determining whether to trigger a re-regulation instruction is as follows: Obtain the load value of the distribution terminal during the distribution power adjustment process over a period of time in real time; The load value of the distribution terminal in the process of adjusting the power distribution within a period of time is taken as the ordinate, and the period of time is taken as the abscissa. Based on this, a load dynamic coordinate system is established. The load value of the distribution terminal in the process of adjusting the power distribution within a period of time is plotted on the load dynamic coordinate system by plotting points and a load line graph is obtained. Two reference lines parallel to the x-axis are set on the load line graph. The number of plotted points above the upper reference line and the number of plotted points below the lower reference line are counted, which are recorded as F respectively. sam and F xia , according to the formula: Get the load change trend value Fzhinng, where Ffz Δ Indicates the total number of points on the load line graph, γ1 and γ2 respectively represent the set weight coefficients, and γ1>γ2, δ1 and δ2 respectively represent the set correction coefficients; Compare and analyze the load change trend value with the preset load change trend threshold value. When the load change trend value is greater than or equal to the preset load change trend threshold value, the power transmission amount adjustment process is determined to be an abnormal state, and an adjustment abnormality signal is generated; According to the captured abnormal adjustment signal, the load change trend value is retrieved, and the difference between the load change trend value and the preset load change trend threshold is calculated to obtain the load change trend difference; Substitute the load change trend difference into the corresponding preset difference range, set different difference ranges to correspond to a distribution power adjustment parameter, and trigger another control instruction.

10. A fault monitoring and active control system for an electric power system, applied to a fault monitoring and active control method for an electric power system as claimed in claim 1, characterized in that: include: Model building module, which is used to build a three-dimensional model of the distribution network in the target area based on the collected power grid topology data and power parameter data; The segment division module is used to perform segment division processing and analysis on the target area distribution network to obtain the segments of the target area distribution network; The distribution network analysis module is used to analyze the power parameters corresponding to each segment, obtain the distribution operation change degree evaluation coefficient corresponding to each segment, and analyze the distribution operation status of the target area distribution network to determine whether to generate a distribution network abnormal signal. If a distribution network abnormal signal is generated, it is sent to the abnormal segment analysis module; The abnormal segment analysis module is used to receive the abnormal signal of the distribution network, and retrieve the distribution operation change degree assessment coefficient corresponding to each segment to determine whether to generate a fault impact degree monitoring signal. If a fault impact degree monitoring signal is generated, it is sent to the impact degree analysis module; An impact degree analysis module is used to receive a fault impact degree monitoring signal, thereby analyzing the impact degree state of each abnormal segment, obtaining an impact degree evaluation value of each abnormal segment, and determining the impact degree level of each abnormal segment; The control processing module is used to match the fault processing channel based on the impact level of each abnormal segment. The fault processing channel includes an A fault processing channel and a B fault processing channel. The A fault processing channel performs a backup facility conversion operation, and the B fault processing channel performs a distribution power adjustment operation, wherein: The analysis and processing of the backup facility conversion process is as follows: monitoring the conversion state information during the backup facility conversion process, obtaining the current fluctuation value, the conversion voltage fluctuation value, the set temperature evaluation value and the power factor evaluation value, thereby calculating the conversion state evaluation coefficient to determine whether to trigger the cut-off instruction; The analysis and processing of the distribution power adjustment process is as follows: monitoring the adjustment status information during the distribution power adjustment process, obtaining the load change trend value, and determining whether to trigger another adjustment instruction.

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