Power distribution network low voltage early warning analysis method and system

Abstract

The application relates to the technical field of power distribution network low-voltage early warning, and discloses a power distribution network low-voltage early warning analysis method and system, which comprises a region evaluation module, a region low-voltage decision module and a region risk early warning management module; the region evaluation module respectively acquires a device risk evaluation coefficient of a power distribution device in a first region and an electric energy quality evaluation coefficient of the first region in each sampling period; and the region risk early warning management module respectively executes a device risk early warning management strategy or an electric energy quality early warning management strategy after a device risk early warning instruction or an electric energy quality early warning instruction is sent out. The system can analyze the non-explicit factors of faults in the current environment based on the specific conditions of the power distribution device, can send out early warnings and guide dispatching and device updating in each stage, and realizes operability of the whole early warning process.

Description

Technical Field

[0001] This invention relates to the field of low voltage early warning technology for distribution networks, specifically to a low voltage early warning analysis method and system for distribution networks. Background Technology

[0002] Voltage, as an important indicator of power quality, is one of the basic conditions for ensuring the company's power supply service. In recent years, with the continuous and stable development of the social economy and the continuous improvement of the consumption level of urban and rural residents, the electricity load of urban and rural residents has surged. The power supply voltage in some areas is too low, making low voltage in the distribution network a long-term, dynamic, and systemic problem that can no longer adequately meet the normal electricity needs of residents. Monitoring and analyzing low voltage is the key to ensuring the reliable operation of the power grid.

[0003] Currently, most low-voltage analysis systems in use only display voltage data on terminals and provide low-voltage event warnings. They lack early warning analysis and governance decision-making mechanisms, resulting in low automation levels and falling far short of the goals for managing low voltage. Therefore, to improve the automated management level of low voltage in distribution networks and ensure power supply reliability and voltage qualification rates, there is an urgent need for a system that integrates monitoring, early warning, and governance decision-making. This system would enable effective monitoring and early warning of low voltage in distribution networks, thereby improving the operational efficiency and lean management level of the power grid. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method and system for analyzing low voltage in power distribution networks, which has advantages such as providing early warnings of low voltage in power distribution networks and solves the aforementioned technical problems.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a distribution network low voltage early warning analysis system, including a regional assessment module, a regional low voltage decision module, and a regional risk early warning management module;

[0006] The regional assessment module in each sampling period Get the first one respectively Equipment risk assessment coefficient for power distribution equipment within the area and the Power quality assessment coefficient for each region The regional low voltage decision module is based on the first Equipment risk assessment coefficient for power distribution equipment within the area The regional low-voltage decision module determines whether to issue a device risk warning command based on the first... Power quality assessment coefficient for each region Determine whether to issue a power quality warning command;

[0007] After the equipment risk warning command or power quality warning command is issued, the regional risk warning management module executes the equipment risk warning management strategy or the power quality warning management strategy respectively.

[0008] The regional assessment module also constructs a safety margin assessment coefficient based on equipment risk warning commands and power quality warning commands. It then calls the regional low voltage decision module to determine whether to issue a safety margin warning command, and calls the safety margin warning management unit to execute the safety margin warning management strategy.

[0009] As a preferred embodiment of the present invention, the regional assessment module includes a regional equipment risk assessment unit, a regional power quality assessment unit, and a regional safety margin assessment unit. The regional equipment risk assessment unit is used to assess the regional equipment risk of the first... The power distribution equipment within each area was assessed, and a risk assessment coefficient for the equipment was provided. The regional power quality assessment unit is based on the previous sampling period. Conduct an assessment and provide the first Power quality assessment coefficient for each region The regional security margin assessment unit is based on the first Equipment risk assessment coefficient for each region and power quality assessment coefficient Comprehensive construction of safety margin assessment coefficients .

[0010] As a preferred embodiment of the present invention, the specific execution steps of the regional equipment risk assessment unit are as follows:

[0011] Step A1: Obtain the first The deviation rate between the temperature of all power distribution equipment in each region and the median safe temperature was selected, and the maximum value was taken as the first deviation rate. Maximum temperature deviation rate in each region;

[0012] Obtaining sampling time period The next The area of ​​color difference between the image taken through the observation window in each region and the image taken at the previous moment is related to the area of ​​color difference between the image taken at the observation window in the previous moment and the area of ​​color difference in the previous moment. The ratio of the initial area of ​​the transformer-captured image in each region;

[0013] Obtaining sampling time period The deviation rate between the transformer oil level and the initial value of the transformer oil level;

[0014] The average of the three is then calculated to obtain the first... Comprehensive evaluation coefficient of power distribution equipment in each region ;

[0015] Step A2: Obtain the first The mean deviation rate of all environmental parameters of power distribution equipment in each region from the standard operating environment range and the equipment connection loosening rate are calculated, and then averaged to obtain the first... Fault assessment coefficient of power distribution equipment in each region ;

[0016] The loosening rate of the equipment connection is the ratio of the total number of parts that need to be tightened to the total number of all parts during the last maintenance process, which is proactively reported by the staff.

[0017] Step A3: Based on the information obtained in Step A1... Comprehensive evaluation coefficient of power distribution equipment in each region and the first obtained in step A2 Fault assessment coefficient of power distribution equipment in each region Weighted construction of the first Equipment risk assessment coefficient for power distribution equipment within the area .

[0018] As a preferred embodiment of the present invention, the specific execution steps of the regional power quality assessment unit are as follows:

[0019] Step B1: Obtain the sampling period A voltage line graph, and all those in The voltage within the range is considered the standard voltage. Treating all inflection points as abrupt change points, the voltage at each abrupt change point and the standard voltage are obtained respectively. The maximum deviation rate between them, and the voltage at the abrupt change point and the standard voltage. The mean of the deviation rates between them is used to calculate the weighted average of the two to obtain the first value. Comprehensive power quality coefficient of each region ;

[0020] in, Represents the fluctuation constant;

[0021] Step B2: Sampling time period Divided into equal intervals The data is processed by taking a sample, obtaining the average voltage value within each sample interval, calculating the average deviation rate between the average voltage value within each sample interval and the standard voltage, and then summing and averaging the results to obtain the first sample. Voltage stability evaluation coefficient for each region ;

[0022] Step B3: Based on the first step in step B1 Comprehensive power quality coefficient of each region and obtain the first in step B2 Voltage stability evaluation coefficient for each region The mean was calculated to obtain the first Power quality assessment coefficient for each region .

[0023] As a preferred embodiment of the present invention, the regional low voltage decision module includes an equipment risk decision unit, a power quality decision unit, and a safety margin decision unit.

[0024] The equipment risk decision-making unit outputs the first [item] from the regional equipment risk assessment unit. Equipment risk assessment coefficient for power distribution equipment within the area When it is called, a judgment is made simultaneously, when the first Equipment risk assessment coefficient for power distribution equipment within the area Exceeding the set equipment risk assessment threshold It issues equipment risk warning commands in a timely manner and invokes the equipment risk warning management unit to execute equipment risk warning management strategies;

[0025] The power quality decision unit outputs the first [unit name] in the regional power quality assessment unit. Power quality assessment coefficient for each region When it is called, a judgment is made simultaneously, when the first Power quality assessment coefficient for each region Exceeding the set comprehensive power quality threshold When necessary, a power quality early warning command is issued, and the power quality early warning management unit is invoked to execute the power quality early warning management strategy;

[0026] Comprehensive power quality threshold By reading historical data and recording the corresponding power quality assessment coefficient in the previous sampling period when a low voltage alarm is issued in the historical data, and then taking the mean after removing the extreme values, the power quality assessment coefficient is obtained.

[0027] As a preferred technical solution of the present invention, the regional risk early warning management module includes an equipment risk early warning management unit, a power quality early warning management unit, and a safety margin early warning management unit;

[0028] The equipment risk warning management unit is invoked upon receiving an equipment risk warning instruction and executes the equipment risk warning management strategy. The specific steps are as follows:

[0029] Dispatch staff for the first The power distribution equipment in each area was inspected and repaired, and the first... The values ​​of all temperature sensors in each region are in the first phase of the construction. Display the 3D model corresponding to the power distribution equipment in each area, and display the first... Maximum temperature deviation rate in each region The corresponding temperature sensor is differentially labeled;

[0030] The power quality early warning management unit is called when receiving a power quality early warning instruction, and executes a power quality early warning management strategy, and the specific steps are as follows:

[0031] The first The temperature sensor in the three-dimensional model corresponding to the regional power distribution equipment is labeled, and the working log of the first Regional power distribution equipment in the sampling period is obtained and stored correspondingly.

[0032] As a preferred technical solution of the present application, the regional safety margin evaluation unit is based on the device risk evaluation coefficient and the power quality evaluation coefficient of the first region to construct a safety margin evaluation coefficient , and the specific steps are as follows:

[0033] Step C1: Determine whether a device risk early warning instruction is issued;

[0034] If the device risk early warning instruction is issued, set the first Regional device early warning coefficient The proportion of the device risk evaluation coefficient of the power distribution equipment in the first region exceeds the set device risk evaluation threshold , if the device risk early warning instruction is not issued, set ;

[0035] Step C2: Determine whether a power quality early warning instruction is issued;

[0036] If the power quality early warning instruction is issued, set the first Regional power quality early warning coefficient The proportion of the power quality evaluation coefficient of the first region exceeds the set power quality comprehensive threshold , if the power quality early warning instruction is not issued, set ;

[0037] Step C3: Based on the first Regional device early warning coefficient of step C1 and the first Regional power quality early warning coefficient of step C2, a safety margin evaluation coefficient is constructed, specifically: the first ​​Regional device early warning coefficient And the Regional power quality early warning coefficient After weighted summation, the difference between the voltage average of the sampling period And the preset low voltage alarm value is multiplied to obtain the safety margin evaluation coefficient .

[0038] As a preferred technical solution of the present application, the safety margin decision unit is called after the regional safety margin evaluation unit outputs the safety margin evaluation coefficient , and judges at the same time. When the safety margin evaluation coefficient Is lower than the preset safety margin evaluation threshold , a safety margin early warning instruction is issued, and the safety margin early warning management unit is called to execute the safety margin early warning management strategy.

[0039] As a preferred technical solution of the present application, the safety margin early warning management unit is called when receiving the safety margin early warning instruction, and executes the safety margin early warning management strategy, and the specific steps are as follows:

[0040] Step D1: read the safety margin evaluation coefficient set of all regional power distribution devices ;

[0041] Step D2: based on the safety margin evaluation coefficient set of all regional power distribution devices Dispatch point distance set of the dispatch point distance of the first Regional power distribution device dispatch point ;

[0042] Step D3: based on the distance set of the first Regional power distribution device receiving point And the safety margin evaluation coefficient set in all regions Calculate to get the weight set, the specific expression is as follows: ;

[0043] Wherein, Indicates the weight between the first Region and the first Region, And Respectively indicate the weight coefficient which is 1, Indicates the safety margin evaluation coefficient of the first Region, Indicates the distance between the dispatch point of the first Region and the dispatch point of the first Region;

[0044] Step D4: Sort the weight set in descending order and output it for scheduling by staff.

[0045] This invention also provides a method for analyzing low voltage early warning in distribution networks, based on the aforementioned system, comprising the following steps:

[0046] Step 1: Obtain the data for each sampling period. The equipment risk assessment coefficient of the power distribution equipment in each area and the first Power quality assessment coefficients for each region;

[0047] Step Two: Based on the first The equipment risk assessment coefficient of the power distribution equipment in each area determines whether to issue an equipment risk warning instruction;

[0048] Step 3: After the equipment risk warning command or power quality warning command is issued, execute the corresponding equipment risk warning management strategy or power quality warning management strategy respectively;

[0049] Step 4: Construct a safety margin assessment coefficient based on equipment risk warning instructions and power quality warning instructions, and determine whether to issue a safety margin warning instruction. If a safety margin warning instruction is issued, execute the safety margin warning management strategy.

[0050] Compared with existing technologies, the present invention provides a method and system for low voltage early warning analysis in power distribution networks, which has the following beneficial effects:

[0051] This invention obtains the first sample within each sampling period. The equipment risk assessment coefficient of the power distribution equipment in each area and the first The power quality assessment coefficient for each region is based on the [number]th [region]. The system uses the equipment risk assessment coefficient of the power distribution equipment within a given area to determine whether to issue an equipment risk warning command. After an equipment risk warning command or a power quality warning command is issued, the corresponding equipment risk warning management strategy or power quality warning management strategy is executed. Based on the equipment risk warning command and the power quality warning command, a safety margin assessment coefficient is constructed, and it is determined whether to issue a safety margin warning command. If a safety margin warning command is issued, the safety margin warning management strategy is executed. This allows for the analysis of non-obvious fault factors in the current environment based on the specific conditions of the power distribution equipment. Warnings can be issued at each stage to guide dispatching and equipment updates, achieving full-process operability of the warning system and providing professional basis for power distribution network operation, maintenance, and equipment replacement decisions. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of the system framework of the present invention;

[0053] Figure 2This is a schematic diagram of the process of the present invention;

[0054] Figure 3 This is a schematic diagram of the image sampling device of the present invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] Please see Figures 1-2 The distribution network low voltage early warning analysis system includes a regional assessment module, a regional low voltage decision module, and a regional risk early warning management module.

[0057] The regional assessment module includes a regional equipment risk assessment unit, a regional power quality assessment unit, and a regional safety margin assessment unit;

[0058] The regional equipment risk assessment unit is used to assess the risk of the first... The power distribution equipment within each area was assessed, and a risk assessment coefficient for the equipment was provided. The specific steps are as follows:

[0059] Step A1: Obtain the first Comprehensive evaluation coefficient of power distribution equipment in each region The specific expression is as follows: ;

[0060] in, , Indicates the first The first region One power distribution device, Indicates the first Maximum temperature deviation rate in each region Indicates the first In the region, the first The operating temperature of each power distribution device This represents the median value of the safe temperature, obtained through the first... Extracted from the historical records of each power distribution device during its operation. Indicates the first The initial area of ​​the transformer image captured in each region can be determined by setting up an image sampling device (camera and associated built-in light source) at an observation window opened on the transformer side. For the setup of the associated light source, refer to... Figure 3 Sampling was performed. Sampling period The later The area of ​​color difference between the image taken through the observation window and the image taken at the previous moment in each region. Indicates the sampling period The oil level of the rear transformer is related to... The calculation can also be based on the actual number of infrared rangefinders set up. If multiple data points are obtained, then... For the corresponding mean, This indicates the initial value of the transformer oil level, obtained by acquiring the first... The maximum temperature deviation rate of all power distribution equipment in each region was analyzed, and the changes in oil color and oil level in the transformer were fitted to comprehensively evaluate the [specific data / method / etc.]. The comprehensive evaluation value of power distribution equipment in a region can well reflect the current working condition of transformers in the regional power distribution network. When the aging oil in the transformer loses its fluidity, it cannot disperse mechanical stress, which may cause the low-voltage bushing root to break or the lead clamp to loosen.

[0061] In this embodiment, the first... Comprehensive evaluation coefficient of power distribution equipment in each region Please refer to Table 1 below for specific data:

[0062] Table 1

[0063]

[0064] at this time ;

[0065] Step A2: Obtain the first Fault assessment coefficient of power distribution equipment in each region The specific expression is as follows: ;

[0066] in, Indicates the first The power distribution equipment in the area The deviation rate of each environmental parameter from the standard working environment range. Indicates the first The average deviation rate of all environmental parameters of power distribution equipment in a given area from the standard operating environment range. This indicates the total number of environmental parameters. This indicates the equipment connection loosening rate. Specifically, the equipment connection loosening rate is the ratio of the total number of parts that need to be tightened to the total number of all parts during the last maintenance process. It is reported proactively by the staff.

[0067] In this embodiment, the environmental parameters specifically include ambient temperature, air humidity, and dust concentration. The total number of parts requiring fastening is specified below:

[0068] The outer casing and enclosure category specifically includes: enclosure door hinges, enclosure door handles / locks, enclosure grounding bolts / grounding terminals, enclosure panel / cover plate and bracket connection, enclosure feet / base / support plate, enclosure sealing pressure plate / buckle, fan / vent grille fixing parts, and external wiring terminal box cover / terminal strip;

[0069] Busbars and busbar supports specifically include: busbar joint bolts (busbar connections), busbar insulation brackets / isolation supports, busbar clamps / clamps, busbar grounding lead-out fixing points, busbar terminal and turn connection bolts, busbar bridge / busbar trunking joints, busbar and switch / circuit breaker connection flanges, and busbar covers / baffles.

[0070] Switches, circuit breakers, and disconnecting switches, specifically including: circuit breaker mounting brackets / base bolts, circuit breaker and operating linkage / mechanism connection fasteners, disconnecting switch hinge / contact clamping bolts, switch contact clamping / clamping bolts, operating handle / spring / reset mechanism fixing parts, operating bearing seat and support fasteners, switch housing and panel fixing parts, auxiliary contact / interlock mechanism fixing screws, vacuum / oil-immersed circuit breaker terminal bolts, and circuit breaker slide-out bracket / guide rail fixing parts;

[0071] Terminal blocks and busbar terminals specifically include: cable / wire terminal bolts, wall bushing / cable clamp fixing, cable tray and fixing clips, cable joint / crimp terminal fixing, cable stress relief clamp fixing, and knife switch / fuse holder and terminal connection;

[0072] Protection and control equipment, specifically including: relay / control module mounting screws, measuring instrument (electricity meter / meter) fixing bolts, protection device cabinet / drawer-type device slide rails, PLC / controller and panel screws, terminal block and wiring board fastening, and communication module / connector fixing;

[0073] Transformers and their accessories, specifically including: transformer housing fixing bolts (base), transformer high and low voltage terminal bolts, oil tank cover / temperature controller / grounding terminal, heat sink / fan / cooler fixing parts, bushing and housing flange bolts, transformer anti-vibration pads / supports, transformer oil level / signal connectors, and grounding busbar and transformer grounding bolts.

[0074] Protective shielding, isolation and insulation components, specifically including: insulating partitions / isolation baffles, dielectric pillars / insulating support bolts, shielding covers / baffles, touch-sensitive protective doors / observation windows, protective fences / protective covers and insulating sleeve clamps / fixtures;

[0075] The operating mechanism is linked to the mechanical components, specifically including: the operating lever and connecting pin / shaft fastening, spring seat / pull rod, gear / linkage mechanism fixing screw, interlocking mechanism hinge and fastener, handcart / drawer guide rail and positioning pin / stop screw;

[0076] Auxiliary devices and grounding specifically include: grounding busbars and grounding terminals, surge arrester / protection element mounting bases, resistor boxes / neutral grounding devices, indicator lights / button panels, and door lock linkage electrical components.

[0077] The assembly and support structure specifically includes: internal mounting rails, panel fastening bolts / panel covers, equipment frame beam / column connecting bolts, support brackets and lifting lugs, anchor bolts / foot bolts, and maintenance pedals / handles;

[0078] The above components are for reference only, and can be added or removed according to specific needs in the implementation.

[0079] In this embodiment, ;

[0080] Step A3: Based on the information obtained in Step A1... Comprehensive evaluation coefficient of power distribution equipment in each region and the first obtained in step A2 Fault assessment coefficient of power distribution equipment in each region Comprehensive construction of the first Equipment risk assessment coefficient for power distribution equipment within the area The specific expression is as follows: ;

[0081] in, and These represent weight coefficients that sum to 1, respectively, in this embodiment. , , ;

[0082] The regional power quality assessment unit performs an assessment based on the previous sampling period and provides the results. Power quality assessment coefficient for each region The specific steps are as follows:

[0083] Step B1: Obtain the first Comprehensive power quality coefficient of each region The specific expression is as follows: ;

[0084] in, Indicates the sampling period The Middle One mutation point, Represents the maximum value function. and These represent the weight coefficients that sum to 1. Indicates the first The voltage at the nth mutation point, the th The specific rules for determining each mutation point are as follows: obtain the sampling period. The voltage line graph, with The standard is used to denoise the voltage line graph, that is, to remove noise from all voltage lines in the range of 10 ... The voltage within the interval is considered as Treat all inflection points as mutation points. It represents the fluctuation constant, while usually... The setting is less than 1. Indicates standard voltage;

[0085] Step B2: Obtain the first Voltage stability evaluation coefficient for each region The specific expression is as follows: ;

[0086] in, This represents the total number of segments, used for a sampling period. Divided into indivual, This represents the average voltage value within the m-th sampling interval. Indicates standard voltage. express The absolute value, through the... The summation of each sampling segment reflects the voltage quality of the entire sampling period, rather than just looking at certain extreme values ​​or average values, thus avoiding misjudgments caused by short-term anomalies or local deviations.

[0087] Step B3: Based on the first step in step B1 Comprehensive power quality coefficient of each region and obtain the first in step B2 Voltage stability evaluation coefficient for each region Comprehensive construction of the first Power quality assessment coefficient for each region The specific expression is as follows: ;

[0088] in, Indicates the first Comprehensive power quality coefficient for each region Indicates the first Voltage stability evaluation coefficients for each region;

[0089] In this embodiment, the parameters obtained are shown in Table 2 below;

[0090] Table 2

[0091]

[0092] ;

[0093] The regional low voltage decision module includes an equipment risk decision unit, a power quality decision unit, and a safety margin decision unit;

[0094] The equipment risk decision-making unit outputs the first [item] from the regional equipment risk assessment unit. Equipment risk assessment coefficient for power distribution equipment within the area When it is called, a judgment is made simultaneously, when the first Equipment risk assessment coefficient for power distribution equipment within the area Exceeding the set equipment risk assessment threshold In this embodiment, a device risk warning command is issued, and the device risk warning management unit is invoked to execute the device risk warning management strategy. Exceeding the equipment risk assessment threshold ;

[0095] The power quality decision unit outputs the first [item] from the regional power quality assessment unit. Power quality assessment coefficient for each region When it is called, a judgment is made simultaneously, when the first Power quality assessment coefficient for each region Exceeding the set comprehensive power quality threshold At this time, a power quality early warning command is issued, and the power quality early warning management unit is invoked to execute the power quality early warning management strategy. In this embodiment, at this time... Less than ;

[0096] Comprehensive power quality threshold By reading historical data and recording the corresponding power quality assessment coefficient in the previous sampling period when a low voltage alarm is issued in the historical data, and then taking the mean after removing the extreme values;

[0097] The regional security margin assessment unit is based on the first Equipment risk assessment coefficient for each region and power quality assessment coefficient Comprehensive construction of safety margin assessment coefficients The specific steps are as follows:

[0098] Step C1: Based on whether the equipment risk warning command has been issued, construct the first... Equipment early warning coefficient in each region The specific expression is as follows: ;

[0099] in, Indicates the first Equipment risk assessment coefficient for power distribution equipment within a given area. Indicates the equipment risk assessment threshold, when When this occurs, it indicates that a device risk warning instruction has not been issued. When this time, it indicates that a device risk warning command has been issued. In this embodiment, when the device risk warning command is issued, ;

[0100] Step C2: Based on whether a power quality early warning command has been issued, construct the first... Power quality early warning coefficient for each region The specific expression is as follows: ;

[0101] in, Indicates the first Power quality assessment coefficient for each region This represents the overall power quality threshold, when... When, it indicates that a power quality warning instruction has not been issued. When this occurs, it indicates that a power quality warning command has been issued. In this embodiment, however, a power quality warning command has not yet been issued. ;

[0102] Step C3: Based on step C1, the first... Equipment early warning coefficient in each region and the first step of C2 Power quality early warning coefficient for each region Comprehensive construction of safety margin assessment coefficients The specific expression is as follows: ;

[0103] in, Indicates the sampling period The average voltage in this embodiment , This indicates the preset low voltage alarm value, which is 204.6 in this embodiment. and This represents a weighting coefficient that sums to 1, and occurs when a power quality warning instruction has been issued but an equipment risk warning instruction has not. , If a power quality warning has been issued but a device risk warning has not been issued, , When equipment risk warning instructions are not issued, and power quality warning instructions are not issued, In other cases, Indicates the first Power quality early warning coefficient for each region Indicates the first In this embodiment, the early warning coefficient for equipment in each area is... ;

[0104] The safety margin decision unit outputs safety margin assessment coefficients in the regional safety margin assessment unit. It is then called upon, and a judgment is made simultaneously, based on the safety margin assessment coefficient. When the safety margin assessment threshold is lower than the preset threshold When the time comes, a safety margin warning command is issued, and the safety margin warning management unit is invoked to execute the safety margin warning management strategy. In this embodiment, no safety margin warning command is issued.

[0105] The regional risk early warning management module includes an equipment risk early warning management unit, a power quality early warning management unit, and a safety margin early warning management unit;

[0106] The equipment risk warning management unit is invoked upon receiving an equipment risk warning instruction and executes the equipment risk warning management strategy. The specific steps are as follows:

[0107] Dispatch staff for the first The power distribution equipment in each area was inspected and repaired, and the first... The values ​​of all temperature sensors in each region are in the first phase of the construction. Display the 3D model corresponding to the power distribution equipment in each area, and display the first... Maximum temperature deviation rate in each region The corresponding temperature sensors are differentiated and labeled, where the 3D model can be... Model;

[0108] The power quality early warning management unit is invoked upon receiving a power quality early warning command and executes the power quality early warning management strategy. The specific steps are as follows:

[0109] Get the The nearest ventilation duct to the temperature sensor in the 3D model corresponding to the power distribution equipment in each area is marked with differential annotations, and the duct is marked in the 3D model to obtain the temperature sensor closest to the ventilation duct. The power distribution equipment in each area during the sampling period The work logs in the system are stored accordingly;

[0110] The safety margin early warning management unit is invoked upon receiving a safety margin early warning command and executes the safety margin early warning management strategy. The specific steps are as follows:

[0111] Step D1: Read the set of safety margin assessment coefficients for power distribution equipment in all areas. ;

[0112] Step D2: Based on the set of safety margin assessment coefficients for power distribution equipment in all areas. Distance from the middle dispatch point Distance set of regional power distribution equipment dispatch points ;

[0113] Step D3: Based on the first Distance set of power distribution equipment receiving points in a region Set of safety margin assessment coefficients for all regions The calculation yields the weight set, as shown in the following expression:

[0114] ;

[0115] in, Indicates the first The region and the first Weights between regions, and These represent the weight coefficients that sum to 1. Indicates the first Safety margin assessment coefficient for each region Indicates the first The regional dispatch point and the first The distance between regional dispatch points;

[0116] Step D4: Sort the weight set in descending order and output it for scheduling by staff.

[0117] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A low-voltage early warning and analysis system for power distribution networks, characterized in that: It includes a regional assessment module, a regional low-voltage decision-making module, and a regional risk early warning management module; The regional assessment module in each sampling period Get the first one respectively Equipment risk assessment coefficient for power distribution equipment within the area and the Power quality assessment coefficient for each region The regional low voltage decision module is based on the first Equipment risk assessment coefficient for power distribution equipment within the area The regional low-voltage decision module determines whether to issue a device risk warning command based on the first... Power quality assessment coefficient for each region Determine whether to issue a power quality warning command; The regional assessment module includes a regional equipment risk assessment unit, a regional power quality assessment unit, and a regional safety margin assessment unit. The regional equipment risk assessment unit is used to assess the regional equipment risk of the first... The power distribution equipment within each area was assessed, and a risk assessment coefficient for the equipment was provided. The regional power quality assessment unit is based on the previous sampling period. Conduct an assessment and provide the first Power quality assessment coefficient for each region The regional security margin assessment unit is based on the first Equipment risk assessment coefficient for each region and power quality assessment coefficient Comprehensive construction of safety margin assessment coefficients ; The specific steps for implementing the regional equipment risk assessment unit are as follows: Step A1: Obtain the first The deviation rate between the temperature of all power distribution equipment in each region and the median safe temperature was selected, and the maximum value was taken as the first deviation rate. Maximum temperature deviation rate in each region; Obtaining sampling time period The next The area of ​​color difference between the image taken through the observation window in each region and the image taken at the previous moment is related to the area of ​​color difference between the image taken at the observation window in the previous moment and the area of ​​color difference in the previous moment. The ratio of the initial area of ​​the transformer-captured image in each region; Obtaining sampling time period The deviation rate between the transformer oil level and the initial value of the transformer oil level; The average of the three is then calculated to obtain the first... Comprehensive evaluation coefficient of power distribution equipment in each region ; Step A2: Obtain the first The mean deviation rate of all environmental parameters of power distribution equipment in each region from the standard operating environment range and the equipment connection loosening rate are calculated, and then averaged to obtain the first... Fault assessment coefficient of power distribution equipment in each region ; The loosening rate of the equipment connection is the ratio of the total number of parts that need to be tightened to the total number of all parts during the last maintenance process, which is proactively reported by the staff. Step A3: Based on the information obtained in Step A1... Comprehensive evaluation coefficient of power distribution equipment in each region and the first obtained in step A2 Fault assessment coefficient of power distribution equipment in each region Weighted construction of the first Equipment risk assessment coefficient for power distribution equipment within the area ; The specific execution steps of the regional power quality assessment unit are as follows: Step B1: Obtain the sampling period A voltage line graph, and all those in The voltage within the range is considered the standard voltage. Treating all inflection points as abrupt change points, the voltage at each abrupt change point and the standard voltage are obtained respectively. The maximum deviation rate between them, and the voltage at the abrupt change point and the standard voltage. The mean of the deviation rates between them is used to calculate the weighted average of the two to obtain the first... Comprehensive power quality coefficient of each region ; in, Represents the fluctuation constant; Step B2: Sampling time period Divided into equal intervals The data is processed by taking a sample, obtaining the average voltage value within each sample interval, calculating the average deviation rate between the average voltage value within each sample interval and the standard voltage, and then summing and averaging the results to obtain the first sample. Voltage stability evaluation coefficient for each region ; Step B3: Based on the first step in step B1 Comprehensive power quality coefficient of each region and obtain the first in step B2 Voltage stability evaluation coefficient for each region The mean was calculated to obtain the first Power quality assessment coefficient for each region ; After the equipment risk warning command or power quality warning command is issued, the regional risk warning management module executes the equipment risk warning management strategy or the power quality warning management strategy respectively. The regional assessment module also constructs a safety margin assessment coefficient based on equipment risk warning commands and power quality warning commands. It then calls the regional low voltage decision module to determine whether to issue a safety margin warning command and calls the safety margin warning management unit to execute the safety margin warning management strategy. The regional security margin assessment unit is based on the first Equipment risk assessment coefficient for each region and power quality assessment coefficient Comprehensive construction of safety margin assessment coefficients The specific steps are as follows: Step C1: Determine whether a device risk warning command has been issued; If a device risk warning command is issued, then set the first... Equipment early warning coefficient in each region For the first Equipment risk assessment coefficient for power distribution equipment within the area Exceeding the set equipment risk assessment threshold The percentage is set if no equipment risk warning instruction is issued. ; Step C2: Determine whether a power quality warning command has been issued; If a power quality warning command is issued, then set the first... Power quality early warning coefficient for each region For the first Power quality assessment coefficient for each region Exceeding the set comprehensive power quality threshold The percentage is set if no power quality warning instruction is issued. ; Step C3: Based on step C1, the first... Equipment early warning coefficient in each region and the first step of C2 Power quality early warning coefficient for each region Comprehensive construction of safety margin assessment coefficients Specifically, the first Equipment early warning coefficient in each region and the Power quality early warning coefficient for each region After weighted summation, compared with the sampling time period The safety margin assessment coefficient is obtained by multiplying the difference between the average voltage and the preset low voltage alarm value. .

2. The distribution network low voltage early warning analysis system according to claim 1, characterized in that: The regional low voltage decision module includes an equipment risk decision unit, a power quality decision unit, and a safety margin decision unit; The equipment risk decision-making unit outputs the first [item] from the regional equipment risk assessment unit. Equipment risk assessment coefficient for power distribution equipment within the area When it is called, a judgment is made simultaneously, when the first Equipment risk assessment coefficient for power distribution equipment within the area Exceeding the set equipment risk assessment threshold It issues equipment risk warning commands in a timely manner and invokes the equipment risk warning management unit to execute equipment risk warning management strategies; The power quality decision unit outputs the first [unit name] in the regional power quality assessment unit. Power quality assessment coefficient for each region When it is called, a judgment is made simultaneously, when the first Power quality assessment coefficient for each region Exceeding the set comprehensive power quality threshold When necessary, a power quality early warning command is issued, and the power quality early warning management unit is invoked to execute the power quality early warning management strategy; Comprehensive power quality threshold By reading historical data and recording the corresponding power quality assessment coefficient in the previous sampling period when a low voltage alarm is issued in the historical data, and then taking the mean after removing the extreme values, the power quality assessment coefficient is obtained.

3. The distribution network low voltage early warning analysis system according to claim 2, characterized in that: The regional risk early warning management module includes an equipment risk early warning management unit, a power quality early warning management unit, and a safety margin early warning management unit; The equipment risk warning management unit is invoked upon receiving an equipment risk warning instruction and executes the equipment risk warning management strategy. The specific steps are as follows: Dispatch staff for the first The power distribution equipment in each area was inspected and repaired, and the first... The values ​​of all temperature sensors in each region are in the first phase of the construction. Display the 3D model corresponding to the power distribution equipment in each area, and display the first... Maximum temperature deviation rate in each region The corresponding temperature sensors are labeled differently; The power quality early warning management unit is invoked upon receiving a power quality early warning command and executes the power quality early warning management strategy. The specific steps are as follows: Get the The nearest ventilation duct to the temperature sensor in the 3D model corresponding to the power distribution equipment in each area is marked with differential annotations, and the duct is marked in the 3D model to obtain the temperature sensor closest to the ventilation duct. The power distribution equipment in each area during the sampling period The work logs are recorded and stored accordingly.

4. The distribution network low voltage early warning analysis system according to claim 3, characterized in that: The safety margin decision unit outputs a safety margin assessment coefficient to the regional safety margin assessment unit. It is then called upon, and a judgment is made simultaneously, based on the safety margin assessment coefficient. When the safety margin assessment threshold is lower than the preset threshold When necessary, a safety margin warning command is issued, and the safety margin warning management unit is invoked to execute the safety margin warning management strategy.

5. The distribution network low voltage early warning analysis system according to claim 4, characterized in that: The safety margin early warning management unit is invoked upon receiving a safety margin early warning command and executes the safety margin early warning management strategy. The specific steps are as follows: Step D1: Read the set of safety margin assessment coefficients for power distribution equipment in all areas. ; Step D2: Based on the set of safety margin assessment coefficients for power distribution equipment in all areas. Distance from the middle dispatch point Distance set of regional power distribution equipment dispatch points ; Step D3: Based on the first Distance set of power distribution equipment receiving points in a region and the set of safety margin assessment coefficients for all regions The calculation yields the weight set, as shown in the following expression: ； in, Indicates the first The region and the first Weights between regions, and These represent the weight coefficients that sum to 1. Indicates the first Safety margin assessment coefficient for each region Indicates the first The regional dispatch point and the first The distance between regional dispatch points; Step D4: Sort the weight set in descending order and output it for scheduling by staff.

6. A method for analyzing low voltage in distribution networks, applied to the low voltage early warning analysis system for distribution networks as described in any one of claims 1-5, characterized in that: Includes the following steps: Step 1: Obtain the equipment risk assessment coefficient and the power quality assessment coefficient of the power distribution equipment in the i-th region for each sampling period; Step 2: Determine whether to issue an equipment risk warning instruction based on the equipment risk assessment coefficient of the power distribution equipment in the i-th area; Step 3: After the equipment risk warning command or power quality warning command is issued, execute the corresponding equipment risk warning management strategy or power quality warning management strategy respectively. Step 4: Construct a safety margin assessment coefficient based on equipment risk warning instructions and power quality warning instructions, and determine whether to issue a safety margin warning instruction. If a safety margin warning instruction is issued, execute the safety margin warning management strategy.

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