Intelligent monitoring and adjusting system for power distribution network

Abstract

The invention provides an intelligent monitoring and adjusting system for a power distribution network, and belongs to the technical field of power distribution network supervision. Comprising a power distribution network monitoring module, a data processing center, an intelligent alarm module, an automatic adjustment module and a remote monitoring module. According to the invention, intelligent analysis is carried out through the data processing center to judge whether the power distribution network has an abnormal state, and the state of the power distribution network is adjusted when it is judged that the power distribution network has the abnormal state, so that the stability and reliability of power supply are improved; the instruction execution condition of each power device is accurately evaluated through the power device execution evaluation module so as to determine a high-matching device and a non-adaptive device, and secondary analysis is performed on the high-matching device so as to accurately judge the potential risk of the high-matching device, so that the related power devices can be checked, maintained or replaced in time; matched supervision schemes can be conveniently formulated for different power devices, the management difficulty of managers is remarkably reduced, and safe and stable operation of a power system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution network supervision, and in particular to an intelligent monitoring and regulating system for a power distribution network. Background Art

[0002] The power distribution network is composed of a variety of distribution equipment and facilities, which together constitute the distribution network and are responsible for transmitting electricity from power plants or transmission networks to users. With the continuous development of the power system and the continuous expansion of the power grid, the management and monitoring of the power distribution network has become increasingly complex.

[0003] At present, when conducting power distribution network supervision, it is often difficult to achieve comprehensive real-time monitoring and precise adjustment of the power distribution network status, and it is impossible to reasonably analyze the command execution performance and potential risks of each power equipment step by step. It is impossible to accurately assess the urgency of the rectification of the power distribution network, which increases the management difficulty of power management personnel and is not conducive to ensuring the safe and stable operation of the power system.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent monitoring and regulation system for power distribution network, which solves the problem that the prior art is difficult to achieve comprehensive real-time monitoring and precise regulation of the power distribution network status, and is unable to gradually and progressively and reasonably analyze the command execution performance and potential risks of each power equipment, and cannot accurately assess the urgency of the rectification of the power distribution network, which is not conducive to ensuring the safe and stable operation of the power system.

[0006] To achieve the above object, the present invention provides the following technical solutions: An intelligent monitoring and regulation system for a power distribution network, comprising a power distribution network monitoring module, a data processing center, an intelligent alarm module, an automatic regulation module and a remote monitoring module; The power distribution network monitoring module monitors the power distribution network through various sensors integrated in the power distribution network, collects the status data of the power distribution network in real time, and sends the status data of the power distribution network to the data processing center; The data processing center receives the status data of the power distribution network and performs intelligent analysis on the status data of the power distribution network through a data analysis algorithm to determine whether the power distribution network is in an abnormal state; When it is determined that the power distribution network is in an abnormal state, the intelligent alarm module immediately triggers the alarm mechanism and sends alarm information to the remote monitoring module and the automatic adjustment module. The automatic adjustment module automatically adjusts the relevant power equipment in the power distribution network to accurately adjust the power distribution network status; Remote management personnel can manually adjust the power distribution network through the remote monitoring module, and remotely access the data processing center through the remote monitoring module to view the status data and analysis results of the power distribution network in real time, and conduct remote monitoring and management.

[0007] Furthermore, the intelligent monitoring and regulation system for the power distribution network also includes an electric power equipment execution monitoring module. When the automatic regulation module or the remote management personnel issues an adjustment instruction through the remote monitoring module to adjust the relevant electric power equipment, the electric power equipment execution monitoring module collects the issuance time of the adjustment instruction and marks it as the first time, and collects the execution completion time of the electric power equipment corresponding to the adjustment instruction and marks it as the second time, marks the interval duration between the first time and the second time as the electric power equipment execution time value, and stores the electric power equipment execution time value.

[0008] Furthermore, the power equipment execution monitoring module is communicatively connected to the power equipment execution evaluation module, which is used to set the detection period, obtain the power equipment that needs to be monitored in the power distribution network, and mark the power equipment that needs to be monitored as u, where u is a natural number greater than 1; the power equipment execution monitoring module sends all power equipment execution values ​​of the power equipment u during the detection period to the power equipment execution evaluation module, and the power equipment execution evaluation module analyzes the instruction execution status of the power equipment u during the detection period, marks the power equipment u as a non-matching device or a high-matching device through analysis, and sends the marking information of the power equipment u to the remote monitoring module.

[0009] Furthermore, the process in which the power equipment execution evaluation module analyzes the instruction execution status of the power equipment u during the detection period includes: All power equipment execution values ​​of power equipment u during the detection period are obtained. If any power equipment execution value is not within its corresponding specified time length, the power equipment execution value is marked as a power equipment abnormal time value. The number of power equipment abnormal time values ​​of power equipment u is calculated by ratio with the number of power equipment execution values ​​to obtain the power equipment abnormal measurement value of power equipment u. If the power equipment abnormal measurement value exceeds the preset power equipment abnormal measurement threshold, the power equipment u is marked as a non-adaptive device.

[0010] Furthermore, if the abnormal measurement value of the power equipment does not exceed the preset abnormal measurement threshold of the power equipment, the ratio of each power equipment execution time value of the power equipment u to the corresponding specified time length is marked as the power equipment execution value, and all power equipment execution values ​​of the power equipment u in the detection period are averaged to obtain the power equipment execution value; The power equipment evaluation value is obtained by numerically calculating the power equipment abnormal measurement value and the power equipment analysis value. If the power equipment evaluation value exceeds the preset power equipment evaluation threshold, the power equipment u is marked as a non-matching device; if the power equipment evaluation value does not exceed the preset power equipment evaluation threshold, the power equipment u is marked as a high-matching device.

[0011] Furthermore, the power equipment execution evaluation module is communicatively connected to the power equipment degradation prediction and analysis module, and the power equipment execution evaluation module sends the high-matching device to the power equipment degradation prediction and analysis module. The power equipment degradation prediction and analysis module performs degradation prediction analysis on the high-matching device, and accordingly marks the high-matching device as a high-degradation device or a low-degradation device, and sends the marking information of the high-matching device to the remote monitoring module.

[0012] Furthermore, the specific analysis process of recession prediction analysis includes: The production date of the high-matching device is collected, and the interval between the current date and the production date is marked as the production detection value. The total number of failures of the high-matching device in the past three months is collected and marked as the failure detection value; Collect the real-time data of various environmental parameters that need to be monitored in the environment where the high-matching device is located, compare the real-time data of each environmental parameter with the corresponding preset data requirements, and if there is an environmental parameter whose real-time data does not meet the corresponding preset data requirements, then judge that the high-matching device is in a vulnerable state, obtain the total time of the high-matching device in the vulnerable state in the historical stage and mark it as a vulnerable detection value; The deformation detection value is obtained by deformation analysis of the power equipment, and the production detection value, fault detection value, fragility detection value and deformation detection value are numerically calculated to obtain the recession prediction coefficient. If the recession prediction coefficient exceeds the preset recession prediction coefficient threshold, the high-matching equipment is marked as a high-recession equipment; if the recession prediction coefficient does not exceed the preset recession prediction coefficient threshold, the high-matching equipment is marked as a low-recession equipment.

[0013] Furthermore, the specific analysis process of power equipment deformation analysis includes: A number of detection points are set on the high-matching device, the real-time distance value between the two groups of detection points is collected and the deviation value from the initial standard distance value is marked as the point separation deviation table value, and the ratio of the point separation deviation table value to the preset point separation deviation table threshold is marked as the point separation deviation value; all the point separation deviation values ​​of the high-matching device are averaged to obtain the point separation detection value, and the point separation deviation value with the largest value in the high-matching device is marked as the point separation danger value; The point spacing deviation table value is numerically compared with the preset point spacing deviation table threshold. If the point spacing deviation table value exceeds the preset point spacing deviation table threshold, the point spacing deviation table value is marked as the point spacing anomaly table value, and the number of point spacing anomaly table values ​​in the high-matching device is obtained and the ratio is calculated with the number of point spacing deviation table values ​​to obtain the point spacing anomaly share value; the deformation detection value is obtained by numerically calculating the point spacing inspection value, the point spacing danger value and the point spacing anomaly share value.

[0014] Furthermore, the remote monitoring module is connected to the power distribution network rectification and analysis module in communication. The power distribution network rectification and analysis module obtains and classifies all power equipment in the power distribution network, and obtains the marking information of all power equipment. If any power equipment is marked as a non-adaptive device or a high-fading device, the power equipment is defined as a device to be rectified. The number of electric power equipment defined as equipment to be rectified in each type of electric power equipment is obtained and marked as the number inspection value to be rectified, the number inspection values ​​to be rectified of all types of electric power equipment are summed and calculated, and the ratio of the sum to the total number of electric power equipment to be monitored in the power distribution network is marked as the coordination abnormality coefficient, and if the coordination abnormality coefficient exceeds the preset coordination abnormality coefficient threshold, a power distribution network rectification alarm signal is generated; If the coordination abnormality coefficient does not exceed the preset coordination abnormality coefficient threshold, a set of preset grid impact weight values ​​is set in advance for each type of power equipment, and the number of inspection values ​​to be rectified for each type of power equipment is multiplied by the corresponding preset grid impact weight value to obtain the coefficient to be rectified; The emergency value to be rectified is calculated by summing up the coefficients to be rectified of all types of power equipment. If the emergency value to be rectified exceeds the preset emergency threshold to be rectified, an electric power distribution network rectification alarm signal is generated; and the electric power distribution network rectification warning signal is sent to the remote monitoring module.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the power distribution network is monitored by the power distribution network monitoring module to collect the status data of the power distribution network in real time. The data processing center performs intelligent analysis based on the status data of the power distribution network to determine whether the power distribution network is in an abnormal state. When it is determined that the power distribution network is in an abnormal state, the automatic adjustment module automatically adjusts the relevant power equipment in the power distribution network, thereby realizing comprehensive real-time monitoring and precise adjustment of the power distribution network status, thereby improving the stability and reliability of power supply. 2. In the present invention, the power equipment execution evaluation module is used to accurately evaluate the instruction execution status of each power equipment to determine the highly matched equipment and the non-matched equipment. The power equipment degradation prediction analysis module performs a secondary analysis on the highly matched equipment to accurately determine its potential risk. The power distribution network rectification analysis module performs a reasonable analysis on the urgency of the rectification of the power distribution network. It can accurately evaluate the urgency of the rectification of the power distribution network, which is conducive to timely inspection, maintenance or replacement of relevant power equipment, reduces the management difficulty of power management personnel, further ensures the safe and stable operation of the power system, and reduces the difficulty of power distribution network management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings; Figure 1 This is a system block diagram of Embodiment 1 of the present invention; Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0018] Embodiment 1: Figure 1 As shown, the present invention proposes an intelligent monitoring and regulation system for power distribution network, including a power distribution network monitoring module, a data processing center, an intelligent alarm module, an automatic regulation module, a power equipment execution monitoring module and a remote monitoring module; The power distribution network monitoring module monitors the power distribution network through various sensors integrated in the power distribution network, collects the status data of the power distribution network in real time (including key parameters such as voltage, current, frequency, power, power factor, etc.), and sends the status data of the power distribution network to the data processing center; The data processing center receives the status data of the power distribution network and uses the data analysis algorithm to perform intelligent analysis on the status data of the power distribution network to determine whether there is an abnormal state in the power distribution network and predict potential fault points, thereby improving the efficiency of fault detection and processing; When it is determined that the power distribution network is in an abnormal state, the intelligent alarm module immediately triggers the alarm mechanism and sends alarm information to the remote monitoring module and the automatic adjustment module so that timely measures can be taken to deal with it; the automatic adjustment module automatically adjusts the relevant power equipment in the power distribution network to accurately adjust the power distribution network status, thereby improving the stability and reliability of power supply; Remote management personnel can manually adjust the power distribution network through the remote monitoring module, and remotely access the data processing center through the remote monitoring module to view the status data and analysis results of the power distribution network in real time, conduct remote monitoring and management, reduce operation and maintenance costs, and improve the overall operating efficiency of the power system.

[0019] Furthermore, when the automatic adjustment module or the remote management personnel issues an adjustment instruction through the remote monitoring module to adjust the relevant power equipment, the power equipment execution monitoring module collects the issuance time of the adjustment instruction and marks it as the first time, and collects the execution completion time of the power equipment corresponding to the adjustment instruction and marks it as the second time, and marks the interval between the first time and the second time as the power equipment execution time value, wherein the larger the value of the power equipment execution time value, the slower the execution efficiency of the relevant power equipment for the adjustment instruction, and the power equipment execution time value is stored to facilitate the grasp of the execution efficiency status of each power equipment each time.

[0020] Further, the power equipment execution monitoring module is communicatively connected to the power equipment execution evaluation module, and the power equipment execution evaluation module is used to set a detection period, preferably, the detection period is fifteen days; obtain the power equipment (including transformer equipment, switch equipment, lightning arrester equipment, etc.) that needs to be monitored in the power distribution network, and mark the power equipment that needs to be monitored as u, and u is a natural number greater than 1; The power equipment execution monitoring module sends all power equipment execution values ​​of the power equipment u during the detection period to the power equipment execution evaluation module. The power equipment execution evaluation module analyzes the instruction execution status of the power equipment u during the detection period, and marks the power equipment u as a non-adaptive device or a high-matching device through analysis, and sends the marking information of the power equipment u (non-adaptive device or high-matching device) to the remote monitoring module, which can reasonably analyze and accurately evaluate the instruction execution performance of each power equipment, and timely inspect, repair or replace the corresponding power equipment, which is conducive to formulating matching supervision plans for different power equipment, significantly reducing the management difficulty of managers, and ensuring the safe and stable operation of the power system; The process of the power equipment execution evaluation module analyzing the instruction execution status of the power equipment u during the detection period includes: Obtain all the power equipment execution values ​​of the power equipment u during the detection period. If any power equipment execution value is not within its corresponding specified time length (one power equipment execution value corresponds to one specified time length), mark the power equipment execution value as the power equipment abnormal time value, and calculate the ratio of the number of power equipment abnormal time values ​​of the power equipment u to the number of power equipment execution values ​​to obtain the power equipment abnormal measurement value of the power equipment u; Compare the abnormal measurement value of the power device with the preset abnormal measurement threshold of the power device. If the abnormal measurement value of the power device exceeds the preset abnormal measurement threshold of the power device, it indicates that the instruction execution performance of the power device u during the detection period is poor, and the power device u is marked as a non-adaptive device; If the abnormal measurement value of the power equipment does not exceed the preset abnormal measurement threshold of the power equipment, the ratio of each power equipment execution time value of the power equipment u to the corresponding specified time length is marked as the power equipment execution value, and all power equipment execution values ​​of the power equipment u in the detection period are averaged to obtain the power equipment analysis value; By formula The power equipment abnormal measurement value DSu and the power equipment analysis value DFu are numerically calculated to obtain the power equipment evaluation value DXu; wherein wy1 and wy2 are preset proportional coefficients, wy1>wy2>1.235; and the larger the value of the power equipment evaluation value DXu, the worse the overall instruction execution performance of the power equipment u during the detection period; The power equipment evaluation value DXu is numerically compared with the preset power equipment evaluation threshold. If the power equipment evaluation value DXu exceeds the preset power equipment evaluation threshold, indicating that the instruction execution performance of the power equipment u during the detection period is generally poor, the power equipment u is marked as a non-adaptive device; if the power equipment evaluation value DXu does not exceed the preset power equipment evaluation threshold, indicating that the instruction execution performance of the power equipment u during the detection period is generally good, the power equipment u is marked as a high-matching device.

[0021] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the power equipment execution evaluation module is communicatively connected to the power equipment decay prediction and analysis module, the power equipment execution evaluation module sends the high-matching device to the power equipment decay prediction and analysis module, the power equipment decay prediction and analysis module performs decay prediction and analysis on the high-matching device, and accordingly marks the high-matching device as a high decay device or a low decay device, and sends the marking information of the high-matching device (high decay device or low decay device) to the remote monitoring module, which can perform secondary analysis on the high-matching device and accurately determine its potential risk, so as to remind the management personnel to replace the high decay device in time, further reduce the difficulty of the management personnel's work and improve the safety and stability of the power system; The specific analysis process of recession prediction analysis includes: The production date of the high-matching device is collected, and the interval between the current date and the production date is marked as the production detection value. The total number of failures of the high-matching device in the past three months is collected and marked as the failure detection value; Collect the real-time data of various environmental parameters (including temperature, humidity, dust concentration, etc.) that need to be monitored in the environment where the high-matching device is located, and compare the real-time data of each environmental parameter with the corresponding preset data requirements. If there are environmental parameters whose real-time data does not meet the corresponding preset data requirements, it indicates that the environment is likely to cause damage to the high-matching device, then the high-matching device is judged to be in a vulnerable state, and the total time of the high-matching device in the vulnerable state in the historical stage is obtained and marked as a vulnerable detection value; The deformation detection value is obtained by analyzing the deformation of the power equipment, specifically: a number of detection points are set on the high-matching equipment, the real-time distance value between the two groups of detection points is collected, and the deviation value between the real-time distance value and the initial standard distance value is marked as the point spacing deviation table value, wherein the larger the value of the point spacing deviation table value is, the more serious the deformation between the two detection points is; The ratio of the point spacing deviation table value to the preset point spacing deviation table threshold is marked as the point spacing deviation value; all the point spacing deviation values ​​of the high matching device are averaged to obtain the point spacing detection value, and the point spacing deviation value with the largest value in the high matching device is marked as the point spacing danger value; Compare the point spacing deviation table value with the preset point spacing deviation table threshold. If the point spacing deviation table value exceeds the preset point spacing deviation table threshold, mark the point spacing deviation table value as the point spacing anomaly table value. Obtain the number of point spacing anomaly table values ​​in the high matching device and calculate the ratio of the value to the number of point spacing deviation table values ​​to obtain the point spacing anomaly percentage value. The deformation detection value YLu is obtained by numerically calculating the point spacing detection value NYu, the point spacing dangerous value Lpu and the point spacing abnormal value XFu through the formula YLu=b3*XFu+(b1*NYu+b2*LPu) / 2; wherein b1, b2 and b3 are preset proportional coefficients, b3>b1>b2>0; and the larger the value of the deformation detection value YLu is, the more serious the deformation condition of the high-matching device is, and the greater the safety hazard of the high-matching device is; By formula The production detection value HYu, the fault detection value QXu, the vulnerable detection value WYu and the deformation detection value YLu are numerically calculated to obtain the degradation prediction coefficient SYu; wherein, uy1, uy2, uy3, and uy4 are preset proportional coefficients with values ​​greater than zero, and uy4>uy2>uy3>uy1; and the larger the value of the degradation prediction coefficient SYu, the greater the possibility of severe performance degradation of the high-matching equipment; The decay prediction coefficient SYu is numerically compared with the preset decay prediction coefficient threshold. If the decay prediction coefficient SYu exceeds the preset decay prediction coefficient threshold, it indicates that the high-matching device is more likely to experience severe performance decay, and the high-matching device is marked as a high-decay device. If the decay prediction coefficient SYu does not exceed the preset decay prediction coefficient threshold, it indicates that the high-matching device is less likely to experience severe performance decay, and the high-matching device is marked as a low-decay device.

[0022] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the remote monitoring module is connected to the power distribution network rectification analysis module in communication, and the power distribution network rectification analysis module obtains and classifies all power equipment in the power distribution network, and obtains the marking information of all power equipment. If a certain power equipment is marked as a non-adaptive device or a high-fading device, indicating that the equipment condition of the power equipment is poor, the power equipment is defined as a device to be rectified; The number of electric power equipment defined as equipment to be rectified in each type of electric power equipment is obtained and marked as the number inspection value to be rectified, the number inspection values ​​to be rectified of all types of electric power equipment are summed and calculated, and the ratio of the sum to the total number of electric power equipment to be monitored in the power distribution network is marked as the coordination abnormality coefficient, and the coordination abnormality coefficient is numerically compared with a preset coordination abnormality coefficient threshold value. If the coordination abnormality coefficient exceeds the preset coordination abnormality coefficient threshold value, it indicates that the operation safety hazard of the power distribution network is initially large, and then a power distribution network rectification alarm signal is generated; If the coordination anomaly coefficient does not exceed the preset coordination anomaly coefficient threshold, a set of preset grid impact weight values ​​corresponding to each type of power equipment is set in advance, wherein the values ​​of the preset grid impact weight values ​​are all positive numbers, and the more important a certain type of power equipment is to the power distribution network, the larger the preset grid impact weight value that matches it; the inspection value of the number of power equipment to be rectified of each type is multiplied by the corresponding preset grid impact weight value to obtain the coefficient to be rectified; The emergency value to be rectified is calculated by summing up the coefficients to be rectified of all types of power equipment, and the emergency value to be rectified is compared with the preset emergency threshold to be rectified. If the emergency value to be rectified exceeds the preset emergency threshold to be rectified, indicating that the operational safety hazards of the power distribution network are generally large, a power distribution network rectification alarm signal is generated; and the power distribution network rectification warning signal is sent to the remote monitoring module to remind management personnel to make corresponding improvement and optimization measures in a timely manner and strengthen the operational supervision of the power distribution network, so as to further improve the operational safety and stability of the power distribution network.

[0023] The working principle of the present invention is as follows: when in use, the power distribution network is monitored by the power distribution network monitoring module to obtain the status data of the power distribution network. The data processing center performs intelligent analysis based on the status data of the power distribution network to determine whether the power distribution network is in an abnormal state. When it is determined that the power distribution network is in an abnormal state, the automatic adjustment module adjusts the power distribution network state, thereby improving the stability and reliability of power supply. When the automatic adjustment module or the remote management personnel issues an adjustment instruction through the remote monitoring module to adjust the relevant power equipment, the power equipment execution monitoring module monitors and analyzes the execution efficiency of the power equipment. The power equipment execution evaluation module evaluates the instruction execution status of each power equipment based on all execution efficiency monitoring and analysis information within the detection period, and determines the non-matching equipment and the high-matching equipment accordingly. It can reasonably analyze and accurately evaluate the instruction execution performance of each power equipment and timely inspect, repair or replace the corresponding power equipment, which is conducive to formulating matching supervision plans for different power equipment, significantly reducing the management difficulty of management personnel, and ensuring the safe and stable operation of the power system.

[0024] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. 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 contents 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 technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An intelligent monitoring and regulation system for power distribution network, characterized in that: It includes power distribution network monitoring module, data processing center, intelligent alarm module, automatic adjustment module and remote monitoring module; The power distribution network monitoring module monitors the power distribution network through various sensors integrated in the power distribution network, collects the status data of the power distribution network in real time, and sends the status data of the power distribution network to the data processing center; The data processing center receives the status data of the power distribution network and performs intelligent analysis on the status data of the power distribution network through a data analysis algorithm to determine whether the power distribution network is in an abnormal state; When it is determined that the power distribution network is in an abnormal state, the intelligent alarm module immediately triggers the alarm mechanism and sends alarm information to the remote monitoring module and the automatic adjustment module. The automatic adjustment module automatically adjusts the relevant power equipment in the power distribution network to accurately adjust the power distribution network status; Remote management personnel can manually adjust the power distribution network through the remote monitoring module, and remotely access the data processing center through the remote monitoring module to view the status data and analysis results of the power distribution network in real time, and conduct remote monitoring and management.

2. The intelligent monitoring and regulation system for power distribution network according to claim 1 is characterized in that: It also includes an electric power equipment execution monitoring module. When the automatic adjustment module or the remote management personnel issues an adjustment instruction through the remote monitoring module to adjust the relevant electric power equipment, the electric power equipment execution monitoring module collects the issuance time of the adjustment instruction and marks it as the first time, and collects the execution completion time of the electric power equipment corresponding to the adjustment instruction and marks it as the second time, marks the interval between the first time and the second time as the electric power equipment execution time value, and stores the electric power equipment execution time value.

3. The intelligent monitoring and regulation system for power distribution network according to claim 2 is characterized in that: The power equipment execution monitoring module is communicatively connected to the power equipment execution evaluation module, and the power equipment execution evaluation module is used to set the detection period, obtain the power equipment that needs to be monitored in the power distribution network, and mark the power equipment that needs to be monitored as u, where u is a natural number greater than 1; The power equipment execution monitoring module sends all power equipment execution values ​​of the power equipment u during the detection period to the power equipment execution evaluation module. The power equipment execution evaluation module analyzes the instruction execution status of the power equipment u during the detection period, marks the power equipment u as a non-adaptive device or a high-matching device through analysis, and sends the marking information of the power equipment u to the remote monitoring module.

4. The intelligent monitoring and regulation system for power distribution network according to claim 3 is characterized in that: The process of the power equipment execution evaluation module analyzing the instruction execution status of the power equipment u during the detection period includes: All power equipment execution values ​​of power equipment u during the detection period are obtained. If any power equipment execution value is not within its corresponding specified time length, the power equipment execution value is marked as a power equipment abnormal time value. The number of power equipment abnormal time values ​​of power equipment u is calculated by ratio with the number of power equipment execution values ​​to obtain the power equipment abnormal measurement value of power equipment u. If the power equipment abnormal measurement value exceeds the preset power equipment abnormal measurement threshold, the power equipment u is marked as a non-adaptive device.

5. The intelligent monitoring and regulation system for power distribution network according to claim 4 is characterized in that: If the abnormal measurement value of the power equipment does not exceed the preset abnormal measurement threshold of the power equipment, the ratio of each power equipment execution time value of the power equipment u to the corresponding specified time length is marked as the power equipment execution value, and all power equipment execution values ​​of the power equipment u in the detection period are averaged to obtain the power equipment analysis value; The power equipment evaluation value is obtained by numerically calculating the power equipment abnormal measurement value and the power equipment analysis value. If the power equipment evaluation value exceeds the preset power equipment evaluation threshold, the power equipment u is marked as a non-matching device; if the power equipment evaluation value does not exceed the preset power equipment evaluation threshold, the power equipment u is marked as a high-matching device.

6. The intelligent monitoring and regulation system for power distribution network according to claim 3 is characterized in that: The power equipment execution evaluation module is communicatively connected to the power equipment degradation prediction and analysis module. The power equipment execution evaluation module sends the high-matching device to the power equipment degradation prediction and analysis module. The power equipment degradation prediction and analysis module performs degradation prediction analysis on the high-matching device, and accordingly marks the high-matching device as a high-degradation device or a low-degradation device, and sends the marking information of the high-matching device to the remote monitoring module.

7. The intelligent monitoring and regulation system for power distribution network according to claim 6 is characterized in that: The specific analysis process of recession prediction analysis includes: The production date of the high-matching device is collected, and the interval between the current date and the production date is marked as the production detection value. The total number of failures of the high-matching device in the past three months is collected and marked as the failure detection value; Collect the real-time data of various environmental parameters that need to be monitored in the environment where the high-matching device is located, compare the real-time data of each environmental parameter with the corresponding preset data requirements, and if there is an environmental parameter whose real-time data does not meet the corresponding preset data requirements, then judge that the high-matching device is in a vulnerable state, obtain the total time of the high-matching device in the vulnerable state in the historical stage and mark it as a vulnerable detection value; The deformation detection value is obtained by deformation analysis of the power equipment, and the production detection value, fault detection value, fragility detection value and deformation detection value are numerically calculated to obtain the recession prediction coefficient. If the recession prediction coefficient exceeds the preset recession prediction coefficient threshold, the high-matching equipment is marked as a high-recession equipment; if the recession prediction coefficient does not exceed the preset recession prediction coefficient threshold, the high-matching equipment is marked as a low-recession equipment.

8. The intelligent monitoring and regulation system for power distribution network according to claim 7 is characterized in that: The specific analysis process of power equipment deformation analysis includes: A number of detection points are set on the high-matching device, the real-time distance value between the two groups of detection points is collected and the deviation value from the initial standard distance value is marked as the point separation deviation table value, and the ratio of the point separation deviation table value to the preset point separation deviation table threshold is marked as the point separation deviation value; all the point separation deviation values ​​of the high-matching device are averaged to obtain the point separation detection value, and the point separation deviation value with the largest value in the high-matching device is marked as the point separation danger value; The point spacing deviation table value is numerically compared with the preset point spacing deviation table threshold. If the point spacing deviation table value exceeds the preset point spacing deviation table threshold, the point spacing deviation table value is marked as the point spacing anomaly table value, and the number of point spacing anomaly table values ​​in the high-matching device is obtained and the ratio is calculated with the number of point spacing deviation table values ​​to obtain the point spacing anomaly share value; the deformation detection value is obtained by numerically calculating the point spacing inspection value, the point spacing danger value and the point spacing anomaly share value.

9. The intelligent monitoring and regulation system for power distribution network according to claim 1, characterized in that: The remote monitoring module is connected to the power distribution network rectification and analysis module through communication. The power distribution network rectification and analysis module obtains and classifies all power equipment in the power distribution network, and obtains the marking information of all power equipment. If any power equipment is marked as a non-adaptive device or a high-fading device, the power equipment is defined as a device to be rectified. The number of electric power equipment defined as equipment to be rectified in each type of electric power equipment is obtained and marked as the number inspection value to be rectified, the number inspection values ​​to be rectified of all types of electric power equipment are summed and calculated, and the ratio of the sum to the total number of electric power equipment to be monitored in the power distribution network is marked as the coordination abnormality coefficient, and if the coordination abnormality coefficient exceeds the preset coordination abnormality coefficient threshold, a power distribution network rectification alarm signal is generated; If the coordination abnormality coefficient does not exceed the preset coordination abnormality coefficient threshold, a set of preset grid impact weight values ​​is set in advance for each type of power equipment, and the number of inspection values ​​to be rectified for each type of power equipment is multiplied by the corresponding preset grid impact weight value to obtain the coefficient to be rectified; The emergency value to be rectified is calculated by summing up the coefficients to be rectified of all types of power equipment. If the emergency value to be rectified exceeds the preset emergency threshold to be rectified, an electric power distribution network rectification alarm signal is generated; and the electric power distribution network rectification warning signal is sent to the remote monitoring module.

Images