Digital intelligent low-voltage distribution network state monitoring and fault diagnosis method and system

Abstract

The invention discloses a digital-intelligent low-voltage power distribution network state monitoring and fault diagnosis method and system. The method comprises the following steps: step 1, carrying out regional module division on a low-voltage power distribution network; step 2, performing information acquisition on the divided area modules through a sensor; step 3, packaging and sending the collected information to a background terminal by each area module, and displaying the collected information on a three-dimensional GIS of the low-voltage power distribution network by the background terminal; 4, performing real-time monitoring and data analysis on the operation state of the regional module according to the collected information, displaying abnormal points on the three-dimensional GIS of the low-voltage power distribution network, and giving an alarm for abnormity; by installing the sensor and the alarm device, real-time monitoring and alarm of internal environment parameters of the power distribution cabinet are achieved, safe operation of equipment is ensured, the problem of faults caused by poor equipment operation environment is solved, and safe operation of the equipment is achieved.

Description

Technical Field

[0001] The present invention relates to the field of substation safety technology, and in particular to a digital low-voltage distribution network state monitoring and fault diagnosis method and system. Background Art

[0002] In the low-voltage distribution network power supply system, due to the relatively low voltage, the rate and degree of fault occurrence are relatively less obvious than those of high voltage. In addition, there are relatively more electrical equipment in the low-voltage power supply system, and each electrical equipment has fault problems. At present, the cable joints and reactive compensation capacitors inside the traditional distribution cabinet have serious heating problems, resulting in excessive temperature inside the cabinet. In addition, the working status of the reactive compensation capacitor cannot be monitored in real time, the communication capability is insufficient to support information exchange between devices, there is a lack of timely alarm mechanism for transformer power outage and power restoration, and the circuit breaker switch status monitoring method is insufficient. Summary of the invention

[0003] The main technical problem solved by the present invention is to provide a digital low-voltage distribution network status monitoring and fault diagnosis method and system, which can realize real-time measurement of monitoring points through new detection and alarm modes.

[0004] In order to solve the above technical problems, a technical solution adopted by the present invention is to provide a digital low-voltage distribution network state monitoring and fault diagnosis method, the steps of which are:

[0005] Step 1: Divide the low voltage distribution network into regional modules;

[0006] Step 2: Collect information from the divided area modules through sensors;

[0007] Step 3: Each regional module packages the collected information and sends it to the background terminal, which displays the collected information on the low-voltage distribution network three-dimensional GIS;

[0008] Step 4: Based on the collected information, the operating status of the regional module is monitored in real time and data is analyzed, abnormal points are displayed on the low-voltage distribution network three-dimensional GIS, and an alarm is issued for abnormalities.

[0009] Furthermore, in the step 1, the low-voltage distribution network is divided into regional modules in the following manner: the low-voltage distribution network is divided into a transmission line module, a transformation module, a distribution module and a switch module according to different functions.

[0010] Furthermore, in step 2, the sensor includes a voltage sensor, a current sensor, a temperature sensor, a humidity sensor and a smoke alarm.

[0011] Furthermore, in step 2, the information includes voltage, current, temperature, humidity and detection position of each detection point.

[0012] Furthermore, in step three, the process in which each regional module packages the collected information and sends it to the background terminal is as follows: a communication module is provided at each detection position in each regional module, and the communication modules in the same regional module form a star-shaped communication network structure, and a communication module is selected as the main communication module to communicate wirelessly with the background terminal.

[0013] Furthermore, in the step three, the virtual image of the low-voltage distribution network is to model the low-voltage distribution network in the controller in advance, and mark the low-voltage distribution network model according to the position to be detected, and map the position and mark in the information so that the information is displayed on the model.

[0014] Furthermore, in step 4, the data of each detection location is compared with the set threshold value. When the detection value exceeds the threshold range, it is determined that the detection point is abnormal, and the abnormal detection point is displayed on the low-voltage distribution network three-dimensional GIS according to the location of the abnormal detection point.

[0015] Furthermore, in step 4, the process of alarming the abnormality is to retrieve the contact information of the person responsible for the detection point according to the location of the abnormal point, and send the abnormal information to the mobile terminal of the person through the alarm channel.

[0016] In order to solve the above technical problems, another technical solution adopted by the present invention is to provide a digital low-voltage distribution network status monitoring and fault diagnosis system, which is characterized by comprising a regional division module, an information acquisition module, a virtual display module and an analysis and alarm module, wherein:

[0017] Area division module: divides the low-voltage distribution network into transmission line module, substation module, distribution module and switch module according to different functions;

[0018] Information collection module: collects information on voltage, current, temperature, humidity and floating particles at each detection point through voltage sensors, current sensors, temperature sensors, humidity sensors and smoke alarms;

[0019] Virtual display module: Each detection position in each regional module is equipped with a communication module, and the communication modules in the same regional module form a star-shaped communication network structure. One communication module is selected as the main communication module to communicate wirelessly with the background terminal, and the background terminal displays the collected information on the low-voltage distribution network three-dimensional GIS;

[0020] Analysis and alarm module: Compare the data of each detection location with the set threshold value. When the detection value exceeds the threshold range, it is determined that the detection point is abnormal. The abnormal detection point is displayed on the low-voltage distribution network three-dimensional GIS according to the location of the abnormal detection point. The contact information of the person responsible for the detection point is retrieved according to the location of the abnormal point, and the abnormal information is sent to the person's mobile terminal in the form of a text message.

[0021] The beneficial effects of the present invention are:

[0022] The present invention divides the functions of the low-voltage distribution network, which is convenient for management and detection according to different functions. By installing sensors and alarm devices, real-time monitoring and alarm of the internal environmental parameters of the distribution cabinet are realized to ensure the safe operation of the equipment, solve the problem of failure caused by poor equipment operating environment, and realize safe operation of the equipment; automatic detection of transformers and distribution equipment is performed to improve the operating efficiency and reliability of the equipment, and solve the problem of failure caused by unclear equipment operating status; through real-time monitoring of power outages and power restoration in the substation area, alarm information is issued in time to ensure the stability and continuity of power supply; through the collection and analysis of power quality data and the calculation of line loss rate, a basis is provided for the optimized operation of the power system, the problem of energy waste caused by poor power quality and serious line loss is solved, and a basis is provided for the optimized operation of the power system; through the local operation and maintenance interface and human-computer interaction technology, remote monitoring and maintenance of the distribution cabinet system is realized, and the operation and maintenance efficiency and quality are improved; the data of the distribution cabinet system is interacted with the cloud platform to realize data sharing and remote management, improve the intelligence level of the system, and solve the problem of untimely and inconvenient remote monitoring and maintenance.

[0023] In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specifically cites preferred embodiments and describes them in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only two of the drawings in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 It is a flowchart of the application method;

[0026] Figure 2 It is a structural block diagram of the system of this application. DETAILED DESCRIPTION

[0027] In order to facilitate the understanding of the present invention, the present invention is described in more detail below in conjunction with the accompanying drawings and specific embodiments. Preferred embodiments of the present invention are provided in the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described in this specification. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0028] It should be noted that, unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in this specification includes any and all combinations of one or more related listed items.

[0029] See also Figure 1 , Figure 1 The present invention shows a digital low-voltage distribution network state monitoring and fault diagnosis method, the steps of which are:

[0030] Step S1, dividing the low voltage distribution network into regional modules;

[0031] Step S2, collecting information from the divided area modules through sensors;

[0032] Step S3, each regional module packages the collected information and sends it to the background terminal, and the background terminal displays the collected information on the low-voltage distribution network three-dimensional GIS;

[0033] Step S4: perform real-time monitoring and data analysis on the operating status of the regional modules based on the collected information, display abnormal points on the three-dimensional GIS of the low-voltage distribution network, and issue an alarm for abnormalities.

[0034] In step S1, the low-voltage distribution network is divided into regional modules in the following manner: the low-voltage distribution network is divided into a transmission line module, a transformer module, a distribution module and a switch module according to different functions.

[0035] The transmission line module is an overhead line and / or cable, the substation module is a transformer, the distribution module is a distribution cabinet, and the switch module is an isolating switch or a switch-type component.

[0036] In step S2, the sensors include a voltage sensor, a current sensor, a temperature sensor, a humidity sensor and a smoke alarm.

[0037] The information includes voltage, current, temperature, humidity and the detection position of each detection point.

[0038] The temperature includes the temperature of the electrical equipment and the ambient temperature. The humidity refers to the humidity in the transformer cabinet and the distribution box, and is combined with the temperature difference between the inside and the outside to prevent condensation. The smoke alarm adds a smoke alarm on the basis of temperature detection of fire to improve the detection of fire.

[0039] In step S3, the process in which each regional module packages the collected information and sends it to the background terminal is as follows: a communication module is provided at each detection position in each regional module, and the communication modules in the same regional module form a star-shaped communication network structure, and a communication module is selected as the main communication module to communicate wirelessly with the background terminal.

[0040] Among them, the virtual image of the low-voltage distribution network is to model the low-voltage distribution network in the controller in advance, mark the low-voltage distribution network model according to the location that needs to be detected, and map the location and mark in the information to display the information on the model.

[0041] In step S4, the data of each detection position is compared with the set threshold value. When the detection value exceeds the threshold range, it is determined that the detection point is abnormal, and the abnormal detection point is displayed on the low-voltage distribution network three-dimensional GIS according to the location of the abnormal detection point.

[0042] The operating status is reflected through corresponding operating indicators, including but not limited to load density, load balance, voltage drop, power supply radius and reliability indicators.

[0043] Load density (LD): It indicates the power load per unit area and is usually used to evaluate the load concentration in a certain area. It is obtained using the following formula:

[0044]

[0045] Where P is the power load of the region (km2 or MW) and A is the area of ​​the region (km2 or MW).

[0046] Load balance degree (LBD): used to evaluate the load balance between different modules, which helps to optimize the network structure. It is obtained using the following formula:

[0047]

[0048] Among them, L i is the load of the ith module, is the average load of all modules, and n is the number of modules.

[0049] Voltage drop (△V): It is used to evaluate the voltage drop during power transmission, which is crucial for the planning and design of distribution networks. It is obtained using the following formula:

[0050] ΔV=IZ

[0051] Where I is the current (A) and Z is the impedance of the line (Ω).

[0052] Power supply radius (R): It is the straight-line distance from the substation or distribution station to the farthest point in its power supply area. It is used to evaluate the coverage of the power supply network and is obtained using the following formula:

[0053]

[0054] Where P is the load power (km or mw), ΔV max is the maximum allowable voltage drop (V), C is the voltage loss coefficient of the line, I max is the maximum circuit (A).

[0055] Reliability index: Average power outage duration (SAIDI) and system average power outage frequency (SAIFI) are commonly used reliability indexes, which are obtained using the following formula:

[0056]

[0057] Among them, D t Refers to the time from the start of power outage to the restoration of power supply. This time should be accurately recorded in order to accurately calculate SAIDI; N t In each power outage event, the number of customers affected depends on the scope and scale of the outage; N n The total number of users powered by the system during the evaluation period.

[0058]

[0059] Among them, N t represents the number of users affected by each power outage; t represents the number of power outages each time; N n The total number of users; T represents the evaluation time period.

[0060] The process of alarming for anomalies is to retrieve the contact information of the person responsible for the detection point according to the location of the abnormal point, and send the abnormal information to the mobile terminal of the person through the alarm channel.

[0061] The alarm channels include the following:

[0062] Telephone alarm: The alarm information is delivered to relevant personnel in the form of voice through the telephone line. This method is suitable for scenarios that require instant communication, but it may be affected by the stability of the telephone line and network.

[0063] SMS alarm: The alarm information is sent to the mobile phones of relevant personnel through the SMS gateway. This method is instant and portable, but the SMS content may be subject to length restrictions.

[0064] Email Alert: Alert information is sent to relevant personnel via email. This method is suitable for scenarios where detailed recording and analysis of alarm information is required, but it may be affected by mailbox capacity and network stability.

[0065] Instant messaging software alarm: Send alarm information to relevant personnel through instant messaging software (such as DingTalk, Feishu, Enterprise WeChat, etc.). This method is instant and interactive, which makes it easy for relevant personnel to quickly respond to and handle alarm information.

[0066] Third-party platform alarm: Alarm information is sent to a third-party platform (such as a monitoring platform, operation and maintenance platform, etc.), which is managed and processed by the platform. This method is suitable for scenarios that require integration with other systems.

[0067] In order to solve the above technical problems, another technical solution adopted by the present invention is to provide a digital low-voltage distribution network state monitoring and fault diagnosis system, which is characterized by: Figure 2 As shown, it includes a region division module, an information collection module, a virtual display module and an analysis and alarm module, wherein:

[0068] Area division module: divides the low-voltage distribution network into transmission line module, substation module, distribution module and switch module according to different functions;

[0069] Information collection module: collects information on voltage, current, temperature, humidity and floating particles at each detection point through voltage sensors, current sensors, temperature sensors, humidity sensors and smoke alarms;

[0070] Virtual display module: Each detection position in each regional module is equipped with a communication module, and the communication modules in the same regional module form a star-shaped communication network structure. One communication module is selected as the main communication module to communicate wirelessly with the background terminal, and the background terminal displays the collected information on the low-voltage distribution network three-dimensional GIS;

[0071] Analysis and alarm module: Compare the data of each detection location with the set threshold value. When the detection value exceeds the threshold range, it is determined that the detection point is abnormal. The abnormal detection point is displayed on the low-voltage distribution network three-dimensional GIS according to the location of the abnormal detection point. The contact information of the person responsible for the detection point is retrieved according to the location of the abnormal point, and the abnormal information is sent to the person's mobile terminal in the form of a text message.

[0072] The above are only embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A digital low-voltage distribution network state monitoring and fault diagnosis method, the steps of which are: Step 1: Divide the low voltage distribution network into regional modules; Step 2: Collect information from the divided area modules through sensors; Step 3: Each regional module packages the collected information and sends it to the background terminal, which displays the collected information on the low-voltage distribution network three-dimensional GIS; Step 4: Based on the collected information, the operating status of the regional module is monitored in real time and data is analyzed, abnormal points are displayed on the low-voltage distribution network three-dimensional GIS, and an alarm is issued for abnormalities.

2. According to claim 1, a digital low-voltage distribution network state monitoring and fault diagnosis method is characterized by: In the step 1, the low-voltage distribution network is divided into regional modules in the following manner: the low-voltage distribution network is divided into a transmission line module, a transformer module, a distribution module and a switch module according to different functions.

3. According to claim 1, a digital low-voltage distribution network state monitoring and fault diagnosis method is characterized in that: In the step 2, the sensors include a voltage sensor, a current sensor, a temperature sensor, a humidity sensor and a smoke alarm.

4. According to claim 1, a digital low-voltage distribution network state monitoring and fault diagnosis method is characterized by: In the step 2, the information includes voltage, current, temperature, humidity and the detection position of each detection point.

5. According to claim 1, a digital low-voltage distribution network state monitoring and fault diagnosis method is characterized by: In step three, the process of each regional module packaging the collected information and sending it to the background terminal is as follows: a communication module is set at each detection position in each regional module, and the communication modules in the same regional module form a star-shaped communication network structure, and a communication module is selected as the main communication module to communicate wirelessly with the background terminal.

6. A digital low-voltage distribution network state monitoring and fault diagnosis method according to claim 1, characterized in that: In the step three, the low-voltage distribution network virtual image is to model the low-voltage distribution network in the controller in advance, mark the low-voltage distribution network model according to the position to be detected, and map the position and mark in the information so that the information is displayed on the model.

7. The method for digital low-voltage distribution network state monitoring and fault diagnosis according to claim 1 is characterized in that: In the step 4, the data of each detection position is compared with the set threshold value. When the detection value exceeds the threshold range, it is determined that the detection point is abnormal, and the abnormal detection point is displayed on the low-voltage distribution network three-dimensional GIS according to the location of the abnormal detection point.

8. The method for digital low-voltage distribution network status monitoring and fault diagnosis according to claim 1 is characterized in that: In the step 4, the process of alarming the abnormality is to retrieve the contact information of the person responsible for the detection point according to the location of the abnormal point, and send the abnormal information to the mobile terminal of the person through the alarm channel.

9. A digital low-voltage distribution network status monitoring and fault diagnosis system, characterized by: It includes area division module, information collection module, virtual display module and analysis and alarm module, among which: Area division module: divides the low-voltage distribution network into transmission line module, substation module, distribution module and switch module according to different functions; Information collection module: collects information on voltage, current, temperature, humidity and floating particles at each detection point through voltage sensors, current sensors, temperature sensors, humidity sensors and smoke alarms; Virtual display module: Each detection position in each regional module is equipped with a communication module, and the communication modules in the same regional module form a star-shaped communication network structure. One communication module is selected as the main communication module to communicate wirelessly with the background terminal, and the background terminal displays the collected information on the low-voltage distribution network three-dimensional GIS; Analysis and alarm module: Compare the data of each detection location with the set threshold value. When the detection value exceeds the threshold range, it is determined that the detection point is abnormal. The abnormal detection point is displayed on the low-voltage distribution network three-dimensional GIS according to the location of the abnormal detection point. The contact information of the person responsible for the detection point is retrieved according to the location of the abnormal point, and the abnormal information is sent to the person's mobile terminal in the form of a text message.

Images