CN112881851A - Method for online monitoring and diagnosis of transformer substation direct current system - Google Patents
Method for online monitoring and diagnosis of transformer substation direct current system Download PDFInfo
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- CN112881851A CN112881851A CN202110310215.3A CN202110310215A CN112881851A CN 112881851 A CN112881851 A CN 112881851A CN 202110310215 A CN202110310215 A CN 202110310215A CN 112881851 A CN112881851 A CN 112881851A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
Abstract
The invention belongs to the technical field of electric power. A method for online monitoring and diagnosis of a transformer substation direct current system is characterized by comprising the following steps: 1) preparing an online monitoring and diagnosing system of a direct current system of a transformer substation; the on-line monitoring and diagnosing system of the transformer substation direct current system comprises a storage battery detection sensor, a charging device detection sensor, a bus detection sensor, an insulation detection sensor, a microprocessor, a field monitor, a server and a management platform; the management platform comprises a remote monitoring computer and a mobile phone; 2) the sensor collects working condition information of the direct current system of the transformer substation in real time to the ARM microprocessor, compares the working condition information with a set threshold value, uploads the working condition information to the server, and can feed back the working condition information to operation and maintenance personnel of the transformer substation in time through audible and visual alarm when a fault occurs. The state of the direct current system of the transformer substation can be remotely monitored through online real-time monitoring.
Description
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to an online monitoring and diagnosing method for a direct current system of a transformer substation.
Background
The transformer substation is the core of a power grid and is responsible for the power supply task of the area, the direct current system is important equipment of a power system and is used as an important power supply for automatic control, protection, switch on-off and the like of occasions such as intelligent power grid automatic distribution network equipment, transformer substations and the like, and the performance and quality of the direct current system are directly related to the stable operation and equipment safety of the power grid.
The main components of the transformer substation direct current system are as follows: a charger (or called charging equipment and charging device), a storage battery set positioned in the storage battery chamber; the charging screen and the feeding screen are positioned in the relay protection room; and a direct current bus and a direct current load located in each functional room. The charger obtains power from the station transformer, supplies power to the direct current bus after rectification and charges the storage battery.
The direct current system can stably operate and is connected with the prevention of system damage, accident continuous expansion and equipment serious damage in a myriad ways, and the normal supply of the power system can be directly influenced.
Disclosure of Invention
The invention aims to provide an on-line monitoring and diagnosing method for a direct current system of a transformer substation, which can realize the remote monitoring of the state of the direct current system of the transformer substation.
In order to realize the purpose of the invention, the technical scheme adopted by the invention is as follows: a method for online monitoring and diagnosing a direct current system of a transformer substation comprises the following steps:
1) preparing an online monitoring and diagnosing system of a direct current system of a transformer substation; the on-line monitoring and diagnosing system of the transformer substation direct current system is characterized by comprising a storage battery detection sensor, a charging device detection sensor, a bus detection sensor, an insulation detection sensor, a microprocessor, an on-site monitor, a server and a management platform; the management platform comprises a remote monitoring computer and a mobile phone, wherein a PC end webpage client built based on a B/S framework is installed on the remote monitoring computer, and a mobile phone APP developed based on Android is installed on the mobile phone; the storage battery detection sensor, the charging device detection sensor, the bus detection sensor and the insulation detection sensor are respectively connected with the input end of an ARM microprocessor based on a Linux operating system, and a display port of the ARM microprocessor is connected with a display screen; the field monitor is connected with the ARM microprocessor through network communication; the ARM microprocessor is in communication connection with the server through network communication, and the server is in communication connection with the remote monitoring computer and the mobile phone through the network communication respectively; the storage battery detection sensor, the charging device detection sensor, the bus detection sensor and the insulation detection sensor are respectively arranged on a direct current system of the transformer substation, and the field monitor and the microprocessor are arranged in a transformer substation room;
2) the sensor collects working condition information of the direct current system of the transformer substation in real time to the ARM microprocessor, compares the working condition information with a set threshold value, uploads the working condition information to the server, and can feed back the working condition information to operation and maintenance personnel of the transformer substation in time through audible and visual alarm when a fault occurs.
The storage battery detection sensor comprises a voltage sensor, a current sensor, a storage battery internal resistance monitoring sensor and a temperature sensor of the storage battery, wherein the voltage sensor, the storage battery internal resistance monitoring sensor and the temperature sensor of the storage battery are all arranged on the storage battery.
The charging device detection sensor comprises a voltage sensor and a current sensor, and the voltage sensor and the current sensor are both arranged on a circuit of the charging device.
The bus detection sensor comprises a voltage sensor, and the voltage sensor is installed on the bus.
The insulation detection sensor is a microcomputer insulation monitor or an electronic direct current system monitoring device, and is installed on the bus.
The specific content of the comparison with the set threshold is as follows:
firstly, collecting historical data, analyzing the historical data, setting a corresponding data analysis algorithm, and obtaining an operation library (set threshold value) of the equipment operation state;
secondly, obtaining a real-time predicted value of the running state of the equipment for the real-time online monitoring data by using a regression method, wherein the real-time predicted value is normal within a set threshold value range, otherwise, the real-time predicted value is abnormal, and then realizing monitoring and early warning by using a related alarm rule.
The innovation points of the invention are as follows:
1. the direct current system of the transformer substation is managed in a full period, so that real-time fault monitoring and later-stage upgrading optimization of equipment are facilitated
During the operation of the equipment, the working conditions (information) of the system are collected by various sensors in real time and are sent to the ARM microprocessor, the working conditions (information) are compared with a set threshold value and then are uploaded to a server, and when a fault occurs, the working conditions (information) can be timely fed back to operation and maintenance personnel of a transformer substation through audible and visual alarm, so that the system fault diffusion which occurs when the system problem is not timely processed is avoided.
2. The state of the direct current system of the transformer substation is comprehensively judged through data analysis, and symptomatic medicine giving is realized "
The traditional phenomenon of single working condition judgment and complex maintenance and repair is abandoned, and the state of the direct current system is comprehensively judged by setting a corresponding data analysis algorithm, so that the labor and the equipment cost are greatly saved. After the system state is comprehensively judged by the algorithm in the aspect of later-stage upgrading, the diagnosis page provides a corresponding solution and corresponding solvers, and symptomatic medicine dispensing of equipment faults is really realized.
3. A management platform is established
A PC end webpage client built based on the B/S framework and a mobile phone APP developed based on Android jointly form a management platform with complete functions, and online monitoring and diagnosis of the direct current system of the transformer substation are achieved. The webpage client can enter the management platform only by logging in the corresponding website through the browser. And the management platform integrates the state information of the substation direct current system equipment uploaded in the server, displays the state information, alarm information and the like of the equipment on the webpage client in real time, and completes the upgrading and optimization of the substation direct current system equipment by analyzing the fault log. Mobile monitoring to the transformer substation is realized to cell-phone APP, can send the equipment alarm information of server propelling movement to operation and maintenance personnel cell-phone in real time simultaneously.
4. System interconnection and power-assisted smart grid realized by using Internet of things
The smart grid is essentially a product of the integration of the internet of things technology and the traditional power grid, and the capability of power grid information perception, information interconnection and intelligent control can be greatly improved. The technology of the internet of things can be widely applied to all links from power generation, power transmission, power transformation, power distribution to power utilization of a smart grid, the information perception depth and the information perception breadth of all the links of the smart grid can be improved in an all-around mode, reliable transmission of information flow, service flow and power flow of the power grid is supported, and intelligent management of a power system is achieved.
The invention has the beneficial effects that: the state of the direct current system of the transformer substation can be remotely monitored through online real-time monitoring.
(1) Compared with a manual monitoring mode, the intelligent monitoring inevitably improves the working efficiency and greatly reduces the use of manpower resources;
(2) the fault detection accuracy and the real-time performance of the direct current system of the transformer substation are improved, the safety and the reliability of the transformer substation are further improved, and the operation reliability of the transformer substation is improved through prevention in advance.
(3) The state advocates power system intellectualization vigorously, and the direct current monitoring system conforms to an intelligent transformer substation.
Drawings
Fig. 1 is a schematic structural diagram of an online monitoring and diagnosing system of a substation dc system according to the present invention.
Fig. 2 is a schematic view of the structure of the insulation detecting sensor.
Reference numbers in the figures: 1-a sensing layer, 2-a microprocessor layer, 3-a network layer and 4-a management platform.
Detailed Description
As shown in fig. 1, a method for online monitoring and diagnosis of a dc system of a substation includes the following steps:
1) preparing an online monitoring and diagnosing system of a direct current system of a transformer substation;
2) the sensor collects the working condition (information) of the direct current system of the transformer substation in real time to the ARM microprocessor, compares the working condition (information) with a set threshold value, uploads the working condition (information) to the server, and can feed back the working condition (information) to the operation and maintenance personnel of the transformer substation in time through audible and visual alarm when a fault occurs.
The specific content of comparison with the set threshold is as follows:
firstly, collecting historical data, analyzing the historical data, setting a corresponding data analysis algorithm, and obtaining an operation library (set threshold value) of the equipment operation state;
secondly, obtaining a real-time predicted value of the running state of the equipment for the real-time online monitoring data by using a regression method, wherein the real-time predicted value is normal within a set threshold value range, otherwise, the real-time predicted value is abnormal, and then realizing monitoring and early warning by using a related alarm rule.
As shown in fig. 1, the online monitoring and diagnosing system of the dc system of the substation includes a storage battery detection sensor, a charging device detection sensor, a bus detection sensor, an insulation detection sensor, a microprocessor (an ARM microprocessor based on a Linux operating system), a field monitor (i.e., a camera), a server, and a management platform; the management platform comprises a remote monitoring computer (PC end) and a mobile phone, wherein the remote monitoring computer is provided with a PC end webpage client (B/S architecture webpage client for short) built based on a B/S architecture, and the mobile phone is provided with a mobile phone APP developed based on Android; the storage battery detection sensor, the charging device detection sensor, the bus detection sensor and the insulation detection sensor are respectively connected with the input end of an ARM microprocessor based on a Linux operating system, and a display port of the ARM microprocessor is connected with a display screen; the field monitor (namely a camera) is connected with the ARM microprocessor through network communication; the ARM microprocessor is in communication connection with a server through network communication, and the server is in communication connection with a remote monitoring computer (PC end) and a mobile phone through the network communication respectively; the storage battery detection sensor, the charging device detection sensor, the bus detection sensor and the insulation detection sensor are respectively installed on a direct current system of the transformer substation, and the field monitor (namely a camera) and the microprocessor are installed in a transformer substation room.
The storage battery detection sensor comprises a voltage sensor, a current sensor, a storage battery internal resistance monitoring sensor (or called storage battery internal resistance monitoring module) and a temperature sensor of the storage battery, wherein the voltage sensor, the storage battery internal resistance monitoring sensor and the temperature sensor of the storage battery are all arranged on the storage battery. The battery detection sensor collects information such as voltage, current, internal resistance, ambient temperature and the like of the storage battery.
The charging device detection sensor comprises a voltage sensor and a current sensor, and the voltage sensor and the current sensor are both arranged on a circuit of the charging device. The running state (such as voltage and current of the charging device) of the charging device (charger) is collected through the sensor.
The bus detection sensor comprises a temperature sensor and a voltage sensor, the voltage sensor is installed on the bus, and the temperature sensor is installed at the bus. The bus detection sensor collects information such as voltage and ambient temperature on the bus.
The DC bus voltage should be kept between 85-110%. Too high a voltage will reduce the life of the lamp bulb of the signaling device and overheat the relay coil which is often excited. The voltage is too low, the brightness of the signal lamp is insufficient, and the mechanisms of the relay and the circuit breaker do not normally work.
The insulation detection sensor (or microcomputer insulation monitor, direct current insulation monitoring device) is installed on the bus. The insulation condition and the resistance to ground are detected.
The insulation detection sensor can adopt an WJY3000A microcomputer insulation monitor, the host machine detects the voltage to ground of the positive and negative direct current buses, and the insulation resistance of the positive and negative buses to the ground is calculated through the voltage to ground.
The insulation detection sensor can adopt an electronic direct current system monitoring device, the principle wiring is shown in FIG. 2, RD1 and RD2 are insulation resistances of the positive pole and the negative pole of the direct current system to the ground; r1, R2 are resistors, 50W, 1000 omega; r3 is an adjustable resistor, 50W and 1000 omega; v1 is a direct current voltmeter with ohm scales, and the internal resistance is 100 Komega; v2 is a direct current voltmeter with internal resistance of 100 Komega, 0-250V; XJJ is a current relay, and the action current does not exceed 3 mA; 1CK and 2CK are change-over switches; the 1RD and 2RD are fuses for protection. The device is internally provided with a low-frequency signal generator which generates a low-frequency sinusoidal signal between the direct current bus and the ground. When the insulation of a certain DC feeder line loop to the ground is reduced or grounded, the low-frequency signal loops are communicated, so that the signal device can act to alarm.
The on-line monitoring and diagnosing system of the transformer substation direct current system has the following characteristics:
1. the intelligent monitoring, on-line monitoring diagnostic system can detect each module (machine that charges, battery, generating line) to the direct current system of transformer substation and control and manage, mainly detect direct current system operating parameter, can handle long-range direct current system's of transformer substation abnormal conditions, judge direct current system operation situation according to the operating parameter at scene, and carry out corresponding regulation control, thereby carry out full automatic management to direct current system, realize the continuous, reliable, stable, safe operation of direct current system of transformer substation, still possess simultaneously:
(1) and acquiring and setting the operation performance parameters of the direct current system of the transformer substation through a monitoring system field detection terminal module. Such as real-time voltage value, real-time current value, insulation internal resistance, battery capacity, etc., can be presented in various forms such as graphs, tables, curves, simulation diagrams, etc.
(2) And testing the internal resistance of the storage oil. The direct current monitoring system can carry out remote on-line monitoring on the charging and discharging of the storage battery without manual operation of workers.
2. The method comprises the steps of data analysis and early warning, flow of an online monitoring platform of the direct-current system equipment is achieved, a powerful data processing background (an ARM microprocessor is adopted, and an integrated query module and an alarm module are arranged in the ARM microprocessor) can automatically analyze massive historical data, rich early warning knowledge is excavated, an operation base of the equipment operation state is obtained, a regression method is used for real-time online monitoring data to obtain a real-time predicted value of the equipment operation state, and then monitoring and early warning of the power transmission equipment are achieved through related alarm rules. The following functions are mainly realized:
(1) the real-time data management can visually display various parameters and indexes of related equipment of the direct current system in the transformer substation in the modes of graphs, curves, tables and the like, and query the parameters of specific conditions in a retrieval mode.
(2) The comprehensive query mainly aims at realizing comprehensive query statistics of the direct current system of the transformer substation, constructing from the longitudinal and transverse aspects and paying attention to deep data mining.
(3) And the statistical report is used for carrying out statistical summary according to the data attribute and the function, a user can click a system report export button to export the report in a certain format form according to needs, and whether the report is printed according to the needs.
(4) And alarm management, which is mainly used for informing a substation maintenance manager in a visual or auditory way when the system judges that the acquired data is abnormal.
3. The management platform is characterized in that a PC (personal computer) end of the management platform adopts an advanced B/S (browser/server) framework, a mobile phone end adopts an application program developed based on Android, systems composed of the remote management terminals, the sensors and the embedded equipment are distributed in various branch companies to form an Internet of things system, and the management platform can be logged in as long as a network exists. And an interface compatible with the existing platform is reserved, so that the integration of the platforms is facilitated.
The platform realizes interconnection and intercommunication and data sharing among systems, provides professional information such as remote monitoring, accident early warning and fault diagnosis for transformer substation operation and maintenance personnel, and accordingly establishes a set of efficient equipment operation and maintenance management system for the transformer substation direct current system. The research content can be subdivided into the following aspects:
(1) the research is built based on a B/S architecture management platform, and a manager can log in the management platform to operate as long as a network exists;
(2) the design and research work of the management and platform webpage UI is presented to a visual operation interface of a manager in a webpage form by using JavaScript;
(3) communication between a management platform webpage and a server is completed by researching an application layer http protocol, so that safety state data of an operator are obtained;
(4) research is based on mobile terminal APP development of Android.
The sensing layer is mainly composed of various hardware sensors for acquiring data, and acquired signals are converted into electric signals which can be identified by the microprocessor through the sensors.
The microprocessor layer mainly comprises a Linux operating system, an ARM microprocessor, a display screen and the like, and mainly realizes the functions of processing sensor data, displaying a man-machine interaction interface, uploading data information to a Web server and the like of the intelligent terminal.
The network layer acquires the related information of the monitored object in a wired mode such as a CAN bus or a 485 bus and a wireless sensor network mode such as Bluetooth, WiFi, zigbee and RF ID, and transmits the related information to the remote server in a GPRS, WiFi and Ethernet mode.
The management platform (or called application layer) is composed of a B/S framework webpage client layer and a mobile phone APP developed based on Android and used for achieving the management platform, management personnel can log in corresponding webpages through a browser to conduct management operation, and the management personnel can check corresponding state information through the mobile phone APP in real time.
Claims (6)
1. A method for online monitoring and diagnosis of a transformer substation direct current system is characterized by comprising the following steps:
1) preparing an online monitoring and diagnosing system of a direct current system of a transformer substation; the on-line monitoring and diagnosing system of the transformer substation direct current system comprises a storage battery detection sensor, a charging device detection sensor, a bus detection sensor, an insulation detection sensor, a microprocessor, a field monitor, a server and a management platform; the management platform comprises a remote monitoring computer and a mobile phone, wherein a PC end webpage client built based on a B/S framework is installed on the remote monitoring computer, and a mobile phone APP developed based on Android is installed on the mobile phone; the storage battery detection sensor, the charging device detection sensor, the bus detection sensor and the insulation detection sensor are respectively connected with the input end of an ARM microprocessor based on a Linux operating system, and a display port of the ARM microprocessor is connected with a display screen; the field monitor is connected with the ARM microprocessor through network communication; the ARM microprocessor is in communication connection with the server through network communication, and the server is in communication connection with the remote monitoring computer and the mobile phone through the network communication respectively; the storage battery detection sensor, the charging device detection sensor, the bus detection sensor and the insulation detection sensor are respectively arranged on a direct current system of the transformer substation, and the field monitor and the microprocessor are arranged in a transformer substation room;
2) the sensor collects working condition information of the direct current system of the transformer substation in real time to the ARM microprocessor, compares the working condition information with a set threshold value, uploads the working condition information to the server, and can feed back the working condition information to operation and maintenance personnel of the transformer substation in time through audible and visual alarm when a fault occurs.
2. The method for on-line monitoring and diagnosis of the substation direct current system according to claim 1, characterized in that: the storage battery detection sensor comprises a voltage sensor, a current sensor, a storage battery internal resistance monitoring sensor and a temperature sensor of the storage battery, wherein the voltage sensor, the storage battery internal resistance monitoring sensor and the temperature sensor of the storage battery are all arranged on the storage battery.
3. The method for on-line monitoring and diagnosis of the substation direct current system according to claim 1, characterized in that: the charging device detection sensor comprises a voltage sensor and a current sensor, and the voltage sensor and the current sensor are both arranged on a circuit of the charging device.
4. The method for on-line monitoring and diagnosis of the substation direct current system according to claim 1, characterized in that: the bus detection sensor comprises a voltage sensor, and the voltage sensor is installed on the bus.
5. The method for on-line monitoring and diagnosis of the substation direct current system according to claim 1, characterized in that: the insulation detection sensor is mounted on the bus.
6. The method for on-line monitoring and diagnosis of the substation direct current system according to claim 1, characterized in that: comparing the following with a set threshold:
collecting historical data, analyzing the historical data, setting a corresponding data analysis algorithm, and obtaining an operation library of the operation state of equipment;
secondly, obtaining a real-time predicted value of the running state of the equipment for the real-time online monitoring data by using a regression method, wherein the real-time predicted value is normal within a set threshold value range, otherwise, the real-time predicted value is abnormal, and then realizing monitoring and early warning by using a related alarm rule.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113310524A (en) * | 2021-06-03 | 2021-08-27 | 国网安徽省电力有限公司安庆供电公司 | Transformer substation direct current system on-line monitoring system based on 5G communication technology |
| CN113933626A (en) * | 2021-09-30 | 2022-01-14 | 滁州市智宏工程咨询有限责任公司 | Fault detection and correction control method for direct-current system of transformer substation |
| CN117074832A (en) * | 2023-08-24 | 2023-11-17 | 云南电网有限责任公司文山供电局 | Fault monitoring system for direct current system of transformer substation |
-
2021
- 2021-03-23 CN CN202110310215.3A patent/CN112881851A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113310524A (en) * | 2021-06-03 | 2021-08-27 | 国网安徽省电力有限公司安庆供电公司 | Transformer substation direct current system on-line monitoring system based on 5G communication technology |
| CN113933626A (en) * | 2021-09-30 | 2022-01-14 | 滁州市智宏工程咨询有限责任公司 | Fault detection and correction control method for direct-current system of transformer substation |
| CN117074832A (en) * | 2023-08-24 | 2023-11-17 | 云南电网有限责任公司文山供电局 | Fault monitoring system for direct current system of transformer substation |
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