CN113985205A - Power distribution network overvoltage acquisition method based on Beidou time service and edge calculation - Google Patents

Power distribution network overvoltage acquisition method based on Beidou time service and edge calculation Download PDF

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CN113985205A
CN113985205A CN202111256687.1A CN202111256687A CN113985205A CN 113985205 A CN113985205 A CN 113985205A CN 202111256687 A CN202111256687 A CN 202111256687A CN 113985205 A CN113985205 A CN 113985205A
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overvoltage
module
data
acquisition
time service
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段盼
张奔
杨作红
何娅
张连芳
刘峰佚
石英桥
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Chongqing University of Post and Telecommunications
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/086Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00Thermometers specially adapted for specific purposes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16566Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
    • G01R19/16571Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533 comparing AC or DC current with one threshold, e.g. load current, over-current, surge current or fault current
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385Arrangements for measuring battery or accumulator variables
    • G01R31/387Determining ampere-hour charge capacity or SoC
    • G01R31/388Determining ampere-hour charge capacity or SoC involving voltage measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13Receivers
    • G01S19/24Acquisition or tracking or demodulation of signals transmitted by the system
    • G01S19/25Acquisition or tracking or demodulation of signals transmitted by the system involving aiding data received from a cooperating element, e.g. assisted GPS
    • G01S19/256Acquisition or tracking or demodulation of signals transmitted by the system involving aiding data received from a cooperating element, e.g. assisted GPS relating to timing, e.g. time of week, code phase, timing offset

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Abstract

The invention relates to a power distribution network overvoltage acquisition method based on Beidou time service and edge calculation, and belongs to the field of automation. The method comprises the following steps: s1: the system collects the overvoltage data of the power grid in real time and analyzes the overvoltage type stage in situ through edge calculation; s2: performing a large-scale overvoltage synchronous acquisition stage by a Beidou time service technology; s3: performing overvoltage type analysis; s4: and warning and pushing, and uploading large-scale overvoltage data. The existing power distribution network overvoltage scheme is improved, large-area and high-quality overvoltage acquisition of a distribution network can be met, and a more efficient and faster overvoltage auxiliary and auxiliary decision model is established.

Description

Power distribution network overvoltage acquisition method based on Beidou time service and edge calculation
Technical Field
The invention belongs to the field of automation, and relates to a power distribution network overvoltage acquisition method based on Beidou time service and edge calculation.
Background
The distribution network is connected with users and the transmission network and plays a role in converting and consuming electric energy. In recent years, with the rapid development of national economic construction and the massive access of new energy and distributed power supplies, the form of a power grid is more and more complex, and the requirement on the reliability of power supply is higher and higher. Therefore, the distribution network bears more and more pressure in the aspects of preventing the risk of chemical solution power supply, improving the safe utilization rate of equipment and the like.
At the present stage, overvoltage acquisition is mainly completed through an industrial personal computer and an acquisition card, and data exchange is performed by matching with an Ethernet, so that online monitoring of overvoltage is realized. In the real-time monitoring process, the monitoring on the overvoltage of a certain transformer substation has an obvious effect. However, when the substation generates overvoltage and acquires large-scale measured voltage data, due to the randomness of overvoltage generation and difficulty in time synchronization of each substation monitoring system; therefore, the statistical distribution rule of the real overvoltage of the transformer substation is difficult to obtain, and data support cannot be provided for equipment operation risk assessment, insulation coordination and the like. Based on the reality, a large-scale overvoltage data acquisition scheme is needed at present, and then the voltage characteristics and the statistical distribution rule of the power distribution network are researched, so that the power supply risk prevention and resolving capability of the power grid is improved.
Currently, there are three main conventional methods for measuring overvoltage. Firstly, the voltage divider is used for measurement, but the voltage divider cannot operate in a power system for a long time; secondly, measuring by adopting a capacitive device in operation, such as a bushing or the end screen of a current transformer; thirdly, measuring by using a capacitor voltage transformer.
The three methods have advantages and disadvantages, and in practical use, the overvoltage of the distribution network can be effectively acquired through combination innovation of the three methods, but large-scale and high-quality actually-measured overvoltage data cannot be acquired.
The existing scheme for acquiring the overvoltage of the power distribution network also has the following problems and difficulties that (1) overvoltage acquisition equipment is widely distributed in the power distribution network, each module operates independently, time synchronization is difficult to achieve, fault time cannot be accurately acquired, and large-scale overvoltage data of adjacent acquisition equipment cannot be acquired; (2) the collected overvoltage information is not further analyzed; (3) for certain overvoltage conditions, the measurement data can be distorted in amplitude and waveform.
Aiming at the problem that a current overvoltage acquisition system cannot acquire large-scale and high-quality actual measurement overvoltage data, a set of power distribution network overvoltage acquisition scheme integrating real-time acquisition, synchronous time service, data filtering and waveform analysis is designed. This scheme is based on beidou system, through the cooperation of loRa technique with edge calculation, realizes overvoltage synchronous acquisition, field processing and data propelling movement.
Disclosure of Invention
In view of this, the invention aims to provide a power distribution network overvoltage acquisition method based on Beidou time service and edge calculation. Synchronous acquisition of overvoltage in a large range is realized; accurate acquisition of overvoltage data is realized; and classifying the overvoltage types in real time, pushing and reporting.
In order to achieve the purpose, the invention provides the following technical scheme:
a power distribution network overvoltage acquisition method based on Beidou time service and edge calculation comprises the following steps:
s1: the system collects the overvoltage data of the power grid in real time and analyzes the overvoltage type stage in situ through edge calculation;
s2: performing a large-scale overvoltage synchronous acquisition stage by a Beidou time service technology;
s3: performing overvoltage type analysis;
s4: and warning and pushing, and uploading large-scale overvoltage data.
Optionally, the system comprises a solar panel, a solar controller and a load module which are connected in sequence; the solar controller is connected with a storage battery pack;
the load module comprises a Beidou satellite receiving module, a temperature and humidity acquisition module, a power failure protection module, a self-defense module, a serial port debugging module, a LoRa communication module, a power supply module and an STM32 control module;
the STM32 control module is respectively connected with the Beidou satellite receiving module, the temperature and humidity acquisition module, the power failure protection module, the self-defense module, the serial port debugging module, the LoRa communication module and the power supply module;
during Beidou time service, electric power is supplied to the system, and three working states of initial charging, equalizing charging and floating charging are set; when the solar power supply system is used for the first time, the solar power supply system enters an initial charging state; when the system works normally, an equalizing charge scheme is used; after the charging is finished, carrying out floating charging; managing the SOC of the storage battery pack in real time, and entering a floating charge state after charging is finished when the Soc is greater than 0.9; when the charging voltage is 0.9Soc0.2, the storage battery pack is normally charged and enters an equalizing charging state; when the Soc is less than 0.2, the storage battery enters an electricity shortage state, the load is disconnected at the moment, and the load is put into the storage battery after the storage battery recovers the normal electric quantity;
the Beidou satellite receiving module is used for receiving the time service signal; the temperature and humidity module collects current temperature and humidity data and maintains the working environment of the system to be stable; the power supply module provides 12V, 5V and 3.3V voltages to drive each circuit to work normally;
the power failure protection module is used for storing data before the system is shut down, so that the processor cannot lose the data due to power failure;
the self-defense module is used for maintaining time, and when the system does not receive satellite signals, the system can still keep normal work;
the LoRa communication module is used for information transmission among overvoltage acquisition equipment, sending and receiving synchronous acquisition instructions and uploading data.
Optionally, the voltage synchronous acquisition stage is realized by an LoRa technology; the system adopts a star networking mode.
Optionally, in the edge calculation, the server receives overvoltage data of the acquisition device, compares the overvoltage data with an existing overvoltage model of the database, judges an overvoltage signal acquired by the edge acquisition device, makes a proper processing scheme, and updates and learns the existing database model;
when overvoltage data appear, the data of all acquisition points near the comprehensive accident point are summarized into a collection list, so that the dispatch personnel are helped to arrange an emergency repair scheme.
The invention has the beneficial effects that: the existing power distribution network overvoltage scheme is improved, large-area and high-quality overvoltage acquisition of a distribution network can be met, and a more efficient and faster overvoltage auxiliary and auxiliary decision model is established.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
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For the purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a functional block diagram of the system of the present invention;
FIG. 3 is a connection diagram of a load circuit configuration;
FIG. 4 is a diagram of a data acquisition and analysis architecture for an edge device;
FIG. 5 is a flow chart of data analysis;
FIG. 6 is a terminal work flow diagram;
fig. 7 is a schematic diagram of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention in a schematic way, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in the drawings in which there is no intention to limit the invention thereto; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by terms such as "upper", "lower", "left", "right", "front", "rear", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not an indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes, and are not to be construed as limiting the present invention, and the specific meaning of the terms may be understood by those skilled in the art according to specific situations.
As shown in fig. 1, the present invention includes the following parts:
collecting overvoltage data of the power grid in real time, and analyzing overvoltage types in situ through edge calculation;
performing a large-scale overvoltage synchronous acquisition stage by a Beidou time service technology;
performing overvoltage type analysis;
and warning and pushing, and uploading large-scale overvoltage data.
1. Overvoltage synchronous acquisition mode based on Beidou time service
(1) Big dipper time service
Beidou applications have achieved floor development in a number of fields of electrical power systems. The method is characterized in that time synchronization application is firstly carried out, a basic service of the Beidou satellite navigation system is a time service system, the precision reaches a nanosecond level, the response is rapid enough, and the time service terminal also has bidirectional time service capability, so that data in a long-term running state can be sent to a monitoring management system, and detection can be realized while normal running of equipment is guaranteed.
Considering that the overvoltage collecting device is usually located in a well-lighted and open place, the system adopts a solar storage battery as a power supply and an energy supply structure thereof, as shown in fig. 2.
The operation of the system needs stable power supply, so the output of the energy supply module needs to be reasonably balanced, and three working states of initial charging, equalizing charging and floating charging are set. When the solar power supply system is used for the first time, the solar power supply system enters an initial charging state; when the system works normally, an equalizing charge scheme is used; and when the charging is finished, carrying out floating charging. Managing the state of charge (SOC) of the storage battery pack in real time, and entering a floating charge state after charging is finished when Soc is greater than 0.9; when the charging voltage is 0.9Soc0.2, the storage battery pack is normally charged and enters an equalizing charging state; when the Soc is less than 0.2, the storage battery enters an electricity shortage state, the load is disconnected at the moment, and the load is put into the storage battery after the storage battery recovers the normal electric quantity.
The load module mainly includes big dipper signal reception module, humiture collection module, power fail safeguard module, serial ports debugging module, STM32 control module etc. when defending oneself. The connection relationship is shown in fig. 3.
The Beidou satellite receiving module is mainly used for receiving a time service signal; the temperature and humidity module mainly collects current temperature and humidity data and maintains the working environment of the system to be stable; the power supply module provides 12V, 5V and 3.3V voltages to drive each circuit to work normally; the power failure protection module is mainly used for storing data before the system is shut down, so that the processor cannot lose the data due to power failure; the self-defense module is mainly used for maintaining time, and can still keep the system to work normally when the system does not receive satellite signals; the LoRa communication module is mainly used for information transmission among overvoltage acquisition equipment, sending and receiving synchronous acquisition instructions, uploading data and the like.
(2) Synchronous acquisition of overvoltage
And synchronous overvoltage acquisition is mainly realized by the LoRa technology. The LoRa technology has the main characteristics of low power consumption, low cost, flexible networking, high receiving sensitivity and strong anti-interference capability, and is very suitable for long-distance and large-quantity connection and other Internet of things scenes.
Currently, the LoRa networking mode is mainly divided into a star structure and a mesh structure; in consideration of the characteristics of large quantity, large workload and inconvenient inspection when overvoltage is collected on a large scale, the system adopts a star networking mode.
When large-scale overvoltage occurs to the power system, the acquisition system has high requirements on real-time monitoring, and the problems of data real-time monitoring, wireless transmission and the like can be solved by adopting the LoRa technology. Meanwhile, information exchange between the terminal of the Internet of things and the network is completed by combining communication systems such as a 4G/5G network and a power data network.
2. Overvoltage processing strategy based on edge calculation
(1) Edge device data acquisition and analysis module design
The edge calculation is a novel calculation mode for executing calculation at the network edge, and aims to realize more efficient intelligence at the network edge side, relieve the pressure of central calculation and provide a more direct data processing scheme.
At present, most of overvoltage acquisition technologies acquire and upload data to related terminals in real time through an acquisition device, and large-area centralized acquisition and real-time data processing cannot be achieved. The system designs a large-scale and real-time processing overvoltage acquisition scheme based on edge calculation, and a structural block diagram of the system is shown in fig. 4.
The data acquisition of the edge equipment mainly undertakes the functions of overvoltage acquisition, analysis and wireless transmission. The acquisition module realizes the acquisition and storage of overvoltage through a CPLD control circuit, A/D conversion and the like; the data analysis module is the core of the overvoltage processing strategy based on edge calculation, and the module collects data, performs filtering and analysis, extracts voltage characteristic quantities, preliminarily determines whether the voltage state, the overvoltage and what type of overvoltage are generated, and the like, and has a data analysis flow as shown in fig. 5.
The data analysis module extracts overvoltage characteristic quantity on the basis of HHT conversion, determines the type of the current overvoltage through comparison with various overvoltage characteristic data, and uploads the processed data through the wireless communication module, so that the pressure of the central server is relieved. When overvoltage is generated, the wireless communication module can also send a centralized acquisition instruction to other acquisition modules, so that high-scale acquisition of overvoltage data is realized.
(2) Intelligent analysis and aid decision making
The server receives the overvoltage data of the acquisition equipment, compares the overvoltage data with the existing overvoltage model of the database, further judges the overvoltage signal acquired by the edge acquisition equipment, formulates a proper processing scheme, and updates and learns the existing database model. The working flow is shown in fig. 6.
When more serious overvoltage data occurs, the data of all acquisition points near the comprehensive accident point are summarized into a collection list, so that the dispatch personnel can be helped to effectively arrange an emergency repair scheme, and the working efficiency is effectively improved. The power distribution network overvoltage collecting and merging single scheme is formed according to corresponding rules researched and judged according to overvoltage types and topology of power supply paths of the power distribution network, and the power distribution network overvoltage collecting and merging single scheme can automatically merge and collect overvoltage information, so that the overvoltage information can be timely and effectively reflected. According to the requirements of workers, the nodes in different states are analyzed and summarized, voltage waveforms are recorded, the information is analyzed in the system, and specific occurrence time, waveform change conditions and the like are centralized. And alarms are made when necessary.
As shown in fig. 7, according to the power distribution network overvoltage acquisition method based on the Beidou time service and the edge calculation, time information is synchronized through the Beidou time service, and then the method is based on the LoRa technology and the edge calculation.
(1) Sending a large-scale synchronous acquisition instruction to acquire large-scale and high-quality overvoltage data;
(2) optimizing and analyzing the data, and collecting and ordering the overvoltage type, the accident grade and the processing scheme according to the uploaded information;
(3) overvoltage types and other important overvoltage information are used as input, and analysis is carried out through an auxiliary decision-making model constructed through machine learning. And finally outputting an auxiliary decision scheme.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.

Claims (4)

1. The power distribution network overvoltage acquisition method based on Beidou time service and edge calculation is characterized by comprising the following steps: the method comprises the following steps:
s1: the system collects the overvoltage data of the power grid in real time and analyzes the overvoltage type stage in situ through edge calculation;
s2: performing a large-scale overvoltage synchronous acquisition stage by a Beidou time service technology;
s3: performing overvoltage type analysis;
s4: and warning and pushing, and uploading large-scale overvoltage data.
2. The power distribution network overvoltage acquisition method based on Beidou time service and edge calculation is characterized by comprising the following steps of: the system comprises a solar cell panel, a solar controller and a load module which are connected in sequence; the solar controller is connected with a storage battery pack;
the load module comprises a Beidou satellite receiving module, a temperature and humidity acquisition module, a power failure protection module, a self-defense module, a serial port debugging module, a LoRa communication module, a power supply module and an STM32 control module;
the STM32 control module is respectively connected with the Beidou satellite receiving module, the temperature and humidity acquisition module, the power failure protection module, the self-defense module, the serial port debugging module, the LoRa communication module and the power supply module;
during Beidou time service, electric power is supplied to the system, and three working states of initial charging, equalizing charging and floating charging are set; when the solar power supply system is used for the first time, the solar power supply system enters an initial charging state; when the system works normally, an equalizing charge scheme is used; after the charging is finished, carrying out floating charging; managing the SOC of the storage battery pack in real time, and entering a floating charge state after charging is finished when the Soc is greater than 0.9; when the charging voltage is 0.9Soc0.2, the storage battery pack is normally charged and enters an equalizing charging state; when the Soc is less than 0.2, the storage battery enters an electricity shortage state, the load is disconnected at the moment, and the load is put into the storage battery after the storage battery recovers the normal electric quantity;
the Beidou satellite receiving module is used for receiving the time service signal; the temperature and humidity module collects current temperature and humidity data and maintains the working environment of the system to be stable; the power supply module provides 12V, 5V and 3.3V voltages to drive each circuit to work normally;
the power failure protection module is used for storing data before the system is shut down, so that the processor cannot lose the data due to power failure;
the self-defense module is used for maintaining time, and when the system does not receive satellite signals, the system can still keep normal work;
the LoRa communication module is used for information transmission among overvoltage acquisition equipment, sending and receiving synchronous acquisition instructions and uploading data.
3. The power distribution network overvoltage acquisition method based on Beidou time service and edge calculation is characterized in that: the voltage synchronous acquisition stage is realized by an LoRa technology; the system adopts a star networking mode.
4. The power distribution network overvoltage acquisition method based on Beidou time service and edge calculation is characterized by comprising the following steps of: in the edge calculation, the server receives overvoltage data of the acquisition equipment, compares the overvoltage data with the existing overvoltage model of the database, judges overvoltage signals acquired by the edge acquisition equipment, formulates a proper processing scheme and updates and learns the existing database model;
when overvoltage data appear, the data of all acquisition points near the comprehensive accident point are summarized into a collection list, so that the dispatch personnel are helped to arrange an emergency repair scheme.
CN202111256687.1A 2021-10-27 2021-10-27 Power distribution network overvoltage acquisition method based on Beidou time service and edge calculation Pending CN113985205A (en)

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