CN115224791A - Method for monitoring user fault and power failure of low-voltage distribution network - Google Patents

Method for monitoring user fault and power failure of low-voltage distribution network Download PDF

Info

Publication number
CN115224791A
CN115224791A CN202210579056.1A CN202210579056A CN115224791A CN 115224791 A CN115224791 A CN 115224791A CN 202210579056 A CN202210579056 A CN 202210579056A CN 115224791 A CN115224791 A CN 115224791A
Authority
CN
China
Prior art keywords
electric energy
user
low
time
phase
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210579056.1A
Other languages
Chinese (zh)
Inventor
韩昱
吕晨旭
王建平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xinzhou Power Supply Co of State Grid Shanxi Electric Power Co Ltd
Original Assignee
Xinzhou Power Supply Co of State Grid Shanxi Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xinzhou Power Supply Co of State Grid Shanxi Electric Power Co Ltd filed Critical Xinzhou Power Supply Co of State Grid Shanxi Electric Power Co Ltd
Priority to CN202210579056.1A priority Critical patent/CN115224791A/en
Publication of CN115224791A publication Critical patent/CN115224791A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141—Discrete Fourier transforms
    • G06F17/142—Fast Fourier transforms, e.g. using a Cooley-Tukey type algorithm
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Power Engineering (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Algebra (AREA)
  • Discrete Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a method for monitoring user fault power failure of a low-voltage distribution network. Firstly, based on the acquisition function of the three-phase intelligent electric energy meter, including the real-time acquisition of three-phase voltage, current and power, the real-time monitoring of the power utilization information of a user is realized; secondly, performing electric energy analysis by using a fast FFT algorithm to obtain the power utilization running state of the monitored user, realizing the fast discrimination of the voltage loss, current loss and phase failure accidents of the user, and facilitating the fast operation and maintenance of maintenance personnel; finally, the monitoring method provided by the invention has practical significance for diagnosing whether the existing low-voltage distribution network user has power utilization faults or not. The method has important practical significance for analyzing and monitoring the electric energy data of the low-voltage distribution network users.

Description

User fault power failure monitoring method for low-voltage distribution network
Technical Field
The invention belongs to the field of power systems, and relates to the field of intelligent analysis and monitoring of electric energy data of low-voltage distribution network users and reliability and safety of power supply of a low-voltage distribution network.
Background
With the continuous investment of the national power grid on the low-voltage line, the power supply reliability and the safety of the low-voltage line are higher and higher, and the line and equipment faults on the user side become main factors influencing the power supply quality of the low-voltage line.
Meanwhile, the national power grid has related requirements and assessment indexes on the power supply quality of low-voltage users. In the discussion with the power companies in various regions, after power failure occurs to users in a platform area, because service personnel of a power supply company do not know the power failure of the users and the users cannot deal with the power failure condition, the power failure users only dial 95598 to seek help, the service level of the power service personnel in the eyes of people is inevitably reduced, the power companies are relatively passive, and the pressure born by the power companies is very large.
The reason is that the power supply company cannot know the power utilization condition of the user in real time, and particularly what kind of technical fault occurs to the power grid of the user, so that the power supply company cannot timely master the problems of the power grid of the user and influence accurate solution.
Disclosure of Invention
In order to solve the problems in the prior art, the invention aims to provide a user fault power failure monitoring method for a low-voltage distribution network. And carrying out fast FFT algorithm analysis on the high-speed sampled electric quantity to obtain the real-time power utilization state of the user. Therefore, the quick judgment of the fault accidents of the voltage loss, the current loss or the phase failure of the user is realized, and the quick operation and maintenance of maintenance personnel are facilitated. The method has practical significance for online diagnosis of whether the power utilization fault occurs to the existing low-voltage distribution network user.
In order to achieve the purpose, the invention adopts the technical scheme that:
1. a method for monitoring user fault and power failure of a low-voltage distribution network,
the method comprises the following steps:
the method comprises the following steps: the method comprises the steps that based on the acquisition function of the three-phase intelligent electric energy meter, real-time acquisition of three-phase voltage, current and power is realized, and real-time monitoring of user electricity utilization information is realized;
step two: suppose the frequency of the sampled electrical quantity signal x is f 0 Amplitude of A, initial phase of theta, and high-speed sampling frequency of f s And n is a sampling sequence, and the digital-to-analog conversion after sampling is as follows:
Figure BDA0003663135780000021
if the time domain form of the applied window function is w (n), then its continuous spectrum is w (2 π f), f 0 Is the frequency point specific to the sampled signal (voltage/current) and f, which is given by the following equation, represents the frequency variation in the frequency domain, the windowed signal x is continuously fourier transformed:
Figure BDA0003663135780000022
neglecting negative frequency point-f 0 Side lobe influence of treatment frequency peak, at positive frequency point f 0 The nearby continuous spectrum function can be expressed as:
Figure BDA0003663135780000023
then discrete sampling is carried out on the discrete sample to obtain the expression of the discrete Fourier transform of the digital signal:
Figure BDA0003663135780000024
wherein the discrete frequency interval is Δ f = f s N, N is the data truncation length;
peak frequency f 0 ＝k 0 *△f，k 0 Is the peak point; peak frequency f 0 It is difficult to locate exactly at the frequency point of the discrete spectral line, i.e. k 0 Are generally not integers; let the spectral lines on the left and right sides of the peak point be kth respectively 1 And k 2 The two spectral lines are the spectral lines with the maximum amplitude and the next maximum amplitude near the peak point; finding these two lines in a discrete spectrum determines k 1 And k 2 Firstly obtaining a spectrum analysis chart of a sampled signal x through the expression after Fourier transform, and obtaining a peak point k of the signal according to the spectrum analysis chart 0 As can be seen from the above definition, k is found separately 0 Sum of near maximum amplitudeThe maximum two spectral lines are k 1 And k 2 ；
Step three: by constructing k 0 And k is 1 、k 2 The functional relationship between them yields the characteristic quantity F of the sampled signal x, namely:
Figure BDA0003663135780000025
f =0 represents a current loss fault, F =1 represents a voltage loss fault, and F =2 represents a phase failure fault, so that the power failure fault type of the low-voltage user can be quickly judged according to the value of F, and the on-line monitoring of the power failure of the low-voltage distribution network user is realized.
The sampled electrical quantity signal may be a voltage or current signal. The invention realizes the real-time monitoring of each electric quantity of a low-voltage user based on the functions of electric energy metering, demand measurement, real-time measurement and the like of the three-phase intelligent electric energy meter. The electric energy metering function has the functions of forward active electric energy, reverse active electric energy and four-quadrant reactive electric energy metering, and combined active electric energy and combined reactive electric energy can be set according to the functions; the demand measuring function measures the bidirectional maximum demand, the time-period maximum demand and the date and time of occurrence of the two-way maximum demand and the time-period maximum demand, and stores data with time scales; the real-time measurement function is mainly used for measuring, recording and displaying the total and each split-phase voltage, current, power factor and other operation parameters of the current electric energy meter.
The method is based on real-time measurement of three-phase voltage, current, active power, reactive power, power factor and the like of a low-voltage user by a three-phase intelligent electric energy meter, electric energy analysis is carried out by high-speed sampling of all electric quantities and an FFT algorithm, fault and power failure information of the low-voltage user is rapidly judged, and fault and power failure on-line monitoring of the low-voltage power distribution network user is realized.
Furthermore, the three-phase intelligent electric energy-based solar energy meter has functions of forward active electric energy, reverse active electric energy and four-quadrant reactive electric energy metering, and accordingly combined active electric energy and combined reactive electric energy can be set. Besides the respective recording and displaying of the four-quadrant reactive electric energy, the calculation, recording and displaying of the combined reactive 1 and the combined reactive 2 can be realized through software programming. And the time-sharing measurement of 12 rates such as tip, peak, flat and valley is supported. And supports split-phase metering of active electric energy. The electric quantity data of the last 12 settlement days are stored, and the settlement time can be set to be the integral time of any day in each month.
Furthermore, the three-phase intelligent electric energy can measure the bidirectional maximum demand, the time-period maximum demand and the occurrence date and time thereof, and store data with time scales. And manual (or meter reading device) zero clearing of the maximum demand data is supported. The maximum demand measurement adopts a slip mode, and a demand period and slip time can be set. Default values for leaving factory: the demand period is 15min, and the slip time is 1min. The maximum demand data of the last 12 settlement days are stored.
Furthermore, the three-phase intelligent electric energy meter measures, records and displays the total and each split-phase voltage, current, power factor and other operation parameters of the current electric energy meter. The method provides an out-of-limit monitoring function, can set limit values for parameters such as line (phase) voltage, current, power factor and the like and monitor the parameters, and records relevant data in an event mode when certain parameter exceeds or is lower than the set limit value.
The method provided by the invention samples each electric quantity at a high speed, and fast judges the power failure information of the user fault by using a fast FFT algorithm.
The method for monitoring the user fault and power failure of the low-voltage distribution network is convenient for power grid operation and maintenance personnel to master the user power failure fault information in time, solves the two-way contradiction that the service personnel of a power supply company do not know the power failure of the user and the user can not handle the power failure condition, and improves the power supply reliability and safety of the low-voltage distribution network. Meanwhile, the service level of electric power service personnel in the eyes of people is improved, and an electric power company is changed from passive to active.
Compared with the prior art, the invention has the following advantages:
the method has the characteristics of quick response, easiness in implementation, strong practicability and the like, can monitor the fault power failure condition of the low-voltage distribution network user in real time, is convenient for operation and maintenance personnel to master and remove the fault in time, thereby carrying out the next operation and improving the power supply reliability and safety of the low-voltage distribution network.
Drawings
Fig. 1 is a working principle diagram of a three-phase intelligent electric energy meter of a low-voltage distribution network user fault power failure monitoring method.
Fig. 2 is a main technical parameter diagram of a three-phase intelligent electric energy meter of a low-voltage distribution network user fault power failure monitoring method.
Fig. 3 is a three-phase intelligent electric energy meter diagram of a low-voltage distribution network user fault power failure monitoring method.
Fig. 4 is a system block diagram of a low-voltage distribution network user fault power failure monitoring method.
Fig. 5 is a flow chart of the method of the present invention.
Reference numerals in fig. 3: 1-upper cover seal screw, 2-liquid crystal area, 3-up-down turning button, 4-indicator light and infrared communication port, 5-transparent turning cover, 6-turning cover seal screw and 7-terminal cover seal screw.
Detailed Description
The present invention will be described in further detail below with reference to the accompanying drawings and a workflow diagram. The method for monitoring the power failure of the user of the low-voltage distribution network facilitates the operation and maintenance personnel of the power grid to master the power failure information of the user in time, solves the two-way contradiction that the service personnel of a power supply company do not know the power failure of the user and the user can not deal with the power failure condition, and improves the power supply reliability and safety of the low-voltage distribution network.
Based on the functions of electric energy metering, demand measurement, real-time measurement and the like of the three-phase intelligent electric energy meter, the real-time monitoring of each electric quantity of a low-voltage user is realized. The electric energy metering function has the functions of forward active electric energy, reverse active electric energy and four-quadrant reactive electric energy metering, and combined active electric energy and combined reactive electric energy can be set according to the functions; the demand measuring function measures the bidirectional maximum demand, the time-period maximum demand and the date and time of occurrence of the two-way maximum demand and the time-period maximum demand, and stores data with time scales; the real-time measurement function is mainly used for measuring, recording and displaying the total and each split-phase voltage, current, power factor and other operation parameters of the current electric energy meter.
Based on real-time measurement of three-phase voltage, current, active power, reactive power, power factors and the like of a low-voltage user by a three-phase intelligent electric energy meter, electric energy analysis is carried out by applying an FFT algorithm through high-speed sampling of all electric quantities, fault power failure information of the low-voltage user is judged quickly, corresponding information is sent to a power company background through a communication module, and online monitoring of fault power failure of the low-voltage power distribution network user is achieved.
The method for monitoring the fault power failure of the low-voltage distribution network user comprises the following steps:
the method comprises the following steps: the method comprises the steps that based on the acquisition function of the three-phase intelligent electric energy meter, real-time acquisition of three-phase voltage, current and power is realized, and real-time monitoring of user electricity utilization information is realized;
step two: suppose the frequency of the sampled electrical quantity signal x is f 0 Amplitude of A, initial phase of theta, and high-speed sampling frequency of f s N is a sampling sequence, and the digital-to-analog conversion after sampling is as follows:
Figure BDA0003663135780000051
if the time domain form of the windowed function is w (n) and its continuous spectrum is w (2 π f), the windowed signal x is continuously Fourier transformed: f. of 0 Is a specific frequency point of the sampled signal (voltage/current), and f of the following formula represents a frequency variation in the frequency domain;
Figure BDA0003663135780000052
neglecting negative frequency point-f 0 Side lobe influence of treatment frequency peak, at positive frequency point f 0 The nearby continuous spectrum function can be expressed as:
Figure BDA0003663135780000053
then, discrete sampling is carried out on the discrete samples, and the expression of the discrete Fourier transform of the discrete samples is obtained as follows:
Figure BDA0003663135780000054
wherein the discrete frequency interval is Δ f = f s N, N is the data truncation length;
peak frequency f 0 ＝k 0 *△f，k 0 Is the peak point; peak frequency f 0 It is difficult to locate exactly at the frequency point of the discrete spectral line, i.e. k 0 And are generally not integers. Let the spectral lines on the left and right sides of the peak point be kth respectively 1 And k 2 The two spectral lines are the maximum and the next maximum near the peak, then k is present 1 ≤k 0 ≤k 2 ＝k 1 +1; finding these two spectral lines in a discrete spectrum can determine k 1 And k 2 Firstly obtaining a spectrum analysis chart of a sampled signal x through the expression after Fourier transform, and obtaining a peak point k of the signal according to the spectrum analysis chart 0 As can be seen from the above definition, k is found separately 0 Two spectral lines with near maximum and second maximum amplitude values are k 1 And k 2 ；
Step three: by constructing k 0 And k 1 、k 2 The functional relationship between them yields the characteristic quantity F of the sampled signal x, namely:
Figure BDA0003663135780000061
f =0 represents a current loss fault, F =1 represents a voltage loss fault, and F =2 represents a phase failure fault, so that the power failure fault type of the low-voltage user can be quickly judged according to the value of F, and the on-line monitoring of the power failure of the low-voltage distribution network user is realized.
The monitoring system is specially designed for the fault power failure monitoring function of the low-voltage distribution network users, has the characteristics of quick response, easiness in implementation, strong practicability and the like, can monitor the fault power failure condition of the low-voltage distribution network users in real time, and is convenient for operation maintenance personnel to grasp and remove faults in time, so that the next operation is carried out, and the power supply reliability and safety of the low-voltage distribution network are improved.

Claims (5)

1. A user fault power failure monitoring method for a low-voltage distribution network is characterized by comprising the following steps: the method comprises the following steps: the method comprises the steps that based on the acquisition function of the three-phase intelligent electric energy meter, real-time acquisition of three-phase voltage, current and power is realized, and real-time monitoring of user electricity utilization information is realized;
step two: suppose the frequency of the sampled electrical quantity signal x is f 0 Amplitude of A, initial phase of theta, and high-speed sampling frequency of f s N is a sampling sequence, and the digital-to-analog conversion after sampling is as follows:
Figure FDA0003663135770000011
if the time domain form of the windowed function is w (n) and its continuous spectrum is w (2 π f), the windowed signal x is continuously Fourier transformed:
Figure FDA0003663135770000012
neglecting negative frequency point-f 0 Side lobe influence of processing frequency peak, at positive frequency point f 0 The nearby continuous spectrum function can be expressed as:
Figure FDA0003663135770000013
then, discrete sampling is carried out on the discrete samples, and the expression of the discrete Fourier transform is obtained as follows:
Figure FDA0003663135770000014
wherein the discrete frequency interval is Δ f = f s N, N is the data truncation length;
peak frequency f 0 ＝k 0 *△f，k 0 Is the peak point; let the spectral lines on the left and right sides of the peak point be kth respectively 1 And k 2 Lines of peaks of near-peak amplitudeMaximum and sub-maximum spectral lines; finding these two spectral lines in a discrete spectrum can determine k 1 And k 2 That is, the expression after the fourier transform is used to first obtain the spectrum analysis chart of the sampled signal x, and the peak point k of the signal is obtained from the spectrum analysis chart 0 As can be seen from the above definition, k is found separately 0 The two spectral lines with the maximum and the next largest near amplitudes are k 1 And k 2 ；
Step three: by constructing k 0 And k is 1 、k 2 The functional relationship between them yields the characteristic quantity F of the sampled signal x, namely:
Figure FDA0003663135770000021
f =0 represents a current loss fault, F =1 represents a voltage loss fault, and F =2 represents an open-phase fault, so that the power failure fault type of the low-voltage user can be quickly judged according to the value of F, and the fault and power failure online monitoring of the low-voltage distribution network user is realized.
2. The method for monitoring the user fault power failure of the low-voltage distribution network as claimed in claim 1, wherein the three-phase intelligent electric energy meter integrates metering, displaying and communicating functions, can accurately meter three-phase forward and reverse active electric energy, four-quadrant reactive electric energy and demand in a time-sharing manner, and can set combined active electric energy and combined reactive electric energy according to the three-phase forward and reverse active electric energy and the four-quadrant reactive electric energy; the four-quadrant reactive power can be respectively recorded and displayed, and the calculation, recording and display of the combined reactive power 1 and the combined reactive power 2 can be realized through software programming; the time-sharing measurement of tip, peak, flat and valley rates is supported; supporting split-phase measurement of the active electric energy; the electric quantity data of the last 12 settlement days are stored, and the settlement time can be set to the integral time of any day in each month.
3. The method for monitoring the user fault and power failure of the low-voltage distribution network according to claim 1, wherein three-phase intelligent electric energy can measure bidirectional maximum demand, time-period maximum demand and the occurrence date and time thereof, and store data with time scales; the maximum demand data is supported to be manually reset or the meter reading device is reset; the maximum demand measurement adopts a slip mode, and a demand period and slip time can be set; default values for leaving factory: the demand period is 15min, and the slip time is 1min; the maximum demand data of the last 12 settlement days are stored.
4. The method for monitoring the user fault and power failure of the low-voltage distribution network according to claim 1, wherein the three-phase intelligent electric energy meter measures, records and displays the total and each split-phase voltage, current, power and power factor of the current electric energy meter; the monitoring method provides an out-of-limit monitoring function, can set limit values for parameters such as line/phase voltage, current, power factor and the like and monitor the parameters, and records relevant data in an event mode when a certain parameter exceeds or is lower than the set limit value.
5. The method as claimed in claim 1, wherein the power consumption of the low voltage distribution network is sampled at a high speed, and the power consumption information of the user is determined quickly by applying a fast FFT algorithm.
CN202210579056.1A 2022-05-26 2022-05-26 Method for monitoring user fault and power failure of low-voltage distribution network Pending CN115224791A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210579056.1A CN115224791A (en) 2022-05-26 2022-05-26 Method for monitoring user fault and power failure of low-voltage distribution network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210579056.1A CN115224791A (en) 2022-05-26 2022-05-26 Method for monitoring user fault and power failure of low-voltage distribution network

Publications (1)

Publication Number Publication Date
CN115224791A true CN115224791A (en) 2022-10-21

Family

ID=83608034

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210579056.1A Pending CN115224791A (en) 2022-05-26 2022-05-26 Method for monitoring user fault and power failure of low-voltage distribution network

Country Status (1)

Country Link
CN (1) CN115224791A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117706279A (en) * 2024-02-05 2024-03-15 青岛鼎信通讯科技有限公司 Phase failure fault diagnosis method for low-voltage distribution system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117706279A (en) * 2024-02-05 2024-03-15 青岛鼎信通讯科技有限公司 Phase failure fault diagnosis method for low-voltage distribution system
CN117706279B (en) * 2024-02-05 2024-05-24 青岛鼎信通讯科技有限公司 Phase failure fault diagnosis method for low-voltage distribution system

Similar Documents

Publication Publication Date Title
CN106093627B (en) Digital transformer substation power quality event recording monitoring device and monitoring method
CN107680368A (en) A kind of metering device on-line monitoring and intelligent diagnosing method based on gathered data
CN103995181B (en) Method for analyzing electric energy quality harmonic waves of digital substation
CN107064630B (en) A kind of power system frequency measurement method and device
CN104076321A (en) On-line monitoring and evaluating system and method for digital electric energy meter
CN104931775A (en) Network multi-functional three-phase electric energy meter possessing electric energy quality analysis function
CN104090177A (en) Power network operation data intelligent test analyzer
CN115224791A (en) Method for monitoring user fault and power failure of low-voltage distribution network
Won et al. Development of power quality monitoring system with central processing scheme
CN103105529A (en) Harmonic wave electric energy measuring system based on parameter analysis and control method thereof
CN103344937B (en) Intelligent electric energy meter consumption detection equipment and detection method
CN109342808A (en) Generator intelligent power pick-up device
CN106483397A (en) A kind of electric energy quality detection device of high accuracy high bandwidth and measuring method
CN201796082U (en) Intelligent device for measuring current, voltage and power
CN209446667U (en) A kind of Analysis of energy metering instrument of count by time sharing
CN205608103U (en) Portable electric energy quality monitoring appearance of full touch screen
CN101398452A (en) Computation method of dynamic electric energy index of quality based on 100kHz frequency
CN111638401A (en) Capacitor online monitoring system and method
CN107064633B (en) Urban track traffic Load harmonic current superposition coefficient determines method
CN203275517U (en) Multifunctional three-phase harmonic wave electric energy meter
CN105223452B (en) Realize electric energy quality monitoring and the electric energy quality monitor and method of pollution sources positioning
CN103389431A (en) Intelligent on-load comprehensive test device for transformer substation
CN207908593U (en) A kind of power quality detection system
CN106018898B (en) A kind of massage apparatus testing stand
Chen et al. A multi-channel monitoring system for system-wide power quality measurements

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication