CN107621593A - A kind of low-voltage method for early warning and device based on time series - Google Patents

A kind of low-voltage method for early warning and device based on time series Download PDF

Info

Publication number
CN107621593A
CN107621593A CN201710963959.9A CN201710963959A CN107621593A CN 107621593 A CN107621593 A CN 107621593A CN 201710963959 A CN201710963959 A CN 201710963959A CN 107621593 A CN107621593 A CN 107621593A
Authority
CN
China
Prior art keywords
voltage
voltage monitoring
time series
early warning
low
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
CN201710963959.9A
Other languages
Chinese (zh)
Inventor
郭成
周鑫
赵泽平
覃日升
段锐敏
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.)
Electric Power Research Institute of Yunnan Power System Ltd
Original Assignee
Electric Power Research Institute of Yunnan Power System 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 Electric Power Research Institute of Yunnan Power System Ltd filed Critical Electric Power Research Institute of Yunnan Power System Ltd
Priority to CN201710963959.9A priority Critical patent/CN107621593A/en
Publication of CN107621593A publication Critical patent/CN107621593A/en
Pending legal-status Critical Current

Links

Abstract

This application discloses a kind of low-voltage method for early warning based on time series and device, methods described to include:Obtain multiple voltage monitoring data at power distribution network terminal voltage monitoring point;The multiple voltage monitoring data are subjected to calculus of differences, obtain stable voltage monitoring sequence;Time series modeling is carried out to the stable voltage monitoring sequence of the voltage monitoring point, obtains time series models;Low-voltage early warning is carried out according to the time series models.Low-voltage method for early warning and device disclosed in the present application based on time series, effectively realize low-voltage early warning.

Description

A kind of low-voltage method for early warning and device based on time series
Technical field
The application is related to low-voltage early warning field, more particularly to a kind of low-voltage method for early warning and dress based on time series Put.
Background technology
Power system low-voltage risk reflection be it is phylogenetic cause system median generatrix voltage decline possibility and The extent of injury, in recent years, some the significant blackouts accidents occurred both at home and abroad, social life and economic massive losses are caused, Illustrate the necessity of construction powernet safety pre-warning system.
At present, the voltage online monitoring data of voltage monitoring point can only reflecting voltage monitoring point voltage condition, to low electricity The occurrence of pressure, can not play forewarning function, and operation maintenance personnel (or monitoring personnel) is grasped less than or grasped inaccurate, it is impossible to has The generation of effect prevention low-voltage.So voltage monitoring point online monitoring data is established in research, the low-voltage based on time series is pre- Police's law technology, truly realizing voltage monitoring point low-voltage forewarning management.
The content of the invention
This application provides a kind of low-voltage method for early warning and device based on time series, to solve the low electricity of power distribution network Press early warning problem.
In a first aspect, this application provides a kind of low-voltage method for early warning based on time series, methods described includes:
Obtain multiple voltage monitoring data at power distribution network terminal voltage monitoring point;
The multiple voltage monitoring data are subjected to calculus of differences, obtain stable voltage monitoring sequence;
Time series modeling is carried out to the stable voltage monitoring sequence of the voltage monitoring point, obtains time series mould Type;
Low-voltage early warning is carried out according to the time series models.
Second aspect, present invention also provides a kind of low-voltage prior-warning device based on time series, including:Controller, Computation chip, signal conditioning circuit, voltage data acquisition component and early warning component, wherein:
The voltage data acquisition component is electrically connected to the signal conditioning circuit, and the signal conditioning circuit is electrically connected to The computation chip, the computation chip electrically connect with the controller, and the controller electrically connects with the early warning component;
The computation chip performs the method described in first aspect.
The beneficial effect of low-voltage method for early warning and device disclosed in the present application based on time series includes:
At present, the voltage online monitoring data of voltage monitoring point can only reflecting voltage monitoring point voltage condition, to low electricity The occurrence of pressure, can not play forewarning function, and disclosed method can be according to the voltage at the voltage monitoring point collected Monitoring Data carries out time series modeling, and the voltage condition of future time instance is predicted according to time series models, so as to effectively assist Monitoring personnel grasps low voltage condition, and carries out early warning in time.
Brief description of the drawings
In order to illustrate more clearly of the technical scheme of the application, letter will be made to the required accompanying drawing used in embodiment below Singly introduce, it should be apparent that, for those of ordinary skills, without having to pay creative labor, Other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of low-voltage method for early warning schematic flow sheet based on time series that the embodiment of the present application provides;
Fig. 2 is a kind of step S300 schematic flow sheets that the embodiment of the present application provides;
Fig. 3 is the step S400 schematic flow sheets that the embodiment of the present application provides;
Fig. 4 is a kind of low-voltage prior-warning device structural representation based on time series that the embodiment of the present application provides.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment Described in embodiment do not represent and the consistent all embodiments of the present invention.On the contrary, they be only with it is such as appended The example of the consistent apparatus and method of some aspects being described in detail in claims, of the invention.
Referring to Fig. 1, a kind of low-voltage method for early warning flow signal based on time series provided for the embodiment of the present application Figure.
In the step s 100, multiple voltage monitoring data at power distribution network terminal voltage monitoring point are obtained.
Low-voltage prior-warning device based on time series is arranged on power distribution network, the electricity at real-time collection voltages monitoring point Pressure detection data.In the embodiment of the present application, exemplified by gathering a distribution 220V taiwan area terminal voltages monitoring point, ordinary circumstance Under, 5 minutes voltage monitoring data of online acquisition.
By multiple voltage monitoring data storages of collection in database, provided effectively for voltage monitoring point low-voltage early warning Information-based support, lift the accuracy rate and promptness rate of monitoring point low-voltage early warning.Alternatively, it is also possible to gather multiple voltage monitorings Voltage monitoring data at point, database file is established for each voltage monitoring point in database.
In step s 200, the multiple voltage monitoring data are subjected to calculus of differences, obtain stable voltage monitoring sequence Row.
Multiple voltage monitoring data at voltage monitoring point are obtained from database, multiple voltage monitoring data are looked into Partite transport is calculated, wherein, operational formula of checking the mark is:Δ f (t)=f (t)-f (t-1), f (t) be current time voltage monitoring data, f (t-1) it is the voltage monitoring data of last moment.After calculus of differences, a stable voltage monitoring sequence is obtained, steadily Voltage monitoring sequence refer to the time series that average, variance and Autoregressive Functions do not change over time.
In step S300, time series modeling is carried out to the stable voltage monitoring sequence of the voltage monitoring point, obtained To time series models;
In the embodiment of the present application, stable voltage monitoring sequence is obtained by calculus of differences, voltage monitoring sequence is one Individual time series, is reflected in certain time period, and voltage monitoring data put in order according to the time, therefore, can be to voltage The stable voltage monitoring sequence of monitoring point carries out time series modeling, obtains time series models.
Referring specifically to Fig. 2, a kind of step S300 schematic flow sheets provided for the embodiment of the present application.
In step S301, the smoothly voltage monitoring sequence is subjected to Modeling of Autocorrelation Function, obtains auto-correlation system Number.
In step s 302, the smoothly voltage monitoring sequence is subjected to partial autocorrelation function modeling, obtained partially from phase Relation number.
In step S303, autoregression integration moving average model is established.
In step s 304, according to the autoregression integral mean model and auto-correlation coefficient, PARCOR coefficients to institute The stable voltage detecting data for stating voltage monitoring point carry out time series modeling, obtain time series models.
Modeling of Autocorrelation Function and partial autocorrelation function modeling are carried out according to stable voltage monitoring sequence, obtain auto-correlation Coefficient and PARCOR coefficients.Moving average model and the auto-correlation coefficient and PARCOR coefficients of acquirement are integrated using autoregression Time series modeling is carried out to voltage monitoring point online monitoring data, obtains time series models.
In step S400, low-voltage early warning is carried out according to the time series models.
Time series models reflect the situation of change of different time sections voltage, therefore, when input in a model according to when Between sequence permutation voltage monitoring data after, the change of following a certain section of time voltage can be predicted according to time series models, from And early warning is carried out according to the change of following voltage.
Specific reference to Fig. 3, the step S400 schematic flow sheets provided for the embodiment of the present application.
In step S401, by the smoothly time series models described in voltage monitoring sequence inputting, predicted value is obtained.
After establishing time series models, early warning can be carried out according to time series models.By the stable voltage of acquisition Monitoring data sequent is as the prediction in input data input time series model, obtaining following certain time or some time point Value.
In step S402, if the preset value is less than default early warning value, low-voltage early warning is carried out.
The early warning value that voltage monitoring point can be set in the embodiment of the present application is 209V, also, for different voltage monitorings The settable different early warning value of point.Predicted value and early warning value are contrasted, if predicted value is less than early warning value, it is pre- to carry out low-voltage It is alert.
Seen from the above description, the low-voltage method for early warning based on time series that the embodiment of the present application provides, effectively solution The problem of certainly monitoring personnel is grasped less than or grasps inaccurate low voltage condition, prevents the generation of low-voltage, realizes voltage monitoring Point low-voltage early warning.
Referring to Fig. 4, a kind of low-voltage prior-warning device structural representation based on time series provided for the embodiment of the present application Figure, including:Controller, computation chip, signal conditioning circuit, voltage data acquisition component and early warning component, wherein:
Voltage data acquisition component is electrically connected to signal conditioning circuit, and signal conditioning circuit is electrically connected to computation chip, meter Amount chip is electrically connected with the controller, and controller electrically connects with early warning component;
The voltage monitoring data based on time series of computation chip receiving voltage data acquisition components collection, and utilize Time series models calculate predicted value, and the predicted value that controller calculates according to computation chip controls early warning component early warning.
Signal conditioning circuit is used to carry out noise reduction process to the voltage monitoring data of collection, after computation chip is according to noise reduction The method that voltage monitoring data call above-described embodiment provides, finally early warning component is controlled to carry out early warning by controller.Early warning group Part may be configured as alarm or buzzer.
In addition, the device that the embodiment of the present application provides also includes communication component, communication component is electrically connected with the controller, and Communicated with terminal.Computation chip sends the predicted value being calculated to controller, and controller is by communication component by predicted value Transmission to terminal is analyzed, stored.
In the low-voltage prior-warning device based on time series provided using the embodiment of the present application, voltage data is gathered Component is arranged at the voltage monitoring point on power network, and collection voltages Monitoring Data in real time.The embodiment of the present application provide based on The low-voltage prior-warning device module integrated level of time series is high, hardware configuration is simple, therefore small volume, can be quick in the process of use Installation, and carry it is convenient.
In addition, also sucker can be set on the low-voltage prior-warning device based on time series, screw is not needed when mounted Deng fixation kit, directly adsorb in and can be used on power distribution cabinet.
Seen from the above description, the low-voltage prior-warning device based on time series that the embodiment of the present application provides, is realized low Voltage early warning, at the same install, convenient disassembly it is quick.
It is required that those skilled in the art can be understood that the technology in the embodiment of the present invention can add by software The mode of general hardware platform realize.Based on such understanding, the technical scheme in the embodiment of the present invention substantially or Say that the part to be contributed to prior art can be embodied in the form of software product, the computer software product can be deposited Storage is in storage medium, such as ROM/RAM, magnetic disc, CD, including some instructions are causing a computer equipment (can be with Be personal computer, server, either network equipment etc.) perform some part institutes of each embodiment of the present invention or embodiment The method stated.
In this specification between each embodiment identical similar part mutually referring to.Especially for ... implement For example, because it is substantially similar to embodiment of the method, so description is fairly simple, related part is referring in embodiment of the method Explanation.
Invention described above embodiment is not intended to limit the scope of the present invention..
Those skilled in the art will readily occur to the present invention its after considering specification and putting into practice the disclosure invented here Its embodiment.The application be intended to the present invention any modification, purposes or adaptations, these modifications, purposes or Person's adaptations follow the general principle of the present invention and including undocumented common knowledges in the art of the invention Or conventional techniques.Description and embodiments are considered only as exemplary, and true scope and spirit of the invention are by following Claim is pointed out.
It should be appreciated that the invention is not limited in the precision architecture for being described above and being shown in the drawings, and And various modifications and changes can be being carried out without departing from the scope.The scope of the present invention is only limited by appended claim.

Claims (8)

1. a kind of low-voltage method for early warning based on time series, it is characterised in that methods described includes:
Obtain multiple voltage monitoring data at power distribution network terminal voltage monitoring point;
The multiple voltage monitoring data are subjected to calculus of differences, obtain stable voltage monitoring sequence;
Time series modeling is carried out to the stable voltage monitoring sequence of the voltage monitoring point, obtains time series models;
Low-voltage early warning is carried out according to the time series models.
2. according to the method for claim 1, it is characterised in that the stable voltage monitoring to the voltage monitoring point Sequence carries out time series modeling, including:
The smoothly voltage monitoring sequence is subjected to Modeling of Autocorrelation Function, obtains auto-correlation coefficient;
The smoothly voltage monitoring sequence is subjected to partial autocorrelation function modeling, obtains PARCOR coefficients;
Establish autoregression integration moving average model;
It is steady to the voltage monitoring point according to the autoregression integral mean model and auto-correlation coefficient, PARCOR coefficients Voltage detecting data carry out time series modeling, obtain time series models.
3. according to the method for claim 1, it is characterised in that low-voltage early warning is carried out according to the time series models, Including:
By the smoothly time series models described in voltage monitoring sequence inputting, predicted value is obtained;
If the predicted value is less than default early warning value, low-voltage early warning is carried out.
4. according to the method for claim 1, it is characterised in that the multiple voltage monitoring data are subjected to calculus of differences, Stable voltage monitoring sequence is obtained, including:
Calculus of differences formula is:Δ f (t)=f (t)-f (t-1);Wherein, the f (t) is the voltage monitoring data at current time, The f (t-1) is the voltage monitoring data of last moment.
5. according to the method for claim 1, it is characterised in that the smoothly voltage monitoring sequence be average, variance and The time series that Autoregressive Functions do not change over time.
A kind of 6. low-voltage prior-warning device based on time series, it is characterised in that including:Controller, computation chip, signal are adjusted Circuit, voltage data acquisition component and early warning component are managed, wherein:
The voltage data acquisition component is electrically connected to the signal conditioning circuit, and the signal conditioning circuit is electrically connected to described Computation chip, the computation chip electrically connect with the controller, and the controller electrically connects with the early warning component;
The computation chip performs the method as described in claim 1-5 is any.
7. device according to claim 6, it is characterised in that also including communication component, the communication component and the control Device electrical connection processed, the communication component communicate with terminal.
8. device according to claim 6, it is characterised in that the early warning component is arranged to alarm or buzzer.
CN201710963959.9A 2017-10-16 2017-10-16 A kind of low-voltage method for early warning and device based on time series Pending CN107621593A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710963959.9A CN107621593A (en) 2017-10-16 2017-10-16 A kind of low-voltage method for early warning and device based on time series

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710963959.9A CN107621593A (en) 2017-10-16 2017-10-16 A kind of low-voltage method for early warning and device based on time series

Publications (1)

Publication Number Publication Date
CN107621593A true CN107621593A (en) 2018-01-23

Family

ID=61092439

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710963959.9A Pending CN107621593A (en) 2017-10-16 2017-10-16 A kind of low-voltage method for early warning and device based on time series

Country Status (1)

Country Link
CN (1) CN107621593A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109449932A (en) * 2018-12-07 2019-03-08 国网辽宁省电力有限公司鞍山供电公司 It is a kind of based on voltage synchronous test low-voltage reforming mode determine method
CN111242348A (en) * 2019-12-30 2020-06-05 安徽先兆科技有限公司 Electrical safety monitoring method and system based on time sequence

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102682529A (en) * 2012-05-09 2012-09-19 重庆市电力公司电力科学研究院 Prepayment electric energy meter and information processing system
US20120311006A1 (en) * 2011-05-31 2012-12-06 Juei-Chao Chen Method for improving computation speed of cross-covariance function and autocovariance function for computer hardware
WO2012175779A1 (en) * 2011-06-21 2012-12-27 Ormazabal Corporate Technology, A.I.E. Method and device for monitoring partial discharges
CN103840555A (en) * 2014-03-19 2014-06-04 国家电网公司 Low voltage early warning method set on the basis of thresholds
CN103901305A (en) * 2014-03-31 2014-07-02 广东电网公司电力科学研究院 Online early warning method for power equipment
CN104268658A (en) * 2014-09-29 2015-01-07 招商局重庆交通科研设计院有限公司 Bridge structure safety monitoring data prediction method
CN104376383A (en) * 2014-11-27 2015-02-25 东北大学 Grid voltage monitoring and prediction system and method based on geographic information system
CN204761165U (en) * 2015-08-05 2015-11-11 国家电网公司 Monitored control system is synthesized to rural power grid operation state
CN105425030A (en) * 2015-12-25 2016-03-23 福建顺昌虹润精密仪器有限公司 Three-phase digital electric quantity transmitter

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120311006A1 (en) * 2011-05-31 2012-12-06 Juei-Chao Chen Method for improving computation speed of cross-covariance function and autocovariance function for computer hardware
WO2012175779A1 (en) * 2011-06-21 2012-12-27 Ormazabal Corporate Technology, A.I.E. Method and device for monitoring partial discharges
CN102682529A (en) * 2012-05-09 2012-09-19 重庆市电力公司电力科学研究院 Prepayment electric energy meter and information processing system
CN103840555A (en) * 2014-03-19 2014-06-04 国家电网公司 Low voltage early warning method set on the basis of thresholds
CN103901305A (en) * 2014-03-31 2014-07-02 广东电网公司电力科学研究院 Online early warning method for power equipment
CN104268658A (en) * 2014-09-29 2015-01-07 招商局重庆交通科研设计院有限公司 Bridge structure safety monitoring data prediction method
CN104376383A (en) * 2014-11-27 2015-02-25 东北大学 Grid voltage monitoring and prediction system and method based on geographic information system
CN204761165U (en) * 2015-08-05 2015-11-11 国家电网公司 Monitored control system is synthesized to rural power grid operation state
CN105425030A (en) * 2015-12-25 2016-03-23 福建顺昌虹润精密仪器有限公司 Three-phase digital electric quantity transmitter

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
胡峰 等: "基于时间序列模型的电价预测方法", 《继电器》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109449932A (en) * 2018-12-07 2019-03-08 国网辽宁省电力有限公司鞍山供电公司 It is a kind of based on voltage synchronous test low-voltage reforming mode determine method
CN111242348A (en) * 2019-12-30 2020-06-05 安徽先兆科技有限公司 Electrical safety monitoring method and system based on time sequence

Similar Documents

Publication Publication Date Title
CN104573850B (en) A kind of Power Plant Equipment state evaluating method
CN110617209B (en) Online monitoring and diagnosing method and system for pump station unit
CN111932112A (en) Industrial equipment operation data analysis system based on cloud computing
CN101835178B (en) Method for realizing remote wireless monitoring and wireless monitoring device
CN109813544B (en) A kind of rotating machinery Incipient Fault Diagnosis method and system based on on-line monitoring
CN108376299A (en) A kind of prediction technique and device of running trend of the equipment
CN113391621B (en) Health state evaluation method of electric simulation test turntable
CN105804981A (en) Remote fault monitoring and pre-warning system and method for motor train unit traction transformer oil pumps
CN107621593A (en) A kind of low-voltage method for early warning and device based on time series
CN106656669B (en) A kind of device parameter abnormality detection system and method based on threshold adaptive setting
CN112556829A (en) Equipment vibration acquisition monitoring system and method
CN109489931A (en) A kind of abnormal impact real-time detection method
CN105975737B (en) State-Inspect of High-Voltage Circuit method, the system of turning point computation model and current of electric
CN106325258B (en) Relay protection device state evaluation method based on online monitoring information
CN204759147U (en) Long -range fault diagnostic of instrument based on thing networking is calculated with cloud
CN113760661A (en) Electricity utilization safety monitoring method and device based on edge server
CN108592291A (en) A kind of method and system judging water pump of air conditioner efficiency by flow and pressure difference
CN104569814A (en) Approximate entropy-based direct-current traction motor health condition real-time analysis method
CN110083962A (en) A kind of prediction technique and forecasting system of centrifugal pump main shaft service life
CN116011850A (en) Lithium iron phosphate intelligent overall process quality supervision platform
CN115437886A (en) Fault early warning method, device and equipment based on storage and calculation integrated chip and storage
CN103398846A (en) Method and platform system for analyzing health of reducer
CN113864208B (en) Intelligent monitoring and diagnosing method for operation state of desulfurization slurry circulating pump
CN103837786A (en) State monitoring system and monitoring method of intelligent distribution network equipment
CN111721538A (en) Engine detection method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180123