CN105375628A - Power transformation direct current integration monitoring pre-warning method - Google Patents

Power transformation direct current integration monitoring pre-warning method Download PDF

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Publication number
CN105375628A
CN105375628A CN201510818962.2A CN201510818962A CN105375628A CN 105375628 A CN105375628 A CN 105375628A CN 201510818962 A CN201510818962 A CN 201510818962A CN 105375628 A CN105375628 A CN 105375628A
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China
Prior art keywords
data
direct current
power transformation
early warning
current integrated
Prior art date
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Pending
Application number
CN201510818962.2A
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Chinese (zh)
Inventor
陆志刚
雷博
吉庆红
郑永强
刘海伦
曾令龙
黄芹
黎小林
许树楷
刘丹
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.)
ZHUHAI WATT ELECTRICAL EQUIPMENT CO Ltd
CSG Electric Power Research Institute
Research Institute of Southern Power Grid Co Ltd
Original Assignee
ZHUHAI WATT ELECTRICAL EQUIPMENT CO Ltd
Research Institute of Southern Power Grid Co Ltd
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Publication date
Application filed by ZHUHAI WATT ELECTRICAL EQUIPMENT CO Ltd, Research Institute of Southern Power Grid Co Ltd filed Critical ZHUHAI WATT ELECTRICAL EQUIPMENT CO Ltd
Priority to CN201510818962.2A priority Critical patent/CN105375628A/en
Publication of CN105375628A publication Critical patent/CN105375628A/en
Pending legal-status Critical Current

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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/16Electric power substations

Abstract

The technical scheme of the invention comprises a power transformation direct current integration monitoring pre-warning method. The method comprises the steps of performing data acquisition and data storage on the data of used power station equipment, performing calling and algorithm analysis on the stored data at a certain time interval, performing fault pre-warning and processing according to the analysis result, and displaying the corresponding information to a user by using a pre-warning report. The power transformation direct current integration monitoring pre-warning method has the beneficial effects that the running safety and reliability of the system are greatly improved, and the failure rate is reduced due to the application of data incidence relation; the pre-warning indication on abnormal data is realized; fault evidence data and fault reason analysis are provided; and the user can perform system fault obviation and examination by referring to the fault reason analysis, so that the method can save time and improve efficiency.

Description

A kind of power transformation direct current integrated monitoring and early warning method
Technical field
The present invention relates to a kind of power transformation direct current integrated monitoring and early warning method, belong to electrical management field.
Background technology
This algorithm is monitor supervisor algorithm used in transforming plant DC integration power-supply system.Transforming plant DC integration power-supply system is for substation secondary device provides the station power source system of reliable and stable power of alterating and direct current.This system comprises the plurality of devices such as interchange, direct current, battery, UPS, communication power supply and electricity consumption feeds out circuit.Supervisory control system wherein needs manage the running status of system and the operation conditions of equipment and send backstage by monitor data.The quality of monitoring management algorithm is very large for the availability influence of the management of system and equipment.
The monitoring of existing transformer station integration power-supply system general just by the data upload of Real-time Collection to backstage, monitor and transient analysis process carried out to these service datas, the real-time monitoring to integration power-supply system operation conditions can be realized.But there is such defect in such analytical method:
1, because handling object is transient operation data, data do not have Memorability, and monitor and judge real time data according to user or default warning limit setting value, to crossing the border, data are reported to the police, so it is paroxysmal often to report to the police.
2, the relation existed between data often be have ignored to the process of data, thus there is very large one-sidedness in data processing.
Summary of the invention
For the shortcoming of prior art data processing, the invention provides a kind of power transformation direct current integrated monitoring and early warning method, can multianalysis be proposed to the running status of managed system and equipment and form early warning, the data message that maximum using system monitoring obtains.
Technical scheme of the present invention comprises a kind of power transformation direct current integrated monitoring and pre-alarming method, be applied to transforming plant DC integration power-supply system, it is characterized in that, the method comprises data acquisition, historical data Trend Algorithm, accidental data parser, redundant data parser, data Self-healing Algorithm, figure list processing, specifically comprises:
Data acquisition uses monitoring modular to gather the data that substation equipment produces, and usage data storehouse stores, and the data of database purchase can be called; Historical data Trend Algorithm calls the analog data stored in data and calculates, and obtains analog data tendency chart; Accidental data parser is called the state quantity data change stored in data and is analyzed, and carries out corresponding fault pre-alarming according to comparing result; Redundant data parser is called the associated data stored in data and is carried out association judgement, judges whether system exists fault according to result of determination; Data Self-healing Algorithm calls the invalid data stored in data, and associates alternate process accordingly to invalid data; Figure list processing is warned abnormal data for using warning reports.
A kind of power transformation direct current integrated monitoring and pre-alarming method, it is characterized in that, the method also comprises: data acquisition is carried out collections also store in usage data storehouse by being used monitoring modular substation equipment to be produced data, and the data of reading form of calling to database at certain hour interval are called;
A kind of power transformation direct current integrated monitoring and pre-alarming method, it is characterized in that, the method also comprises: to gather and the partial data be stored in database has relevance, relevance comprises equal, synchronous, mutual exclusion.
A kind of power transformation direct current integrated monitoring and pre-alarming method, it is characterized in that, the method also comprises: algorithm realizes with dynamic link library form the computing of data.
A kind of power transformation direct current integrated monitoring and pre-alarming method, it is characterized in that, the method also comprises: from database, read corresponding analog data according to the time interval of setting, calculating simulation amount intermediate value, then the difference of all analog datas and analog quantity intermediate value in the computing time of interval, judge the variation tendency of analog quantity according to difference, and draw analog quantity Trends Sheet.
A kind of power transformation direct current integrated monitoring and pre-alarming method, it is characterized in that, the method also comprises: for carrying out change comparative analysis to transferred state quantity data, when the system cloud gray model of supply station is normal, analyze the quantity of state drawn to remain unchanged, and the quantity of state throwing producing correspondence moves back table, when operation troubles appears in the system of supply station, analyze the quantity of state drawn can undergo mutation, and according to the fault that the sudden change situation early warning correspondence of quantity of state occurs.
A kind of power transformation direct current integrated monitoring and pre-alarming method, it is characterized in that, the method also comprises: when the data of redundant data parser analysis do not meet the relation of equal or mutual exclusion, then represent that system cloud gray model breaks down, and implement corresponding warning.
A kind of power transformation direct current integrated monitoring and pre-alarming method, it is characterized in that, the method also comprises: calculate transferred database data according to incidence relation, when calculating invalid data, then associates its identical data and carries out replacement process.
A kind of power transformation direct current integrated monitoring and pre-alarming method, it is characterized in that, the method also comprises: use warning reports to carry out supplementing and illustrating to described analog quantity Trends Sheet, and warn abnormal data, provides abnormal data corresponding to data and failure reason analysis.
A kind of power transformation direct current integrated monitoring and pre-alarming method, it is characterized in that, the method also comprises: can carry out corresponding detection according to data and failure reason analysis to system by described.
Beneficial effect of the present invention is: by the application of data correlation relation, greatly the safety in operation of elevator system and reliability, reduces failure rate.Realize carrying out early warning to abnormal data, and provide fault according to data and failure reason analysis, user can refer to the analysis of causes and carries out system troubleshooting inspection, saves time, raises the efficiency.
Accompanying drawing explanation
Figure 1 shows that the overview flow chart according to embodiment of the present invention;
Figure 2 shows that the historical data trend analysis figure according to embodiment of the present invention;
Figure 3 shows that the accidental data analysis chart according to embodiment of the present invention;
Figure 4 shows that the redundant data analysis chart according to embodiment of the present invention;
Figure 5 shows that the data self-healing figure according to embodiment of the present invention.
Embodiment
In order to make the object, technical solutions and advantages of the present invention clearly, describe the present invention below in conjunction with the drawings and specific embodiments.A kind of power transformation direct current integrated monitoring and early warning method of the present invention is applicable to monitoring management in transforming plant DC integration power-supply system.
Figure 1 shows that the overview flow chart according to embodiment of the present invention.Data acquisition uses monitoring modular to gather the data that substation equipment produces, and usage data storehouse stores, and the data of database purchase can be called; Historical data Trend Algorithm calls the analog data stored in data and calculates, and obtains analog data tendency chart; Accidental data parser is called the state quantity data change stored in data and is analyzed, and carries out corresponding fault pre-alarming according to comparing result; Redundant data parser is called the associated data stored in data and is carried out association judgement, judges whether system exists fault according to result of determination; Data Self-healing Algorithm calls the invalid data stored in data, and associates alternate process accordingly to invalid data; Figure list processing is warned abnormal data for using warning reports.
Figure 2 shows that the historical data trend analysis figure according to embodiment of the present invention.System according to the time interval of setting, reads corresponding data from database from database, generates tendency chart, can find out the variation tendency of data intuitively, and when data variation is larger, analyzes reason, prevents the fault that may occur, is convenient to safeguard.System mainly will carry out trending analysis to important analog datas such as battery voltage, charging current, monomer battery voltage, internal resistance of single cell, cell temperature, floating current, branch insulation resistance
Figure 3 shows that the accidental data analysis chart according to embodiment of the present invention.Mainly change comparative analysis is carried out to state quantity data.When system normal operation input, each quantity of state keeps normal operating condition constant, and system automatically can form quantity of state throwing and move back table.When quantity of state is undergone mutation, can change according to this fault carried out early warning and may occur.Feeder switch states as all in system, part is in input state, part is in stand-by state, when system is normally run, these switch states keep initial condition constant, if situation as shown in the figure appears on off state, quantity of state changes, early warning load equipment may break down or think misoperation thus, and judges system failure reason according to concrete quantity of state change.
Figure 4 shows that the redundant data analysis chart according to embodiment of the present invention; The data of system acquisition, have very major part to be mutually related relation, some is equal, and some is mutual exclusion, so-called redundant data that Here it is.Under system normal operating condition, these data should meet relation that is equal or mutual exclusion, if do not meet, then and illustrative system fault.As when system cloud gray model is normal, in error allowed band, close female voltage=accumulator battery voltage=220V.If display result is different, then illustrative system operation exception, can according in error allowed band, redundant data be related to that this is to judge system operation situation.
Figure 5 shows that the data self-healing figure according to embodiment of the present invention.When module communication failure, when there is no data, can replace according to equivalence (incidence relation is equal) data the data lost efficacy, realize simple data self-healing.As when wherein any one data failure is 0 for the female voltage of conjunction, accumulator battery voltage, all can replace by another data, because data meet close female this relation of voltage=accumulator battery voltage.As shown in the figure, when the female voltage inefficacy of conjunction is 0, available battery group voltage is replaced and is closed female voltage, realizes the simple self-healing of data with this.
The above, just preferred embodiment of the present invention, the present invention is not limited to above-mentioned execution mode, as long as it reaches technique effect of the present invention with identical means, all should belong to protection scope of the present invention.In protection scope of the present invention, its technical scheme and/or execution mode can have various different modifications and variations.

Claims (10)

1. a power transformation direct current integrated monitoring and pre-alarming method, be applied to transforming plant DC integration power-supply system, it is characterized in that, the method comprises data acquisition, historical data Trend Algorithm, accidental data parser, redundant data parser, data Self-healing Algorithm, figure list processing, specifically comprises:
Data acquisition uses monitoring modular to gather the data that substation equipment produces, and usage data storehouse stores, and the data of database purchase can be called;
Historical data Trend Algorithm calls the analog data stored in data and calculates, and obtains analog data tendency chart;
Accidental data parser is called the state quantity data change stored in data and is analyzed, and carries out corresponding fault pre-alarming according to comparing result;
Redundant data parser is called the associated data stored in data and is carried out association judgement, judges whether system exists fault according to result of determination;
Data Self-healing Algorithm calls the invalid data stored in data, and associates alternate process accordingly to invalid data;
Figure list processing is warned abnormal data for using warning reports.
2. a kind of power transformation direct current integrated monitoring and early warning method according to claim 1, it is characterized in that, described data acquisition also comprises:
Data acquisition is carried out collections also store in usage data storehouse by being used monitoring modular substation equipment to be produced data, and the data of reading form of calling to database at certain hour interval are called.
3. a kind of power transformation direct current integrated monitoring and early warning method according to claim 2, it is characterized in that, the method also comprises:
To gather and the partial data be stored in database has relevance, relevance comprises equal, synchronous, mutual exclusion.
4. a kind of power transformation direct current integrated monitoring and early warning method according to claim 1, it is characterized in that, the method also comprises:
Algorithm realizes with dynamic link library form the computing of data.
5. a kind of power transformation direct current integrated monitoring and early warning method according to claim 1,2, it is characterized in that, described historical data Trend Algorithm comprises:
Corresponding analog data is read according to the time interval of setting from database, calculating simulation amount intermediate value, then the difference of all analog datas and analog quantity intermediate value in the computing time of interval, judges the variation tendency of analog quantity, and draws analog quantity Trends Sheet according to difference.
6. a kind of power transformation direct current integrated monitoring and early warning method according to claim 1, it is characterized in that, described accidental data parser comprises:
For carrying out change comparative analysis to transferred state quantity data, when the system cloud gray model of supply station is normal, analyze the quantity of state drawn to remain unchanged, and table is moved back in the quantity of state throwing producing correspondence, when there is operation troubles in the system of supply station, analyze the quantity of state drawn can undergo mutation, and according to the fault that the sudden change situation early warning correspondence of quantity of state occurs.
7. a kind of power transformation direct current integrated monitoring and early warning method according to claim 1, it is characterized in that, described redundant data parser also comprises:
When the data of redundant data parser analysis do not meet the relation of equal or mutual exclusion, then represent that system cloud gray model breaks down, and implement corresponding warning.
8. a kind of power transformation direct current integrated monitoring and early warning method according to claim 1, it is characterized in that, described data Self-healing Algorithm also comprises:
According to incidence relation, transferred database data is calculated, when calculating invalid data, then associate its identical data and carry out replacement process.
9. a kind of power transformation direct current integrated monitoring and early warning method according to claim 1, it is characterized in that, described chart process comprises:
Use warning reports to carry out supplementing and illustrating to described analog quantity Trends Sheet, and abnormal data is warned, provide abnormal data corresponding to data and failure reason analysis.
10. a kind of power transformation direct current integrated monitoring and early warning method according to claim 9, it is characterized in that, the method also comprises:
Corresponding detection can be carried out according to data and failure reason analysis to system by described.
CN201510818962.2A 2015-11-20 2015-11-20 Power transformation direct current integration monitoring pre-warning method Pending CN105375628A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510818962.2A CN105375628A (en) 2015-11-20 2015-11-20 Power transformation direct current integration monitoring pre-warning method

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Application Number Priority Date Filing Date Title
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Publications (1)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004357369A (en) * 2003-05-27 2004-12-16 Tm T & D Kk Power system monitoring controller, its method, and program for power system supervisory control
CN104020754A (en) * 2014-05-16 2014-09-03 国家电网公司 Method for enabling state monitoring information of transformer station primary main equipment to access to regulation and control system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004357369A (en) * 2003-05-27 2004-12-16 Tm T & D Kk Power system monitoring controller, its method, and program for power system supervisory control
CN104020754A (en) * 2014-05-16 2014-09-03 国家电网公司 Method for enabling state monitoring information of transformer station primary main equipment to access to regulation and control system

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