CN109245109A - A kind of power supply low-voltage early warning system and method - Google Patents
A kind of power supply low-voltage early warning system and method Download PDFInfo
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Abstract
The present invention provides a kind of power supply low-voltage early warning system and methods, wherein system includes equipment files module, also comprising with lower module: for reading the data acquisition module of each data of monitoring point automatically and/or periodically by data-interface according to each measuring point mark in power supply logics relationship topology figure;For carrying out the data analysis module of data analysis in conjunction with power supply quality standard: the low-voltage warning module for comparing according to the maximum carrying capacity of each equipment in power supply logics relationship topology figure and collected load data according to collected load data;For carrying out the GIS module of subregion displaying according to low-voltage result and equipment longitude and latitude.The present invention can greatly improve low-voltage governance efficiency, improve low-voltage problem identification rate, specification low-voltage problem governing measure, the regulation effect of Real-Time Evaluation low-voltage, realize the economical operation of platform area power grid, reach saving energy and decreasing loss, network voltage ability of regulation and control is improved, improves power supply quality and improves rate of qualified voltage.
Description
Technical field
The present invention relates to the technical field of administration of power networks, especially a kind of power supply low-voltage early warning system and method.
Background technique
National standard " power quality supply voltage deviation " (GB/T 12325-2008) regulation, the limit of supply voltage deviation
Value are as follows: the sum of 35kV and the positive and negative absolute value of the bias of the above supply voltage are no more than 10%, the 20kV and following three-phase of nominal voltage
Supply voltage deviation is ± the 7% of nominal voltage, 220 volts of single phase power supply voltage tolerances be nominal voltage+7% ,-
10%.So-called " low-voltage ", i.e., voltage value continues 1 hour lower than under the voltage of national standard defined at user's metering device
Limit value.
Normal electricity consumption of the low-voltage problem in addition to influencing client, can also reduce the service efficiency and economic benefit of electric appliance, shadow
Ring production equipment normal operation and product quality, increase grid power loss and electric energy loss, jeopardize electric system and for
The safe operation of electric equipment.In addition, line loss and line end voltage are in the case where radius having the same and sectional area
At inverse square, therefore promotion route terminal voltage will reduce line loss.It is not only improved during administering low-voltage phenomenon
Quality of voltage can also be improved economic benefit.
The application for a patent for invention of Publication No. CN106157180A discloses the early warning system of a kind of area's low-voltage problem,
Including sequentially connected data interaction module, data warehouse, data integration module and answer analysis module;Data interaction module obtains
Basic data;Data warehouse storage data;The data that data integration module calls need carry out data processing, and send to pre-
Alert analysis module;Early warning analysis module predicts the low-voltage problem in platform area, and predict platform area be likely to occur it is low
Alarm signal is issued when voltage problem, completes the early warning of platform area low-voltage problem.1) system, which has the disadvantage in that, does not consider reality
Border electricity consumption situation, as low-voltage time of occurrence is very short, time in busy farming season open air agricultural tool largely generates provisional low voltage;
2) according only to the area a Ge Tai data to determine whether there is low-voltage, higher level's power issue is not accounted for, can not be chased after
The basic reason of track generation low-voltage problem;3) alert frequency is very high, makes power supply management personnel tired in reply, cannot be effective
Mention low-voltage early warning-rectification vocational work;4) following several days low-voltage problems of dynamic prediction are unable to.
Summary of the invention
In order to solve problem above, the invention proposes a kind of power supply low-voltage early warning system, low electricity can be greatly improved
It presses governance efficiency, improve low-voltage problem identification rate, specification low-voltage problem governing measure, the improvement effect of Real-Time Evaluation low-voltage
Fruit realizes the economical operation of platform area power grid, reaches saving energy and decreasing loss, improves network voltage ability of regulation and control, improves power supply quality and improves
Rate of qualified voltage.
The first object of the present invention is to provide a kind of power supply low-voltage early warning system, including equipment files module, also includes
With lower module:
Data acquisition module: for automatic by data-interface according to each measuring point mark in power supply logics relationship topology figure
And/or each data of monitoring point is read in timing;
Data analysis module: for carrying out data analysis in conjunction with power supply quality standard according to collected load data;It is low
Voltage warning module: for according to the maximum carrying capacity of each equipment in power supply logics relationship topology figure and collected load number
According to comparing;
GIS module: for carrying out subregion displaying according to low-voltage result and equipment longitude and latitude.
Preferably, the low-voltage warning module is also used to according to revised device temperature, historical temperature and user
The Relationship of Coefficients of load combines following N days temperature conditions to carry out load prediction.
It is preferably in the above scheme, the calculation formula of the Relationship of Coefficients K of the historical temperature and customer charge is
Wherein, S is apparent energy, and T is temperature.
It is preferably in the above scheme, the following N days load prediction formula are S=T (D) × K, wherein D≤N,
D indicates certain day.
Be preferably in the above scheme, the low-voltage warning module be also used to according to power supply relationship topology figure judgement be
It is no low voltage condition occur.
It is preferably in the above scheme, the low-voltage judgement includes substation, 10kV route, Tai Qu and four, family
Level.
It is preferably in the above scheme, substation's low-voltage judgment method is whether to calculate access substation's load
More than transformation electricity rated capacity load.
It is preferably in the above scheme, when the substation low-voltage does not occur, calculates the negative of access 10kV route
Whether lotus is more than rated capacity load.
It is preferably in the above scheme, when the 10kV route low-voltage does not occur, calculates the load in access platform area
It whether is more than rated capacity load.
It is preferably, when described area low-voltage does not occur, is distinguished according to low-voltage power supply gis relationship in the above scheme
Judge whether service wire, branch line and backbone meet workload demand.
It being preferably in the above scheme, the equipment files module is used to read device data by data-interface, and
Establish " family-platform area -10kV route-substation " power supply logics relationship topology figure.
It is preferably in the above scheme, the equipment files module is also used to calculate that each device attribute is maximum allowable passes through
Load capacity.
It is preferably in the above scheme, each data of monitoring point includes user data, platform area data and 10kV route number
At least one of according to.
It is preferably in the above scheme, the user data includes voltage, electric current and power;Described area's data include electricity
Pressure, electric current, power, temperature and longitude and latitude;The 10kV track data include it is first, in, the voltage of latter end, electric current and power.
It is preferably in the above scheme, the data analysis module is also used to propose phase according to enterprise power supply administrative staff
The data analysis answered and output report.
It is preferably in the above scheme, the equipment files module is also used to carry out at division the data of monitoring point
Reason and statistics storage.
The second object of the present invention is to provide a kind of power supply low-voltage method for early warning, including carries out data acquisition, also includes
Following steps:
Step 1: for carrying out data analysis in conjunction with power supply quality standard according to collected load data;
Step 2: according to the maximum carrying capacity of each equipment in power supply logics relationship topology figure and collected load data
It compares;
Step 3: subregion displaying is carried out according to low-voltage result and equipment longitude and latitude.
Preferably, the data collection steps include: logical with identifying according to each measuring point in power supply logics relationship topology figure
It crosses data-interface automatically and/or each data of monitoring point is read in timing.
It is preferably in the above scheme, the step 2 further includes according to revised device temperature, historical temperature and use
The Relationship of Coefficients of family load combines following N days temperature conditions to carry out load prediction.
It is preferably in the above scheme, the calculation formula of the Relationship of Coefficients K of the historical temperature and customer charge is
Wherein, S is apparent energy, and T is temperature.
It is preferably in the above scheme, the following N days load prediction formula are S=T (D) × K, wherein D≤N,
D indicates certain day.
Be preferably in the above scheme, the step 2 further include according to power supply relationship topology figure judge whether to occur it is low
Voltage condition.
It is preferably in the above scheme, the low-voltage judgement includes substation, 10kV route, Tai Qu and four, family
Level.
It is preferably in the above scheme, substation's low-voltage judgment method is whether to calculate access substation's load
More than transformation electricity rated capacity load.
It is preferably in the above scheme, when the substation low-voltage does not occur, calculates the negative of access 10kV route
Whether lotus is more than rated capacity load.
It is preferably in the above scheme, when the 10kV route low-voltage does not occur, calculates the load in access platform area
It whether is more than rated capacity load.
It is preferably, when described area low-voltage does not occur, is distinguished according to low-voltage power supply gis relationship in the above scheme
Judge whether service wire, branch line and backbone meet workload demand.
It is preferably, the method also includes reading device data by data-interface, and establishes in the above scheme
" family-platform area -10kV route-substation " power supply logics relationship topology figure, calculates that each device attribute is maximum allowable to be held by load
Amount carries out division processing to the data of monitoring point and statistics stores.
It is preferably in the above scheme, each data of monitoring point includes user data, platform area data and 10kV route number
At least one of according to.
It is preferably in the above scheme, the user data includes voltage, electric current and power;Described area's data include
Voltage, electric current, power, temperature and longitude and latitude;The 10kV track data include it is first, in, the voltage of latter end, electric current and power.
It is preferably in the above scheme, the step 1 includes that division processing and statistics are carried out to the data of monitoring point
Storage.
A kind of power supply low-voltage early warning system and method provided by the invention, introduce big data, internet+etc. advanced skill
Art promotes big data analysis ability and digitization level of decision-making, forms closed loop from power supply quality monitoring, analysis, assessment to improvement
Management system improves the early warning of power distribution network power supply quality and solves the ability of power quality issues, promotes to match under smart grid environment
The raising of grid supply quality level, control measures are more scientific, rationalize, and the power supply quality of further satisfaction user needs
It asks, improves power supply reliability and rate of qualified voltage, it is comprehensive to generally solve power quality issues, promote power system delamination and subarea lean
Change management.
Detailed description of the invention
Fig. 1 is the module map of a preferred embodiment of power supply low-voltage early warning system according to the invention.
Fig. 2 is the flow chart of a preferred embodiment of power supply low-voltage method for early warning according to the invention.
Fig. 2A is the low-voltage judgment method of the embodiment as shown in Figure 2 of power supply low-voltage method for early warning according to the invention
Flow chart.
The module map of the further embodiment of Fig. 3 power supply low-voltage early warning system according to the invention.
The module map of the another preferred embodiment of Fig. 4 power supply low-voltage early warning system according to the invention.
Specific embodiment
For a better understanding of the present invention, the present invention will be described in detail below with reference to specific embodiments.It is clear that can
Different modifications is carried out with remodeling and without departing from the broader spirit and scope of the present invention of appended claims to the present invention.
Therefore, following embodiment has illustrative without the meaning of limitation.
Embodiment 1
As shown in Figure 1, 2, step 200 is executed, equipment files module 100 reads device data by data-interface, and builds
Vertical " family-platform area -10kV route-substation " power supply logics relationship topology figure, calculates that each device attribute is maximum allowable to pass through load
Capacity carries out division processing to the data of monitoring point and statistics stores.Data of monitoring point user data, platform area data and 10kV line
At least one of circuit-switched data, wherein user data includes voltage, electric current and power;Described area's data include voltage, electric current, function
Rate, temperature and longitude and latitude;The 10kV track data include it is first, in, the voltage of latter end, electric current and power.
Step 210 is executed, data acquisition module 110 carries out data acquisition.According to each in power supply logics relationship topology figure
Measuring point mark is automatic by data-interface and/or " distribution SCADA system ", " metering automation system " etc. are read and read in timing
Each data of monitoring point, data of monitoring point include user data, platform area data and 10kV track data, wherein user data include voltage,
Electric current and power;Described area's data include voltage, electric current, power, temperature and longitude and latitude;The 10kV track data includes
It is first, in, the voltage of latter end, electric current and power.
Step 220 is executed, data analysis module 120 is carried out according to collected load data in conjunction with power supply quality standard
Data analysis, and corresponding data analysis and output report are proposed according to enterprise power supply administrative staff.
Step 230 is executed, low-voltage warning module 130 is according to the peak load of each equipment in power supply logics relationship topology figure
Capacity is compared with collected load data, while according to revised device temperature, historical temperature and customer charge
Relationship of Coefficients combines following N days temperature conditions to carry out load prediction, judges whether the following N days loads increase, reduce, is judged
Whether low voltage condition is occurred.Wherein, the calculation formula of historical temperature and the Relationship of Coefficients K of customer charge areWherein, S is apparent energy, and T is temperature.Following N days load prediction formula be S=T (D) ×
K, wherein D≤N, D indicate certain day.N=7 is set in the present embodiment, then historical temperature and the Relationship of Coefficients K of customer charge
Calculation formula isFollowing N days load prediction formula are S=T (7) × K.
According to power supply relationship topology figure, low-voltage deterministic process is as shown in Figure 2 A, and sequence executes step 231 and step 232,
It calculates access substation's load and calculated result compares with transformation electricity rated load.Become if accessing substation's load and being greater than
Piezoelectricity rated load, then sequence executes step 239 and step 240, integrates region and low-voltage occurs, and according to low-voltage result and
Equipment longitude and latitude carries out subregion displaying.If accessing substation's load is less than transformation electricity rated load, sequence executes step 233
With step 234, calculates access 10kV line load and calculated result compares with 10kV rated load.If accessing 10kV line
Road load is greater than 10kV route rated load, then sequence executes step 239 and step 240, low-voltage occurs, more than 100% hair
Yellow early warning out, 120% issues red early warning, and carries out subregion displaying according to low-voltage result and equipment longitude and latitude.If connect
Enter 10kV line load less than 10kV route rated load, then sequence executes step 235 and step 236, and it is negative to calculate access platform area
Lotus simultaneously compares calculated result with platform area rated load.If accessing platform area load is greater than platform area rated load, sequentially hold
Row step 239 and step 240 integrate region and low-voltage occur, and carry out subregion exhibition according to low-voltage result and equipment longitude and latitude
Show.If accessing platform area load is less than platform area rated load, sequence executes step 237 and step 238, calculates service wire, branch
The load of line and backbone simultaneously compares calculated result with rated load.If the load of service wire, branch line and backbone is big
In rated load, then sequence executes step 239 and step 240, integrates region and low-voltage occurs, and according to low-voltage result and sets
Standby longitude and latitude carries out subregion displaying.If the load of service wire, branch line and backbone is less than rated load, 240 are thened follow the steps,
Subregion displaying is carried out according to low-voltage result and equipment longitude and latitude, power supply management personnel can be checked by the system as a result, result
Can " substation ", " 10kV ", " platform area ", " user " be region discoloration display.Carry calculation formula in this step is S=
U × I, wherein U is supply voltage, and I is supply current.
Embodiment 2
As shown in figure 3, system is mainly made of 4 big functional subsystems: the acquisition of power supply quality data is platform data basis
Source can integrate the power supply of the multi-party power distribution network power supply quality monitoring such as voltage monitoring system, Harmonics Monitoring System, marketing system
Qualitative data;System carries out intellectual analysis to monitoring data, and then obtains required power supply quality horizontal information, including power supply quality
Assessment, power supply quality early warning, harmonic trend, disturbance 5 identifing source, power supply quality trend prediction modules, modules can be mutual
It is shared for other modules to analyze result information for cooperation;Expert decision system is that administrative department is powered quality controlling and power supply
The practical applications such as planning provide technical support.It is the effect that administrative department is powered quality controlling that power supply quality, which administers feedback system,
Fruit carries out evaluation tracking.
One, interexchange bus
It follows IEC61970/IEC61968/IEC61850 standard and building is based on the information exchange of service-oriented frame (SOA)
Bus realizes the seamless data interaction between related service system, has the interoperability applied analysis ability between cross-system, is construction
The basis of power supply quality intelligent comprehensive managing and control system.
Two, power supply quality evaluation module
Power supply quality assessment mainly according to power supply quality GB standard, according to known reflection power distribution network equipment and its
The basic data of state calculates relevant evaluation index by different level, finally obtains the quantizating index of the power supply quality of power distribution network,
Index system has specific hierarchy.
Power supply quality index evaluation can be divided into: system evaluation, individual event assessment, customization assessment and professional technique assessment etc..
System evaluation index includes power supply reliability, rate of qualified voltage, comprehensive line loss per unit, iteration scheme customer interrupted ratio;Individual event is commented
Estimate index and be almost related to distribution network planning construction and the various aspects of operational management, including is power supply quality, network loss management, reliable
Property evaluation, reactive compensation configuration, aerial and cable run state evaluation and repair based on condition of component, distribution transformer state evaluation, open
Close the state evaluation etc. of equipment;The index that customization assessment can be concerned about for user carries out emphasis monitoring, carries out to power supply quality
Single index and comprehensive assessment.
It is the basic evaluation details index supported that above-mentioned evaluation index, which is with power distribution network basic data, describes power distribution network
Comprehensive performance, equipment, equipment operation condition, power supply capacity and turn for ability, be power distribution network operation level and power supply capacity
Comprehensive and comprehensive embody.
The management characteristic of power distribution network is to carry out subregion, with different levels management mould according to its voltage class and affiliated region
Formula, county (area), (prefecture-level city), provincial power distribution network operating management department can each independently to its region within the jurisdiction power supply matter
Amount carry out in real time, timing assessment, power supply quality evaluation module can to power distribution network power supply quality carry out comprehensive system evaluate to
Accurate out, objective, effective quantized result, and carry out statistic of classification publication.
Three, power supply quality warning module
Power supply quality early warning, mainly for the excavation of power supply quality data when operating normally.To there is power supply quality index
Abnormal or exceeded line related provides early warning in time, and senior expert system is directed to early warning situation, and discovery power grid is potentially powered
Quality problems, and disturbing cause identification is carried out, to accomplish to power quality issues early discovery, early solution.Warning module will be by
A possibility that power quality issues initiation electric power accident, is preferably minimized, and it is horizontal that power distribution network power supply quality can be improved.Power supply quality is pre-
Police is divided into stable state and transient state forewarning index.Index For Steady-state includes voltage deviation, the total harmonic wave of voltage, voltage tri-phase unbalance factor etc.,
Transient state index is pre- to determine according to voltage history data record and operation of power networks experience mainly for voltage dip, overtension
Alert grade threshold.Early warning is from slightly to seriously point 3 grades.
Four, harmonic trend module
Frequency analysis is the important component of power supply quality analysis, modern industry extensive development and high-power electric
The extensive use of electronic device brings a large amount of harmonic pollutions to existing power supply-distribution system, carries out harmonic trend meter to electric system
It calculates, analyzes its harmonics level situation, can more effectively administer mains by harmonics to harmonic flow calculation and the following portion of assessment point
Point:
1. harmonic flow calculation.According to each element harmonic flow calculation model of supply network established, it is humorous to carry out three-phase
Wave Load flow calculation.
2. Harmonic Assessment.Using harmonic flow calculation as a result, assessment harmonic wave and resonance and annoyance level, research resonance pass
The range broadcast determines the power grid " main element that resonance " center " and resonance are related to.
3. report is issued.In conjunction with " Utility grid harmonic standard ", frequency analysis specification report is generated, is provided for operation maintenance personnel
Visualized data.
4. harmonic wave control.According to assessment result and corresponding report, senior expert system provides reasonable harness of harmonic wave,
Decision-making foundation is provided for operation maintenance personnel.
Five, weak link/disturbing source identification module
Using power supply quality evaluation function, can objective and comprehensive assessment distribution network construction scale to socio-economic development
The adaptedness of demand, and can determine weak link present on distribution network construction scale, while to power supply quality pollution sources
It is monitored, provides valid data for analysis power quality issues and implementation control measures.Platform carries out weak link/disturbing source
Identify that implementation strategy is as follows:
1. individual event and the poor node of comprehensive power supply quality index are analyzed in pair a certain area, a certain setting time;
2. carrying out relevant range interference source statistics, interference type library is established, senior expert system carries out interference correlation
Identification.
Six, power supply quality trend prediction module
Power supply quality monitoring data have certain regularity, and variation tendency changes with the variation of load, and load
Predicting Technique is quite mature, this just provides feasibility for the prediction of power supply quality.
The core function of power supply quality trend prediction module is exactly to pass through to analyse in depth power distribution network power supply quality monitoring data,
Scientifically estimate and speculate the variation tendency of power supply quality index.Regular power supply quality prediction is carried out to specific region, is conducive to
It grasps power supply quality to be horizontally orientated to, finds potential power quality issues in time.It simultaneously can be more accurately with warning module cooperation
Power distribution network operating condition is tracked, improves power supply quality management level, and be conducive to the formulation of Electric Power Network Planning and power supply quality decision
Seven, senior expert system
The information content that power supply quality monitors system acquisition is very huge, pre- even across power supply quality assessment, power supply quality
Alert, trend prediction and harmonic trend module index analysis, feature extraction, data volume is still very considerable, and administrative staff can not do
To understanding in depth comprehensively.Therefore, the main purpose for introducing senior expert system is able to carry out effective data mining, facilitates pipe
Reason personnel have more comprehensively grasp and directive significance to area power grid.
Senior expert system introduces mature advanced technology, using power electronic technique, computer technology, analogue technique,
Information technology and imitation technology provide power distribution network synthesis improvement for management level and build according to user's difference power supply quality demand
View, and by modeling and simulating system evaluation regulation effect, implement power supply quality measure for power distribution network, reliable basis is provided.
Embodiment 3
As shown in figure 4, this system by data acquisition module, data storage processing module, low-voltage intelligent diagnostics module, specially
Four, family's Management strategy library functional module composition;Wherein data acquisition module acquires distribution by data-interface automatic (timing)
Each data of monitoring point such as SCADA system, metering automation system, voltage monitoring system, energy system carry out classification processing statistics
Storage;Low-voltage intelligent diagnostics module, according to the data that classification processing early period counts, progress various dimensions diagnostic analysis sums up low
Voltage characteristic;Expert's Management strategy system is according to low-voltage characteristic automatically retrieval policy library, and it is current to summarize output automatically
Low-voltage problem, low-voltage main feature existing for platform area, regulation principle and high, medium and low three kinds of resolutions are selected for user.
Low-voltage governance efficiency can be greatly improved by means of this system, distribution management department of power supply company, improve low electricity
Problem identification rate, specification low-voltage problem governing measure are pressed, the regulation effect of Real-Time Evaluation low-voltage realizes the warp of platform area power grid
Ji operation, reaches saving energy and decreasing loss, improves network voltage ability of regulation and control, improves power supply quality and improves rate of qualified voltage.
Functional module explanation
Data acquisition module: using communication modes such as Ethernet, 485, with intermediate database, IEC61850 data/address bus
Etc. technologies, from voltage monitoring system, metering automation system, distribution automation system, marketing system read agreement acquisition number
According to project;
Data storage processing module: data directory relationship is established with the fiery point relationship of measuring point attribute and upper whereabouts and stores number
According to;
Low-voltage intelligent diagnostics module: according to the rule of preparatory typing, index data after reading process judges that measuring point is
It is no to there are problems that low-voltage, main feature existing for low-voltage is then provided if it exists;
Expert's Management strategy library: user compiles the characteristic feature of typing low-voltage control measures, according to low-voltage intelligence
Can the low-voltage main feature that provides of diagnostic module, match expert's Management strategy library, then export high, medium and low three kinds it is different
Management strategy is selected for user.
For a better understanding of the present invention, the above combination specific embodiments of the present invention are described in detail, but are not
Limitation of the present invention.Any simple modification made to the above embodiment according to the technical essence of the invention, still belongs to
In the range of technical solution of the present invention.In this specification the highlights of each of the examples are it is different from other embodiments it
Locate, the same or similar part cross-reference between each embodiment.For system embodiments, due to itself and method
Embodiment corresponds to substantially, so being described relatively simple, the relevent part can refer to the partial explaination of embodiments of method.
Claims (10)
1. a kind of power supply low-voltage early warning system, including equipment files module, which is characterized in that also comprising with lower module:
Data acquisition module: for according in power supply logics relationship topology figure each measuring point mark by data-interface automatically and/
Or each data of monitoring point is read in timing;
Data analysis module: for carrying out data analysis in conjunction with power supply quality standard according to collected load data;
Low-voltage warning module: for according to the maximum carrying capacity of each equipment in power supply logics relationship topology figure with it is collected
Load data compares;
GIS module: for carrying out subregion displaying according to low-voltage result and equipment longitude and latitude.
2. power supply low-voltage early warning system as described in claim 1, which is characterized in that the low-voltage warning module is also used to
According to revised device temperature, historical temperature, following N days temperature conditions carry out load in conjunction with the Relationship of Coefficients of customer charge
Prediction.
3. power supply low-voltage early warning system as claimed in claim 2, which is characterized in that the historical temperature and customer charge
The calculation formula of Relationship of Coefficients K is
Wherein, S is apparent energy, and T is temperature.
4. power supply low-voltage early warning system as claimed in claim 3, which is characterized in that the load prediction in following N days is public
Formula is S=T (D) × K, wherein D≤N, D indicate certain day.
5. power supply low-voltage early warning system as claimed in claim 4, which is characterized in that the low-voltage warning module is also used to
Judge whether low voltage condition occur according to power supply relationship topology figure.
6. power supply low-voltage early warning system as claimed in claim 5, which is characterized in that the low-voltage judgement includes power transformation
It stands, 10kV route, Tai Qu and four, family level.
7. power supply low-voltage early warning system as claimed in claim 6, which is characterized in that substation's low-voltage judgment method
It whether is more than transformation electricity rated capacity load to calculate access substation's load.
8. power supply low-voltage early warning system as claimed in claim 7, which is characterized in that when the substation does not occur low-voltage
When, whether the load for calculating access 10kV route is more than rated capacity load.
9. power supply low-voltage early warning system as claimed in claim 8, which is characterized in that when the 10kV route does not occur low electricity
When pressure, whether the load for calculating access platform area is more than rated capacity load.
10. a kind of power supply low-voltage method for early warning, including carry out data acquisition, which is characterized in that also comprise the steps of:
Step 1: according to collected load data, carrying out data analysis in conjunction with power supply quality standard;
Step 2: being carried out according to the maximum carrying capacity of each equipment in power supply logics relationship topology figure and collected load data
Comparison;
Step 3: subregion displaying is carried out according to low-voltage result and equipment longitude and latitude.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111030126A (en) * | 2019-12-24 | 2020-04-17 | 广西电网有限责任公司电力科学研究院 | Load-voltage sensitivity-based low-voltage early warning method for power distribution network |
CN113013984A (en) * | 2020-12-28 | 2021-06-22 | 王文林 | Visual early warning method for regional power grid |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102570459A (en) * | 2012-02-15 | 2012-07-11 | 中国电力科学研究院 | Method for monitoring voltage quality |
CN204348052U (en) * | 2014-11-17 | 2015-05-20 | 杭州西力电能表制造有限公司 | Low voltage electric network power information acquisition system |
CN106229978A (en) * | 2016-09-27 | 2016-12-14 | 国家电网公司 | The pre-judging method of platform district low-voltage problem and system |
CN106410965A (en) * | 2016-10-26 | 2017-02-15 | 珠海许继芝电网自动化有限公司 | Intelligent low-voltage distribution electricity monitoring system based on wiring diagram |
CN108233531A (en) * | 2016-12-31 | 2018-06-29 | 科大智能电气技术有限公司 | A kind of packaged type low-voltage electric energy mass monitoring system and method |
-
2018
- 2018-10-10 CN CN201811180092.0A patent/CN109245109B/en not_active Expired - Fee Related
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102570459A (en) * | 2012-02-15 | 2012-07-11 | 中国电力科学研究院 | Method for monitoring voltage quality |
CN204348052U (en) * | 2014-11-17 | 2015-05-20 | 杭州西力电能表制造有限公司 | Low voltage electric network power information acquisition system |
CN106229978A (en) * | 2016-09-27 | 2016-12-14 | 国家电网公司 | The pre-judging method of platform district low-voltage problem and system |
CN106410965A (en) * | 2016-10-26 | 2017-02-15 | 珠海许继芝电网自动化有限公司 | Intelligent low-voltage distribution electricity monitoring system based on wiring diagram |
CN108233531A (en) * | 2016-12-31 | 2018-06-29 | 科大智能电气技术有限公司 | A kind of packaged type low-voltage electric energy mass monitoring system and method |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111030126A (en) * | 2019-12-24 | 2020-04-17 | 广西电网有限责任公司电力科学研究院 | Load-voltage sensitivity-based low-voltage early warning method for power distribution network |
CN111030126B (en) * | 2019-12-24 | 2022-06-21 | 广西电网有限责任公司电力科学研究院 | Load-voltage sensitivity-based low-voltage early warning method for power distribution network |
CN113013984A (en) * | 2020-12-28 | 2021-06-22 | 王文林 | Visual early warning method for regional power grid |
CN113013984B (en) * | 2020-12-28 | 2024-02-09 | 王文林 | Visual early warning method for regional power grid |
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