CN106229969B - Abnormality judgment method is lost in electric network element based on cumulative statistics line loss per unit - Google Patents
Abnormality judgment method is lost in electric network element based on cumulative statistics line loss per unit Download PDFInfo
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Abstract
The present invention provides a kind of electric network element loss abnormality judgment method, which includes the following steps: that selection actual measurement day carries out the test of electric network element line loss per unit to solve the problems of existing abnormal judgement of electric network element loss；The electric network element statistical line losses rate and theoretical loss calculation that actual measurement day is selected are calculated, and obtains the difference of statistical line losses rate and theoretical loss calculation；It sets electric network element and outlier threshold K is lost, when the absolute value of statistical line losses rate and the difference of theoretical loss calculation is less than K, then assert that selected electric network element loss is normal, conversely, then assert that selected electric network element loss is abnormal.The present invention has abandoned the mode that tradition fluctuates situation according to the end of month statistical line losses rate and empirical value is judged; avoid the presence of the drawbacks of management lag; it is abnormal to electric network element loss based on empirical value judgement to efficiently solve tradition; be not suitable for the requirement of line loss fine-grained management, economy and practical value with higher.
Description
This case is 2014 applyings date September 12nd, and application No. is 201410460609.7, entitled electric network element is damaged
Consume the divisional application of abnormality judgment method.
Technical field
The present invention relates to technical field of power systems, specifically, it is related to a kind of electric network element loss abnormality judgment method,
Especially by day theoretical loss calculation and the comparison of statistical line losses rate is represented, judge whether electric network element loss is different according to size of the difference
Normal judgment method.
Background technique
Line loss is the lifeblood of power supply enterprise, reflects the work effect of the every aspects such as enterprise technology, a management.Power supply
Enterprise suffers from the factors such as line loss per unit fluctuation is larger, the abnormal numerical value of line loss per unit is more in the analysis of statistical line losses to be influenced, no
Reasonable reducing loss measure only can be proposed by analysis statistical line losses rate.Calculating Network Theoretical Line Loss calculating is grid company to electric system
One of the important technical that analysis decision uses, by theoretical line loss caluclation, analyzes power grid indices, to look for
Out power grid presently, there are the problem of, as Power grid structure and system operation existing for deficiency, provided for the saving energy and decreasing loss of power grid
Theoretical foundation.With the development of line loss fining work, for abnormal element is lost in discovery power grid in time, by managing element
Be compared by line loss per unit and statistical line losses rate, can more targeted analysis element line loss abnormal cause, improve power supply enterprise
The Controlling line loss of industry is horizontal.
Normality load measurement and line loss theoretical calculation have accumulated a large amount of theory wire loss data, are excavated and are divided by data depth
Analysis, the theoretical loss calculation and statistical line losses rate difference for reinforcing discrete component compare, and find out line loss exception element and carry out reason point
The problem of analysing, can finding Controlling line loss in time, advantageously reduces the formulation of grid loss and reducing loss measure, now also
Rarely have a kind of preferably to the abnormal method judged of electric network element loss.
Summary of the invention
The present invention provides a kind of electric network element damage to solve the problems of existing abnormal judgement of electric network element loss
Abnormality judgment method is consumed, is compared especially by actual measurement day theoretical loss calculation and statistical line losses rate, electricity is judged according to size of the difference
Mesh element loss whether Yi Chang judgment method.
Technical problems to be solved needed for the present invention can be achieved through the following technical solutions:
A kind of electric network element loss abnormality judgment method, which comprises the steps of:
1, selection actual measurement day carries out the test of electric network element line loss per unit；
2, the electric network element statistical line losses rate and theoretical loss calculation that actual measurement day is selected are calculated, and obtains statistical line losses rate and reason
By the difference of line loss per unit；
3, outlier threshold K is lost in setting electric network element, when the absolute value of statistical line losses rate and the difference of theoretical loss calculation is small
In K, then assert that selected electric network element loss is normal, conversely, then assert that selected electric network element loss is abnormal.
In the present invention, the loss outlier threshold, wherein t1、t2、t3Respectively with choosing
Determine the average value of electric network element passing continuous 3 years annual cumulative statistics line losses per unit of electric network element same specification, t is actual measurement day and choosing
Determine the average value of the electric network element theoretical loss calculation of electric network element same specification,Electric network element maximum load is selected for actual measurement day
Rate,Electric network element Rate of average load is selected for actual measurement day.
In the present invention, the loss outlier threshold K is previously given value, when the selected electric network element loads normal, institute
It states loss outlier threshold K and meets 0.4≤K≤0.5, the selected electric network element heavy duty or at light load, the loss exception threshold
Value K meets 0.6≤K≤1, wherein when the maximum load rate of electric network element is less than 30%, then electric network element is underloading, when power grid member
The maximum load rate of part is more than or equal to 70%, then electric network element is heavy duty, when the maximum load rate of electric network element is more than or equal to 30%
And less than 70%, then electric network element load is normal.
In the present invention, the electric network element is transformer, and the maximum load rate of the transformer is more than or equal to 80%, then becomes
Depressor is heavy duty, and the maximum load rate of the transformer is less than 30%, then transformer is underloading, the maximum load of the transformer
Rate is more than or equal to 30% and less than 80%, then transformer load is normal.
In the present invention, the electric network element is transformer, when transformer load is normal, when transformer is in 110kV electric power
System, loss outlier threshold K are 0.4, and when transformer is in 35kV electric system, loss outlier threshold K is 0.5；
Transformer heavy duty or at light load, when transformer be in 110kV electric system, loss outlier threshold K is 0.6, works as change
Depressor is in 35kV electric system, and loss outlier threshold K is 0.7.
In the present invention, the electric network element is power supply line, and the maximum load rate of the power supply line is more than or equal to 70%,
Then power supply line is heavy duty, and the maximum load rate of the power supply line is less than 30%, then power supply line is underloading, the supply lines
The maximum load rate on road is more than or equal to 30% and less than 70%, then power supply line's load is normal.
In the present invention, the electric network element is power supply line, when power supply line's load is normal, when power supply line is in
110kV electric system, loss outlier threshold K are 0.4, and when power supply line is in 35kV electric system, loss outlier threshold K is
0.4；
Power supply line's heavy duty or at light load, when power supply line be in 110kV electric system, loss outlier threshold K is 0.8,
When power supply line is in 35kV electric system, loss outlier threshold K is 1.
In the present invention, the electric network element includes: each voltage class power supply line and each voltage class transformer, wherein
Each voltage class transformer further includes the dedicated distribution transformer of all 10kV and public distribution of 10kV line powering
Transformer.
In the present invention, the calculation of the electric network element theoretical loss calculation, including a kind or a kind in following manner
Above combination:
1, it is calculated using rms current method, according to data acquisition and supervisor control historical data, using actual measurement day
24 integral point voltages, active power, the real time data of reactive power are calculated；
2., calculated using Newton-Raphson approach, according to data acquisition and supervisor control historical data, using actual measurement
Day 24 integral point voltages, active power, the real time data of reactive power are calculated；
3, it is calculated using coulometry, is calculated according to power information acquisition system data；
4, it is calculated using actual measurement day actual measurement copy data；
5, it is calculated using actual measurement day measured data；
6, it is included according to boundary condition recommendation.
In the present invention, the working range of the electric network element include 1000kV, 500kV, 220kV, 110kV, 35kV and
10kV and following electric system.
Abnormality judgment method is lost in electric network element of the present invention, normality load measurement and line loss theoretical calculation is based on, in conjunction with electricity
Energy information acquisition system data compare the difference of electric network element theory wire loss and statistical line losses, judge that electric network element loss is
No exception has abandoned the mode that tradition fluctuates situation according to the end of month statistical line losses rate and empirical value is judged, has avoided existing
The drawbacks of management lag, is efficiently solved tradition and is judged based on empirical value electric network element loss exception, it is fine to be not suitable for line loss
Change the requirement of management, economy and practical value with higher.
Detailed description of the invention
The present invention is further illustrated below in conjunction with the drawings and specific embodiments.
Fig. 1 is the flow chart of judgment method of the present invention.
Specific embodiment
In order to make the technical means, creative features, achievement of purpose and effectiveness of the invention easy to understand, below with reference to tool
Body diagram, the present invention is further explained.
Idea of the invention is that finding traditional root by the analysis for existing electric network element being lost abnormal judgment mode
According to the mode that the end of month statistical line losses rate fluctuation situation and empirical value are judged, there are problems that the drawbacks of management lag, lead to
It crosses the present invention and a kind of electric network element loss abnormality judgment method is provided, especially by actual measurement day theoretical loss calculation and statistical line losses
Rate comparison, judging electric network element loss according to size of the difference, whether Yi Chang judgment method is to solve the above problems.
Referring to Fig. 1, abnormality judgment method is lost in electric network element of the present invention, and first choice is it should be noted that the present invention is to pass through
Selection actual measurement day, the test of electric network element line loss per unit is carried out, by electric network element load measurement, surveys day obtaining electric network element
After theoretical loss calculation and statistical line losses rate, compares and realize the judgement abnormal to network element loss, it can be with for actual measurement day
According to the actual situation, fixation several days of each calendar month are chosen as actual measurement day.
When progress electric network element loss exception judges, it is generally adopted by point electric network element and carries out that abnormal judgement is lost,
Each multiple electric network elements that can be selected day in electric system of surveying carry out that abnormal judgement is lost, and can also select electric system
Middle part electric network element carries out that abnormal judgement is lost, and the range of selection is carried out according further to actual demand.
For electric network element according to the present invention, comprising: each voltage class power supply line and each voltage class transformer,
Wherein, each voltage class transformer further includes the dedicated distribution transformer of all 10kV of 10kV line powering and public
Distribution transformer.Supply lines i.e. in 1000kV, 500kV, 220kV, 110kV, 35kV and 10kV and following electric system
Road and transformer can become under load measurement, the object judged extremely are lost.
Before being judged by load measurement electric network element loss, the underlying parameter of electric system can be carried out
Maintenance before carrying out loss judgement to electric network element, can carry out necessary preparation in electric network element load measurement,
Preparation can refer to following process:
(1) actual measurement day is selected and job placement: the actual measurement day that management through specialized department department, prefecture-level company determines according to provincial company, mentioning
First 2 days arrangement load measurements and line loss theoretical calculation work.
(2) device parameter is collected: to guarantee the correct of line loss theoretical calculation result, relevant departments' bonding apparatus account is prior
It collects, verify, prepare device parameter data, the equipment data collected should be made consistent with the actual measurement actual conditions of day.Equipment ginseng
Number data includes the parameter data (nameplate and test data) of each voltage class transformer, capacitor, reactor；35kV or more
The single-lined diagram (containing branch) of power grid primary system wiring diagram and 10kV distribution line, be marked on figure wire type, length,
The famous value of the reality of line impedance.One route has the case where several different model line segments, should mark each line segment parameter respectively.
(3) it calculates figure maintenance: completing within load measurement 1 day a few days ago the maintenance of calculating figure, actual measurement day mode is faced
When Shi Bianhua, reply calculating is modified with figure according to actual measurement day actual operating in time.
After completing above-mentioned preparation, it can be adopted carrying out normalization load measurement actual measurement day when carrying out load measurement
Measured data is extracted with graphic and model integration data platform, obtains data using existing automated system as far as possible, automated system does not have
Covered region is manually made a copy of using reconnaissance, and data source has: the acquisition of scheduling data and supervisor control, electric flux are certainly
Dynamic acquisition system, Distribution Network Load Data monitoring system, monitoring system of distribution transformer, marketing SG186 system, power information acquisition system and artificial
Meter reading etc..Since operation above-mentioned belongs to generally conventional operating process for electric system, those skilled in the art are to upper
State process content be it is well known, no longer carry out tired state herein.
During surveying day and carrying out normalization load measurement, actual measurement day selected electric network element (one or more is calculated
It is a) statistical line losses rate and theoretical loss calculation can calculate, herein statistical line losses rate by power supply volume and electricity sales amount
It is not repeated；For the theoretical loss calculation of electric network element, then calculated according to 24 hours integral point measured datas.
The theoretical loss calculation of electric network element is calculated, it, can be using wherein according to practical the case where selecting electric network element
One or more than one kinds of combinations realize:
A.220kV and system above electric network element line loss theoretical calculation principle is calculated using rms current method, according to tune
Degree according to acquisition with supervisor control historical data, using actual measurement 24 integral point voltage of day, active power, reactive power it is real-time
Data are calculated.
B. the Newton-Raphson approach in company, prefectures and cities major network tidal current computing method Procedure for selection calculates, according to scheduling number
According to acquisition and supervisor control historical data, using actual measurement 24 integral point voltage of day, active power, the real time data of reactive power
It is calculated, and considers that temperature influences.
C. distribution is calculated is calculated using coulometry, according to power information acquisition system data.
D. substation station damage electricity is calculated by actual measurement day actual measurement copy data；Capacitor, reactor loss of electricity by real
Day measured data is surveyed to calculate.Being included according to boundary condition recommendation for measured data is not made a copy of.
Integration period due to being generally used for electric quantity metering in electric system is 15 or 5 minutes, device electricity and 24 hours
Accumulate electricity between there are errors, necessarily causing point electric network element statistical line losses rate with theoretical loss calculation, there are differences, here I
By electric network element statistical line losses rate, there are differences to be defined as Δ X with theoretical loss calculation.Thus electric network element statistical line losses can be analyzed
Rate mainly has the reason of there are differences with theoretical loss calculation: metering device composition error；15 minutes device electricities and 24 hours are tired
Difference and equipment component operating status of product electricity etc..
When the difference DELTA X of selected electric network element statistical line losses rate and theoretical loss calculation within a certain range when, then it is assumed that
Electric network element loss is normal, conversely, then assert that selected electric network element loss is abnormal.In the present invention, a power grid is set
Outlier threshold K is lost when the absolute value of statistical line losses rate and the difference DELTA X of theoretical loss calculation are less than in element loss outlier threshold K,
Then assert that selected electric network element loss is normal, conversely, then assert that selected electric network element loss is abnormal.
Therefore, the selection of electric network element loss outlier threshold K will become the mostly important content of the present invention.Do not considering
Under the premise of metering device composition error and equipment running status, in actual measurement day electric network element theoretical loss calculation and electric system
The size of the difference of electric network element statistical line losses rate, it is mainly related with actual measurement day electric network element maximum load rate and Rate of average load.
In addition to this, in the first embodiment of the invention, electric network element passing continuous 3 years annual cumulative statistics line losses are also selected
Rate is as influence factor, for realizing the setting to loss outlier threshold K.
In the first embodiment of the invention, outlier threshold is lost:
, wherein t1、t2、t3It is respectively annual accumulative with the electric network element of selected electric network element same specification passing continuous 3 years
The average value of statistical line losses rate, here, same specification refer to the electric network element of same-type and voltage class, such as 110kV power supply
Transformer, 35kV power supply line etc., then, the average value of annual cumulative statistics line loss per unit is the power grid member by multiple same specifications
Statistical line losses rate of the part in 1 year is carried out average and is got, and data have very big reliability.
T is the average value for surveying the electric network element theoretical loss calculation of day and selected electric network element same specification, that is, is carrying out electricity
When mesh element loss exception judges, no matter how many selected electric network elements are carried out that abnormal judgement is lost, for what is be selected
The electric network element that electric network element centainly chooses multiple same specifications again carries out calculating (the multiple same specifications being selected of theoretical loss calculation
Electric network element can each of carry out that abnormal judgement is lost, can also only part is carried out abnormal judgement is lost), pass through
It averages to multiple theoretical loss calculations with the electric network element of chosen electric network element same specification, obtains t value.
Electric network element maximum load rate is selected for actual measurement day,Pair electric network element Rate of average load is selected for actual measurement day, i.e.,
For electric network element 2014 selected a certain actual measurement days, t1It is complete with the electric network element of selected electric network element same specification for 2013
The average value of year cumulative statistics line loss per unit, t2For 2012 and the electric network element whole year cumulative statistics of selected electric network element same specification
The average value of line loss per unit, t3It is flat with the electric network element whole year cumulative statistics line loss per unit of selected electric network element same specification for 2011
Mean value selectes electric network element maximum load rate actual measurement day, and actual measurement day selectes electric network element Rate of average load, needs in normality
It synchronizes and is surveyed during changing load measurement.
In order to better illustrate the present invention, below by taking 110kV transformer as an example, the first embodiment of the invention is carried out
Illustrate:
1 110kV transformer statistical line losses rate of table is compared with theoretical loss calculation
The average value of 110kV transformer 2013 annual cumulative statistics line losses per unit is 0.50%, annual cumulative statistics in 2012
The average value of line loss per unit is 0.52%, and the average value of annual cumulative statistics line loss per unit in 2011 is 0.51%, and 2010 annual accumulative
The average value of statistical line losses rate is 0.53%.
So, for surveying August in January, 2014 day, for by Fuyang, thin sun becomes 1#, t1=0.50%, t2=0.52%, t3=
0.51%, the actual measurement day multiple 110kV transformer theoretical loss calculations average value t=0.33%, bring into aforementioned formula, pass through meter
Calculation obtains loss outlier threshold K=0.41, and the theoretical loss calculation of 110kV transformer actual measurement day is 0.48%, statistical line losses rate
It is -0.03%, obtains the difference DELTA X=- 0.51% of actual measurement day 110kV transformer statistical line losses rate and theoretical loss calculation, absolutely
Value is greater than loss outlier threshold K, and therefore, it is abnormal which becomes 1# loss.The abnormal reason of loss may be meter
Measure device composition error larger (meter operation is abnormal, such as changes table or metering is wrong), Operation of Electric Systems exception and equipment
Operation exception causes statistical line losses difference wrong, at this moment, Controlling line loss personnel can be reminded to search element line loss abnormal cause in time,
Improve its Controlling line loss level.
For surveying June 4 2014 day, either Xuancheng Golden Bridge becomes 2# or Xuancheng Jingxian County becomes 1#, is all satisfied t1=
0.50%, t2=0.52%, t3=0.51%, the actual measurement day multiple 110kV transformer theoretical loss calculations average value t=0.30%, then may be used
Calculate K value of two 110kV transformers in the abnormal judgement of loss accordingly, be computed and obtain, actual measurement day Xuancheng Golden Bridge
It is abnormal to become 2# loss, it is normal that Xuancheng Jingxian County becomes 1# loss.
Similarly, for surveying at August 8th 2013 days, Xuancheng Golden Bridge becomes 1#, t1=0.52%, t2=0.51%, t3=0.53%,
The actual measurement day multiple 110kV transformer theoretical loss calculations average value t=0.35%, judge the transformer loss whether Yi Chang side
Formula with it is aforementioned it is described be it is identical, be not repeated herein, by calculate it is found that the actual measurement day Xuancheng Golden Bridge to become 1# loss normal.
In addition, as seen from the table, surveying transformer Rate of average load with maximum load rate and differing larger, it is believed that be more
Extreme case.As can be seen from the table, in the normal range, i.e. maximum load rate is in 30%- for actual measurement day transformer element load factor
Between 80%, when maximum load rate and larger Rate of average load ratio, such as 2014.06.04 actual measurement, day Xuancheng Golden Bridge becomes 2#, most
Heavy load rate and Rate of average load ratio reach 1.91, are calculated according to formula, and theory wire loss and statistical line losses rate difference are most
Big value theoretically can reach 0.39 percentage point, and practical theory wire loss and statistical line losses absolute difference are 0.48 percentage
Point, it is believed that the element loss is abnormal；The same thin sun in the Fuyang 2014.01.08 becomes 1# theory wire loss and statistical line losses rate difference most
Big value theoretically can reach 0.41 percentage point, and practical theory wire loss and the absolute value of statistical line losses difference are 0.51 hundred
Branch can determine whether element loss exception, it is proposed that Controlling line loss person searches reason from measurement meter, electric energy system etc..
Element pole underloading or heavy duty and load be impact load when, maximum load rate and Rate of average load difference compared with
Greatly, theoretical loss calculation is caused to take error when integral point data were calculated in 24 hours larger, as 2014.06.04 surveys day Xuan Chengjing
County becomes 1# underloading, and maximum load rate and Rate of average load ratio reach 3.28, and theoretical loss calculation and the maximum of statistical line losses rate are poor
Value K is 0.57 percentage point, and practical line loss rate absolute difference is 0.44 percentage point, and element loss is normal.2013.8.8
It surveys day Xuancheng Golden Bridge and becomes 1# heavy duty, maximum load rate and Rate of average load ratio reach 2.93, theoretical loss calculation and statistics line
The maximum difference K of loss rate is 0.49 percentage point, and practical line loss rate absolute difference is 0.10 percentage point, and element loss is just
Often.
By examples detailed above it is found that the first embodiment of the invention, no matter normal, heavily loaded, light in transformer load
It carries, whether present embodiment can well judge the loss of transformer extremely, not surveyed day transformation by transformer
Device maximum load rate and Rate of average load are influenced.It is to be herein pointed out present embodiment is only to use 110kV transformation
Device illustrates, for the transformer of other voltage class, power supply line under various voltage class, and present embodiment
All be it is applicable, present embodiment is not limitation of the present invention.
Certainly, due to, when determining loss outlier threshold K, it is passing to relate to selected electric network element in embodiment above-mentioned
Continuous 3 years annual cumulative statistics line losses per unit, for building the electric system of completion, or no passing annual cumulative statistics recently
The area of line loss per unit will be unable to realize the judgement that electric network element loss is abnormal using embodiment above-mentioned.Therefore, of the invention
It can also determine that second of embodiment of the invention is lost determining by loss outlier threshold K using other modes
It is still related with actual measurement day electric network element maximum load rate and Rate of average load when outlier threshold K.
In present embodiment, loss outlier threshold K is previously given value, when selected electric network element loads normal, is lost different
Normal threshold k meets 0.4≤K≤0.5, selectes electric network element heavy duty or at light load, 0.6≤K of the loss outlier threshold K satisfaction
≤ 1, wherein when the maximum load rate of electric network element is less than 30%, then electric network element is underloading, when the maximum load of electric network element
Rate is more than or equal to 70%, then electric network element is heavy duty, when the maximum load rate of electric network element is more than or equal to 30% and less than 70%, then
Electric network element load is normal.
In the present embodiment, the given value of different electric network elements loss outlier threshold K is different, electric network element
Normal, heavily loaded, underloading the condition of load is also different, below will be by taking the most widely used transformer and power supply line as an example
It is illustrated.
When electric network element is transformer, the maximum load rate of transformer is more than or equal to 80%, then transformer is heavy duty, institute
The maximum load rate of transformer is stated less than 30%, then transformer is underloading, and the maximum load rate of transformer is more than or equal to 30% and small
In 80%, then transformer load is normal；When electric network element is power supply line, the maximum load rate of power supply line is more than or equal to 70%,
Then power supply line is heavy duty, and the maximum load rate of power supply line is less than 30%, then power supply line is underloading, the maximum of power supply line
Load factor is more than or equal to 30% and less than 70%, then power supply line's load is normal.
For transformer and power supply line, when it is in the electric system of different voltage class, outlier threshold K is lost
Given value be also different.For example, when transformer load is normal, when transformer is in 110kV electric system, the abnormal threshold of loss
Value K is 0.4, and when transformer is in 35kV electric system, loss outlier threshold K is 0.5；Transformer heavy duty or at light load, work as change
Depressor is in 110kV electric system, and loss outlier threshold K is 0.6, when transformer is in 35kV electric system, the abnormal threshold of loss
Value K is 0.7.
For power supply line, when power supply line's load is normal, when power supply line is in 110kV electric system, loss is abnormal
Threshold k is 0.4, and when power supply line is in 35kV electric system, loss outlier threshold K is 0.4；Power supply line's heavy duty or underloading
When, when power supply line is in 110kV electric system, loss outlier threshold K is 0.8, when power supply line is in 35kV electric system,
It is 1 that outlier threshold K, which is lost,.
Its judged extremely is lost other than loss outlier threshold K is different from aforementioned embodiments for present embodiment
His process be all it is identical, since detailed description has been carried out in aforementioned embodiments, except this carries out tired state again.
Only the preferred embodiment of the present invention has been described above, but is not to be construed as limiting the scope of the invention.This
Invention is not only limited to above embodiments, and specific structure is allowed to vary.In short, all guarantors in independent claims of the present invention
Made various change is within the scope of the invention in shield range.
Claims (4)
1. abnormality judgment method is lost in the electric network element based on cumulative statistics line loss per unit, which comprises the steps of:
1) selection actual measurement day carries out the test of electric network element line loss per unit；
2) the electric network element statistical line losses rate and theoretical loss calculation that actual measurement day is selected are calculated, and obtains statistical line losses rate and Molded Line
The difference of loss rate；
3) setting electric network element be lost outlier threshold K, when the absolute value of statistical line losses rate and the difference of theoretical loss calculation be less than K,
Then assert that selected electric network element loss is normal, conversely, then assert that selected electric network element loss is abnormal；
The loss outlier thresholdWherein, t1、t2、t3Respectively with selected electric network element with rule
The average value of the electric network element of lattice passing continuous 3 years annual cumulative statistics line losses per unit, to survey, day and selected electric network element are same to advise t
The average value of the electric network element theoretical loss calculation of lattice, α are electric network element maximum load rate of selecting actual measurement day, and f is that actual measurement day is selected
Electric network element Rate of average load.
2. abnormality judgment method, feature is lost in the electric network element according to claim 1 based on cumulative statistics line loss per unit
Be: the electric network element includes: each voltage class power supply line and each voltage class transformer, wherein described each voltage etc.
Grade transformer further includes the dedicated distribution transformer of all 10kV and public distribution transformers of 10kV line powering.
3. abnormality judgment method, feature is lost in the electric network element according to claim 1 based on cumulative statistics line loss per unit
It is: the calculation of the electric network element theoretical loss calculation, including a kind or a kind or more of combination in following manner:
1) it is calculated using rms current method, it is whole using actual measurement day 24 according to data acquisition and supervisor control historical data
Point voltage, active power, the real time data of reactive power are calculated；
2) it is calculated using Newton-Raphson approach, it is whole using actual measurement day 24 according to data acquisition and supervisor control historical data
Point voltage, active power, the real time data of reactive power are calculated；
3) it is calculated using coulometry, is calculated according to power information acquisition system data；
4) it is calculated using actual measurement day actual measurement copy data；
5) it is calculated using actual measurement day measured data；
6) it is included according to boundary condition recommendation.
4. abnormality judgment method, feature is lost in the electric network element according to claim 1 based on cumulative statistics line loss per unit
Be: the working range of the electric network element includes 1000kV, 500kV, 220kV, 110kV, 35kV and 10kV and following electric power
System.
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| CN108631295A (en) * | 2018-02-17 | 2018-10-09 | 国网安徽省电力公司电力科学研究院 | The online accurate calculation system of theory wire loss of measured data |
| CN111443305A (en) * | 2018-12-27 | 2020-07-24 | 贵州中烟工业有限责任公司 | Method and device for detecting line fault by using electric energy deviation value |
| CN111191912B (en) * | 2019-12-26 | 2022-09-02 | 深圳供电局有限公司 | Light-load line identification method and device, computer equipment and storage medium |
| CN111257672B (en) * | 2020-02-11 | 2022-11-15 | 深圳市广和通无线股份有限公司 | Line loss point inspection method and device, computer equipment and storage medium |
| CN111693795B (en) * | 2020-03-30 | 2023-07-18 | 贵州电网有限责任公司 | Intelligent ammeter-based transformer area line loss rate evaluation and abnormality judgment method |
| CN113011608B (en) * | 2021-02-25 | 2024-05-28 | 国网安徽省电力有限公司电力科学研究院 | Power grid management strategy system based on data management |
| CN113189417B (en) * | 2021-04-09 | 2022-07-26 | 国网浙江乐清市供电有限公司 | Line loss abnormity judgment device and method based on line loss dynamic analysis |
| CN114937992B (en) * | 2022-07-21 | 2022-11-04 | 国网湖北省电力有限公司经济技术研究院 | Power transmission and transformation energy-saving method and system |
| CN117691750B (en) * | 2024-01-30 | 2024-04-09 | 深圳市森通电力科技有限公司 | Intelligent power distribution monitoring method and system |
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