CN108599168A - A kind of method and system for carrying out reasonable evaluation to bulk power grid plan trend - Google Patents
A kind of method and system for carrying out reasonable evaluation to bulk power grid plan trend Download PDFInfo
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- CN108599168A CN108599168A CN201810286867.6A CN201810286867A CN108599168A CN 108599168 A CN108599168 A CN 108599168A CN 201810286867 A CN201810286867 A CN 201810286867A CN 108599168 A CN108599168 A CN 108599168A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The invention discloses a kind of method and system for carrying out reasonable evaluation to bulk power grid plan trend, including：Establish single period running mode data reasonability the first evaluation index set；Establish multiple period running mode data reasonability the second evaluation index set；Obtain the quality of data scoring of each evaluation index in the first evaluation index set of any one period；Obtain the average data quality score of all evaluation indexes in the first evaluation index set of any one period；Obtain the quality of data scoring of each evaluation index in the second evaluation index set of multiple periods；Obtain the average data quality score of all evaluation indexes in the second evaluation index set of multiple periods；The average data quality score of all evaluation indexes in average data quality score and the second evaluation index set based on all evaluation indexes in the first evaluation index set determines the ensemble average quality of data scoring of the first evaluation index set and the second evaluation index set.
Description
Technical field
The present invention relates to electrical power system on-line safety and stabilities to calculate analysis field, more particularly, to one kind for big
Power grid plan trend carries out the method and system of reasonable evaluation.
Background technology
Electric system a few days ago operation plan be dispatching of power netwoks operation important link, rational operation plan arrangement be ensure
The premise and basis of power network safety operation.With the propulsion of extra-high voltage construction and interconnection power system, alternating current-direct current series-parallel connection electricity
Network planning mould constantly expands, while the new energy such as wind-powered electricity generation, photovoltaic access on a large scale, and power system operating mode becomes increasingly complex, power grid tune
Degree department needs more fining, accuracy when formulating operation plan.Carrying out safety and stability check to operation plan can send out
Now existing safety and stability problem in the works a few days ago, helps to formulate rational operation plan and corresponding Control Measure,
There is extremely important meaning to the safe and stable operation of power grid.
The basis of operation plan Security Checking is to generate the plan flow data for meeting security and stability analysis requirement.Due to me
State's operation of power networks uses differentiated control principle, bulk power grid plan Load flow calculation to need to utilize state, net, the scheduling meter for saving power grids at different levels
Data are drawn, due to the compactness of power grid electrical link, the bad data in individual areas will influence the convergence and knot of overall calculation
The reasonability of fruit.In addition, the prediction of the deviation that dispatch plan data generally existing is certain, wherein system loading and bus load prediction
Precision influenced by Changes in weather and user's randomness very big, generation schedule, tie line plan He Fen save total exchange plan source
In the economic load dispatching algorithm based on DC power flow, there is also certain deviation, these deviations, which are superimposed, necessarily affects scheduling meter
Draw the convergence and reasonability of trend.In addition, operation plan lacks idle planning data, the plan trend number generated may be caused
Reactive voltage result precision in is relatively low, and then influences the reasonability of Security Checking result.
The data source for planning Load flow calculation is more, and input data amount is big and the quality of data is irregular, in order to from management
With the technical calculating accuracy that plan trend is continuously improved, the key factor for studying influence plan Load flow calculation precision is needed,
The qualitative assessment for the flow data reasonability influence factor that realizes a plan solves to trace to its source from data source header and model source
Certainly problem.
Therefore, it is necessary to a kind of technologies, and reasonable evaluation is carried out to bulk power grid plan trend to realize.
Invention content
The present invention provides a kind of method and system for carrying out reasonable evaluation to bulk power grid plan trend, to solve
The problem of how reasonable evaluation being carried out to bulk power grid plan trend.
To solve the above-mentioned problems, the present invention provides a kind of for carrying out reasonable evaluation to bulk power grid plan trend
Method, the method includes：
Establish single period running mode data reasonability the first evaluation index set；
Establish multiple period running mode data reasonability the second evaluation index set；
Obtain the quality of data scoring of each evaluation index in the first evaluation index set of any one period；It obtains
The average data quality score of all evaluation indexes in the first evaluation index set of any one period；
Obtain the quality of data scoring of each evaluation index in the second evaluation index set of the multiple period；It obtains
Take the average data quality score of all evaluation indexes in the second evaluation index set of multiple periods；
Average data quality score and described second based on all evaluation indexes in the first evaluation index set are commented
The average data quality score of all evaluation indexes in valence index set, determines the first evaluation index set and described second
The ensemble average quality of data of evaluation index set scores.
Preferably, the first evaluation index set includes：
Unit output and unscheduled power consistency, load it is active with predicted value consistency, point save section effective power flow with point
Saving total exchange plan consistency, line status and the planned failed cluster of repair schedule consistency, unit, load has predicted value not join
Net, balance nodes active power, balance nodes reactive power, generator terminal voltage, bus nodes voltage, generator PQ nodes
Power factor.
Preferably, the second evaluation index set includes：
Generator active power variation, the variation of load active power, generator reactive power variation, reactive load power become
Change, state change is moved back in capacitive reactance device throwing.
Preferably, the average data quality score based on all evaluation indexes in the first evaluation index set and
The average data quality score of all evaluation indexes in the second evaluation index set, determines the first evaluation index set
It scores with the ensemble average quality of data of the second evaluation index set, including：
Average data quality score and described second based on all evaluation indexes in the first evaluation index set are commented
The average data quality score of all evaluation indexes in valence index set, and respectively to institute in the first evaluation index set
There are the average data quality score of evaluation index and the average data matter of all evaluation indexes in the second evaluation index set
Different weights is arranged in amount scoring, determines the ensemble average of the first evaluation index set and the second evaluation index set
The quality of data scores.
Preferably, the ensemble average quality of data scoring is higher, and the bulk power grid plan trend plan reasonability is higher.
Based on another aspect of the present invention, provide a kind of for carrying out reasonable evaluation system to bulk power grid plan trend
System, the system comprises：
First establishing unit, for establishing single period running mode data reasonability the first evaluation index set；
Second establishes unit, for establishing multiple period running mode data reasonability the second evaluation index set；
First acquisition unit, each evaluation index in the first evaluation index set for obtaining any one period
The quality of data scores；Obtain the average data quality of all evaluation indexes in the first evaluation index set of any one period
Scoring；
Second acquisition unit, each evaluation index in the second evaluation index set for obtaining the multiple period
The quality of data scoring；Obtain the average data quality of all evaluation indexes in the second evaluation index set of multiple periods
Scoring；
Score unit, is used for the average data quality score based on all evaluation indexes in the first evaluation index set
With the average data quality score of all evaluation indexes in the second evaluation index set, first evaluation indice is determined
It closes and the ensemble average quality of data of the second evaluation index set scores.
Preferably, the first evaluation index set includes：
Unit output and unscheduled power consistency, load it is active with predicted value consistency, point save section effective power flow with point
Saving total exchange plan consistency, line status and the planned failed cluster of repair schedule consistency, unit, load has predicted value not join
Net, balance nodes active power, balance nodes reactive power, generator terminal voltage, bus nodes voltage, generator PQ nodes
Power factor.
Preferably, the second evaluation index set includes：
Generator active power variation, the variation of load active power, generator reactive power variation, reactive load power become
Change, state change is moved back in capacitive reactance device throwing.
Preferably, the scoring unit is used for：It is averaged based on all evaluation indexes in the first evaluation index set
The quality of data score and the second evaluation index set in all evaluation indexes average data quality score, determine described the
The ensemble average quality of data of one evaluation index set and the second evaluation index set scores, including：
Average data quality score and described second based on all evaluation indexes in the first evaluation index set are commented
The average data quality score of all evaluation indexes in valence index set, and respectively to institute in the first evaluation index set
There are the average data quality score of evaluation index and the average data matter of all evaluation indexes in the second evaluation index set
Different weights is arranged in amount scoring, determines the ensemble average of the first evaluation index set and the second evaluation index set
The quality of data scores.
Preferably, the scoring unit is used for：The ensemble average quality of data scoring is higher, the bulk power grid plan tide
It is higher that flowmeter draws reasonability.
Technical solution of the present invention provide it is a kind of for bulk power grid plan trend carry out reasonable evaluation method and be
System, establishes a kind of bulk power grid plan trend Rationality Assessment index system.Technical solution of the present invention is for the single plan moment
Serial evaluations index, the reasonability of evaluation plan flow data are established with the plan flow data at continuous multiple plan moment.So
It is directed to the active and reactive voltage of plan trend respectively as a result, establishing computational accuracy evaluation index afterwards, analysis calculates the shadow of deviation
The factor of sound carries out quantitative evaluation to influence factor.
Description of the drawings
By reference to the following drawings, exemplary embodiments of the present invention can be more fully understood by：
Fig. 1 is the method for carrying out reasonable evaluation to bulk power grid plan trend according to the preferred embodiment for the present invention
Flow chart；
Fig. 2 is the method for carrying out reasonable evaluation to bulk power grid plan trend according to the preferred embodiment for the present invention
Flow chart；
Fig. 3 is the circuit effective power flow deviation calculation flow chart according to the preferred embodiment for the present invention；
Fig. 4 is the voltage deviation calculation flow chart according to the preferred embodiment for the present invention；
Fig. 5 is each instruction 96 moment average data quality evaluation figure according to the preferred embodiment for the present invention；
Fig. 6 is the 96 moment average data quality score schematic diagrames according to the preferred embodiment for the present invention；
Fig. 7 is continuous more moment average data quality score schematic diagrames according to the preferred embodiment for the present invention；
Fig. 8 is each moment average deviation power and plan trend qualification rate according to the preferred embodiment for the present invention；
Fig. 9 is the cumulative schematic diagram of circuit effective power flow day deviation according to the preferred embodiment for the present invention；And
Figure 10 is according to the preferred embodiment for the present invention for carrying out reasonable evaluation to bulk power grid plan trend
System construction drawing.
Specific implementation mode
Exemplary embodiments of the present invention are introduced referring now to the drawings, however, the present invention can use many different shapes
Formula is implemented, and is not limited to the embodiment described herein, and to provide these embodiments be to disclose at large and fully
The present invention, and fully convey the scope of the present invention to person of ordinary skill in the field.Show for what is be illustrated in the accompanying drawings
Term in example property embodiment is not limitation of the invention.In the accompanying drawings, identical cells/elements use identical attached
Icon is remembered.
Unless otherwise indicated, term (including scientific and technical terminology) used herein has person of ordinary skill in the field
It is common to understand meaning.Further it will be understood that with the term that usually used dictionary limits, should be understood as and its
The context of related field has consistent meaning, and is not construed as Utopian or too formal meaning.
Fig. 1 is the method for carrying out reasonable evaluation to bulk power grid plan trend according to the preferred embodiment for the present invention
Flow chart.The application embodiment is directed to electric system operation plan a few days ago, it is proposed that a kind of bulk power grid plan trend reasonability
Assessment indicator system solves the problems, such as that the existing Security Checking of operation plan a few days ago method does not consider that plan trend is rational.This
The technical problem to be solved is that a kind of bulk power grid plan trend Rationality Assessment index systems for application.Specifically aiming at
The plan flow data at single plan moment and continuous multiple plan moment establishes serial evaluations index, evaluation plan flow data
Reasonability.Then it is directed to the active and reactive voltage of plan trend respectively as a result, establishing computational accuracy evaluation index, analysis meter
The influence factor for calculating deviation carries out quantitative evaluation to influence factor.
As shown in Figure 1, a kind of method for carrying out reasonable evaluation to bulk power grid plan trend, method include：
Preferably, in step 101：Establish single period running mode data reasonability the first evaluation index set.It is preferred that
Ground, the first evaluation index set include：Unit output and unscheduled power consistency, load are active with predicted value consistency, Fen Sheng
Section effective power flow with point save total exchange plan consistency, line status and the planned failed cluster of repair schedule consistency, unit,
Load has predicted value failed cluster, balance nodes active power, balance nodes reactive power, generator terminal voltage, bus nodes
Voltage, generator PQ node power factors.
Preferably, in step 102：Establish multiple period running mode data reasonability the second evaluation index set.It is preferred that
Ground, the second evaluation index set include：Generator active power variation, the variation of load active power, generator reactive power become
State change is moved back in change, the throwing of reactive load changed power, capacitive reactance device.
Preferably, in step 103：Obtain the data of each evaluation index in the first evaluation index set of any one period
Quality score；Obtain the average data quality score of all evaluation indexes in the first evaluation index set of any one period.
Preferably, in step 104：Obtain the data matter of each evaluation index in the second evaluation index set of multiple periods
Amount scoring；Obtain the average data quality score of all evaluation indexes in the second evaluation index set of multiple periods.
Preferably, in step 105：Average data quality score based on all evaluation indexes in the first evaluation index set
With the average data quality score of all evaluation indexes in the second evaluation index set, the first evaluation index set and second are determined
The ensemble average quality of data of evaluation index set scores.
It is preferably based on the average data quality score of all evaluation indexes and the second evaluation in the first evaluation index set
The average data quality score of all evaluation indexes in index set, determines the first evaluation index set and the second evaluation indice
The ensemble average quality of data of conjunction scores, including：Average data matter based on all evaluation indexes in the first evaluation index set
The average data quality score of all evaluation indexes in amount scoring and the second evaluation index set, and the first evaluation is referred to respectively
The average data quality score of all evaluation indexes and being averaged for all evaluation indexes in the second evaluation index set in mark set
Different weights is arranged in quality of data scoring, determines the ensemble average number of the first evaluation index set and the second evaluation index set
According to quality score.
Preferably, the scoring of the ensemble average quality of data is higher, and bulk power grid plan trend plan reasonability is higher.
A kind of bulk power grid plan trend Rationality Assessment index system of the application, includes the following steps：
1) single period running mode data Rationality Assessment；
2) multiple period running mode data quality evaluations；
3) operation plan running mode data Rationality Assessment system；
4) plan the active accuracy evaluation of trend；
5) plan trend reactive voltage accuracy evaluation.
The single period running mode data Rationality Assessment of step 1), the operation to some plan moment of operation plan
Mode data carry out quality testing, and evaluation result reflects the quality of data quality at plan moment.
The single period running mode data Rationality Assessment of step 1), for the operation plan method of operation of single period
Data, from plan power flow solutions and planned value consistency, topological reasonability, effective power flow reasonability, idle and voltage reasonable
Four aspects are evaluated, and establish evaluation index.
The single period running mode data Rationality Assessment of step 1) plans the finger of power flow solutions and planned value consistency
Mark includes：Unit output and unscheduled power consistency, load it is active with predicted value consistency, point save section effective power flow and Fen Sheng
Total exchange plan consistency, line status and repair schedule consistency.Detailed index explanation, index calculation formula and standards of grading
It is as follows：
The single period running mode data Rationality Assessment of step 1), the rational index of topology include：Unit has meter
Drawing failed cluster, load has predicted value failed cluster, detailed index explanation, index calculation formula and standards of grading as follows：
The single period running mode data Rationality Assessment of step 1), the rational index of effective power flow include：Balance
Node active power is out-of-limit, and detailed index explanation, index calculation formula and standards of grading are as follows：
The single period running mode data Rationality Assessment of step 1), the rational index of reactive voltage include：Balance
Node reactive power is out-of-limit, generator terminal voltage is out-of-limit, bus nodes voltage out-of-limit, generator PQ node power factors are reasonable
Property, detailed index explanation, index calculation formula and standards of grading are as follows：
Multiple period running mode data quality evaluations of step 2), evaluation result be capable of the current of reflected appraisal object with
The level of aggregation of history can utilize management and running rule and operation plan temporal aspect, more fully evaluate operation plan fortune
The reasonability of line mode
Multiple period running mode data quality evaluations of step 2), for the operation plan method of operation number of multiple periods
According to from generator active power variation is unreasonable, the variation of load active power is unreasonable, generator reactive power variation does not conform to
Reason, reactive load changed power are unreasonable, capacitive reactance device throwing is moved back unreasonable five aspect of state change and evaluated, and establishes evaluation and refer to
Mark, detailed index explanation, index calculation formula and standards of grading are as follows：
The operation plan running mode data Rationality Assessment system of step 3) is run for the operation plan of single period
Mode data, 11 indexs established according to step 1)ExtremelyAfter carrying out quality testing, being averaged for the period is sought
The quality of data scores, and is converted by full marks 100, and the quality of data scoring of i-th of period is obtainedCalculation formula
It is as follows：
In formulaIndicate the single period evaluation index of the jth item of i-th of period, 110 be the full marks before conversion.
The operation plan running mode data Rationality Assessment system of step 3), for the operation plan operation side of 96 periods
Formula data calculate average ratings indexCalculation formula is as follows：
The operation plan running mode data Rationality Assessment system of step 3), sets single period data quality scoreThreshold value be 95, then can count the operation plan running mode data quality pass rate of 96 periods
The operation plan running mode data Rationality Assessment system of step 3), for the operation plan of continuous multiple periods
Running mode data, 5 indexs established according to step 2)ExtremelyAfter carrying out quality testing, average data is sought
Quality score, and converted by full marks 100, obtain the quality of data scoring of multi-period angleCalculation formula is as follows：
The operation plan running mode data Rationality Assessment system of step 3), considers single period management and running side
Formula data reasonability, multiple period dispatching running way data reasonability are rightIt is weighted average, entirety
On establish average data quality score index CR, calculation formula is as follows：
Rule of thumb λ1Take 0.7, λ2Take 0.3.
The operation plan running mode data Rationality Assessment system of step 3) can use average data quality score index
CRWith the operation plan running mode data quality pass rate of 96 periodsTwo indices are evaluated, average data
Quality score index and data quality pass rate are higher, then operation plan running mode data reasonability is higher.
The active accuracy evaluation of plan trend of step 4), the effective power flow of operation plan running mode data includes circuit
Effective power flow, generator and load active power, AC line active power, transformer active power, point province's section active power.
The active accuracy evaluation of plan trend of step 4), the circuit effective power flow planned in power flow solutions are generated electricity, are born
The influence of the various operation plan factors such as lotus, AC line, point province's section.Therefore, emphasis assesses meter in terms of circuit effective power flow
Draw the computational accuracy of trend.
The active accuracy evaluation of plan trend of step 4), after operation plan day occurs, by running operation plan
The operation of power networks metric data of mode data and corresponding date of enterprise is compared, and is commented the plan active accuracy of trend
Estimate.
Fig. 3 is the circuit effective power flow deviation calculation flow chart according to the preferred embodiment for the present invention, as shown in Figure 3：
The active accuracy evaluation of plan trend of step 4) compares circuit meter for every circuit i of each plan period
Draw trend active powerActive power is measured with circuitCount circuit plan trend deviation powerStatistics
Formula is as follows：
The active accuracy evaluation of plan trend of step 4) sets Line Flow deviation door for different voltage class
Threshold value, the circuit that effective power flow deviation is less than threshold value think that precision qualification, effective power flow deviation are set as 0.220kV or less
Circuit without effective power flow computational accuracy count.Plan trend deviation powerBigger circuit, it is accurate to calculate
Property is poorer.
The active accuracy evaluation of plan trend of step 4) sets Line Flow deviation door for different voltage class
Threshold value, each voltage class effective power flow deviation threshold value such as following table：
The active accuracy evaluation of plan trend of step 4) counts circuit effective power flow qualification rate for plan period j
PercLFj, calculate average every off-course deviation powerCalculation formula is as follows：
The active accuracy evaluation of plan trend of step 4) compares the effective power flow qualification rate Perc of different periodsLFjAnd line
The active deviation power in roadThe effective power flow computational accuracy that different periods can be assessed finds out essence in corresponding plan day
Spend poor plan moment section.
The active accuracy evaluation of plan trend of step 4), for 96 operation plan periods, 96 periods of calculating averagely close
Lattice rate PercLFAvgWith 96 period average deviation powerCalculation formula is as follows：
The active accuracy evaluation of plan trend of step 4), 96 period average deviation powerIt is flat with 96 periods
Equal qualification rate PercLFAvgReflection is the corresponding overall accuracy for planning daily dispatch scheduling method of operation effective power flow, average inclined
Poor power is smaller, average qualification rate is higher, and the accuracy of effective power flow is higher.
The active accuracy evaluation of plan trend of step 4), for circuit i, the effective power flow that can count its 96 period is inclined
It is poor always to addCalculation formula is as follows：
The active accuracy evaluation of plan trend of step 4), the effective power flow deviation for comparing different circuits always addIt can
To find out the line set of corresponding plan day effective power flow error most serious.
The plan trend reactive voltage accuracy evaluation of step 5), the calculating accuracy of node voltage depend primarily on node
Whether the accuracy and voltage control targe of reactive power setting are correct.Plan trend node voltage knot is paid close attention to thus
The accuracy of fruit.
The plan trend reactive voltage accuracy evaluation of step 5), after operation plan day occurs, by by operation plan
The operation of power networks metric data of running mode data and corresponding date of enterprise is compared, to planning the node voltage of power flow solutions
Accuracy is assessed.
Fig. 4 is the voltage deviation calculation flow chart according to the preferred embodiment for the present invention, as shown in Figure 4：
The plan trend reactive voltage accuracy evaluation of step 5), it is right for each topological node i of each plan period
Compare node voltageVoltage is measured with nodeCount node voltage deviationStatistical formula is as follows：
The plan trend reactive voltage accuracy evaluation of step 5), is counted according to perunit threshold voltage, setting node electricity
Deviation threshold value 0.05, the node that node voltage deviation is less than threshold value is pressed to think that precision qualification, voltage deviation are set as 0.
Plan voltage deviation in trendBigger node, computational accuracy are poorer.
The plan trend reactive voltage accuracy evaluation of step 5) counts node voltage qualification rate for plan period j
PercVj, calculate per node on average voltage deviationCalculation formula is as follows：
The trend node voltage of the plan trend reactive voltage accuracy evaluation of step 5), contrast potential different periods is qualified
Rate PercVjWith node voltage average deviationThe voltage computational accuracy that different periods can be assessed finds out corresponding plan day
The poor plan moment section of middle voltage computational accuracy.
It is flat to calculate for 96 periods for 96 operation plan periods for the plan trend reactive voltage accuracy evaluation of step 5)
Equal qualification rate PercVAvgWith 96 period average deviation voltagesCalculation formula is as follows：
The plan trend reactive voltage accuracy evaluation of step 5), 96 period average voltage deviationsIt is flat with 96 periods
Equal qualification rate PercVAvgReflection is the corresponding overall accuracy for planning daily dispatch scheduling method of operation tidal current voltage, average electricity
Pressure deviation is smaller, average qualification rate is higher, and the accuracy of voltage is higher.
The plan trend reactive voltage accuracy evaluation of step 5) can count the electricity of its 96 period for bus nodes i
Pressure deviation always addsCalculation formula is as follows：
The plan trend reactive voltage accuracy evaluation of step 5), the voltage deviation for comparing different bus nodes always addThe node set of corresponding plan day voltage error most serious can be found out.
The application embodiment is directed to electric system operation plan a few days ago, it is proposed that a kind of bulk power grid plan trend reasonability
Assessment indicator system solves the problems, such as that the existing Security Checking of operation plan a few days ago method does not consider that plan trend is rational, has
Following advantages：
1) single period running mode data Rationality Assessment result can reflect the quality of data quality at the plan moment.
2) multiple period running mode data quality evaluation results are capable of the synthesis of the current and history of reflected appraisal object
Level can utilize management and running rule and operation plan temporal aspect, more fully evaluate the conjunction of the operation plan method of operation
Rationality.
3) two fingers of average data quality score index and the operation plan running mode data quality pass rate of 96 periods
Mark can carry out overall merit, average data quality score index and the quality of data to operation plan running mode data reasonability
Qualification rate is higher, then operation plan running mode data reasonability is higher.
4) effective power flow qualification rate and the active deviation power of circuit can assess the effective power flow computational accuracy of different periods,
Find out the plan moment section that precision is poor in corresponding plan day.
5) 96 period average deviation power and 96 period average qualification rates can reflect corresponding plan daily dispatch scheduling operation
The overall accuracy of mode effective power flow, average deviation power is smaller, average qualification rate is higher, and the accuracy of effective power flow is got over
It is high.
6) always added by comparing the effective power flow deviation of different circuits, corresponding plan day effective power flow error can be found out most
Serious line set.
7) trend node voltage qualification rate and node voltage average deviation can assess the voltage computational accuracy of different periods,
Find out the plan moment section that voltage computational accuracy is poor in corresponding plan day.
8) 96 period average voltage deviations and 96 period average qualification rates can reflect corresponding plan daily dispatch scheduling operation
The overall accuracy of mode tidal current voltage, average voltage deviations are smaller, average qualification rate is higher, and the accuracy of voltage is higher.
9) corresponding plan day voltage error most serious can be found out by always being added by the voltage deviation of the different bus nodes of comparison
Node set.
The application specific implementation mode is illustrated below：
Carry out application verification by taking the real data of Central China Power Grid in September, 2015 one day as an example, calculate node 6014,
220kV and Above Transmission Lines 3208.
Rationality Assessment is carried out to plan flow data first.Plan flow data Rationality Assessment side according to the single moment
It is as shown in Figure 5 to calculate 96 moment of each index average data quality score for method.It can be seen that the scoring of unit planned failed cluster compared with
It is low, check that the discovery of index evaluation detail has a large amount of new energy units and small power station's unit failed cluster due to electric network model mistake.
96 each moment average data quality scores are calculated as shown in fig. 6, wherein 9:30—10:30 period project flow datas
It is second-rate, through analysis the reason is that the generation schedule saved this period, load prediction and point province's section plan are uneven, plan
The generator output for balancing a group of planes is adjusted in order to control point province's section tidal current in Load flow calculation, engine is resulted in and goes out
Power is inconsistent with generation schedule.
Plan flow data Rationality Assessment methods according to continuous multiple moment, calculate each evaluation index as shown in fig. 7, its
Middle generator reactive change indicator scoring is relatively low.
By only being compared with power grid actual operating data, assessment plan Load flow calculation accuracy.Count the circuit at 96 moment
Active average deviation power and plan of single moment trend qualification rate are as shown in Figure 8, it can be seen that the same day plan in trend precision compared with
The plan moment section of difference is 9:30-10:30, it is consistent with the section that each moment average data in Fig. 6 is second-rate.
The effective power flow deviation for counting each circuit active 96 moment of whole day always addsListed in Fig. 9 deviation always plus compared with
Several big circuits, the as line set of same day effective power flow deviation most serious, need to pay close attention to.
Figure 10 is according to the preferred embodiment for the present invention for carrying out reasonable evaluation system to bulk power grid plan trend
System structure chart.As shown in Figure 10, a kind of system for carrying out reasonable evaluation to bulk power grid plan trend, system include：
First establishing unit 1001, for establishing single period running mode data reasonability the first evaluation index set.
Preferably, the first evaluation index set includes：Unit output and unscheduled power consistency, load it is active with predicted value consistency,
Divide and saves section effective power flow and divide the total exchange plan consistency of province, line status and repair schedule consistency, unit planned not
Networking, load have predicted value failed cluster, balance nodes active power, balance nodes reactive power, generator terminal voltage, busbar
Node voltage, generator PQ node power factors.
Second establishes unit 1002, for establishing multiple period running mode data reasonability the second evaluation index set.
Preferably, the second evaluation index set includes：Generator active power variation, the variation of load active power, generator reactive work(
State change is moved back in rate variation, the throwing of reactive load changed power, capacitive reactance device.
First acquisition unit 1003, each evaluation index in the first evaluation index set for obtaining any one period
The quality of data scores；The average data quality for obtaining all evaluation indexes in the first evaluation index set of any one period is commented
Point.
Second acquisition unit 1004, the number of each evaluation index in the second evaluation index set for obtaining multiple periods
According to quality score；Obtain the average data quality score of all evaluation indexes in the second evaluation index set of multiple periods.
Score unit 1005, is used for the average data quality score based on all evaluation indexes in the first evaluation index set
With the average data quality score of all evaluation indexes in the second evaluation index set, the first evaluation index set and second are determined
The ensemble average quality of data of evaluation index set scores.
Preferably, scoring unit 1005 is used for：Average data based on all evaluation indexes in the first evaluation index set
The average data quality score of all evaluation indexes, determines the first evaluation indice in quality score and the second evaluation index set
It closes and the ensemble average quality of data of the second evaluation index set scores, including：
Average data quality score and the second evaluation indice based on all evaluation indexes in the first evaluation index set
The average data quality score of all evaluation indexes in conjunction, and respectively to all evaluation indexes in the first evaluation index set
The average data quality score of all evaluation indexes is arranged different in average data quality score and the second evaluation index set
Weight determines the ensemble average quality of data scoring of the first evaluation index set and the second evaluation index set.
Preferably, scoring unit 1005 is used for：The scoring of the ensemble average quality of data is higher, and bulk power grid plan trend plan is closed
Rationality is higher.
The system 10 and this hair for carrying out reasonable evaluation to bulk power grid plan trend of the preferred embodiment for the present invention
Bright preferred embodiment for bulk power grid plan trend carry out reasonable evaluation method 100 it is corresponding, herein no longer into
Row repeats.
The present invention is described by reference to a small amount of embodiment.However, it is known in those skilled in the art, as
Defined by subsidiary Patent right requirement, in addition to the present invention other embodiments disclosed above are equally fallen the present invention's
In range.
Normally, all terms used in the claims are all solved according to them in the common meaning of technical field
It releases, unless in addition clearly being defined wherein.All references " one/described/be somebody's turn to do [device, component etc.] " are all opened ground
It is construed at least one of described device, component etc. example, unless otherwise expressly specified.Any method disclosed herein
Step need not all be run with disclosed accurate sequence, unless explicitly stated otherwise.
Claims (10)
1. a kind of method for carrying out reasonable evaluation to bulk power grid plan trend, the method includes：
Establish single period running mode data reasonability the first evaluation index set；
Establish multiple period running mode data reasonability the second evaluation index set；
Obtain the quality of data scoring of each evaluation index in the first evaluation index set of any one period；It obtains arbitrary
The average data quality score of all evaluation indexes in the first evaluation index set of one period；
Obtain the quality of data scoring of each evaluation index in the second evaluation index set of the multiple period；It obtains more
The average data quality score of all evaluation indexes in the second evaluation index set of a period；
Average data quality score and second evaluation based on all evaluation indexes in the first evaluation index set refer to
The average data quality score of all evaluation indexes in mark set determines the first evaluation index set and second evaluation
The ensemble average quality of data of index set scores.
2. according to the method described in claim 1, the first evaluation index set includes：
Unit output and unscheduled power consistency, load it is active with predicted value consistency, point save section effective power flow with point save it is total
Exchange plan consistency, line status and the planned failed cluster of repair schedule consistency, unit, load have predicted value failed cluster,
Balance nodes active power, balance nodes reactive power, generator terminal voltage, bus nodes voltage, generator PQ node work(
Rate factor.
3. according to the method described in claim 1, the second evaluation index set includes：
Generator active power variation, the variation of load active power, generator reactive power variation, reactive load changed power,
State change is moved back in capacitive reactance device throwing.
4. according to the method described in claim 1, it is described based in the first evaluation index set all evaluation indexes it is flat
The average data quality score of all evaluation indexes in equal data quality score and the second evaluation index set, determine described in
The ensemble average quality of data of first evaluation index set and the second evaluation index set scores, including：
Average data quality score and second evaluation based on all evaluation indexes in the first evaluation index set refer to
The average data quality score of all evaluation indexes in mark set, and comment respectively all in the first evaluation index set
The average data quality of all evaluation indexes is commented in the average data quality score of valence index and the second evaluation index set
Set up separately and set different weights, determines the ensemble average data of the first evaluation index set and the second evaluation index set
Quality score.
5. higher, the bulk power grid plan trend according to the method described in claim 1, the ensemble average quality of data scores
It is higher to plan reasonability.
6. a kind of system for carrying out reasonable evaluation to bulk power grid plan trend, the system comprises：
First establishing unit, for establishing single period running mode data reasonability the first evaluation index set；
Second establishes unit, for establishing multiple period running mode data reasonability the second evaluation index set；
First acquisition unit, the data of each evaluation index in the first evaluation index set for obtaining any one period
Quality score；The average data quality for obtaining all evaluation indexes in the first evaluation index set of any one period is commented
Point；
Second acquisition unit, the number of each evaluation index in the second evaluation index set for obtaining the multiple period
According to quality score；The average data quality for obtaining all evaluation indexes in the second evaluation index set of multiple periods is commented
Point；
Score unit, is used for the average data quality score based on all evaluation indexes in the first evaluation index set and institute
The average data quality score for stating all evaluation indexes in the second evaluation index set, determine the first evaluation index set and
The ensemble average quality of data of the second evaluation index set scores.
7. system according to claim 6, the first evaluation index set include：
Unit output and unscheduled power consistency, load it is active with predicted value consistency, point save section effective power flow with point save it is total
Exchange plan consistency, line status and the planned failed cluster of repair schedule consistency, unit, load have predicted value failed cluster,
Balance nodes active power, balance nodes reactive power, generator terminal voltage, bus nodes voltage, generator PQ node work(
Rate factor.
8. system according to claim 6, the second evaluation index set include：
Generator active power variation, the variation of load active power, generator reactive power variation, reactive load changed power,
State change is moved back in capacitive reactance device throwing.
9. system according to claim 6, the scoring unit is used for：Based on all in the first evaluation index set
The average data quality of all evaluation indexes in the average data quality score of evaluation index and the second evaluation index set
Scoring determines the ensemble average quality of data scoring of the first evaluation index set and the second evaluation index set, packet
It includes：
Average data quality score and second evaluation based on all evaluation indexes in the first evaluation index set refer to
The average data quality score of all evaluation indexes in mark set, and comment respectively all in the first evaluation index set
The average data quality of all evaluation indexes is commented in the average data quality score of valence index and the second evaluation index set
Set up separately and set different weights, determines the ensemble average data of the first evaluation index set and the second evaluation index set
Quality score.
10. system according to claim 6, the scoring unit is used for：The ensemble average quality of data scoring is higher,
The bulk power grid plan trend plan reasonability is higher.
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