CN104090166B - A kind of power network line on-line parameter identification method for considering the big error dot of state estimation - Google Patents
A kind of power network line on-line parameter identification method for considering the big error dot of state estimation Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 230000010354 integration Effects 0.000 claims abstract description 8
- 238000005259 measurement Methods 0.000 claims description 20
- 238000011156 evaluation Methods 0.000 claims description 12
- 238000006467 substitution reaction Methods 0.000 claims description 2
- 238000005303 weighing Methods 0.000 claims description 2
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- 238000009825 accumulation Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 4
- 241000208340 Araliaceae Species 0.000 description 3
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 3
- 235000003140 Panax quinquefolius Nutrition 0.000 description 3
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Abstract
The present invention relates to a kind of power network line on-line parameter identification method for considering the big error dot of state estimation, belong to technical field of electric power system control；This method includes：Utilization state calculates the state estimation of circuit measuring point, and obtains the measuring value of circuit measuring point and the deviation of state estimation；The measuring point that deviation is more than to the threshold value of setting is defined as measuring big error dot, and the circuit corresponding to the measuring point is set to suspicious circuit；Whether balanced as criterion with the data accumulation value that the bus all devices of circuit two ends metric data and connection are measured, recognize suspicious circuit and whether there is metric data mistake.For the normal circuit of wherein metric data, according to the deviation of measuring value and state estimation, line parameter circuit value is altered in steps using variable step integration method, estimate after parameter is changed using obtaining；Wherein measuring value and the minimum parameter of estimate deviation are set to the estimation parameter of circuit.It the method increase the accuracy of line parameter circuit value estimation.
Description
Technical field
The invention belongs to technical field of electric power system control, more particularly to a kind of power network for considering the big error dot of state estimation
Line parameter circuit value on-line identification method.
Background technology
The on-line running of intelligent grid supporting system technology " regulation and control integration " senior application, to operation of power networks basis
The quality of data proposes higher and higher requirement.Further to strengthen basic data management, basic data quality, each power network are improved
State estimation qualification rate index is included each net provincial company business manager fellow peers' evaluation and examined by company.In actual motion,
Grid measurement data is numerous, and electric network model, parameter and the correctness of measurement have together decided on the operating index of state estimation.How
From the electric network data of magnanimity, the inaccurate equipment of parameter is effectively picked out, dispatching automation basic data quality and shape is improved
State estimates qualification rate, it has also become the bottleneck problem that restriction supporting system technology application level is further improved.
The content of the invention
The purpose of the present invention is that proposition is a kind of to consider shape further to improve dispatching of power netwoks technology support system application level
State estimates the power network line on-line parameter identification method of big error dot, the method increase the accuracy of line parameter circuit value estimation.
The power network line on-line parameter identification method proposed by the present invention for considering the big error dot of state estimation, its feature exists
In this method includes：Utilization state calculates the state estimation of circuit measuring point, and obtains the measurement of circuit measuring point
The deviation of value and state estimation；The measuring point that deviation is more than to the threshold value of setting is defined as measuring big error dot, the measuring point
Corresponding circuit is set to suspicious circuit；Whether the bus all devices amount with connection is balanced with circuit two ends metric data
Whether the data accumulation value of survey is balanced as criterion, is recognized suspicious circuit and be whether there is metric data mistake.For wherein measuring number
According to normal circuit, according to the deviation of measuring value and state estimation, line parameter circuit value is altered in steps using variable step integration method, profit
Calculated to obtain with state estimation and change estimate after parameter；Wherein measuring value and the minimum parameter of estimate deviation are set to circuit
Estimation parameter.
The power network line on-line parameter identification method proposed by the present invention for considering the big error dot of state estimation, its advantage is such as
Under：
1st, in power network line on-line parameter identification method proposed by the present invention, identification process considers state estimation result of calculation
In big error dot, parameter Estimation calculates the electrical network parameter obtained and advantageously reduces the big error dot of state estimation, so as to improve
State estimation qualification rate.
2nd, the inventive method has taken into full account the influence of error in measurement, and combined circuit two ends measure balance, bus measurement and put down
Situations such as weighing apparatus, discriminate whether that amount sniffing is missed；Only parameter Estimation is carried out to measuring correct circuit, it is to avoid error in measurement pair
Estimate the influence of identification result.
3rd, the present invention uses variable step integration method, by Parameters variation step-length amendment, line parameter circuit value is altered in steps, passes through shape
State estimation calculates the result of calculation for obtaining and changing after parameter.Parameter estimation result make it that measuring value and estimate deviation are minimum, carries
The high accuracy of line parameter circuit value estimation.
Brief description of the drawings
Fig. 1 is the FB(flow block) of the inventive method.
Embodiment
It is proposed by the present invention consider the big error dot of state estimation power network line on-line parameter identification method combination accompanying drawing and
Implement
Example describes in detail as follows：
The power network line on-line parameter identification method proposed by the present invention for considering the big error dot of state estimation, its flow is as schemed
Shown in 1, comprise the following steps：1) utilization state calculates the state estimation of circuit measuring point, and obtains circuit measurement
The metric data of point and the deviation of state estimation；The measuring point that deviation is more than to the threshold value of setting is defined as measuring big error
Point, the circuit corresponding to the measuring point is set to suspicious circuit；Specific implementation step is as follows：
11) measuring value of measuring point and the deviation Se of state estimation are definederrAs shown in formula (1)：
In formula (1), PmeasRepresent the measuring value of a measuring point of some circuit；PseRepresent the state estimation of the measuring point
Value；VbaseRepresent a reference value, VbaseIt is related to the voltage class where circuit, shown in such as table (1)：
Table (1)
| Voltage class (kilovolt) | A reference value |
| 1000 | 5196 |
| 750 | 2598 |
| 500 | 1082 |
| 330 | 686 |
| 220 | 305 |
| 110 | 114 |
12) whether it is big error dot according to the different threshold decision measuring points of metric data type set：
When metric data is active metric data, the threshold value set is 2%, as deviation Seerr>2%, the then measuring point
For big error dot；
When metric data is idle metric data, the threshold value set is 3%, as deviation Seerr>3%, the then measuring point
For big error dot；
There will be the corresponding whole circuit settings of big error dot for suspicious sets of lines；
2) to each suspicious circuit, whether balanced with circuit two ends metric data with whether place bus metric data puts down
Weigh as criterion, judge whether the circuit metric data is wrong；The measurement of uneven or bus is surveyed when suspicious circuit has first and last looking somebody up and down
When uneven, the line facility is saved in metric data non-conforming equipment table, without parameter Estimation, otherwise goes to step 3) to enter
Row parameter Estimation；
Specific implementation step is as follows：
21) judge whether circuit first and last end metric data balances：
Calculate the looking somebody up and down of circuit first and last and survey data deviation：
In formula (2), MhFor circuit head end measuring value, MtFor line end measuring value.When metric data is active metric data
When, Mbias>2%, it is set to first and last looking somebody up and down measured value uneven；When metric data is idle metric data, Mbias>3%, it is set to first
End measuring value is uneven；
22) whether bus metric data where judging circuit balances：
Calculate bus metric data deviation where circuit：
Wherein MiRepresent the equipment measuring value being connected with bus；
When metric data is active metric data, Bsbias>2%, it is set to bus metric data uneven；When measurement number
During according to for idle metric data, Bsbias>3%, it is set to bus metric data uneven；
23) there will be first and last looking somebody up and down survey data nonbalance or the unbalanced suspicious line facility of bus metric data is saved in
Metric data non-conforming equipment table, without parameter Estimation；Otherwise go to step 3)；
3) unbalanced suspicious circuit progress parameter Estimation calculating is measured to surveying uneven and bus in the absence of first and last looking somebody up and down
Estimates of parameters is obtained, to complete on-line identification；Specific implementation step is as follows：
31) T is setcountFor parameter prediction number of times (being usually 5-6), initial value is 1；
32) the suspicious active and reactive estimated data in circuit first and last end and metric data are obtained, the suspicious big error of circuit is obtained
Point initial number Et；
33) deviation of the active and reactive metric data of suspicious circuit is calculated, line resistance, reactance regulation coefficient is determined：
Calculate the active metric data deviation LnP of suspicious circuiterr：
Calculate the idle metric data deviation LnQ of suspicious circuiterr：
In formula (4), PhmFor the active measuring value of circuit head end, PhseFor the active estimate of circuit head end, PtmFor line end
Active measuring value, PtseFor the active estimate of line end；
In formula (5), QhmFor the idle measuring value of circuit head end, QhseFor the idle estimate of circuit head end, QtmFor line end
Idle measuring value, QtseFor the idle estimate of line end；
When the big error dot of measurement that suspicious circuit is present is active big error dot, line reactance regulation coefficient is calculated
Pdire：
Work as Phm>PhseWhen, set Pdire=-1；
Work as Phm<PhseWhen, set Pdire=1；
When the big error dot of measurement that suspicious circuit is present is idle big error dot, line resistance regulation coefficient is calculated
Qdire：
Work as Qhm>QhseWhen, set Qdire=-1；
Work as Qhm<QhseWhen, set Qdire=1；
34) when the big error dot of measurement that suspicious circuit is present is active big error dot, using variable step integration method, ginseng is passed through
Line reactance parameter is altered in steps in number change step amendment regulation coefficient, is calculated by state estimation and obtains the ginseng changed after parameter
Number estimation evaluation index selects optimal estimates of parameters, realizes the on-line identification of line reactance parameter.Comprise the following steps that：
34-1) setup parameter adjustment initial step length Tstep(by parameter setting, it is defaulted as 0.05), setting circuit estimates electricity
It is anti-
X*=X, X are line reactance initial value；
34-2) calculate suspicious line reactance adjustment amount：Δ X=X × (Tstep×Pdire) (6)
34-3) setting circuit estimates reactance X*=X*+ Δ X, uses X*The line reactance parameter is substituted, state estimation meter is carried out
Calculate；Correct Tcount=Tcount+1；
34-4) utilize step 33) suspicious line resistance, reactance regulation coefficient are calculated again；Work as PdireIt is inconsistent with last time
When, Tstep=Tstep×0.5；If PdireWhen consistent with last time, TstepKeep constant；
34-5) obtain and estimate X*State estimation after replacement measures big error dot quantity E* t, calculate the ginseng after precompensation parameter
Number estimation evaluation index SeVerr=E* t+LnPerr+LnQerr；Reactance X will be estimated*And parameter Estimation evaluation index
SeVerrAnd E* tIt is saved in line parameter circuit value estimation assessment table；
34-6) repeat 34-2) arrive 34-5) step calculating；Until TcountReach preset value；
34-7) E is met in access line parameter Estimation assessment table* t<EtAnd SeVerrMinimum estimates reactance X*It is used as circuit
Parameter reactance estimate, realizes the on-line identification of line reactance parameter；If it is not satisfied, being then set to estimate；
35) when suspicious circuit has idle big error dot and qualified active measurement, using variable step integration method, adjustment is passed through
Line resistance parameter is altered in steps in index variation step-length amendment, is calculated by state estimation and obtains the parameter Estimation changed after parameter
Evaluation index selects optimal estimates of parameters, realizes the on-line identification of line resistance parameter；Comprise the following steps that：
35-1) setup parameter adjustment initial step length Tstep(by parameter setting, it is defaulted as 0.05), line electricity is estimated in setting
Hinder R*=R, R are line resistance initial value；
35-2) calculate suspicious line resistance adjustment amount：Δ R=R × (Tstep×Pdire) (7)
35-3) line resistance R is estimated in setting*=R*+ Δ R, uses R*Alternate route resistance parameter, carries out state estimation calculating；
Correct Tcount=Tcount+1；
35-4) utilize step 33) calculate line resistance, reactance regulation coefficient.Work as QdireWith last time it is inconsistent when, Tstep=
Tstep×0.5；Work as QdireWhen consistent with last time, TstepKeep constant；
35-5) obtain and estimate R*State estimation after substitution measures big error dot quantity E* t, calculate commenting after precompensation parameter
Valency index S eVerr=E* t+LnPerr+LnQerr；Resistance R will be estimated*And evaluation index SeVerrIt is saved in line parameter circuit value estimation assessment
Table；
35-6) repeat 35-2) arrive 35-5) step calculating.Until TcountPreset value is reached, usually 5-6；
35-7) E is met in access line parameter Estimation assessment table* t<EtAnd SeVerrMinimum estimates resistance R*It is used as parameter
Estimate resistance R*, realize the on-line identification of line resistance parameter；If it is not satisfied, being then set to estimate.
Claims (3)
1. a kind of power network line on-line parameter identification method for considering the big error dot of state estimation, it is characterised in that
This method specifically includes following steps：
1) utilization state calculates the state estimation of circuit measuring point, and obtains the metric data and shape of circuit measuring point
The deviation of state estimate；The measuring point that deviation is more than to the threshold value of setting is defined as measuring big error dot, corresponding to the measuring point
Circuit be set to suspicious circuit；
2) to each suspicious circuit, it is so that whether circuit two ends metric data is balanced with whether place bus metric data balances
Criterion, judges whether the circuit metric data is wrong；Uneven or bus measurement injustice is surveyed when suspicious circuit has first and last looking somebody up and down
During weighing apparatus, the line facility is saved in metric data non-conforming equipment table, without parameter Estimation, otherwise goes to step and 3) is joined
Number estimation；
3) obtained to being calculated in the absence of the unbalanced suspicious circuit progress parameter Estimation of first and last looking somebody up and down survey imbalance and bus measurement
Estimates of parameters, to complete on-line identification；
Specifically include following steps：
31) T is setcountFor parameter prediction number of times, initial value is 1；
32) the suspicious active and reactive estimated data in circuit first and last end and metric data are obtained, at the beginning of obtaining the suspicious big error dot of circuit
Beginning quantity Et；
33) deviation of the active and reactive metric data of suspicious circuit is calculated, line resistance, reactance regulation coefficient is determined：Calculating can
Doubt the active metric data deviation LnP of circuiterr：
Calculate the idle metric data deviation LnQ of suspicious circuiterr：
In formula (4), PhmFor the active measuring value of circuit head end, PhseFor the active estimate of circuit head end, PtmFor the active amount of line end
Measured value, PtseFor the active estimate of line end；
In formula (5), VbaseRepresent a reference value, QhmFor the idle measuring value of circuit head end, QhseFor the idle estimate of circuit head end, Qtm
For the idle measuring value of line end, QtseFor the idle estimate of line end；
When the big error dot of measurement that suspicious circuit is present is active big error dot, line reactance regulation coefficient P is calculateddire：
Work as Phm>PhseWhen, set Pdire=-1；
Work as Phm<PhseWhen, set Pdire=1；
When the big error dot of measurement that suspicious circuit is present is idle big error dot, line resistance regulation coefficient Q is calculateddire：
Work as Qhm>QhseWhen, set Qdire=-1；
Work as Qhm<QhseWhen, set Qdire=1；
34) when the big error dot of measurement that suspicious circuit is present is active big error dot, using variable step integration method, become by parameter
Change step-length amendment regulation coefficient and line reactance parameter is altered in steps, the parameter obtained after change parameter is calculated by state estimation and is estimated
Count evaluation index and select optimal estimates of parameters, realize the on-line identification of line reactance parameter；
35) when suspicious circuit has idle big error dot and qualified active measurement, using variable step integration method, regulation coefficient is passed through
Line resistance parameter is altered in steps in change step amendment, is calculated by state estimation and obtains the parameter Estimation evaluation changed after parameter
Index selects optimal estimates of parameters, realizes the on-line identification of line resistance parameter；
The step 34) specifically include following steps：
34-1) setup parameter adjustment initial step length Tstep, set circuit and estimate reactance X*=X, X are line reactance initial value；
34-2) calculate suspicious line reactance adjustment amount：Δ X=X × (Tstep×Pdire) (6)
34-3) setting circuit estimates reactance X*=X*+ Δ X, uses X*The line reactance parameter is substituted, state estimation calculating is carried out；Repair
Positive Tcount=Tcount+1；
34-4) utilize step 33) suspicious line resistance, reactance regulation coefficient are calculated again；Work as PdireWith last time it is inconsistent when,
Tstep=Tstep×0.5；If PdireWhen consistent with last time, TstepKeep constant；
34-5) obtain circuit and estimate reactance X*State estimation after replacement measures big error dot quantity E* t, calculate after precompensation parameter
Parameter Estimation evaluation index SeVerr=E* t+LnPerr+LnQerr；Circuit is estimated into reactance X*And parameter Estimation evaluation index
SeVerrAnd E* tIt is saved in line parameter circuit value estimation assessment table；
34-6) repeat 34-2) arrive 34-5) step calculating；Until TcountReach preset value；
34-7) E is met in access line parameter Estimation assessment table* t<EtAnd SeVerrMinimum circuit estimates reactance X*It is used as circuit
Parameter reactance estimate, realizes the on-line identification of line reactance parameter, EtFor the big error dot initial number of suspicious circuit；If discontented
Foot, then be set to estimate；
The step 35) comprise the following steps that：
35-1) setup parameter adjustment initial step length Tstep, set and estimate line resistance R*=R, R are line resistance initial value；
35-2) calculate suspicious line resistance adjustment amount：Δ R=R × (Tstep×Qdire) (7)
35-3) line resistance R is estimated in setting*=R*+ Δ R, uses R*Alternate route resistance parameter, carries out state estimation calculating；Amendment
Tcount=Tcount+1；
35-4) utilize step 33) calculate line resistance, reactance regulation coefficient；Work as QdireWith last time it is inconsistent when, Tstep=Tstep
×0.5；Work as QdireWhen consistent with last time, TstepKeep constant；
35-5) obtain and estimate R*State estimation after substitution measures big error dot quantity E* t, calculate the evaluation after precompensation parameter and refer to
Mark SeVerr=E* t+LnPerr+LnQerr；Resistance R will be estimated*And evaluation index SeVerrIt is saved in line parameter circuit value estimation assessment table；
35-6) repeat 35-2) arrive 35-5) step calculating；Until TcountReach preset value；
35-7) E is met in access line parameter Estimation assessment table* t<EtAnd SeVerrMinimum estimates resistance R*It is used as parameter Estimation
Resistance R*, realize the on-line identification of line resistance parameter；If it is not satisfied, being then set to estimate.
2. method as claimed in claim 1, it is characterised in that the step 1) specifically include following steps：
11) measuring value of measuring point and the deviation Se of state estimation are definederrAs shown in formula (1)：
In formula (1), PmeasRepresent the measuring value of a measuring point of some circuit；PseRepresent the state estimation of the measuring point；
VbaseRepresent a reference value, VbaseIt is related to the voltage class where circuit；
12) whether it is big error dot according to the different threshold decision measuring points of metric data type set：
When metric data is active metric data, the threshold value set is 2%, as deviation Seerr>2%, then the measuring point is big
Error dot；
When metric data is idle metric data, the threshold value set is 3%, as deviation Seerr>3%, then the measuring point is big
Error dot；There will be the corresponding whole circuit settings of big error dot for suspicious sets of lines.
3. method as claimed in claim 1, it is characterised in that the step 2) specifically include following steps：
21) judge whether circuit first and last end metric data balances：
Calculate the looking somebody up and down of circuit first and last and survey data deviation：
In formula (2), MhFor circuit head end measuring value, MtFor line end measuring value, VbaseRepresent a reference value；When metric data is
During active metric data, Mbias>2%, it is set to first and last looking somebody up and down measured value uneven；When metric data is idle metric data, Mbias
>3%, it is set to first and last looking somebody up and down measured value uneven；
22) whether bus metric data where judging circuit balances：
Calculate bus metric data deviation where circuit：
Wherein MiRepresent the equipment measuring value being connected with bus；
When metric data is active metric data, Bsbias>2%, it is set to bus metric data uneven；When metric data is nothing
During work(metric data, Bsbias>3%, it is set to bus metric data uneven；
23) there will be first and last looking somebody up and down survey data nonbalance or the unbalanced suspicious line facility of bus metric data is saved in measurement
Defect of data equipment list, without parameter Estimation.
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| CN105139092B (en) * | 2015-09-06 | 2018-08-03 | 国网冀北电力有限公司 | A kind of high robust transmission line parameter method of estimation based on multi-period PMU |
| CN105391049B (en) * | 2015-10-20 | 2018-10-09 | 国网冀北电力有限公司 | A kind of electrical network parameter method of estimation considering probability distribution |
| CN105242143B (en) * | 2015-10-21 | 2018-05-11 | 国网冀北电力有限公司 | Bad data modification method is estimated based on multi-period precision measurement unit data mode |
| CN106451433B (en) * | 2016-10-27 | 2019-02-05 | 国家电网公司 | High pressure annular Power Network Status Estimation method and device |
| CN109188045B (en) * | 2018-06-08 | 2023-07-18 | 中国电力科学研究院有限公司 | Method and device for balancing line voltage of power distribution network |
| CN109066685B (en) * | 2018-08-02 | 2021-10-01 | 国网安徽省电力有限公司 | Line parameter correction method based on parameter sensitivity |
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