CN103426121B - A kind of computational methods of operation of power networks evaluation index nondimensionalization - Google Patents
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Abstract
The present invention is the computational methods of a kind of operation of power networks evaluation index nondimensionalization。Comprise the following steps that 1) from the current data of real-time data of power grid storehouse input pointer, from the historical data of electrical network historical data base input pointer, form information database；2) interval number of index and the metrics-thresholds corresponding to bound in each interval are set；3) analysis indexes historical data, adds up the metric history data bulk in different intervals；4) by metric history distribution histogram and index current value, positioning index current data position in rectangular histogram, ranking rate in ranking Shuai He district outside the district of difference parameter, thus obtaining the current standings rate of index；5) set the index score that index difference interval bound threshold value is corresponding, it is considered to the difference of large and minimal type index, calculate its current standings side-play amount。The computational methods flow process of the present invention is simple, and amount of calculation is little, and development difficulty is little, and the intermediate object program implication calculating process is clear, and computational methods are practical。
Description
Technical field
The present invention is the computational methods of a kind of operation of power networks evaluation index nondimensionalization, particularly the many interval nondimensionalization computational methods of a kind of operation of power networks index based on numerical value historical rethinking probability, belong to the innovative technology of the computational methods of operation of power networks evaluation index nondimensionalization。
Background technology
Operation of power networks evaluation index, to grasping operation of power networks state, analyzes the pluses and minuses of scheduling vocational work, promotes scheduling professional skill and has important function。But, owing to operation of power networks evaluation index is often the evaluation to operation of power networks one side, therefore often there is different physics dimensions。The difference on physics dimension, examination object of the operation of power networks evaluation index causes that different operation of power networks evaluation index is difficult to horizontal comparing, in the urgent need to the nondimensionalization by operation of power networks evaluation index, evaluation index being converted into the nondimensional index score of standard。Currently, state Intranet scholar, in operation of power networks indices non-dimension calculates, mainly adopts subjective setting method。By arranging the nondimensionalization index score of two indices eigenvalue and its correspondence, index value is carried out linear fit, thus calculating the nondimensionalization index score result obtaining index。
It practice, Operation Technique of Electric Systems specifications such as electric power netting safe running directive/guides, the data characteristics of many operation of power networks indexs is carried out specification, it is stipulated that the safety of index, early warning, alarm are interval；In actual schedule is run, operation of power networks person will also tend to the traffic coverage of index is arranged, and carrys out the analysis and assessment of auxiliary characteristics successively。By the calculated nondimensionalization index score of said method, it is difficult to the differentiation feature that careful consideration index difference is interval, also just it is difficult in actual use highlight index at the different interval actual influences to operation of power networks level, it is impossible to effectively instruct Operation of Electric Systems to assess。
Meanwhile, said method lacks the statistical analysis to metric history data, carries out linear fit by manually setting index feature value, lack necessary support, credibility is not high, and therefore the index score of gained often should lack discrimination and index longitudinal direction comparability, causes that practicality is not strong。
Summary of the invention
It is an object of the invention to consider that the problems referred to above provide a kind of with strong points, and the discrimination of nondimensionalization index can be effectively improved, strengthen the objectivity of index scoring and the computational methods of the operation of power networks evaluation index nondimensionalization of comparability。
The technical scheme is that the computational methods of the operation of power networks evaluation index nondimensionalization of the present invention, comprise the following steps that
1) from the current data of real-time data of power grid storehouse input pointer, from the historical data of electrical network historical data base input pointer, the information database that this method calculates is formed；
2) based on the objective specification of safe operation of electric network directive/guide or artificial experience, set the interval number of index and the metrics-thresholds corresponding to bound in each interval, the interval number of index and bound threshold value need to be configured according to its actual demand, but a security interval is at least contained in the interval of all indexs, if there is early warning interval in the interval of an index simultaneously, then must there is alarm interval, therefore, there are three kinds of possibilities in all index interval division: is 1. only divided into security interval；2. security interval and alarm interval can be divided into；3. can be divided into security interval, early warning is interval, alert interval three intervals；
Above three interval division needs to meet, three non-overlapping parts in interval, and the value condition that any one index is possible simultaneously necessarily be in a certain interval range；
3) analysis indexes historical data, add up the metric history data bulk in different intervals, on this basis, by arranging interval dividing sequence, security interval, early warning interval, interval three intervals of alarm are further subdivided into subinterval, by adding up the quantity of the historical data of index, composing indexes historical rethinking rectangular histogram in each subinterval；
4) by metric history distribution histogram and index current value, positioning index current data position in rectangular histogram, ranking rate in ranking Shuai He district outside the district of difference parameter, thus obtaining the current standings rate of index；
5) index score that index difference interval bound threshold value is corresponding is set, consider the difference of large and minimal type index, calculate its current standings side-play amount, and then consider that current offset affects on the basis of index interval index score base value, calculate and obtain index index scoring。
The many interval nondimensionalization computational methods of index proposed by the invention, compared with other nondimensionalization methods, have following distinguishing feature:
1) present invention considers the state difference of operation of power networks, and setting target is interval, it is possible to the how interval dimensionless being uniformly processed index converts, and the method for the present invention is with strong points；
2) present invention carrys out the score function of the nondimensionalization of agriculture products by the historical rethinking probability of analysis indexes numerical value, take into full account the distribution characteristics of metric history data, the discrimination of nondimensionalization index can be effectively improved, strengthen objectivity and the comparability of index scoring。
Calculation process of the present invention is simple, and amount of calculation is little, and development difficulty is little, and the intermediate object program implication calculating process is clear, practical。It is the computational methods of a kind of convenient and practical operation of power networks evaluation index nondimensionalization。
Accompanying drawing explanation
Fig. 1 is the embodiment of the present invention flow chart based on the many interval nondimensionalization computational methods of operation of power networks index of numerical value historical rethinking probability。
Fig. 2 is the metric history data distribution histogram that the embodiment of the present invention is formed。
Detailed description of the invention
Embodiment:
The flow chart of the many interval nondimensionalization computational methods of the operation of power networks index based on numerical value historical rethinking probability of the present invention is as it is shown in figure 1, The inventive method achieves the dimensionless to operation of power networks index and convert。The method implementation process of the present invention includes as follows:
(1) from the current data of real-time data of power grid storehouse input pointer, from the historical data of electrical network historical data base input pointer, the information database that this method calculates is formed；
Inputting the operation of power networks index master data needed for this calculation process, required input data had both included operation of power networks index current data, also included the historical data of index。Wherein the current data of index is inputted by real-time data of power grid storehouse, and historical data is inputted by electrical network historical data base。It should be strongly noted that the calculating of indices non-dimension is based on the statistical analysis to metric history data, it is therefore desirable to providing historical data as much as possible, general provided historical data sample should less than 500。
(2) based on objective specification or artificial experience such as safe operation of electric network directive/guides, set the metrics-thresholds corresponding to the bound in each interval, achievement data value region is divided into safety, early warning, three intervals of alarm；
According to the assessment feature of operation of power networks index, operation of power networks achievement data generally can being divided into three intervals, respectively security interval, early warning be interval, alarm interval。
Security interval: when index value is in this interval range, it was shown that in the side that this index is evaluated, operation of power networks is in tolerance interval；
Early warning is interval: when index value is in this interval range, it was shown that the side that this index is evaluated, operation of power networks is in critical state, it is necessary to cause concern；
Alarm interval: when index value is in this interval range, it was shown that the side that this index is evaluated, operation of power networks is in precarious position, it is necessary to attract great attention。
Safety, early warning, interval specifically the arranging and can carry out according to relevant regulations in power grid security directive/guide of alarm three, it is possible to needed to be configured according to actual operational management by operation of power networks person。By arranging the bound threshold value of different interval index value, the whole feasible region of index value is divided into three continuous print regions。
It should be noted that:
The interval number of index and bound threshold value need to be configured according to its actual demand, and not all index all can be divided into three intervals as above, but all indexs at least contain a security interval。If an index exists early warning interval simultaneously, then must there is alarm interval, therefore, there are three kinds of possibilities in all index interval division: 1. only can be divided into security interval；2. security interval and alarm interval can be divided into；3. safety, early warning, three intervals of alarm can be divided into；
Above three interval division needs to meet, three non-overlapping parts in interval, and the value condition that any one index is possible simultaneously necessarily be in a certain interval range。
(3) analysis indexes historical data, add up the metric history data bulk in different intervals, on this basis, by arranging interval dividing sequence, safety, early warning, three intervals of alarm are further subdivided into subinterval, by adding up the quantity of the historical data of index, composing indexes historical rethinking rectangular histogram in each subinterval；
At above three index distributed area, respectively according to corresponding interval bound threshold value, statistical history data, and then form different interval historical rethinking rectangular histogram。Specifically comprise the following steps that first, according to the different interval bound threshold values arranged, add up the distributed quantity of metric history data in safety, early warning, three intervals of alarm respectively；Secondly, by arranging interval dividing sequence, index traffic coverage is further subdivided into subinterval, historical data quantity in statistics subinterval；Finally, with this, history of forming data distribution histogram, such as accompanying drawing 2。
It should be noted that:
● subinterval quantity can be adjusted according to the quantity of this interval historical data, without fixed standard；
If ● in certain interval range, data volume very few even without, it is difficult to formed rectangular histogram, then can be formed without rectangular histogram, its indices non-dimension computational methods will be introduced in step (5)。In general, when history index quantity is less than 50 in certain interval, rectangular histogram can be formed without。
(4) by metric history distribution histogram and index current value, positioning index current data position in rectangular histogram, ranking rate in ranking Shuai He district outside the district of difference parameter, thus obtaining the current standings rate of index；
By metric history distribution histogram and the index current value inputted, it is possible to calculating its ranking rate, circular is as follows: first, by the bound threshold value in relatively each interval, the interval residing for positioning index current value；Secondly, the position that the current value of positioning index should be located on this histogrammic abscissa of interval historical rethinking；Finally, according to this interval division sequence and rectangular histogram, ranking rate in ranking Shuai He district outside parameter district, two parts statistics obtains the current standings rate of index。
If this interval bound threshold value is [P0,PM+1], interval division sequence is { P1,P2,…PM, meet P0<P1<P2<…PM<PM+1, thus being M+1 subinterval by this interval division。In this interval range, historical data adds up to N。In historical rethinking rectangular histogram, the historical data quantity of i-th subinterval index is Ni, meetIf index current value is P, meet Pi-1<P≤Pi, wherein 1≤i≤M+1。Then outside the district of index, ranking rate computing formula is as follows:
As above, RoRepresenting ranking rate outside the district of index, its physical meaning is, before subinterval, index place, in all subintervals, historical data accounts for the ratio of historical data in this interval, index place。
In the district of index, ranking rate computing formula is as follows:
As above, RiRepresent ranking rate in the district of index, it calculates the means that have employed linear fit, assume that historical data is uniformly distributed within the scope of subinterval, then within the scope of this subinterval, index current value ranking should be the ratio being accounted for this subinterval gross area by the current value of index and this determined rectangle of subinterval lower limit, namely in above formulaPart, and then historical data amount in this subinterval of rate of examining accounts for whole interval historical data ratio, namely in above formulaPart, can obtain ranking rate in the district of index。
The current standings rate computing formula that thus can obtain index is as follows:
R=Ro+Ri
Current standings rate, has considered in the district of the current value of index ranking rate outside ranking Shuai He district。It should be noted that: in above-mentioned current standings rate computing formula, have only to metric history data distribution histogram, utilize the historical data quantity in histogrammic subinterval bound threshold series and each subinterval, analyzed by calculating rectangular histogram area ratio and obtain current standings rate, without passing through to inquire about huge historical data information storehouse, contrast historical data and the numerical relation of present input data, therefore calculate desired data amount little one by one, calculating process is simple, and computational efficiency is high。
(5) index score that index difference interval bound threshold value is corresponding is set, consider the difference of large and minimal type index, calculate its current standings side-play amount, and then consider that current offset affects on the basis of index interval index score base value, calculate and obtain index index scoring。
After the current standings rate obtaining index, index score corresponding by arranging interval bound threshold value further, can the nondimensionalization index score of parameter。Specifically comprise the following steps that
First, the index score that different traffic coverage bound threshold value is corresponding is set。
The index score that safety, early warning, three traffic coverage bound threshold values of alarm are corresponding is set, three interval bound threshold value equivalency index scores might as well be set and be respectively as follows:(scoring of security interval upper limit threshold equivalency index),(scoring of security interval lower threshold equivalency index),(scoring of early warning interval upper limit threshold equivalency index),(scoring of early warning interval limit threshold value equivalency index),(the interval upper limit threshold equivalency index scoring of alarm),(alarm interval limit threshold value equivalency index scoring)。Threshold value arranges the regulation meeting following three aspects:
According to the relation between index value and operation of power networks level, index can being divided into large and minimal type two class, its implication is as follows: large index: large flexibility index index value is more big, it was shown that operation of power networks level is more high；Minimal type index: minimal type flexibility index index value is more little, it was shown that operation of power networks level is more high。For ensure exponential quantity can proportional horizontal in operation of power networks, reflection operation of power networks level height, it is desirable to: for large index, its security interval should meetEarly warning interval should meetAlarm interval should meetFor minimal type index, its security interval should meetEarly warning interval should meetAlarm interval should meet
Three interval index score territories should not have lap, and index score numerical value can represent grid operating conditions。Therefore requiring that index score corresponding to security interval bound threshold value is interval more than early warning, early warning is interval more than alarm interval。Allow interval index score discontinuous simultaneously。Namely for large index, should meetFor minimal type index, should meet
If occurring, this interval historical data is not enough, it is impossible to form the situation of metric history data distribution histogram, then the index score setting this interval index bound threshold value corresponding is identical。
Secondly, according to index current standings rate and interval, place bound threshold value, parameter current standings departure。
According to index current standings rate and interval, place bound threshold value, when calculating its index current standings departure, it is considered as the pointer type that index is very big/minimum, for different types of index, uses different computational methods。
For large index, its computing formula is as follows:
For minimal type index, its computing formula is as follows:
As above two computing formula, wherein VoffRepresenting the current standings departure of index, its physical significance is the correction after considering index current data level distribution in the historical data, index index marked；P represents the current value of index；Respectively safety, early warning, the interval bound threshold value of alarm three。It should be noted that, large and its index value of minimal type index and index score are inversely prroportional relationships, and current standings rate is the ranking of index value, therefore be take its supplementary set in interval utilizing current standings rate to calculate its deviation to index score, i.e. (1-R) part。
Finally, it is considered to current standings side-play amount, the zero dimension index value of parameter。
According to the base value of index current standings departure and interval, place index score, calculate the index score of its index, be considered as the pointer type that index is very big/minimum equally, for different types of index, use different computational methods。
For large index, its computing formula is as follows:
For minimal type index, its computing formula is as follows:
As above two computing formula, wherein V represents the nondimensionalization index score that index current value is corresponding；Large and minimal type index index score calculation are distinctive in that, in same interval, the index score base value of two types index is different, large index index scoring base value is the index score that its interval limit is corresponding, and the minimal type index index scoring base value index score that to be its interval upper limit corresponding。
Special instruction: as index can not history of forming data distribution histogram at a certain traffic coverage, therefore when the current value of index is in this interval range, directly its nondimensionalization exponential quantity can being set to its bound exponential quantity, in this case, its bound exponential quantity is identical。
From being embodied as step above, the many interval nondimensionalization computational methods of index proposed by the invention, calculation process is simple, and amount of calculation is little, and development difficulty is little, and the intermediate object program implication calculating process is clear, and computational methods are practical。
The bound threshold value etc. that it is emphasized that in the proposed enforcement step of this method all can select flexibly。Therefore, above enforcement step is only in order to illustrative not limiting technical scheme。Without departing from any modification or partial replacement of spirit and scope of the invention, all should be encompassed in the middle of scope of the presently claimed invention。
Claims (5)
1. the computational methods of an operation of power networks evaluation index nondimensionalization, it is characterised in that comprise the following steps that
1) from the current data of real-time data of power grid storehouse input pointer, from the historical data of electrical network historical data base input pointer, the information database that this method calculates is formed；
2) based on the objective specification of safe operation of electric network directive/guide or artificial experience, set the interval number of index and the metrics-thresholds corresponding to bound in each interval, interval number and the bound threshold value of index are configured according to its actual demand, but a security interval is at least contained in the interval of all indexs, if there is early warning interval in the interval of an index simultaneously, then must there is alarm interval, therefore, there are three kinds of situations in all index interval division: is 1. only divided into security interval；2. security interval and alarm interval can be divided into；3. can be divided into security interval, early warning is interval, alert interval three intervals；
Above three interval division needs to meet, three non-overlapping parts in interval, and the value condition that any one index is possible simultaneously necessarily be in a certain interval range；
3) analysis indexes historical data, add up the metric history data bulk in different intervals, by arranging interval dividing sequence, security interval, early warning interval, interval three intervals of alarm are further subdivided into subinterval, by adding up the quantity of the historical data of index, composing indexes historical rethinking rectangular histogram in each subinterval；
4) by metric history distribution histogram and index current value, positioning index current data position in rectangular histogram, ranking rate in ranking Shuai He district outside the district of difference parameter, thus obtaining the current standings rate of index；
5) index score that index difference interval bound threshold value is corresponding is set, consider the difference of large and minimal type index, calculate its current standings side-play amount, and then consider that current offset affects on the basis of index interval index score base value, calculate and obtain index index scoring；
Described step 4) in, current standings rate can be calculated by metric history distribution histogram and the index current value inputted, circular is as follows: first, by the bound threshold value in relatively each interval, the interval residing for positioning index current value；Secondly, the position that the current value of positioning index should be located on this histogrammic abscissa of interval historical rethinking；Finally, according to this interval division sequence and rectangular histogram, ranking rate in ranking Shuai He district outside parameter district, two parts statistics obtains the current standings rate of index；
If this interval bound threshold value is [P0,PM+1], interval division sequence is { P1,P2,…PM, meet P0< P1< P2< ... PM< PM+1, thus being M+1 subinterval by this interval division；In this interval range, historical data adds up to N；In historical rethinking rectangular histogram, the historical data quantity of i-th subinterval index is Ni, meetIf index current value is P, meet Pi-1< P≤Pi, wherein 1≤i≤M+1, then outside the district of index, ranking rate computing formula is as follows:
As above, RoRepresenting ranking rate outside the district of index, its physical meaning is, before subinterval, index place, in all subintervals, historical data accounts for the ratio of historical data in this interval, index place；
In the district of index, ranking rate computing formula is as follows:
As above, RiRepresent ranking rate in the district of index, it calculates the means that have employed linear fit, assume that historical data is uniformly distributed within the scope of subinterval, then within the scope of this subinterval, index current value ranking should be the ratio being accounted for this subinterval gross area by the current value of index and this determined rectangle of subinterval lower limit, namely in above formulaPart, and then consider that in this subinterval, historical data amount accounts for whole interval historical data ratio, namely in above formulaPart, obtains ranking rate in the district of index；
The current standings rate computing formula that thus can obtain index is as follows:
R=Ro+Ri
Current standings rate, consider in the district of the current value of index ranking rate outside ranking Shuai He district, in above-mentioned current standings rate computing formula, have only to metric history data distribution histogram, utilize the historical data quantity in histogrammic subinterval bound threshold series and each subinterval, analyzed by calculating rectangular histogram area ratio and obtain current standings rate, without passing through to inquire about huge historical data information storehouse, the numerical relation of contrast historical data and present input data one by one；
Described step 5) in, set the index score that index difference interval bound threshold value is corresponding, consider the difference of large and minimal type index, calculate its current standings side-play amount, and then consider that current offset affects on the basis of index interval index score base value, calculate and obtain index index scoring；
After the current standings rate obtaining index, index score corresponding by arranging interval bound threshold value further, the nondimensionalization index score of parameter, specifically comprise the following steps that
First, the index score that different traffic coverage bound threshold value is corresponding is set,
The index score that safety, early warning, three traffic coverage bound threshold values of alarm are corresponding is set, if three interval bound threshold value equivalency index scores are respectively as follows: the scoring of security interval upper limit threshold equivalency indexSecurity interval lower threshold equivalency index is markedThe upper limit threshold equivalency index scoring of early warning intervalEarly warning interval limit threshold value equivalency index is markedThe interval upper limit threshold equivalency index scoring of alarmAlarm interval limit threshold value equivalency index scoringThreshold value arranges the regulation meeting following three aspects:
A) according to the relation between index value and operation of power networks level, index being divided into large and minimal type two class, its implication is as follows: large index: large flexibility index index value is more big, it was shown that operation of power networks level is more high；Minimal type index: minimal type flexibility index index value is more little, it was shown that operation of power networks level is more high；For ensure exponential quantity can proportional horizontal in operation of power networks, reflection operation of power networks level height, it is desirable to: for large index, its security interval should meetEarly warning interval should meetAlarm interval should meetFor minimal type index, its security interval should meetEarly warning interval should meetAlarm interval should meet
B) three interval index score territories do not have lap, and index score numerical value represents grid operating conditions；The index score requiring security interval bound threshold value corresponding is interval more than early warning, and early warning is interval more than alarm interval, allows interval index score discontinuous simultaneously, namely for large index, meetsFor minimal type index, meet
If c) a certain interval historical data occurring less than 50, it is impossible to form the situation of metric history data distribution histogram, then the index score setting this interval index bound threshold value corresponding is identical；
Secondly, according to index current standings rate and interval, place bound threshold value, parameter current standings departure；
According to index current standings rate and interval, place bound threshold value, when calculating its index current standings departure, it is considered to the pointer type that index is very big/minimum, for different types of index, use different computational methods。
2. the computational methods of operation of power networks evaluation index nondimensionalization according to claim 1, it is characterised in that described step 2) in the security interval that divides, early warning be interval, interval three intervals of alarm are respectively；
Security interval: when index value is in this interval range, it was shown that in the side that this index is evaluated, operation of power networks is in tolerance interval；
Early warning is interval: when index value is in this interval range, it was shown that the side that this index is evaluated, operation of power networks is in critical state, it is necessary to cause concern；
Alarm interval: when index value is in this interval range, it was shown that the side that this index is evaluated, operation of power networks is in precarious position, it is necessary to attract great attention；
Regulation in security interval, early warning interval, interval three the interval concrete installation warrants power grid security directive/guides of alarm carries out, or needed to be configured according to actual operational management by operation of power networks person, by arranging the bound threshold value of different interval index value, the whole feasible region of index value is divided into three continuous print regions。
3. the computational methods of operation of power networks evaluation index nondimensionalization according to claim 1, it is characterized in that described step 3) in, at above-mentioned security interval, early warning is interval, alert interval three index distributed areas, respectively according to corresponding interval bound threshold value, statistical history data, and then form different interval historical rethinking rectangular histogram, specifically comprise the following steps that first, according to the different interval bound threshold values arranged, add up the distributed quantity of metric history data in security interval, early warning interval, interval three intervals of alarm respectively；Secondly, by arranging interval dividing sequence, index traffic coverage is further subdivided into subinterval, historical data quantity in statistics subinterval；Finally, history of forming data distribution histogram,
Wherein, the quantity of this interval historical data of subinterval quantity basis is adjusted, without fixed standard；
When history index quantity is less than 50 in certain interval, namely it is formed without rectangular histogram。
4. the computational methods of operation of power networks evaluation index nondimensionalization according to claim 1, it is characterised in that for described large index, its computing formula is as follows:
For described minimal type index, its computing formula is as follows:
As above two computing formula, wherein VoffRepresenting the current standings departure of index, its physical significance is the correction after considering index current data level distribution in the historical data, index index marked；P represents the current value of index；Respectively security interval, early warning be interval, interval three the interval bound threshold values of alarm；Large and its index value of minimal type index and index score are inversely prroportional relationships, and current standings rate is the ranking of index value, therefore be take its supplementary set in interval utilizing current standings rate to calculate its deviation to index score, i.e. (1-R) part；
Finally, it is considered to current standings side-play amount, the zero dimension index value of parameter；
According to the base value of index current standings departure and interval, place index score, calculate the index score of its index, it is considered to the pointer type that index is very big/minimum, for different types of index, use different computational methods。
5. the computational methods of operation of power networks evaluation index nondimensionalization according to claim 4, it is characterised in that for described large index, its computing formula is as follows:
For described minimal type index, its computing formula is as follows:
As above two computing formula, wherein V represents the nondimensionalization index score that index current value is corresponding；Large and minimal type index index score calculation are distinctive in that, in same interval, the index score base value of two types index is different, large index index scoring base value is the index score that its interval limit is corresponding, and the minimal type index index scoring base value index score that to be its interval upper limit corresponding；
If index a certain traffic coverage can not history of forming data distribution histogram, when the current value of index is within the scope of this traffic coverage, directly its nondimensionalization exponential quantity is set to its bound exponential quantity, in this case, its bound exponential quantity is identical。
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