CN103426121A - Method for calculating power grid operation evaluation index dimensionless - Google Patents
Method for calculating power grid operation evaluation index dimensionless Download PDFInfo
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Abstract
The present invention relates to a method for calculating the power grid operation evaluation index dimensionless. The method comprises the following steps of 1) inputting the current data of an index from a power grid real-time database and inputting the historical data of the index from a power grid historical database to form an information database; 2) setting the interval number of the index and the index threshold values corresponding to the upper and lower limits of each interval; 3) analyzing the historical data of the index and counting the number of the historical data of the index within different intervals; 4) positioning the position of the current data of the index in a histogram by a historical distribution histogram of the index and the current data value of the index, and separately calculating the out-interval ranking rate and the in-interval ranking rate of the index to obtain the current ranking rate of the index; 5) setting the index scores corresponding to the upper and lower limit threshold values of the different intervals of the index, considering the distinction of a maximum index and a minimum index, and calculating the offset amount of the current ranking of the index. The calculation method of the present invention is simple in flow, small in computation amount and development difficulty and strong in practicality, and the definition of an intermediate result during the calculation process is clear.
Description
Technical field
The present invention is a kind of computing method of operation of power networks evaluation index nondimensionalization, nondimensionalization computing method between a kind of operation of power networks index multi-region based on the historical distribution probability of numerical value particularly, belong to the innovative technology of the computing method of operation of power networks evaluation index nondimensionalization.
Background technology
The operation of power networks evaluation index, to grasping the operation of power networks state, analyze the relative merits of dispatching services work, promotes the dispatching services level and have vital role.Yet, due to the operation of power networks evaluation index, often to the evaluation of a certain side of operation of power networks, therefore often there is different physics dimensions.The difference of operation of power networks evaluation index on physics dimension, examination object causes different operation of power networks evaluation indexes to be difficult to realize horizontal comparing, in the urgent need to the nondimensionalization to by the operation of power networks evaluation index, evaluation index is converted into to the nondimensional index scoring of standard.Current, state Intranet scholar, in the operation of power networks indices non-dimension calculates, mainly adopts subjective setting method.By two index eigenwerts and the scoring of its corresponding nondimensionalization index are set, index value is carried out to linear fit, thereby calculate the nondimensionalization index appraisal result of index.
In fact, the Operation Technique of Electric Systems standards such as electric power netting safe running guide rule, carried out standard to the data characteristics of many operation of power networks indexs, stipulated safety, early warning, the alarm interval of index; In service in actual schedule, operation of power networks person often also can be arranged the traffic coverage of index, carrys out successively the analysis and assessment of auxiliary characteristics.The nondimensionalization index scoring calculated by said method, be difficult to the different interval differentiation features of careful consideration index, also just be difficult in actual use highlight index at the different interval actual influences to the operation of power networks level, can not effectively instruct the Operation of Electric Systems assessment.
Simultaneously, said method lacks the statistical study to the index historical data, by artificial setting index eigenwert, carries out linear fit, lack necessary support, confidence level is not high, and therefore the index scoring of gained should often lack discrimination and the vertical comparability of index, causes practicality not strong.
Summary of the invention
The object of the invention is to consider the problems referred to above and provide a kind of with strong points, and can effectively improve the discrimination of nondimensionalization index, the computing method of the objectivity of enhancing index scoring and the operation of power networks evaluation index nondimensionalization of comparability.
Technical scheme of the present invention is: the computing method of operation of power networks evaluation index nondimensionalization of the present invention include following steps:
1) from the current data of electrical network real-time data base input pointer, from the historical data of electrical network historical data base input pointer, form the information database that this method is calculated;
2) objective standard or the artificial experience based on the safe operation of electric network guide rule, set the interval number of index and the corresponding metrics-thresholds of bound that each is interval, the interval number of index and bound threshold value need to be arranged according to its actual demand, but a security interval is at least contained in the interval of all indexs, if there is the early warning interval in the interval of an index simultaneously, must have the alarm interval, therefore, there are three kinds of possibilities in all index interval division: 1. only be divided into security interval; 2. can be divided into security interval and alarm interval; 3. can be divided into security interval, early warning interval, interval three intervals of alarm;
Above-mentioned three interval division need to meet, three interval zero lap parts, and the possible value condition of any one index must be in a certain interval range simultaneously;
3) analysis indexes historical data, the index historical data quantity of statistics in different intervals, on this basis, by dividing sequence between setting area, security interval, early warning interval, interval three intervals of alarm are further subdivided into to sub-range, by the quantity of statistics historical data of index in each sub-range, the historical distribution histogram of composing indexes;
4) by the historical distribution histogram of index and index current value, the position of positioning index current data in histogram, rank rate in rank Shuai He district outside the district of parameter respectively, thus obtain the current rank rate of index;
5) set index scoring corresponding to the different interval bound threshold values of index, consider the difference of very big type and minimal type index, calculate its current rank side-play amount, and then consider that current offset affect, on the basis of the interval index scoring of index base value, calculates the index index scoring.
Nondimensionalization computing method between index multi-region proposed by the invention, compare with other nondimensionalization methods, has following distinguishing feature:
1) the present invention considers the state difference of operation of power networks, and the setting target interval can be unified to process dimensionless between the multi-region of index and transform, and method of the present invention is with strong points;
2) the present invention determines the score function of the nondimensionalization of index by the historical distribution probability of analysis indexes numerical value, taken into full account the distribution characteristics of index historical data, can effectively improve the discrimination of nondimensionalization index, strengthen objectivity and the comparability of index scoring.
Calculation process of the present invention is simple, and calculated amount is little, and development difficulty is little, and the intermediate result implication of computation process is clear, practical.A kind of computing method of convenient and practical operation of power networks evaluation index nondimensionalization.
The accompanying drawing explanation
Fig. 1 is the process flow diagram of nondimensionalization computing method between the operation of power networks index multi-region of the embodiment of the present invention based on the historical distribution probability of numerical value.
Fig. 2 is the formed index historical data of embodiment of the present invention distribution histogram.
Embodiment
Embodiment:
Between the operation of power networks index multi-region based on the historical distribution probability of numerical value of the present invention, as shown in Figure 1, method of the present invention has realized the dimensionless of operation of power networks index is transformed the process flow diagram of nondimensionalization computing method.Method implementation process of the present invention comprises as follows:
(1) from the current data of electrical network real-time data base input pointer, from the historical data of electrical network historical data base input pointer, form the information database that this method is calculated;
Input the required operation of power networks index master data of this calculation process, required input data had both comprised operation of power networks index current data, also comprised the historical data of index.Wherein the current data of index is inputted by the electrical network real-time data base, and historical data is inputted by the electrical network historical data base.It should be noted that, the statistical study of the calculating of indices non-dimension based on to the index historical data, therefore need to provide historical data as much as possible, and general provided historical data sample should not be less than 500.
(2) based on objective standard or artificial experience such as safe operation of electric network guide rules, set the corresponding metrics-thresholds of each interval bound, achievement data value zone is divided into to safety, early warning, three intervals of alarm;
According to the assessment feature of operation of power networks index, generally the operation of power networks achievement data can be divided into to three intervals, be respectively that security interval, early warning are interval, alarm is interval.
Security interval: in this interval range, show the side of assessing in this index when index value, operation of power networks is in tolerance interval;
The early warning interval: in this interval range, show the side that this index is assessed when index value, operation of power networks, in critical conditions, need to cause concern;
The alarm interval: in this interval range, show the side that this index is assessed when index value, operation of power networks, in precarious position, need to attract great attention.
The concrete setting in safety, early warning, three intervals of alarm can be carried out according to relevant regulations in the power grid security guide rule, also can according to actual operational management, need to be arranged by operation of power networks person.By the bound threshold value of the interval index value of difference is set, the whole feasible region of index value is divided into to three continuous zones.
It should be noted that:
(3) analysis indexes historical data, the index historical data quantity of statistics in different intervals, on this basis, by dividing sequence between setting area, safety, early warning, three intervals of alarm are further subdivided into to sub-range, by the quantity of statistics historical data of index in each sub-range, the historical distribution histogram of composing indexes;
At above-mentioned three index distributed areas, respectively according to corresponding interval bound threshold value, the statistical history data, and then form different interval historical distribution histograms.Concrete steps are as follows: at first, according to the different interval bound threshold values that arrange, add up respectively the distributed quantity of index historical data in safety, early warning, three intervals of alarm; Secondly, by dividing sequence between setting area, the index traffic coverage is further subdivided into to sub-range, historical data quantity in the statistics sub-range; Finally, with this, history of forming data distribution histogram, as accompanying drawing 2.
It should be noted that:
● sub-range quantity can be adjusted according to the quantity of this interval historical data, without fixed standard;
● if in certain interval range, data volume is very few even not to be had, and is difficult to form histogram, can not form histogram, and its indices non-dimension computing method will be introduced in step (5).In general, when historical index quantity is less than 50 in certain is interval, can not form histogram.
(4) by the historical distribution histogram of index and index current value, the position of positioning index current data in histogram, rank rate in rank Shuai He district outside the district of parameter respectively, thus obtain the current rank rate of index;
By the historical distribution histogram of index and the index current value inputted, can calculate its rank rate, circular is as follows: at first, and by each interval bound threshold value relatively, the residing interval of positioning index current value; Secondly, the position that the current value of positioning index should be located on the horizontal ordinate of the historical distribution histogram in this interval; Finally, according to this interval division sequence and histogram, rank rate in rank Shuai He district outside the parameter district, two parts statistics obtains the current rank rate of index.
If this interval bound threshold value is [P
0, P
M+1], the interval division sequence is { P
1, P
2... P
M, meet P
0<P
1<P
2<... P
M<P
M+1Thereby, by this interval division, be M+1 sub-range.In this interval range, historical data adds up to N.On historical distribution histogram, the historical data quantity of i sub-range index is N
i, meet
If the index current value is P, meet P
I-1<P≤P
i, 1≤i≤M+1 wherein.Outside the district of index, rank rate computing formula is as follows:
As above, R
oThe outer rank rate in district that means index, its physical meaning is, before sub-range, index place in all sub-ranges historical data account for the ratio of interior historical data between this index location.
In the district of index, rank rate computing formula is as follows:
As above, R
iRank rate in the district of expression index, its calculating has adopted the means of linear fit, suppose that historical data is uniformly distributed in the scope of sub-range, in this sub-range scope, the current value rank of index should be the ratio that is accounted for this sub-range total area by the current value of index and the determined rectangle of this sub-range lower limit, in above formula
Part, and then the historical data amount in this sub-range of rate of examining accounts for whole interval historical data ratio, in above formula
Part, can obtain rank rate in the district of index.
The current rank rate computing formula that can obtain thus index is as follows:
R=R
o+R
i
Current rank rate, considered in the district of the current value of index rank rate outside rank Shuai He district.It should be noted that: in above-mentioned current rank rate computing formula, only need index historical data distribution histogram, utilize the historical data quantity in histogrammic sub-range bound threshold series and each sub-range, analyze by the compute histograms area ratio the current rank rate that obtains, and do not need by inquiring about huge historical data information storehouse, contrast one by one the numerical relation of historical data and present input data, therefore calculate the desired data amount little, computation process is simple, and counting yield is high.
(5) set index scoring corresponding to the different interval bound threshold values of index, consider the difference of very big type and minimal type index, calculate its current rank side-play amount, and then consider that current offset affect, on the basis of the interval index scoring of index base value, calculates the index index scoring.
After obtaining the current rank rate of index, further by bound threshold value between setting area, corresponding index is marked, but the scoring of the nondimensionalization index of parameter.Concrete steps are as follows:
At first, index score corresponding to different traffic coverage bound threshold values is set.
Safety, early warning, three index scores corresponding to traffic coverage bound threshold value of alarm are set, might as well establish three interval bound threshold value equivalency index scores and be respectively:
(scoring of security interval upper limit threshold equivalency index),
(scoring of security interval lower threshold equivalency index),
(the interval upper limit threshold equivalency index scoring of early warning),
(the interval lower threshold equivalency index scoring of early warning),
(the interval upper limit threshold equivalency index scoring of alarm),
(the interval lower threshold equivalency index scoring of alarm).Threshold value setting meets the regulation of following three aspects::
Secondly, according to bound threshold value between the current rank rate of index and location, the current rank departure of parameter.
According to bound threshold value between the current rank rate of index and location, while calculating the current rank departure of its index, should consider index greatly/minimum pointer type, for dissimilar index, use different computing method.
For very big type index, its computing formula is as follows:
For the minimal type index, its computing formula is as follows:
As above two computing formula, wherein V
offThe current rank departure that means index, its physical significance is for considering the correction of after the level distribution of index current data in historical data, index index being marked; P means the current value of index;
Be respectively safety, early warning, three interval bound threshold values of alarm.It should be noted that, greatly type and its index value of minimal type index and index scoring are inversely prroportional relationships, and the ranking that current rank rate is index numerical value, therefore utilizing current rank rate to calculate its deviation to the index scoring, be get its supplementary set in interval, i.e. (1-R) part.
Finally, consider current rank side-play amount, the zero dimension index value of parameter.
According to the base value of index scoring between the current rank departure of index and location, calculate the index scoring of its index, should consider equally index greatly/minimum pointer type, for dissimilar index, use different computing method.
For very big type index, its computing formula is as follows:
For the minimal type index, its computing formula is as follows:
As above two computing formula, wherein V means the nondimensionalization index scoring that the index current value is corresponding; Greatly the difference on type and minimal type index index score calculation is, in same interval, the index scoring base value difference of two types of indexs, greatly type index index scoring base value be the index scoring that its interval lower limit is corresponding, and minimal type index index scoring base value to be index corresponding to its interval upper limit mark.
Special instruction: as index can not history of forming data distribution histogram at a certain traffic coverage, therefore work as the current value of index in this interval range, can directly its nondimensionalization exponential quantity be made as to its bound exponential quantity, in this case, its bound exponential quantity is identical.
From above concrete implementation step, nondimensionalization computing method between index multi-region proposed by the invention, calculation process is simple, and calculated amount is little, and development difficulty is little, and the intermediate result implication of computation process is clear, and computing method are practical.
It is emphasized that this method proposes bound threshold value in implementation step etc. and all can select flexibly.Therefore, the above implementation step unrestricted technical scheme of the present invention in order to explanation only.Any modification or partial replacement that does not break away from spirit and scope of the invention, all should be encompassed in the middle of claim scope of the present invention.
Claims (9)
1. the computing method of an operation of power networks evaluation index nondimensionalization is characterized in that including following steps:
1) from the current data of electrical network real-time data base input pointer, from the historical data of electrical network historical data base input pointer, form the information database that this method is calculated;
2) objective standard or the artificial experience based on the safe operation of electric network guide rule, set the interval number of index and the corresponding metrics-thresholds of bound that each is interval, the interval number of index and bound threshold value need to be arranged according to its actual demand, but a security interval is at least contained in the interval of all indexs, if there is the early warning interval in the interval of an index simultaneously, must have the alarm interval, therefore, there are three kinds of possibilities in all index interval division: 1. only be divided into security interval; 2. can be divided into security interval and alarm interval; 3. can be divided into security interval, early warning interval, interval three intervals of alarm;
Above-mentioned three interval division need to meet, three interval zero lap parts, and the possible value condition of any one index must be in a certain interval range simultaneously;
3) analysis indexes historical data, the index historical data quantity of statistics in different intervals, on this basis, by dividing sequence between setting area, security interval, early warning interval, interval three intervals of alarm are further subdivided into to sub-range, by the quantity of statistics historical data of index in each sub-range, the historical distribution histogram of composing indexes;
4) by the historical distribution histogram of index and index current value, the position of positioning index current data in histogram, rank rate in rank Shuai He district outside the district of parameter respectively, thus obtain the current rank rate of index;
5) set index scoring corresponding to the different interval bound threshold values of index, consider the difference of very big type and minimal type index, calculate its current rank side-play amount, and then consider that current offset affect, on the basis of the interval index scoring of index base value, calculates the index index scoring.
2. the computing method of operation of power networks evaluation index nondimensionalization according to claim 1, is characterized in that above-mentioned steps 2) in interval, interval three intervals of alarm of security interval, the early warning of dividing be respectively;
Security interval: in this interval range, show the side of assessing in this index when index value, operation of power networks is in tolerance interval;
The early warning interval: in this interval range, show the side that this index is assessed when index value, operation of power networks, in critical conditions, need to cause concern;
The alarm interval: in this interval range, show the side that this index is assessed when index value, operation of power networks, in precarious position, need to attract great attention;
Security interval, early warning interval, specifically arranging according to the regulation in the power grid security guide rule of interval three intervals of alarm are carried out, or need to be arranged according to actual operational management by operation of power networks person, by the bound threshold value of the interval index value of difference is set, the whole feasible region of index value is divided into to three continuous zones.
3. the computing method of operation of power networks evaluation index nondimensionalization according to claim 1, it is characterized in that above-mentioned steps 3) in, at above-mentioned security interval, early warning interval, interval three the index distributed areas of alarm, respectively according to corresponding interval bound threshold value, the statistical history data, and then the different interval historical distribution histograms of formation, concrete steps are as follows: at first, according to the different interval bound threshold values that arrange, add up respectively the distributed quantity of index historical data in security interval, early warning interval, interval three intervals of alarm; Secondly, by dividing sequence between setting area, the index traffic coverage is further subdivided into to sub-range, historical data quantity in the statistics sub-range; Finally, with this, history of forming data distribution histogram,
Wherein, the quantity of this interval historical data of sub-range quantity basis is adjusted, without fixed standard;
Wherein, if in certain interval range, data volume is very few even not to be had, and is difficult to form histogram, does not form histogram, in general, when historical index quantity is less than 50 in certain is interval, does not form histogram.
4. the computing method of operation of power networks evaluation index nondimensionalization according to claim 1, it is characterized in that above-mentioned steps 4) in, by the historical distribution histogram of index and the index current value of inputting, can calculate its rank rate, circular is as follows: at first, by each interval bound threshold value relatively, the residing interval of positioning index current value; Secondly, the position that the current value of positioning index should be located on the horizontal ordinate of the historical distribution histogram in this interval; Finally, according to this interval division sequence and histogram, rank rate in rank Shuai He district outside the parameter district, two parts statistics obtains the current rank rate of index;
If this interval bound threshold value is [P
0, P
M+1], the interval division sequence is { P
1, P
2... P
M, meet P
0<P
1<P
2<... P
M<P
M+1Thereby, by this interval division, be M+1 sub-range; In this interval range, historical data adds up to N; On historical distribution histogram, the historical data quantity of i sub-range index is N
i, meet
If the index current value is P, meet P
I-1<P≤P
i, 1≤i≤M+1 wherein, outside the district of index, rank rate computing formula is as follows:
As above, R
oThe outer rank rate in district that means index, its physical meaning is, before sub-range, index place in all sub-ranges historical data account for the ratio of interior historical data between this index location;
In the district of index, rank rate computing formula is as follows:
As above, R
iRank rate in the district of expression index, its calculating has adopted the means of linear fit, suppose that historical data is uniformly distributed in the scope of sub-range, in this sub-range scope, the current value rank of index should be the ratio that is accounted for this sub-range total area by the current value of index and the determined rectangle of this sub-range lower limit, in above formula
Part, and then the historical data amount in this sub-range of rate of examining accounts for whole interval historical data ratio, in above formula
Part, can obtain rank rate in the district of index;
The current rank rate computing formula that can obtain thus index is as follows:
R=R
o+R
i
Current rank rate, considered in the district of the current value of index rank rate outside rank Shuai He district, it should be noted that: in above-mentioned current rank rate computing formula, only need index historical data distribution histogram, utilize the historical data quantity in histogrammic sub-range bound threshold series and each sub-range, analyze by the compute histograms area ratio the current rank rate that obtains, and do not need by inquiring about huge historical data information storehouse, contrast one by one the numerical relation of historical data and present input data.
5. the computing method of operation of power networks evaluation index nondimensionalization according to claim 1, it is characterized in that above-mentioned steps 5) in, set index scoring corresponding to the different interval bound threshold values of index, consider the difference of very big type and minimal type index, calculate its current rank side-play amount, and then consider that current offset affect, on the basis of the interval index scoring of index base value, calculates the index index scoring;
After obtaining the current rank rate of index, further by bound threshold value between setting area, corresponding index is marked, the nondimensionalization index scoring of parameter, and concrete steps are as follows:
At first, index score corresponding to different traffic coverage bound threshold values is set,
Safety, early warning, three index scores corresponding to traffic coverage bound threshold value of alarm are set, might as well establish three interval bound threshold value equivalency index scores and be respectively: the scoring of security interval upper limit threshold equivalency index
The scoring of security interval lower threshold equivalency index
The interval upper limit threshold equivalency index scoring of early warning
The interval lower threshold equivalency index scoring of early warning
The interval upper limit threshold equivalency index scoring of alarm V
D U, the interval lower threshold equivalency index scoring of alarm V
D B, threshold value setting meets the regulation of following three aspects::
11) according to the relation between index value and operation of power networks level, index can be divided into to very big type and minimal type two classes, its implication is as follows: very big type index: greatly the flexible index index value of type is larger, shows that the operation of power networks level is higher; The minimal type index: the flexible index index value of minimal type is less, shows that the operation of power networks level is higher; For guarantee exponential quantity can with the proportional routine relation of operation of power networks level, reflection operation of power networks level height, require: for very big type index, its security interval should meet
The early warning interval should meet
The alarm interval should meet
For the minimal type index, its security interval should meet
The early warning interval should meet
The alarm interval should meet
12) three interval index scoring territories should not have lap, and the index score value can represent the operation of power networks situation; Therefore require index scoring corresponding to security interval bound threshold value to be greater than the early warning interval, the early warning interval is greater than the alarm interval, allows interval index scoring discontinuous,, for very big type index, should meet simultaneously
For the minimal type index, should meet
13) if this interval historical data deficiency occurs, can not form the situation of index historical data distribution histogram, set index scoring corresponding to this interval index bound threshold value identical;
Secondly, according to bound threshold value between the current rank rate of index and location, the current rank departure of parameter;
According to bound threshold value between the current rank rate of index and location, while calculating the current rank departure of its index, should consider index greatly/minimum pointer type, for dissimilar index, use different computing method.
6. the computing method of operation of power networks evaluation index nondimensionalization according to claim 5, is characterized in that above-mentionedly for very big type index, and its computing formula is as follows:
7. the computing method of operation of power networks evaluation index nondimensionalization according to claim 5, is characterized in that above-mentionedly for the minimal type index, and its computing formula is as follows:
As above two computing formula, wherein V
offThe current rank departure that means index, its physical significance is for considering the correction of after the level distribution of index current data in historical data, index index being marked; P means the current value of index;
Be respectively security interval, early warning interval, interval three the interval bound threshold values of alarm; It should be noted that, greatly type and its index value of minimal type index and index scoring are inversely prroportional relationships, and the ranking that current rank rate is index numerical value, therefore utilizing current rank rate to calculate its deviation to the index scoring, be get its supplementary set in interval, i.e. (1-R) part;
Finally, consider current rank side-play amount, the zero dimension index value of parameter;
According to the base value of index scoring between the current rank departure of index and location, calculate the index scoring of its index, should consider equally index greatly/minimum pointer type, for dissimilar index, use different computing method.
8. the computing method of operation of power networks evaluation index nondimensionalization according to claim 6, is characterized in that above-mentionedly for very big type index, and its computing formula is as follows:
9. the computing method of operation of power networks evaluation index nondimensionalization according to claim 7, is characterized in that above-mentionedly for the minimal type index, and its computing formula is as follows:
As above two computing formula, wherein V means the nondimensionalization index scoring that the index current value is corresponding; Greatly the difference on type and minimal type index index score calculation is, in same interval, the index scoring base value difference of two types of indexs, greatly type index index scoring base value be the index scoring that its interval lower limit is corresponding, and minimal type index index scoring base value to be index corresponding to its interval upper limit mark;
As index can not history of forming data distribution histogram at a certain traffic coverage, therefore when the current value of index in this interval range, can directly its nondimensionalization exponential quantity be made as to its bound exponential quantity, in this case, its bound exponential quantity is identical.
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