CN109753688B - Processing method of tidal current reverse abnormal work order - Google Patents
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Abstract
The invention relates to the technical field of power grid operation and maintenance, in particular to a method for processing a reverse trend abnormal work order, which comprises the following steps: a) Measuring a user table indicating value and a reverse tide value by a period t; b) Obtaining a user historical load curve sampling value vector s and a power flow reverse curve sampling value vector p; c) Dispatching to check the meter wiring condition on site if the trend reversal is highly related to the user load; d) E, judging that the power flow reversal occurs only when the load is low, and otherwise, entering step F; e) And the duration of the reverse power flow is highly related to the duration of the low load, and the worker is dispatched to overhaul the phenomenon of the reactive compensation equipment. The substantial effects of the invention are as follows: by extracting and analyzing the characteristics of the user load and the tidal current reverse data, the reason for generating the tidal current reverse abnormal work order is discriminated, so that the assignment or suspension of the tidal current reverse abnormal work order has pertinence, the processing efficiency of the abnormal work order is improved, and the operation reliability and efficiency of the power grid are improved.
Description
Technical Field
The invention relates to the technical field of power grid operation and maintenance, in particular to a method for processing a reverse trend abnormal work order.
Background
The reverse direction of power flow refers to the power flow occurring in the power system in the opposite direction to the normal power transmission direction. The power flow reversal is divided into power transmission network line power flow reversal and user side power flow reversal. Because many system protection is set according to normal power flow, if the transmission network circuit generates reverse power flow, many system protection will lose function, so that the power grid can not operate normally when the fault occurs. And if the power flow at the user side is reversed, the accuracy of meter measurement is influenced, so that the electricity consumption and the electricity charge of the user are measured incorrectly. The accuracy and the fairness of the electricity supply transaction are influenced. The reason for reversing the user side tide is many, some can be eliminated by dispatching and overhauling, and some are normally short-time reversed tides without being intentionally eliminated. However, the current method for discriminating the tidal current reverse abnormal work order is lacked, the work order processing is not targeted, and the efficiency is low.
The chinese patent CN104332991B, published 2017, 1 month 18, is a power grid tidal current blocking scheduling method, which includes: obtaining a target function according to the sum of the real-time transaction amount calibration value, the line flow calibration value and the section flow calibration value at all the moments; obtaining unit side constraint according to the unit output upper and lower limit constraint and the climbing constraint; acquiring power grid side constraint according to each province load balance constraint, each inter-province real-time transaction constraint, system standby constraint, line transmission limit constraint and section transmission limit constraint; the unit side constraint and the power grid side constraint are used as constraint conditions, and a power grid current blocking model is obtained according to the constraint conditions and an objective function; and under the constraint condition, solving the power grid current blocking model to obtain the minimum value of the objective function. The invention provides a power grid power flow blocking scheduling method, determines a standby support auxiliary decision during high-power loss, also provides a power grid power flow margin evaluation method, and perfects a power grid standby intelligent call control technical means. However, the method can not solve the problems that the work order for the reverse abnormal trend lacks an effective discrimination method, the work order processing is not targeted, and the efficiency is low.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: currently, a method for screening a reverse flow abnormal work order is lacked, and the technical problem that the reverse flow abnormal work order processing is lacked in pertinence is solved. The method for processing the reverse trend abnormal work order is used for screening by extracting and analyzing the characteristics of user load and reverse trend data.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: a method for processing a reversed flow abnormal work order comprises the following steps: a) When the user firstly has reversed tide flow, recording the user table indicating value and the reversed tide flow value in the following 24 hours in a period t call; b) If the number of the obtained non-zero reverse power flow values in the calling period is smaller than a set threshold value N, adding a user into a white list in the subsequent time T, wherein a power flow reverse abnormal work order is not processed, otherwise, sampling a user historical load curve and a power flow reverse curve respectively at a set frequency fc to obtain a user historical load curve sampling value vector s = (s 1, s2, …, sn) and a power flow reverse curve sampling value vector p = (p 1, p2, …, pn), wherein N is the total number of data samples, the user historical load curve is obtained by continuously calling a user meter to measure the power quantity in a period T in a research period, replacing the calling data with the slope of the calling data and the previous calling data and fitting the calling data, and the reverse power flow curve sampling is obtained by fitting the reverse power flow data collected by the meter and the step C is entered; c) Judging whether the trend reversal is highly related to the user load, if so, dispatching to carry out on-site inspection on the wiring condition of the meter, and otherwise, entering the step D; d) Judging whether the power flow reversal occurs only in the low load, if so, entering a step E, and if not, entering a step F; e) Judging whether the duration time of the reversed trend is highly related to the duration time of the low load, if so, dispatching to carry out phenomenon maintenance on the reactive power compensation equipment, and if not, adding the user into a white list in the subsequent time T; f) And judging whether the trend reversal occurrence rule is related to the fluctuation valley height of the user load numerical value, if so, adding the user into a white list in the subsequent time T, and if not, reporting the user trend reversal exception.
Preferably, the method for determining whether the power flow reversal is highly related to the user load comprises: and calculating the similarity Tr of the user historical load curve sampling value vector s and the load flow reversal curve sampling value vector p, if the similarity is greater than a set threshold value Ty, judging that the load flow reversal is in true correlation with the user load height, and otherwise, judging that the load flow reversal is in false correlation with the user load height.
Preferably, the similarity Tr is a percentage value, and the calculation method of the similarity Tr is as follows: and obtaining an average value e of absolute values of differences of all adjacent elements in the sampling value vector of the user historical load curve, regarding element pairs with the absolute values of the differences of the elements at the same positions of the vector s and the vector p smaller than e as similar data pairs, and regarding the ratio of the total number of the similar data pairs of the vector s and the vector p to n as a value of the similarity Tr.
Preferably, the method for determining whether the duration of the power flow reversal is highly correlated to the duration of the low load is as follows: e1 Marking the element with the element value of 0 in the vector p as 0 and marking the non-zero element as 1 to obtain the vector p b (ii) a E2 Let the value of the low load element in vector s be 1 and the other elements be 0 to obtain vector s p Calculate g = p b ·s p And if the g/n is greater than or equal to the set threshold Gy, determining that the high correlation between the duration of the reversed power flow and the duration of the low load is true, and otherwise, determining that the high correlation between the duration of the reversed power flow and the duration of the low load is false.
Preferably, the method for determining the low load is as follows: computing
j∈[2，n]Find the match k j All s > σ j And is incorporated into the set C sj σ is a set constant, and σ is in the range of [0.28,0.32 ∈]With C sj The vector s is divided into a plurality of sections by the element(s), the average value Sr of each section is calculated, and the minimum value Sr of the average value is found min Finding out the average value Sr ∈ Sr min ±σ*Sr min All the intervals in (2) are low-load intervals, and elements in the low-load intervals are low-load.
Preferably, the method for judging the relation between the reverse trend occurrence rule and the fluctuation valley height of the user load value comprises the following steps: f1 ) calculation of
j∈[2，n]Find the match k j All s > σ j And is incorporated into the set C sj σ is a set constant, and σ is in the range of [0.36,0.42 ∈]With C sj The vector S is divided into a plurality of intervals S1, S2 …, sm, m is the total number of the intervals, and the average value Sr of each interval is calculated j ，j∈[1，m](ii) a F2 Constructing vector Sr = (Sr 1, sr2, …, srm) if satisfying
And is
Then Sr is j As the trough interval, the element of the vector s in the trough interval is recorded as 1, and the rest elements are recorded as 0, so as to obtain the vectorSg; f3 Denote the element with element value 0 in the vector p as 0, and denote the non-zero element as 1, obtain the vector p b (ii) a F4 If)
If tau is a manually set threshold value, judging that the relation between the reverse trend occurrence rule and the fluctuation valley bottom height of the user load numerical value is true, otherwise, judging that the relation between the reverse trend occurrence rule and the fluctuation valley bottom height of the user load numerical value is false, wherein tau belongs to [0.54,0.8 ]]When the load fluctuation is smaller than the normal fluctuation range and the non-zero element proportion of the vector p is larger when the user is not under the low load, the smaller the value of tau in the interval is.
Preferably, τ =0.54+0.26 +μ 1 *μ 2 Wherein:
σ is the standard deviation of the elements of the vector s, σ A Average value of standard deviation of data sampled by frequency fc for platform area user historical load curve
Where l is the ratio of the number of non-zero elements of the vector p.
The substantial effects of the invention are as follows: by extracting and analyzing the characteristics of user loads and the tidal current reverse data, the reason for generating the tidal current reverse abnormal work order is discriminated, so that the assignment or suspension of the tidal current reverse abnormal work order has pertinence, the processing efficiency of the abnormal work order is improved, and the operation reliability and efficiency of a power grid are improved.
Drawings
Fig. 1 is a flow chart of a flow reversal abnormal work order processing method according to the present invention.
Fig. 2 is a flow chart of a method for calculating a ratio of a power flow reversal duration to a low-load duration according to the present invention.
Fig. 3 is a flow chart of a method for determining whether a power flow reversal is related to a valley of a user load value fluctuation according to the present invention.
Detailed Description
The following provides a more detailed description of the present invention, with reference to the accompanying drawings.
As shown in fig. 1, a flow chart of the method for processing a tidal current reverse abnormal work order of the present invention includes the following steps: a) When the user firstly has the reversed tide, the indicated value and the reversed tide value are recorded in the user table within the following 24 hours in a period t; b) If the number of the obtained non-zero reverse power flow values in the calling period is smaller than a set threshold value N, adding a user into a white list in the subsequent time T, wherein a power flow reverse abnormal work order is not processed, otherwise, sampling a user historical load curve and a power flow reverse curve respectively at a set frequency fc to obtain a user historical load curve sampling value vector s = (s 1, s2, …, sn) and a power flow reverse curve sampling value vector p = (p 1, p2, …, pn), wherein N is the total number of data samples and a user historical load curve, the user historical load curve is obtained by continuously measuring the electric quantity of a user meter in a period T in the investigation period, the calling data is obtained by replacing the slope of the calling data with the slope of the previous calling data, and the power flow reverse curve sampling is obtained by fitting the reverse power flow data collected by the meter, and the step C is entered; c) D, judging whether the load flow reversal is highly related to the user load, if so, dispatching to carry out on-site inspection on the wiring condition of the meter and the meter, and otherwise, entering the step D; d) Judging whether the power flow reversal occurs only in the low load, if so, entering a step E, and if not, entering a step F; e) Judging whether the duration time of the reversed trend is highly related to the duration time of the low load, if so, dispatching to carry out phenomenon maintenance on the reactive power compensation equipment, and if not, adding the user into a white list in the subsequent time T; f) And judging whether the trend reversal occurrence rule is related to the fluctuation valley height of the user load numerical value, if so, adding the user into a white list in the subsequent time T, and if not, reporting the user trend reversal exception.
The method for judging whether the power flow reversal is highly related to the user load comprises the following steps: and calculating the similarity Tr of the user historical load curve sampling value vector s and the load flow reversal curve sampling value vector p, if the similarity is greater than a set threshold value Ty, judging that the load flow reversal is in true correlation with the user load height, and otherwise, judging that the load flow reversal is in false correlation with the user load height.
The similarity Tr is a percentage value, and the calculation method of the similarity Tr comprises the following steps: and obtaining an average value e of absolute values of differences of all adjacent elements in the sampling value vector of the user historical load curve, regarding element pairs with the absolute values of the differences of the elements at the same positions of the vector s and the vector p smaller than e as similar data pairs, and regarding the ratio of the total number of the similar data pairs of the vector s and the vector p to n as a value of the similarity Tr.
As shown in fig. 2, a flow chart of the method for calculating the ratio of the duration of the reverse power flow to the duration of the low load according to the present invention includes: e1 Marking the element with the element value of 0 in the vector p as 0 and marking the non-zero element as 1 to obtain the vector p b (ii) a E2 Let the value of the low load element in vector s be 1 and the other elements be 0 to obtain vector s p Calculate g = p b ·s p And if the g/n is greater than or equal to the set threshold Gy, determining that the high correlation between the duration of the reversed power flow and the duration of the low load is true, and otherwise, determining that the high correlation between the duration of the reversed power flow and the duration of the low load is false.
The low load judging method comprises the following steps: calculating out
j∈[2，n]Find the match k j All s > σ j And is incorporated into the set C sj σ is a set constant, and σ is in the range of [0.28,0.32 ∈]With C sj The vector s is divided into a plurality of sections by the element(s), the average value Sr of each section is calculated, and the minimum value Sr of the average value is found min Finding out the average value Sr ∈ Sr min ±σ*Sr min All the intervals in (2) are low-load intervals, and elements in the low-load intervals are low-load.
Fig. 3 is a flow chart of the method for determining whether the power flow reversal is related to the valley of the fluctuation of the user load value according to the present invention, which includes: f1 ) calculating
j∈[2，n]Find the match k j All s > σ j And is included in set C sj σ is a set constant, and σ is in the range of [0.36,0.42 ∈]With C sj The element (S) divides the vector S into several sections S1, S2 …, sm, m is the total number of intervals, and the average Sr value of each interval is calculated j ，j∈[1，m](ii) a F2 Construct vector Sr = (Sr 1, sr2, …, srm), if satisfied
And is
Then Sr is j As a trough interval, recording the element of the vector s in the trough interval as 1, and recording the rest elements as 0 to obtain a vector Sg; f3 Marking the element with the element value of 0 in the vector p as 0 and marking the non-zero element as 1 to obtain a vector pb; f4 If)
If tau is a manually set threshold value, judging that the relation between the reverse trend occurrence rule and the fluctuation valley bottom height of the user load numerical value is true, otherwise, judging that the relation between the reverse trend occurrence rule and the fluctuation valley bottom height of the user load numerical value is false, wherein tau belongs to [0.54,0.8 ]]When the load fluctuation is smaller than the normal fluctuation range and the proportion of the non-zero elements of the vector p is larger in the non-low load state, the value of τ is smaller in the interval.
τ＝0.54+0.26*μ 1 *μ 2 Wherein:
σ is the standard deviation of the elements of the vector s, σ A The average value of standard deviations of data sampled at the frequency fc is taken as the historical load curve of the users in the platform area,
where l is the ratio of the number of non-zero elements of the vector p.
The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.
Claims (7)
1. A method for processing a tidal current reverse abnormal work order is characterized in that,
the method comprises the following steps:
a) When the user firstly has reversed tide flow, recording the user table indicating value and the reversed tide flow value in the following 24 hours in a period t call;
b) If the number of the obtained non-zero reverse power flow values in the calling period is smaller than a set threshold value N, adding a user into a white list in the subsequent time T, wherein a power flow reverse abnormal work order is not processed, otherwise, sampling a user historical load curve and a power flow reverse curve respectively at a set frequency fc to obtain a user historical load curve sampling value vector s = (s 1, s2, …, sn) and a power flow reverse curve sampling value vector p = (p 1, p2, …, pn), wherein N is the total number of data samples, the user historical load curve is obtained by continuously calling a user meter to measure the power quantity in a period T in a research period, replacing the calling data with the slope of the calling data and the previous calling data and fitting the calling data, and the reverse power flow curve sampling is obtained by fitting the reverse power flow data collected by the meter and the step C is entered;
c) Judging whether the trend reversal is highly related to the user load, if so, dispatching to carry out on-site inspection on the wiring condition of the meter, and otherwise, entering the step D;
d) Judging whether the power flow reversal occurs only in the low load, if so, entering a step E, and if not, entering a step F;
e) Judging whether the duration time of the reversed trend is highly related to the duration time of the low load, if so, dispatching to carry out phenomenon maintenance on the reactive power compensation equipment, and if not, adding the user into a white list in the subsequent time T;
f) And judging whether the trend reversal occurrence rule is related to the fluctuation valley height of the user load numerical value, if so, adding the user into a white list in the subsequent time T, and if not, reporting the user trend reversal exception.
2. The method for processing the abnormal work order in the reverse direction of the power flow according to claim 1,
the method for judging whether the power flow reversal is highly related to the user load comprises the following steps:
and calculating the similarity Tr of the user historical load curve sampling value vector s and the load flow reversal curve sampling value vector p, if the similarity is greater than a set threshold value Ty, judging that the load flow reversal is in true correlation with the user load height, and otherwise, judging that the load flow reversal is in false correlation with the user load height.
3. The method for processing the abnormal work order in the reverse direction of the power flow according to claim 2,
the similarity Tr is a percentage value, and the calculation method of the similarity Tr comprises the following steps:
and obtaining an average value e of absolute values of differences of all adjacent elements in the sampling value vector of the user historical load curve, regarding element pairs with the absolute values of the differences of the elements at the same positions of the vector s and the vector p smaller than e as similar data pairs, and regarding the ratio of the total number of the similar data pairs of the vector s and the vector p to n as a value of the similarity Tr.
4. The method for processing the abnormal work order in the reverse direction of the power flow according to claim 1 or 2,
the method for judging whether the duration time of the power flow reversal is highly related to the duration time of the low load comprises the following steps:
e1 Denote the element with element value 0 in the vector p as 0, and denote the non-zero element as 1, obtain the vector p b ；
E2 Let the value of the low load element in vector s be 1 and the other elements be 0 to obtain vector s p Calculate g = p b ·s p And if the g/n is greater than or equal to the set threshold Gy, determining that the high correlation between the duration of the reversed power flow and the duration of the low load is true, and otherwise, determining that the high correlation between the duration of the reversed power flow and the duration of the low load is false.
5. The method for processing the abnormal work order in the reverse direction of the power flow according to claim 1, 2 or 3,
the low load judging method comprises the following steps: computing
Find a match k j All s > σ j And is incorporated into the set C sj σ is a set constant, and σ ∈ [0.28,0.32 ]]With C sj The vector s is divided into a plurality of sections by the element(s), the average value Sr of each section is calculated, and the minimum value Sr of the average value is found min Finding out the average value Sr ∈ Sr min ±σ*Sr min All the intervals in (2) are low-load intervals, and elements in the low-load intervals are low-load.
6. The method for processing the abnormal work order in the reverse direction of the power flow according to claim 1 or 2,
the method for judging the relation between the reverse trend occurrence rule and the fluctuation valley height of the user load value comprises the following steps:
f1 ) calculation of
Find a match k j All s > σ j And is incorporated into the set C sj σ is a set constant, and σ ∈ [0.36,0.42 ]]With C sj The vector S is divided into a plurality of intervals S1, S2 …, sm, m is the total number of the intervals, and the average value Sr of each interval is calculated j ，j∈[1，m]；
F2 Constructing vector Sr = (Sr 1, sr2, …, srm) if satisfying
And is
Then Sr is j As a trough interval, recording the element of the vector s in the trough interval as 1, and recording the rest elements as 0 to obtain a vector Sg;
f3 Marking the element with the element value of 0 in the vector p as 0 and marking the non-zero element as 1 to obtain the vector p b ；
F4 If)
If tau is a manually set threshold value, judging that the relation between the reverse trend occurrence rule and the fluctuation valley bottom height of the user load numerical value is true, otherwise, judging that the relation between the reverse trend occurrence rule and the fluctuation valley bottom height of the user load numerical value is false, wherein tau belongs to [0.54,0.8 ]]When the load fluctuation is smaller than the normal fluctuation range and the proportion of the non-zero elements of the vector p is larger when the user is not under low load, the smaller the value of τ in the interval is.
7. The method for processing the power flow reversal abnormal work order as claimed in claim 6, wherein τ =0.54+0.26 μ + 1 *μ 2 Wherein:
σ is the standard deviation of the elements of the vector s, σ A The average value of the standard deviation of the data sampled by the frequency fc for the platform user historical load curve,
where l is the ratio of the number of non-zero elements of the vector p.
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