CN113985202B - Capacitor fault early warning method and device, electronic equipment and storage medium - Google Patents
Capacitor fault early warning method and device, electronic equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Abstract
The invention discloses a capacitor fault early warning method, a capacitor fault early warning device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring a target current set associated with a target capacitor at the current moment; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time; according to each actual current value in the target current set, respectively determining a predicted current value at each current prediction moment; and determining fault information of the target capacitor according to the predicted current value and a preset current threshold set. The current value of the content in a period of time in the future is predicted by a prediction algorithm, so that the problem that whether the target capacitor fails or not can be determined only according to the current value at the current moment is solved, and the effect that whether each capacitor fails or not can be determined in advance, and then effective early warning is carried out on the failure of each capacitor is realized.
Description
Technical Field
The embodiment of the invention relates to the technical field of power grid fault detection, in particular to a capacitor fault early warning method, a capacitor fault early warning device, electronic equipment and a storage medium.
Background
The capacitor plays roles in providing reactive power and inhibiting voltage fluctuation in the power grid, so that the stable operation of the capacitor is important for the normal operation of the power grid.
At present, the neutral point unbalanced current is the most capable of reflecting the overall performance of the capacitor, so that the state of the capacitor is determined by the collected current, and whether the operation of the power grid has faults is determined.
However, a certain problem exists in determining the state of the capacitor based on the collected current, for example, when the capacitor fails, the capacitor generally has a certain period of time and is not instant, so that whether the capacitor fails or not cannot be timely and accurately determined based on the current value collected currently, and the fault early warning is not timely, so that a certain hazard is caused.
Disclosure of Invention
The invention provides a capacitor fault early warning method, a capacitor fault early warning device, electronic equipment and a storage medium, so as to realize the effect of determining whether each capacitor has faults in advance and further carrying out effective early warning on the faults of each capacitor.
In a first aspect, an embodiment of the present invention provides a method for early warning of capacitor failure, including:
acquiring a target current set associated with a target capacitor at the current moment; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time;
According to each actual current value in the target current set, respectively determining a predicted current value at each current prediction moment;
and determining fault information of the target capacitor according to the predicted current value and a preset current threshold set.
In a second aspect, an embodiment of the present invention further provides a capacitor fault early warning device, including:
the target current set acquisition module is used for acquiring a target current set associated with the target capacitor at the current moment; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time;
the predicted current value determining module is used for respectively determining predicted current values at each current predicting moment according to each actual current value in the target current set;
and the fault information determining module is used for determining the fault information of the target capacitor according to the predicted current value and a preset current threshold set.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processors;
storage means for storing one or more programs,
When the one or more programs are executed by the one or more processors, the one or more processors implement the capacitor fault early warning method according to any one of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a capacitive fault warning method according to any one of the embodiments of the present invention.
According to the technical scheme, a target current set associated with a target capacitor at the current moment is obtained; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time, the actual current value is analyzed through a prediction algorithm according to the collected actual current value, and the predicted current value corresponding to the current prediction time at the current time can be determined according to the change rule of the actual current value. According to the actual current values in the target current set, respectively determining the predicted current value at each current prediction time, comparing the predicted current value with a preset current threshold, according to the preset warning levels corresponding to different current thresholds, determining the fault information of the target capacitor according to the predicted current value and the preset current threshold set, and carrying out corresponding warning according to the preset fault information corresponding to different levels. According to the collected actual current value, the current value of the content of a period of time in the future is predicted through a prediction algorithm, so that the problem that whether the target capacitor fails or not can be determined only according to the current value at the current moment is solved, whether each capacitor fails or not can be determined in advance, and then the effect of effectively early warning the failure of each capacitor is achieved.
Drawings
In order to more clearly illustrate the technical solution of the exemplary embodiments of the present invention, a brief description is given below of the drawings required for describing the embodiments. It is obvious that the drawings presented are only drawings of some of the embodiments of the invention to be described, and not all the drawings, and that other drawings can be made according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for early warning of capacitor failure according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a capacitor fault early warning method according to a second embodiment of the present invention;
fig. 3 is a schematic flow chart of a specific implementation of a capacitor fault early warning method according to a third embodiment of the present invention;
FIG. 4 is a schematic diagram of updating a target current value set according to a second embodiment of the present invention;
fig. 5 is a schematic diagram of current value early warning according to a third embodiment of the present invention;
FIG. 6 is a schematic diagram of a current value warning according to a third embodiment of the present invention;
fig. 7 is a schematic diagram of current value early warning according to a third embodiment of the present invention;
fig. 8 is a schematic structural diagram of a capacitor fault early warning device according to a fourth embodiment of the present invention.
Fig. 9 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a schematic flow chart of a capacitor fault early warning method provided by an embodiment of the present invention, where the embodiment is applicable to a situation that a current value at a future time is predicted according to an actual current value before a capacitor in a power grid fails, and then capacitor fault information early warning is performed according to a comparison result of the predicted current value and a preset current threshold.
As shown in fig. 1, the method of the present embodiment includes:
s110, acquiring a target current set associated with a target capacitor at the current moment; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time includes a current time.
The current time may be understood as the time of acquiring the current value; a capacitor is an electronic component that can be used to store electrical energy, can provide reactive compensation and voltage ripple suppression in an electrical grid, and a target capacitance can be understood as a capacitance that requires fault determination among a plurality of capacitors in the electrical grid, and can be, for example, a double star capacitor bank. The target current set comprises a plurality of current values, and the current values are all based on the current values actually acquired by the current acquisition device. In order to accurately predict each current value in the first preset time period after the current time, the current value in each discrete time period in the second preset time period before the current time can be used as the current value in the target current set. When the technical scheme is executed, the starting moment and the time step of current collection can be preset, a plurality of discrete time points can be obtained according to the starting moment and the time step, and each discrete time point is taken as a discrete moment. However, it should be noted that the number of discrete times in the target current set is fixed and is continuous, alternatively, 6 discrete times. Meanwhile, 6 discrete times in the target current set are discrete times with the smallest time interval duration from the current time. The actual current value may be understood as the actual current value that is acquired, and for example, if the target capacitance is a double star capacitor bank, the neutral point unbalanced current value between the connection lines of the double star capacitor bank may be taken as the actual current value.
Specifically, in a period of time, the actual current values corresponding to each discrete moment of the target capacitor are continuously or intermittently acquired, and a plurality of obtained actual current values are obtained. And forming a target current set related to the time sequence according to the acquisition time by each actual current value. The target current set comprises the acquired actual current value at the current moment and the actual current value corresponding to each discrete moment adjacent to the current moment.
Optionally, the acquiring the target current set associated with the target capacitor at the present moment includes: determining at least one discrete moment before the current moment and adjacent to the current moment according to a preset time sequence length, the current moment and a sampling distance; and acquiring actual current values at each discrete moment, and determining the target current set based on each actual current value.
The time sequence length can be understood as the number of corresponding actual current values in the collected target current set; the sampling distance can be understood as the time step of acquiring the actual current value, and the sampling distance can be determined according to the actual situation.
Specifically, the time sequence length, the starting time of current collection and the sampling distance can be preset. And in a period of time, a plurality of discrete moments can be determined according to the sampling distance, then at least one discrete moment before the current moment and adjacent to the current moment is determined, the actual current value corresponding to each discrete moment is obtained, the actual current values corresponding to each discrete moment are arranged in a time sequence, and a target current set based on each actual current value is formed. For example, the time series length is preset to be 5, that is, 5 discrete times are required, the current time is set to be t, the sampling distance is set to be s, and based on the fact that each discrete time in the target current set is respectively t, t-s, t-2s, t-3s and t-4s. Wherein the plurality of discrete moments includes a current moment. Further, a target current set is determined based on the actual current value corresponding to each discrete time.
Optionally, determining the predicted current value of each current prediction time according to each actual current value in the target current set includes: determining weight values corresponding to the discrete moments according to the current moment and the discrete moments in the target current set; and respectively determining the predicted current value of each current predicted time according to the weight value of each discrete time and the corresponding actual current value.
The current prediction time may be understood as a time after the current time when the current value needs to be acquired, and if the current time is t and the sampling distance is not changed, the current prediction time may be represented as t+s, t+2s, … …. It is understood that the number of current prediction moments may be set according to actual requirements, for example, may be set to 3. The predicted current value may be understood as a current value corresponding to the current prediction time obtained by performing calculation or processing according to the actual current value, and it should be noted that the obtained predicted current value is not a current value actually collected, but a predicted current value obtained based on a prediction algorithm. The weight value may be understood as the proportion score of each discrete time, which is set according to the influence degree of each discrete time on the predicted current value in order to obtain a more accurate predicted current value in the process of predicting the current value.
Specifically, the proportion of each discrete time when the current value is predicted is determined according to the distance between the discrete time and the current time, and optionally, the proportion of the discrete time which is closer to the current time is larger and the proportion of the discrete time which is farther from the current time is smaller. And then determining the predicted current value corresponding to each current predicted time according to the current time, the actual current value corresponding to each discrete time and the weight value corresponding to each discrete time.
S120, according to each actual current value in the target current set, respectively determining a predicted current value at each current prediction time.
The method for determining the predicted current value at each current prediction time may be various, and may include, for example, SAE neural network, regression prediction algorithm, time series prediction algorithm, gray prediction model, naive prediction algorithm, differential integration moving average autoregressive model method, weighted sliding window average method, and three-order exponential smoothing method.
Specifically, a corresponding prediction algorithm is selected, each actual current value in the target current set is used as input data in the prediction algorithm, the corresponding predicted current value at the predicted current moment is used as output data, each actual current value is analyzed, and further, the predicted current value corresponding to each current prediction moment can be determined according to the data characteristics and the data change rule of each actual current value.
S130, determining fault information of the target capacitor according to the predicted current value and a preset current threshold set.
The preset current threshold value can be understood as a value of a preset current value, and also can be understood as a maximum current value of the target capacitor capable of working normally, and the preset current threshold value can be used for comparing the predicted current value with the preset current threshold value, and determining whether the preset current value can meet the normal working of the target capacitor or not according to a comparison result. The preset current threshold set may be understood as a set formed by a plurality of preset current thresholds, wherein different preset current thresholds may correspond to different fault information. The fault information may be understood as corresponding pre-warning information set according to a preset current threshold.
Specifically, the current value detection device is used for detecting the connecting line of the target capacitor, so that a corresponding actual current value of the target capacitor at the current moment can be obtained, and then the predicted current value can be further determined based on the determined actual current value. Comparing the predicted current value corresponding to each current prediction time with a preset current threshold value in a preset current threshold value set, if the predicted current value is larger than the preset current threshold value, indicating that the target capacitor is likely to be faulty, and determining fault information of the target capacitor according to the preset current threshold value. It should be noted that, under the condition that the target capacitor operates normally, the current value at the connecting line of the capacitor may be set as a reference value, for example, the reference value may be set to 0A, when the target capacitor fails, the current value may exceed the reference value, and further, whether the target capacitor fails may be determined according to whether the current value exceeds the reference value.
Optionally, the determining, according to the predicted current value and the preset current threshold set, fault information of the target capacitor includes: if the current predicted current value is detected to be larger than the first early warning current value and smaller than the second early warning current value in the preset current threshold set, determining that the target capacitor is a first-level fault. If the current predicted current value is detected to be larger than the second early warning current value, determining that the target capacitor is a secondary fault, and continuously monitoring the predicted current value at the continuous current prediction moment after the current predicted current value.
The first early warning current value and the second early warning current value can be understood as preset different current threshold values corresponding to the early warning current values, are used for representing different levels of fault information of the target capacitor, and can also be used for representing the severity of the fault degree of the target capacitor. The first early warning current value is lower than the second early warning current value, namely, the fault degree of the target capacitor corresponding to the first early warning current value is lower than the fault degree corresponding to the second early warning current value, the first early warning current value corresponds to the first-stage fault of the target capacitor, and the second early warning current value corresponds to the second-stage fault of the target capacitor.
Specifically, comparing the predicted current value with a current threshold value in a preset current threshold value set, and when the current predicted current value is detected to be lower than a first early warning current value, indicating that the target capacitor has no fault; when the current predicted current value is detected to be higher than the first early warning current value and lower than the second early warning current value, the target capacitor is indicated to be in first-level fault at the moment; and when the current predicted current value is detected to be higher than the second early warning current value, the target capacitor is indicated to be in the second-level fault at the moment. The predicted current value at the continuous current prediction time after the present predicted current value is then continuously monitored.
It is understood that the fault of the target capacitor caused by the current value is not determined by the current value at a certain moment, and the fault of the target capacitor is only caused when the current value of the target capacitor is continuously higher than the early warning current value for a period of time, so that the predicted current value corresponding to the continuous current prediction moment after the current predicted current value is continuously monitored for a period of time, and if the predicted current values of the continuous current prediction moments in a preset number after the current prediction moment are all larger than the first early warning current value and smaller than the second early warning current value, the target capacitor can be determined to be a first-stage fault. After the fault information of the target capacitor is determined, corresponding warning information prompt can be performed, for example, the warning information of the fault information can be provided with different signal lamp colors for prompt, for example, the warning information of the first-level fault can be yellow warning lamp on.
Optionally, the continuously monitoring the predicted current value at the continuous current prediction time after the current predicted current value includes: and if the predicted current values of the continuous current prediction moments in the preset quantity after the current prediction moment are all larger than the second early warning current value, the warning information is converted into a buzzer warning by the warning of the indicator lamp.
The preset number may be understood as the number of preset predicted current moments, and may be set to 3, for example. The warning information can be understood as an indication signal for prompting fault information, can be in the form of a signal lamp, can also be in the form of a buzzer and the like.
Specifically, if the predicted current values of the continuous current prediction moments in the preset quantity after the current prediction moment are all larger than the second early warning current value, the current target capacitor is indicated to be in a second-level fault, corresponding warning information prompt is carried out, and warning information is converted into buzzer warning by the indicator lamp; or the indicator light is changed from yellow to red, and the buzzer is started to warn when the indicator light is lightened.
Optionally, the continuously monitoring the predicted current value at the continuous current prediction time after the current predicted current value includes: and if the predicted current values of the continuous current prediction moments in the preset quantity after the current prediction moment are smaller than the first early warning current value, the warning information is warned to be closed by the indicator lamp.
Specifically, when the target capacitor is in the first-level fault, if predicted current values of continuous current prediction moments in a preset number are smaller than the first early warning current value in a period of time after the current prediction moment, fault information of the target capacitor is converted from the first-level fault to no fault, and meanwhile, the indication lamp is turned on to be turned off for warning as warning information.
According to the technical scheme, a target current set associated with a target capacitor at the current moment is obtained; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time, the actual current value is analyzed through a prediction algorithm according to the collected actual current value, and the predicted current value corresponding to the current prediction time at the current time can be determined according to the change rule of the actual current value. According to the actual current values in the target current set, respectively determining the predicted current value at each current prediction time, comparing the predicted current value with a preset current threshold, according to the preset warning levels corresponding to different current thresholds, determining the fault information of the target capacitor according to the predicted current value and the preset current threshold set, and carrying out corresponding warning according to the preset fault information corresponding to different levels. According to the collected actual current value, the current value of the content of a period of time in the future is predicted through a prediction algorithm, so that the problem that whether the target capacitor fails or not can be determined only according to the current value at the current moment is solved, whether each capacitor fails or not can be determined in advance, and then the effect of effectively early warning the failure of each capacitor is achieved.
Example two
As an optional embodiment of the foregoing embodiment, fig. 2 is a schematic flow chart of a capacitive fault early warning method provided in the second embodiment of the present invention, and optionally, the predicted current values at the predicted time of each current are determined according to the weight values at each discrete time and the corresponding actual current values, so as to further refine the predicted current values.
As shown in fig. 2, the specific method includes:
s210, acquiring a target current set associated with a target capacitor at the current moment; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time includes a current time.
S220, determining weight values corresponding to the discrete moments according to the current moment and the discrete moments in the target current set.
S230, determining at least one current prediction time after the current time according to the current time, the prediction length sequence and the sampling distance.
The predicted length sequence may be understood as the number of current value predicting moments, including the calculated predicted current value corresponding to each current predicting moment, and the number of current predicting moments may be one or more, for example, may be set to 3. The predicted current moment is understood to be a discrete moment after the current moment, the sampling distance of the current predicted moment from the current moment being the same as the above mentioned sampling distance.
Specifically, according to the current time of collecting the actual current value, the preset predicted length sequence and the sampling distance, a plurality of discrete time can be obtained, each discrete time after the current time is taken as the current value predicted time, and the number of the current value predicted time can be determined according to the number of the obtained discrete time. Illustratively, if the current time is set to t, the predicted length sequence is 3, and the sampling distance is the same as the above-mentioned sampling distance, it may be determined that at least one current predicted time after the current time is t+s, t+2s, and t+3s.
S240, determining a first predicted current value of a target current predicted time with the minimum interval duration with the current time according to the actual current value and the corresponding weight value of each discrete time.
The number of target current prediction time is equal to the number of prediction length sequences, and the target current prediction time is understood to be each discrete current time after the current time of collecting the actual current value. The first predicted current value may be understood as a predicted current value corresponding to a target current prediction time having a smallest time interval from a current time among target current prediction times.
Specifically, the actual current values corresponding to the discrete moments are collected, the weight value corresponding to each actual current value is set, each actual current value is multiplied by the weight value corresponding to the current value, products obtained by the actual current values and the corresponding weights are added to obtain the sum of the products, and the ratio of the sum of the products to the preset time sequence length is used as the first predicted current value. The first point predicted current value is a current value corresponding to a target current predicted time having a minimum current time interval duration.
Taking a prediction algorithm as an example of a weighted sliding window averaging method, if the preset time series length is 3, that is, the number of discrete time points before the current time point is 3, the actual current value at each discrete time point is I 1 、I 2 And I 3 The weight value corresponding to each actual current value is w 1 、w 2 And w 3 The first predicted current value is (w 1 *I 1 +w 2 *I 2 +w 3 *I 3 )/3。
The actual current value corresponding to the discrete current time having the closer distance to the present time has a larger influence on the predicted current value, and therefore, the weight value corresponding to the discrete current predicted time having the closer distance to the present time is larger.
S250, eliminating the actual current value of the discrete time with the longest time interval duration with the current time in the target current set based on the first predicted current value to obtain an updated target current set.
If the number of the actual current values corresponding to the discrete moments in the target current set is k, the updated target current set comprises the actual current values corresponding to k-1 discrete moments closest to the current moment and the first predicted current value.
Specifically, the target current set includes a plurality of actual current values corresponding to discrete moments, and when a first predicted current value is obtained according to each actual current value in the target current set, the actual current value corresponding to the discrete moment farthest from the current moment in the target current set is removed, and then the first predicted current moment is used as a new current value to supplement, so that the target current set is updated. In other words, after the actual current value corresponding to the discrete time farthest from the current time is removed, the positions of all the current values are shifted to the left by one position in the target current set, the first predicted current value is supplemented to the last position in the target current set, and the target current set is updated to obtain the updated target current set.
For example, as shown in FIG. 3, the time series of the target current set is 5, and includes 5 discrete time instants, the time series of the target current set is t-4s, t-3s, t-2s, t-s and t, respectively, and the actual current values corresponding to the discrete time instants are I 1 、I 2 、I 3 、I 4 And I 5 . Assume that weight values corresponding to the actual current values are w 1 、w 2 、w 3 、w 4 And w 5 The first predicted electricity can be further obtained according to each actual current value and the corresponding weight valueThe flow value is I 6 . Then, based on the obtained first predicted current value, the actual current value at the discrete time with the longest current time interval length is removed, namely the actual current value I corresponding to the t-4s time is removed 1 The updated target current set can be obtained from the target current set supplemented by the first predicted current value, and the updated target current set is I 2 、I 3 、I 4 、I 5 And I 6 。
And S260, updating the current prediction time with the smallest time interval duration with the target current prediction time in each current prediction time to be the target current prediction time, and determining a first prediction current value of the target current prediction time based on each actual current value and the first prediction current value in the target current set.
The target current prediction time may be understood as a first discrete time corresponding to a current value that can be predicted from an actual current value.
Specifically, after updating the target current set, the predicted current value corresponding to each current prediction time is updated. And after supplementing the first predicted current value to the updated target current set, updating the current prediction time with the minimum time interval with the target circuit prediction time to be the target current prediction time. And then, based on each actual current value and the first predicted current value in the updated target current set, calculating a predicted current value corresponding to the next time of the updated target current set, and updating the calculated predicted current value into the first predicted current value of the target current predicted time.
S270, repeatedly executing the steps of removing the actual current value of the discrete time with the longest interval duration with the current time in the target current set based on the first predicted current value to obtain an updated target current set, and determining the first predicted current value of each current predicted time based on the target current set until each current predicted time is traversed.
S280, determining fault information of the target capacitor according to the predicted current value and a preset current threshold set.
According to the technical scheme of the embodiment, at least one current prediction time after the current time is determined according to the current time, the prediction length sequence and the sampling distance, the prediction current value corresponding to each current prediction time after the current time is determined, the first prediction current value of the target current prediction time with the minimum interval duration of the current time is determined according to the actual current value and the corresponding weight value of each discrete time, and the first prediction current value is used as the current prediction value corresponding to the target current prediction time in the target current set. And eliminating the actual current value at the discrete moment with the longest interval duration with the current moment in the target current set based on the first predicted current value to obtain an updated target current set, and predicting the current value at the next moment according to the current value in the updated target current set. Updating the current prediction time with the minimum interval duration with the target current prediction time in each current prediction time to be the target current prediction time, determining a first prediction current value of the target current prediction time based on each actual current value and the first prediction current value in the target current set, repeatedly executing the elimination of the actual current value with the longest interval duration with the current time in the target current set based on the first prediction current value to obtain an updated target current set, determining the first prediction current value of each current prediction time based on the target current set until each current prediction time is traversed, comparing the prediction current value with a preset current threshold value according to the obtained prediction current value corresponding to each current prediction time, and further determining the current fault information of the target capacitor. The problem of the fault information hysteresis of the target capacitor determined according to the current value at the current moment is solved, and the effect of judging whether the target capacitor has faults in advance through the predicted current value is achieved by comparing the predicted current value with the preset current threshold value within a period of time.
Example III
In a specific example, the capacitor bank on-line monitoring and early warning method is shown in fig. 4.
Taking a double star capacitor bank as an example, the current value of the neutral point on the connection line of the capacitor bank is taken as a reference value, namely 0A under the normal operation condition of the double star capacitor bank. The actual current value I of the neutral point in the double star capacitor obtained by the current transformer is recorded in real time through the current recording equipment, a time sequence related to the I is formed, and the predicted current value I of each discrete time after the current time is obtained by predicting the time sequence through a weighted sliding window average method.
The specific steps for determining the target capacitance fault are as follows:
(1) First, a target current set I is established T ＝{I i-n+1 ,I i-n+2 ，......，I i-1 ，I i N is a self-defined time sequence length, I is a discrete time corresponding to the current actual current value, I i And c is an unbalanced current value of the neutral point measured at the moment i, the interval of each acquisition is c, and the value of c is not fixed and can be set in a self-defined way.
(2) Predicting time series in the target current set by adopting a weighted sliding window average method (namely, executing S120 of the technical scheme)
Assuming that the current time is i, the neutral point current predicted value at the (i+1) th time is F i+1 Then
F i+1 ＝(w 1 *I i-n+1 +w 2 *I i-n+2 +......+w n *I i )/n
Wherein F is i+1 A first predicted current value corresponding to the predicted current time; w (w) 1 ，w 2 ，...，w n The weight corresponding to each discrete moment is defined, and n is the self-defined time sequence length; i is the discrete moment corresponding to the current actual current value; i i The neutral point unbalance current value measured at the time i.
Similarly, the predicted neutral point current at the i+1 th time and the predicted neutral point current at the i+m th time are respectively
F i+2 ＝(w 1 *I i-n+2 +w 2 *I i-n+3 +......+w n *F i+1 )/n
F i+m ＝(w 1 *I i-n+1+m +w 2 *I i-n+2+m +......+w n *F i+m )/n
Wherein F is i+1 A first predicted current value corresponding to the predicted current time; f (F) i+m A predicted current value corresponding to the predicted current time at the i+m time; n is the self-defined time sequence length; w (w) 1 ，w 2 ，...，w n The weight corresponding to each discrete moment; m is the set predicted time series length (i.e., the number of current prediction instants).
(3) Implementation of the target capacitance on-line monitoring and early warning function (i.e. executing S130 of the technical scheme)
The actual current value corresponding to each discrete time in the target current set is predicted by adopting a weighted sliding window average method to predict the predicted current value corresponding to each current predicted time after the current time, so as to obtain the predicted current value F corresponding to each discrete time after the current time i+m Then F is carried out i+m And comparing the fault information with a preset current threshold value, and judging the fault information of the target capacitor. If F i+m A first-level early warning threshold I in a preset current threshold or more y1 A first-level early warning threshold I smaller than a preset current threshold y2 (the early warning threshold value can be set in a self-defining way), record I y1 <F i+m <I y2 If the number a of the continuous j moments predicted value F in a later period of time i+m Are all higher than I y1 I.e. a>j, starting a first-level early warning, and lighting a yellow signal lamp of the warning device. After the first-level early warning is started, recording I y1 >F i+m If the number b of the continuous j time predictive values I in a period of time y1 Are all higher than F i+m I.e. b>j, closing the first-stage early warning if b<j, the first-level early warning is kept. If F i+m A secondary early warning threshold I in a preset current threshold is greater than or equal to y2 Record I y1 <F i+m <I y2 If the number d of the continuous j moments predicted value F in a period of time thereafter i+m Are all higher than I y1 I.e. d>j, starting the secondary early warningThe red signal lamp of the alarm device is turned on, and the buzzer is started.
Wherein, j continuous moments represent the number of continuous current prediction moments in the preset number, and j is less than or equal to m.
The following three results can be obtained by comparing the predicted current value corresponding to each predicted current time with a preset current threshold value:
a) Predicted current value F i+m Always kept at the first-level early warning threshold I y1 And a second-level early warning threshold I y2 The state of the early warning device is unchanged, and the yellow signal lamp is lightened;
b) Predicted value F i+m All of j consecutive moments in time thereafter are below I y1 The yellow signal lamp of the early warning device is extinguished;
c) Predicted value F i+m All j moments in succession are higher than I after a period of time y2 The red signal lamp of the early warning device is lightened and the buzzer is started.
In order to better detect the effectiveness of the method, the technical scheme is verified in a simulation manner on matlab for various possible situations. Wherein n is set to 6, m is set to 3, j is set to 3, I y1 And I y2 Set to 0.1A and 0.13A, w respectively 1 To w 6 Set to 0.3,0.6,0.9,1.08,1.32,1.8, respectively.
(1) Maintaining primary early warning
Let the target current set I T1 By calculating each actual current value in the target current set by a weighted sliding window averaging method, a corresponding neutral point current predicted value, that is, a first current predicted value, can be obtained. I according to a preset current value threshold y1 And I y2 Starting a weighted sliding window average algorithm, as shown in fig. 5, starting a first-level early warning at a fifth moment and keeping all the time, and starting from I T1 The actual current value collected can be verified as I y1 And I y2 The function of primary early warning can be realized.
(2) After the primary early warning is started, the primary early warning is canceled under a certain condition
Let the target current set I T2 = {0.05,0.05,0.06,0.07,0.09,0.09,0.1,0.11,0.12,0.11,0.12,0.11,0.12,0.11,0.105,0.095,0.09,0.09,0.08,0.08,0.09,0.08,0.07}, according to the set I y1 And I y2 As shown in FIG. 6, the first-stage early warning is started at the 4 th moment and closed at the 12 th moment, which accords with I T2 The data rule of the system can realize the function of early warning cancellation after the first-stage early warning.
(3) Maintaining secondary early warning
Let the target current set I T3 = {0.06,0.07,0.07,0.08,0.09,0.1,0.11,0.12,0.12,0.13,0.135,0.13,0.135,0.14,0.13,0.135,0.13,0.125,0.12,0.13,0.13,0.135,0.132}, according to the set I y1 And I y2 The algorithm is started, resulting in fig. 7. From the figure, it can be seen that the first-level early warning is started at the 3 rd moment, is closed at the 7 th moment, and the second-level early warning is started at the 7 th moment and exists all the time after the second-level early warning is started at the 7 th moment, so that I is met T3 The data rule of the system can realize the function of early warning cancellation after the first-stage early warning.
According to the technical scheme, a target current set associated with a target capacitor at the current moment is obtained; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time, the actual current value is analyzed through a prediction algorithm according to the collected actual current value, and the predicted current value corresponding to the current prediction time at the current time can be determined according to the change rule of the actual current value. According to the actual current values in the target current set, respectively determining the predicted current value at each current prediction time, comparing the predicted current value with a preset current threshold, according to the preset warning levels corresponding to different current thresholds, determining the fault information of the target capacitor according to the predicted current value and the preset current threshold set, and carrying out corresponding warning according to the preset fault information corresponding to different levels. According to the collected actual current value, the current value of the content of a period of time in the future is predicted through a prediction algorithm, so that the problem that whether the target capacitor fails or not can be determined only according to the current value at the current moment is solved, whether each capacitor fails or not can be determined in advance, and then the effect of effectively early warning the failure of each capacitor is achieved.
Example IV
Fig. 8 is a schematic diagram of a capacitor fault early warning device according to a fourth embodiment of the present invention, where the device includes: a target current set acquisition module 410, a predicted current value determination module 420, and a fault information determination module 430.
A target current set acquisition module 410, configured to acquire a target current set associated with a target capacitor at a current moment; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time;
a predicted current value determining module 420, configured to determine a predicted current value at each current prediction time according to each actual current value in the target current set;
the fault information determining module 430 is configured to determine fault information of the target capacitor according to the predicted current value and a preset current threshold set.
According to the technical scheme, a target current set associated with a target capacitor at the current moment is obtained; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time, the actual current value is analyzed through a prediction algorithm according to the collected actual current value, and the predicted current value corresponding to the current prediction time at the current time can be determined according to the change rule of the actual current value. According to the actual current values in the target current set, respectively determining the predicted current value at each current prediction time, comparing the predicted current value with a preset current threshold, according to the preset warning levels corresponding to different current thresholds, determining the fault information of the target capacitor according to the predicted current value and the preset current threshold set, and carrying out corresponding warning according to the preset fault information corresponding to different levels. According to the collected actual current value, the current value of the content of a period of time in the future is predicted through a prediction algorithm, so that the problem that whether the target capacitor fails or not can be determined only according to the current value at the current moment is solved, whether each capacitor fails or not can be determined in advance, and then the effect of effectively early warning the failure of each capacitor is achieved.
On the basis of any optional technical scheme in the embodiment of the present invention, optionally, the target current set acquisition module specifically includes:
the discrete time determining submodule is used for determining at least one discrete time before the current time and adjacent to the current time according to the preset time sequence length, the current time and the sampling distance;
and the target current set determining submodule is used for acquiring actual current values at each discrete moment and determining the target current set based on each actual current value.
On the basis of any optional technical scheme in the embodiment of the present invention, optionally, the prediction current value determining module specifically includes:
the weight value determining submodule is used for determining weight values corresponding to discrete moments according to the current moment and the discrete moments in the target current set;
the predicted current value determination submodule is used for respectively determining the predicted current value of each current predicted time according to the weight value of each discrete time and the corresponding actual current value.
On the basis of any optional technical scheme in the embodiment of the present invention, optionally, the predicted current value determining submodule specifically includes:
a current prediction time determining unit, configured to determine at least one current prediction time after the current time according to the current time, the predicted length sequence and the sampling distance;
A first predicted current value determining unit, configured to determine a first predicted current value at a target current predicted time with a minimum interval duration from a current time according to an actual current value and a corresponding weight value at each discrete time;
a target current set determining unit, configured to reject, based on the first predicted current value, an actual current value at a discrete time with the longest interval duration with the current time in the target current set, to obtain an updated target current set;
an updating unit, configured to update, to the target current prediction time, a current prediction time having a minimum time interval from the target current prediction time in each current prediction time, and determine a first predicted current value of the target current prediction time based on each actual current value and the first predicted current value in the target current set;
and the repeated execution unit is used for repeatedly executing the steps of eliminating the actual current value of the discrete time with the longest interval duration with the current time in the target current set based on the first predicted current value to obtain an updated target current set, and determining the first predicted current value of each current predicted time based on the target current set until each current predicted time is traversed.
On the basis of any optional technical scheme in the embodiment of the present invention, optionally, the fault information determining module specifically includes:
the primary fault determination submodule is used for determining that the target capacitor is primary fault if the current predicted current value is detected to be larger than a first early warning current value in the preset current threshold set and smaller than a second early warning current value;
and the secondary fault determination submodule is used for determining the target capacitor as a secondary fault if the current predicted current value is detected to be larger than the second early warning current value, and continuously monitoring the predicted current value at the continuous current prediction moment after the current predicted current value.
On the basis of any optional technical scheme of the embodiment of the present invention, optionally, the secondary fault determination submodule is configured to:
and if the predicted current values of the continuous current prediction moments in the preset quantity after the current prediction moment are all larger than the second early warning current value, the warning information is converted into a buzzer warning by the warning of the indicator lamp.
On the basis of any optional technical scheme of the embodiment of the present invention, optionally, the secondary fault determination submodule is configured to:
and if the predicted current values of the continuous current prediction moments in the preset quantity after the current prediction moment are smaller than the first early warning current value, the warning information is warned to be closed by the indicator lamp.
The capacitor fault early warning device provided by the embodiment of the invention can execute the capacitor fault early warning method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
It should be noted that each unit and module included in the above apparatus are only divided according to the functional logic, but not limited to the above division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the embodiments of the present invention.
Example five
Fig. 9 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention. Fig. 9 shows a block diagram of an exemplary electronic device 40 suitable for use in implementing the embodiments of the present invention. The electronic device 40 shown in fig. 9 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 9, the electronic device 40 is in the form of a general purpose computing device. Components of electronic device 40 may include, but are not limited to: one or more processors or processing units 401, a system memory 402, a bus 403 that connects the various system components (including the system memory 402 and the processing units 401).
The system memory 402 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 404 and/or cache memory 405. Electronic device 40 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 406 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 9, commonly referred to as a "hard drive"). Although not shown in fig. 9, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 403 through one or more data medium interfaces. Memory 402 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 408 having a set (at least one) of program modules 407 may be stored in, for example, memory 402, such program modules 407 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 407 generally perform the functions and/or methods of the described embodiments of the invention.
The electronic device 40 may also communicate with one or more external devices 409 (e.g., keyboard, pointing device, display 410, etc.), one or more devices that enable a user to interact with the electronic device 40, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device 40 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 411. Also, electronic device 40 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 412. As shown, network adapter 412 communicates with other modules of electronic device 40 over bus 403. It should be appreciated that although not shown in fig. 9, other hardware and/or software modules may be used in connection with electronic device 40, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 401 executes various functional applications and data processing by running a program stored in the system memory 402, for example, to implement the capacitance failure warning method provided by the embodiment of the present invention.
Example six
A sixth embodiment of the present invention also provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a capacitance fault warning method, the method comprising: acquiring a target current set associated with a target capacitor at the current moment; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time; according to each actual current value in the target current set, respectively determining a predicted current value at each current prediction moment; and determining fault information of the target capacitor according to the predicted current value and a preset current threshold set.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (8)
1. The capacitor fault early warning method is characterized by comprising the following steps of:
acquiring a target current set associated with a target capacitor at the current moment; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time;
determining weight values corresponding to the discrete moments according to the current moment and the discrete moments in the target current set;
according to the weight value and the corresponding actual current value of each discrete moment, respectively determining the predicted current value of each current predicted moment;
Determining fault information of the target capacitor according to the predicted current value and a preset current threshold set;
wherein, according to the weight value and corresponding actual current value of each discrete moment, the predicted current value of each current predicted moment is determined respectively, including: determining at least one current prediction time after the current time according to the current time, the prediction length sequence and the sampling distance; determining a first predicted current value of a target current predicted time with the minimum interval duration with the current time according to the actual current value and the corresponding weight value of each discrete time; removing the actual current value of the discrete time with the longest interval duration with the current time in the target current set based on the first predicted current value to obtain an updated target current set; updating a current prediction time with the smallest interval duration with the target current prediction time in each current prediction time to be the target current prediction time, and determining a first prediction current value of the target current prediction time based on each actual current value and the first prediction current value in the target current set; and repeatedly executing the steps of removing the actual current value of the discrete time with the longest interval duration with the current time in the target current set based on the first predicted current value to obtain an updated target current set, and determining the first predicted current value of each current predicted time based on the target current set until each current predicted time is traversed.
2. The method of claim 1, wherein the obtaining the set of target currents associated with the target capacitance at the present time comprises:
determining at least one discrete moment before the current moment and adjacent to the current moment according to a preset time sequence length, the current moment and a sampling distance;
and acquiring actual current values at each discrete moment, and determining the target current set based on each actual current value.
3. The method of claim 1, wherein determining fault information for the target capacitance based on the predicted current values and a set of preset current thresholds comprises:
if the current predicted current value is detected to be larger than the first early warning current value and smaller than the second early warning current value in the preset current threshold set, determining that the target capacitor is a first-level fault;
if the current predicted current value is detected to be larger than the second early warning current value, determining that the target capacitor is a secondary fault, and continuously monitoring the predicted current value at the continuous current prediction moment after the current predicted current value.
4. A method according to claim 3, wherein continuously monitoring the predicted current value at successive current prediction moments after the present predicted current value comprises:
And if the predicted current values of the continuous current prediction moments in the preset quantity after the current prediction moment are all larger than the second early warning current value, the warning information is converted into a buzzer warning by the warning of the indicator lamp.
5. A method according to claim 3, wherein continuously monitoring the predicted current value at successive current prediction moments after the present predicted current value comprises:
and if the predicted current values of the continuous current prediction moments in the preset quantity after the current prediction moment are smaller than the first early warning current value, the warning information is warned to be closed by the indicator lamp.
6. A device for capacitor fault pre-warning, comprising:
the target current set acquisition module is used for acquiring a target current set associated with the target capacitor at the current moment; wherein the target current set comprises discrete times before the current time and adjacent to the current time and actual current values corresponding to the discrete times; the discrete time comprises the current time;
the weight value determining module is used for determining weight values corresponding to the discrete moments according to the current moment and the discrete moments in the target current set;
The predicted current value determining module is used for respectively determining the predicted current value of each current predicted time according to the weight value of each discrete time and the corresponding actual current value;
the fault information determining module is used for determining fault information of the target capacitor according to the predicted current value and a preset current threshold set;
wherein the predicted current value determination module includes: a current prediction time determining unit, configured to determine at least one current prediction time after the current time according to the current time, the predicted length sequence and the sampling distance; a first predicted current value determining unit, configured to determine a first predicted current value at a target current predicted time with a minimum interval duration from a current time according to an actual current value and a corresponding weight value at each discrete time; a target current set determining unit, configured to reject, based on the first predicted current value, an actual current value at a discrete time with the longest interval duration with the current time in the target current set, to obtain an updated target current set; an updating unit, configured to update, to the target current prediction time, a current prediction time having a minimum time interval from the target current prediction time in each current prediction time, and determine a first predicted current value of the target current prediction time based on each actual current value and the first predicted current value in the target current set; and the repeated execution unit is used for repeatedly executing the steps of eliminating the actual current value of the discrete time with the longest interval duration with the current time in the target current set based on the first predicted current value to obtain an updated target current set, and determining the first predicted current value of each current predicted time based on the target current set until each current predicted time is traversed.
7. An electronic device, the electronic device comprising:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of capacitive fault alerting of any of claims 1-5.
8. A storage medium containing computer executable instructions which, when executed by a computer processor, are for performing the method of capacitive fault warning as claimed in any one of claims 1 to 5.
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